{ "count" : 154328, "data" : [ { "id" : "6a2c743c74d8ee00a0934630", "title" : "Staff Analyst - Operational Analytics & Reporting", "company" : "Openly", "industry" : "Operations", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Staff Analyst in the US Insurance industry, adjusted for seniority and remote work." }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "certifications" : [ "CPCU" ], "timestamp" : "2026-06-15T22:15:47.461", "fingerprint" : "d29f12f25d5661d588d9966114d434f944c90066ac50988d8dbe410614b8b3be", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/openly/5bfa71a0-a922-4636-9522-53a77ad260ec/application", "externalId" : "5bfa71a0-a922-4636-9522-53a77ad260ec", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, LookerStudio", "professionalSkills" : [ "Analytical Framework", "Process Architecture", "Business Case Leadership", "Stakeholder Diplomacy", "Storytelling" ], "hardSkillsList" : [ "Predictive modeling", "AI leveraging" ], "hardSkills" : [ { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "AI leveraging", "level" : "intermediate" } ], "majorSkills" : "Operational Analytics, Reporting, Data Strategy", "majorSkillsList" : [ "Operational Analytics", "Reporting", "Data Strategy" ], "coreResponsibilities" : "Translate objectives into analytical projects, Design and standardize reporting methodologies, Calculate key business health metrics, Lead development of business cases, Integrate ROI analysis, Assess downstream data impact, Serve as analytical consultant, Prioritize initiatives based on data potential, Translate data into narratives, Lead stakeholders to insights, Lead stakeholders to decisions", "teamCollaboration" : "Cross-functional influence; Analytical consultant for department heads", "projectManagementSkills" : [ "Manage vague projects" ], "domainKnowledge" : "Personal lines insurance; Homeowners insurance; Auto insurance; Insurance operational functions; Property claims", "domainList" : [ "personal-lines-insurance", "homeowners-insurance", "auto-insurance", "insurance-operational-functions", "property-claims" ], "domainSpecificKnowledge" : [ "Personal lines insurance", "Homeowners insurance", "Auto insurance", "Insurance operational functions", "Property claims" ], "toolProficiency" : [ "LookerStudio" ], "communicationSkills" : "Executive-ready narratives", "problemSolvingSkills" : "Analytical frameworks", "qualificationsBasic" : "Several years of experience in personal lines insurance analytics, Expert-level SQL, Experience building predictive models, Experience leveraging AI, Advanced LookerStudio expertise, Mastery of insurance operational functions, Ability to manage vague projects", "qualificationsPreferred" : "Homeowners and Auto analytics experience, Experience in property claims, Progress toward actuarial exams", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "JOB DETAILS Openly is seeking a Staff Analyst to join the Finance & Strategy team. This role serves as a critical link between high-level strategic vision and tactical operational delivery. Reporting to the Senior Director of Operations Analytics and Reporting, you will move beyond functional support to own the analytical frameworks for our most significant business drivers. The ideal candidate has mastered the \"how\" of insurance analytics and is ready to take ownership of the \"what next.\" You will not only provide insights to stakeholders across the organization but will also proactively identify where our data strategy needs to evolve to meet company objectives. In this role, you would serve as the lead solution designer for the team by leveraging deep technical expertise to design durable, cross-functional reporting & analysis. KEY RESPONSIBILITIES Analytical Framework & Strategy - Bridge the Gap: Translate broad leadership objectives into structured analytical projects with defined milestones, moving from \"answering questions\" to \"building solutions.\" - Process Architecture: Design and standardize reporting methodologies across the team to ensure that metrics key business health metrics are calculated with unified logic across all operational functions. - Business Case Leadership: Lead the development of complex business cases for new initiatives, integrating ROI analysis with downstream data impact assessments. Cross-Functional Influence - Stakeholder Diplomacy: Serve as the primary analytical consultant for department heads, helping them prioritize their upcoming initiatives as well as new ideas based on data-driven potential. - Storytelling: Translate complex data into compelling, executive-ready narratives that don't just report numbers, but actively lead stakeholders to critical insights and balanced decisions regarding growth and profitability. REQUIREMENTS - Experience: Several years of experience in personal lines insurance analytics (Homeowners and Auto highly preferred). - Technical Mastery: Expert-level SQL and experience / interest in building predictive models and leveraging AI - Visualization: Advanced LookerStudio expertise, specifically in building executive reporting suites that roll up operational data into strategic dashboards. - Cross-Functional Synthesis: Deep mastery of insurance operational functions (auto and or property claims is a plus) with the strategic confidence to act as a \"connective tissue\" for leadership—leveraging a macro-view of the data to identify dependencies and opportunities across the entire value chain. - Autonomy: Proven ability to manage \"vague\" projects, creating structure where none exists without needing daily direction. - Education/Designation: Degree in a quantitative field; CPCU or progress toward actuarial exams is a strong plus. #LI-CB", "summaryDescription" : "Staff Analyst - Operational Analytics & Reporting at Openly. Skills: Operational Analytics, Reporting, Data Strategy. Translate objectives into analytical projects. Design and standardize reporting methodologies", "createdAt" : "2026-06-14T18:48:23.828", "lastUpdated" : "2026-06-15T22:15:47.461", "ingestTimestamp" : "2026-06-14T18:48:23.828", "mongoId" : "6a2c743c74d8ee00a0934630", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Predictive modeling", "AI leveraging", "Operational Analytics", "Reporting", "Data Strategy", "Analytical Framework", "Process Architecture", "Business Case Leadership", "Stakeholder Diplomacy", "Storytelling", "Manage vague projects", "Personal lines insurance", "Homeowners insurance", "Auto insurance", "Insurance operational functions", "Property claims", "CPCU", "LookerStudio" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.95 }, { "id" : "6a309d64f292fd229c1030e0", "title" : "Senior Manager, GTM Operational Excellence", "company" : "Remote", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Manager in the US SaaS industry, adjusted for remote work and manager-level experience." }, "location" : "Remote-NORAM", "locations" : [ "Remote-NORAM" ], "timestamp" : "2026-06-16T11:55:18.570", "fingerprint" : "34e31b0b23dbed8d265bc9b0fddd642aead64794eaf052c3520ba167e1e93038", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/remotecom/jobs/7773957003", "externalId" : "7773957003", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States; Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Remote Remote is solving modern organizations’ biggest challenge – navigating global employment compliantly with ease. We make it possible for businesses of all sizes to recruit, pay, and manage international teams. With our core values at heart and future focused work culture, our team works tirelessly on ambitious problems, asynchronously, around the world. You can find Remoters working from 6 different continents (Antarctica left to go!) and all of our positions are fully remote. With Innovation as one of the core values, we have built Automation and AI capabilities into the requirements for every role. We encourage every member of the Remote team to bring their talents, experiences and culture to the table to help us build the best-in-class HR platform. If you are energetic, curious, motivated and ambitious, be part of our world. Apply now and define the future of work! What this job can offer you As the Senior Manager, GTM Operational Excellence, you will architect and lead the future of how our Go-To-Market (GTM) organization operates. In this role, you aren't just managing processes—you are redefining them. At Remote, AI handles our operational floor (ticket resolution, knowledge retrieval, routine fixes). Your mission is to lead a high-performing team focused on the operational ceiling: identifying root causes of friction, designing enterprise-grade systemic fixes, and partnering deeply with executive stakeholders across RevOps, Systems, Data, and Enablement to drive behavioral changes that scale. You will have a seat at the table in shaping our AI-integrated operations strategy. What you bring Experience: Deep experience in BizOps, Strategy & Operations, or RevOps within a fast-growing SaaS environment, with at least 2–3 years of experience successfully managing and scaling high-performing teams. Scale Mindset: A proven track record of building, scaling, and maturing GTM systems and processes from mid-stage growth through enterprise scale. Technical Acumen: Deep working knowledge of Salesforce and complex GTM tech stacks (e.g., Enterprise CPQ, automated lead routing, complex compensation tooling). AI & Automation Fluent: A strong builder's mindset with hands-on experience leveraging AI tools, LLMs, and automation workflows to optimize business operations. You view AI as a core operational lever, not a buzzword. Leadership Persona: You operate with an executive-level \"the buck stops here\" mentality. You are comfortable navigating ambiguity, driving alignment across matrixed organizations, and taking full accountability for global outcomes. Communication: Exceptional written and verbal English communication skills, with a proven ability to distill complex operational challenges into clear, actionable executive narratives. Remote Work: Prior experience working in a globally distributed, asynchronous environment is a strong plus. Key Responsibilities Strategic Leadership & Vision Operational Roadmap: Define and execute the multi-quarter strategy and vision for GTM Operational Excellence, aligning it with Remote’s overarching growth and revenue goals. Team Leadership: Hire, develop, and lead a high-performing team of operations managers and analysts. Act as a mentor and coach, fostering a culture of extreme ownership and continuous improvement. Executive Stakeholder Management: Serve as the primary strategic partner to VP and C-level leaders across GTM, Systems, Product, and Finance to align operational initiatives with business priorities. AI & Systems Transformation AI-Driven Architecture: Oversee the strategy for Remote’s AI ticketing layer, automated knowledge bases, and AI agent tuning. Ensure our AI tech stack is optimized to maximize deflection rates and streamline GTM workflows. Systemic Problem Solving: Move beyond symptom management. Lead deep root-cause analyses on complex enterprise-level operational issues and collaborate with Systems/Engineering teams to ship scalable, permanent fixes. Incident Command & Post-Mortems: Own the post-mortem process for major operational incidents, translating systemic vulnerabilities into robust, future-proof infrastructure improvements. Enterprise Change Management & Governance Global Change Frameworks: Establish and mature Remote’s global change management framework. Ensure high adoption rates for new GTM programs through comprehensive communication strategies, enablement alignment, and executive buy-in. Metrics & Business Impact: Own the KPIs that define operational health. Track, analyze, and present executive-level reports on core metrics including ticket volume reduction, AI deflection rates, cost-to-serve, mean time to resolution (MTTR), and change adoption velocity. Practicals You'll report to: Director, Sales Operations Team: RevOps - Sales Operations Location: For this position we welcome everyone to apply, but we will prioritise applications from the EMEA as we encourage our teams to diversify Start date: As soon as possible Application process Roughly 6 hours across 4 weeks Interview with recruiter Interview with Director, Sales Operations Interview with a cross-functional partner (async) RevOps case study Case study presentation to SVP, RevOps & Finance and Director, Sales Operations Prior employment verification check Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries. At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce. We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change. At Remote, we foster internal mobility as a key element of our culture of employee growth and development, supported by a compensation philosophy that guarantees pay equity and fairness. Therefore, all compensation changes associated with an internal move will be reviewed by the Total Rewards & People Enablement team on a case by case basis. The annual salary range for this full-time position is $103,550—$194,200 USD Benefits Our full benefits & perks are explained in our handbook at remote.com/r/benefits. As a global company, each country works differently, but some benefits/perks are for all Remoters: work from anywhere flexible paid time off flexible working hours (we are async) 16 weeks paid parental leave mental health support services stock options learning budget home office budget & IT equipment budget for local in-person social events or co-working spaces How you’ll plan your day (and life) We work async at Remote which means you can plan your schedule around your life (and not around meetings). Read more at remote.com/async. You will be empowered to take ownership and be proactive. When in doubt you will default to action instead of waiting. Your life-work balance is important and you will be encouraged to put yourself and your family first, and fit work around your needs. If that sounds like something you want, apply now! How to apply Please fill out the form below and upload your CV with a PDF format. We kindly ask you to submit your application and CV in English, as this is the standardised language we use here at Remote. If you don’t have an up to date CV but you are still interested in talking to us, please feel free to add a copy of your LinkedIn profile instead. Not only do we encourage folks from all ethnic groups, genders, sexuality, age, abilities, disability status and any other under-represented group to apply, but we prioritize a sense of belonging. We have 4 ERGs (Women, Disability, Queer, Minorities in Tech) who meet regularly with the People team. During your interviews and beyond, we ask & encourage anybody who needs an accommodation to request one from their recruiter. We will ask you to voluntarily tell us your pronouns at interview stage, and you will have the option to answer our anonymous demographic questionnaire when you apply below. As an equal employment opportunity employer it’s important to us that our workforce reflects people of all backgrounds, identities, and experiences and this data will help us to stay accountable. We thank you for providing this data, if you chose to. At Remote, we embrace AI as a valuable tool while prioritizing human creativity and authenticity. We look forward to meeting candidates who balance innovation with genuine expertise and experience. To learn more about Remote's AI guidelines check see here. Please note we accept applications on an ongoing basis.", "summaryDescription" : "Senior Manager, GTM Operational Excellence at Remote", "postedDate" : "2026-06-16T03:17:21.287", "createdAt" : "2026-06-16T03:17:21.287", "lastUpdated" : "2026-06-16T11:55:18.570", "ingestTimestamp" : "2026-06-16T03:17:21.287", "mongoId" : "6a309d64f292fd229c1030e0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a309d64f292fd229c1030df", "title" : "Senior Manager, GTM Operational Excellence", "company" : "Remote", "salary" : { "min" : 6500000.0, "max" : 1.05E7, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Manager in SaaS, adjusted for remote EMEA location and manager seniority." }, "location" : "Remote-EMEA", "locations" : [ "Remote-EMEA" ], "timestamp" : "2026-06-16T15:36:40.123", "fingerprint" : "5b1ccfd55400dbbb8e4bdc53da82837a4b8eab3a5e263840a45da1e13bf3c2ef", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/remotecom/jobs/7771355003", "externalId" : "7771355003", "industryFunction" : { }, "structuredLocations" : [ { "continent" : "eu", "workMode" : "remote" }, { "continent" : "af", "workMode" : "remote" }, { "continent" : "as", "workMode" : "remote" } ], "locationText" : "", "experienceMinYears" : 2, "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Remote Remote is solving modern organizations’ biggest challenge – navigating global employment compliantly with ease. We make it possible for businesses of all sizes to recruit, pay, and manage international teams. With our core values at heart and future focused work culture, our team works tirelessly on ambitious problems, asynchronously, around the world. You can find Remoters working from 6 different continents (Antarctica left to go!) and all of our positions are fully remote. With Innovation as one of the core values, we have built Automation and AI capabilities into the requirements for every role. We encourage every member of the Remote team to bring their talents, experiences and culture to the table to help us build the best-in-class HR platform. If you are energetic, curious, motivated and ambitious, be part of our world. Apply now and define the future of work! What this job can offer you As the Senior Manager, GTM Operational Excellence, you will architect and lead the future of how our Go-To-Market (GTM) organization operates. In this role, you aren't just managing processes—you are redefining them. At Remote, AI handles our operational floor (ticket resolution, knowledge retrieval, routine fixes). Your mission is to lead a high-performing team focused on the operational ceiling: identifying root causes of friction, designing enterprise-grade systemic fixes, and partnering deeply with executive stakeholders across RevOps, Systems, Data, and Enablement to drive behavioral changes that scale. You will have a seat at the table in shaping our AI-integrated operations strategy. What you bring Experience: Deep experience in BizOps, Strategy & Operations, or RevOps within a fast-growing SaaS environment, with at least 2–3 years of experience successfully managing and scaling high-performing teams. Scale Mindset: A proven track record of building, scaling, and maturing GTM systems and processes from mid-stage growth through enterprise scale. Technical Acumen: Deep working knowledge of Salesforce and complex GTM tech stacks (e.g., Enterprise CPQ, automated lead routing, complex compensation tooling). AI & Automation Fluent: A strong builder's mindset with hands-on experience leveraging AI tools, LLMs, and automation workflows to optimize business operations. You view AI as a core operational lever, not a buzzword. Leadership Persona: You operate with an executive-level \"the buck stops here\" mentality. You are comfortable navigating ambiguity, driving alignment across matrixed organizations, and taking full accountability for global outcomes. Communication: Exceptional written and verbal English communication skills, with a proven ability to distill complex operational challenges into clear, actionable executive narratives. Remote Work: Prior experience working in a globally distributed, asynchronous environment is a strong plus. Key Responsibilities Strategic Leadership & Vision Operational Roadmap: Define and execute the multi-quarter strategy and vision for GTM Operational Excellence, aligning it with Remote’s overarching growth and revenue goals. Team Leadership: Hire, develop, and lead a high-performing team of operations managers and analysts. Act as a mentor and coach, fostering a culture of extreme ownership and continuous improvement. Executive Stakeholder Management: Serve as the primary strategic partner to VP and C-level leaders across GTM, Systems, Product, and Finance to align operational initiatives with business priorities. AI & Systems Transformation AI-Driven Architecture: Oversee the strategy for Remote’s AI ticketing layer, automated knowledge bases, and AI agent tuning. Ensure our AI tech stack is optimized to maximize deflection rates and streamline GTM workflows. Systemic Problem Solving: Move beyond symptom management. Lead deep root-cause analyses on complex enterprise-level operational issues and collaborate with Systems/Engineering teams to ship scalable, permanent fixes. Incident Command & Post-Mortems: Own the post-mortem process for major operational incidents, translating systemic vulnerabilities into robust, future-proof infrastructure improvements. Enterprise Change Management & Governance Global Change Frameworks: Establish and mature Remote’s global change management framework. Ensure high adoption rates for new GTM programs through comprehensive communication strategies, enablement alignment, and executive buy-in. Metrics & Business Impact: Own the KPIs that define operational health. Track, analyze, and present executive-level reports on core metrics including ticket volume reduction, AI deflection rates, cost-to-serve, mean time to resolution (MTTR), and change adoption velocity. Practicals You'll report to: Director, Sales Operations Team: RevOps - Sales Operations Location: For this position we welcome everyone to apply, but we will prioritise applications from the EMEA as we encourage our teams to diversify Start date: As soon as possible Application process Roughly 6 hours across 4 weeks Interview with recruiter Interview with Director, Sales Operations Interview with a cross-functional partner (async) RevOps case study Case study presentation to SVP, RevOps & Finance and Director, Sales Operations Prior employment verification check Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries. At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce. We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change. At Remote, we foster internal mobility as a key element of our culture of employee growth and development, supported by a compensation philosophy that guarantees pay equity and fairness. Therefore, all compensation changes associated with an internal move will be reviewed by the Total Rewards & People Enablement team on a case by case basis. The annual salary range for this full-time position is $103,550—$194,200 USD Benefits Our full benefits & perks are explained in our handbook at remote.com/r/benefits. As a global company, each country works differently, but some benefits/perks are for all Remoters: work from anywhere flexible paid time off flexible working hours (we are async) 16 weeks paid parental leave mental health support services stock options learning budget home office budget & IT equipment budget for local in-person social events or co-working spaces How you’ll plan your day (and life) We work async at Remote which means you can plan your schedule around your life (and not around meetings). Read more at remote.com/async. You will be empowered to take ownership and be proactive. When in doubt you will default to action instead of waiting. Your life-work balance is important and you will be encouraged to put yourself and your family first, and fit work around your needs. If that sounds like something you want, apply now! How to apply Please fill out the form below and upload your CV with a PDF format. We kindly ask you to submit your application and CV in English, as this is the standardised language we use here at Remote. If you don’t have an up to date CV but you are still interested in talking to us, please feel free to add a copy of your LinkedIn profile instead. Not only do we encourage folks from all ethnic groups, genders, sexuality, age, abilities, disability status and any other under-represented group to apply, but we prioritize a sense of belonging. We have 4 ERGs (Women, Disability, Queer, Minorities in Tech) who meet regularly with the People team. During your interviews and beyond, we ask & encourage anybody who needs an accommodation to request one from their recruiter. We will ask you to voluntarily tell us your pronouns at interview stage, and you will have the option to answer our anonymous demographic questionnaire when you apply below. As an equal employment opportunity employer it’s important to us that our workforce reflects people of all backgrounds, identities, and experiences and this data will help us to stay accountable. We thank you for providing this data, if you chose to. At Remote, we embrace AI as a valuable tool while prioritizing human creativity and authenticity. We look forward to meeting candidates who balance innovation with genuine expertise and experience. To learn more about Remote's AI guidelines check see here. Please note we accept applications on an ongoing basis.", "summaryDescription" : "Senior Manager, GTM Operational Excellence at Remote", "postedDate" : "2026-06-16T03:16:32.591", "createdAt" : "2026-06-16T03:16:32.591", "lastUpdated" : "2026-06-16T15:36:40.123", "ingestTimestamp" : "2026-06-16T03:16:32.591", "mongoId" : "6a309d64f292fd229c1030df", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "693072a270f0b99d58ffb5a9", "title" : "Operational Excellence Manager", "company" : "Amazon Commercial Services Pty Ltd", "industry" : "Supply Chain/Transportation Management, Fulfillment Center, Logistics", "salary" : { "min" : 155000.0, "max" : 225000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Logistics in Sydney, Australia, adjusted for company size and industry." }, "location" : "Ravenhall, Victoria, AUS", "locations" : [ "Ravenhall, Victoria, AUS" ], "timestamp" : "2026-06-15T02:05:46.157", "fingerprint" : "590fc563effabcf24a22f5233ba0fd3496e89e098409384e9cc0175e140eba3f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136354/apply", "externalId" : "56a053af-d76a-4f06-8f61-4783c8a584c9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sydney", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-33.8698439,151.2082848" } ], "locationText" : "Sydney, New South Wales, Australia", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, VBA", "professionalSkills" : [ "Process excellence", "Change management", "Data analysis", "Performance indicators", "Process improvement", "Network standardization", "Best practice sharing", "Order execution" ], "hardSkillsList" : [ "Data-driven decision making", "Process standardization", "Performance monitoring", "Action planning", "Technical configurations", "Reporting", "Productivity boosts" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data-driven decision making", "level" : "intermediate" }, { "name" : "Process standardization", "level" : "intermediate" }, { "name" : "Performance monitoring", "level" : "intermediate" }, { "name" : "Action planning", "level" : "intermediate" }, { "name" : "Technical configurations", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "Productivity boosts", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Process improvement, Operational metrics, Continuous improvement, Stakeholder management", "majorSkillsList" : [ "Process improvement", "Operational metrics", "Continuous improvement", "Stakeholder management" ], "coreResponsibilities" : "Drive process excellence, Contribute to optimisation, Provide knowledge and tools, Solve complex problems, Develop deep knowledge, Create communication plans, Provide visibility, Enable process alignment, Work on change processes, Contribute to network standardization, Share best practices, Monitor logistics success, Monitor delivery success, Set up action plans, Execute action plans, Drive current performance, Contribute to audit initiatives, Support action planning, Contribute to deployment, Support process improvements, Support continuous piloting, Support benchmarking initiatives, Ensure management understanding, Train in technical configurations, Drive reporting, Drive productivity boosts, Manage day to day, Provide leadership, Manage external agency relationships, Manage agency performance", "teamCollaboration" : "Cross-functional teams; Station management; Delivery station stakeholders; Operations Supervisors; Operations Assistants; Delivery Service Providers; External agencies", "domainKnowledge" : "Last Mile Delivery; Delivery Station Operations", "domainList" : [ "last-mile-delivery", "delivery-station-operations" ], "domainSpecificKnowledge" : [ "Last Mile Delivery", "Delivery Station Operations" ], "toolProficiency" : [ "Microsoft Excel", "SQL", "Access" ], "communicationSkills" : "Effective communication plans", "problemSolvingSkills" : "Root cause analysis; Data-driven decision making", "specialRequirements" : "Travel within Australia, Non-traditional shift patterns, Nights and weekends", "outcomesObjectives" : "Positively influence customer satisfaction", "qualificationsBasic" : "Bachelor's degree or equivalent, 3+ years process improvement initiatives, 1+ years cross functional experience, Advanced Microsoft Excel, Intermediate SQL", "qualificationsPreferred" : "Lean or Six Sigma experience, Experience with data analysis tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "An exciting new role has become available for a Operational Excellence Manager to join the ACES (Amazon Customer Excellence Systems) team. Reporting to the Regional ACES Manager, you will drive process excellence within our Amazon Last Mile Delivery business. You will contribute to the optimisation of our Delivery Station operations, providing teams with knowledge and tools to improve performance. This is a highly collaborative role where you will work to solve complex problems with simple and practical solutions by developing a deep knowledge of the operation processes. You will creating effective communication plans to provide visibility to all impacted teams to enable overall process alignment. Please note this role will be based in a delivery station (Sydney, NSW) and will own transport to the delivery station and it will require travel within Australia. You will need to be comfortable working across non-traditional shift patterns which include nights and weekends. You will have experience in a similar role in Continuous Improvement. Your ability to influence through change, while using data to drive decisions, will ensure your success in this role. Key job responsibilities As firsthand contact for station management regarding process improvements and benchmarking, you will work on effective change processes and contribute to network standardization via best practice sharing. You are in charge of monitoring the logistics and delivery success through set in station and on road performance indicators. You will set up actions plans and execute them to drive current performance to benchmark rates. In this position, you are a key driver for successful order execution thus positively influence our customer satisfaction. - Contribute to audit initiatives and support results-driven action planning - Contribute to deployment of Process Standard implementations and upgrades within the delivery station partnering with station management and several stakeholders - Support development and continuous piloting of process improvements and ongoing benchmarking initiatives - Ensure station management is understanding benchmark rates and is trained in technical configurations to drive accurate reporting and productivity boosts - During peak time, you will have the responsibility for the day to day management of a Delivery Station, providing leadership to Operations Supervisors, Operations Assistants and Delivery Service Providers, managing external agency relationships and performance. Basic Qualifications: - Bachelor's degree or equivalent - 3+ years of defining and implementing process improvement initiatives using data and metrics experience - 1+ years of working cross functionally with tech and non-tech teams experience - Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc. - Knowledge of SQL at an intermediate level, including: compile queries, subqueries, aggregation/grouping, data modification, etc. Preferred Qualifications: - Experience with Lean or Six Sigma analytical techniques - Experience with tools/systems to analyze data including Excel, Access, SQL or other data management systems Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Operational Excellence Manager at Amazon Commercial Services Pty Ltd. Skills: Process improvement, Operational metrics, Continuous improvement, Stakeholder management. Drive process excellence. Contribute to optimisation", "postedDate" : "2026-06-13T00:24:18.369", "createdAt" : "2026-06-13T00:24:18.369", "lastUpdated" : "2026-06-15T02:05:46.157", "ingestTimestamp" : "2026-06-13T00:24:18.369", "mongoId" : "693072a270f0b99d58ffb5a9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136354/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data-driven decision making", "Process standardization", "Performance monitoring", "Action planning", "Technical configurations", "Reporting", "Productivity boosts", "Leadership", "Process improvement", "Operational metrics", "Continuous improvement", "Stakeholder management", "Process excellence", "Change management", "Data analysis", "Performance indicators", "Network standardization", "Best practice sharing", "Order execution", "Last Mile Delivery", "Delivery Station Operations", "Microsoft Excel", "SQL", "Access" ], "skillCount" : 24, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics" }, { "id" : "6a2ce87874d8ee00a0a6acd0", "title" : "Data Infrastructure & Analytics Specialist", "company" : "CertifyOS", "industry" : "Data", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Infrastructure & Analytics Specialist in Pune, India, adjusted for mid-seniority level and the healthcare industry." }, "location" : "Pune, India", "locations" : [ "Pune, India", "Bengaluru, India" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T04:51:45.055", "fingerprint" : "7af5d7b4b0a6ac728a622a5045be8012a101bbc98b30e04f5f6d2f48a12749c2", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/certifyos/ecd970e2-8c1d-4d30-9dee-000cd2e92e8f/application", "externalId" : "ecd970e2-8c1d-4d30-9dee-000cd2e92e8f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pune", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Pune, India", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, Vertex AI, Azure ML", "professionalSkills" : [ "Data engineering", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data warehousing", "ETL processes", "Data pipelines", "Model deployment", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data infrastructure, Analytics engineering, Machine learning", "majorSkillsList" : [ "Data infrastructure", "Analytics engineering", "Machine learning" ], "coreResponsibilities" : "Design data infrastructure, Build data pipelines, Develop data models, Implement ML models, Create BI dashboards, Analyze data, Ensure data quality, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Product teams; Engineering teams", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "qualificationsBasic" : "5+ years of experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, PhD preferred", "remoteFriendly" : false, "rawDescription" : "About CertifyOS CertifyOS is building the data infrastructure that powers modern healthcare. Today, healthcare organizations rely on fragmented and outdated provider data. This creates unnecessary administrative work, regulatory risk, and higher costs across the system. We’re solving that problem. Our API-first platform automates provider licensing, enrollment, credentialing, and network monitoring by connecting directly to hundreds of primary data sources. We help healthcare organizations maintain accurate, compliant, and reliable provider networks at scale. Our vision is simple: One API. One provider ID. Frictionless provider data. We’re backed by leading investors and built by a team with deep experience in provider data systems. At CertifyOS, we value authenticity, accountability, collaboration, results, and openness to feedback. We’re building a high-ownership team focused on solving real infrastructure problems that impact millions of patients. About the role: We are looking for a highly skilled Data Infrastructure & Analytics to own and scale our internal data ecosystem. This role sits at the intersection of data engineering and analytics, with responsibility for building robust data pipelines, enabling reporting across the organization, and guiding dashboard development across multiple product lines. You will play a critical role in shaping how data is collected, structured, and consumed—driving impact in a deeply data-driven organization where data is central to every decision What you’ll do (Job responsibilities): Data Infrastructure & Engineering - Design, build, and maintain scalable internal data infrastructure - Develop and manage ETL/ELT pipelines to move data from systems like Firestore and Spanner into BigQuery - Ensure data is properly structured, modeled, and optimized for analytics and reporting - Maintain reliability, performance, and data quality across pipelines Reporting & Data Delivery - Own internal and external reporting systems across the organization - Build and maintain automated reporting workflows (e.g., exports, scheduled jobs via Airflow) - Deliver data to stakeholders through dashboards, reports, and automated data pipelines Dash-boarding & Analytics Enablement - Build and maintain dashboards using tools such as Looker, Tableau, Omni, Superset, or similar platforms - Define best practices and guide analysts on dashboard design, performance, and scalability - Support new and existing product lines with analytics and reporting needs - Partner with cross-functional teams to translate business requirements into data solutions Leadership & Impact - Act as a technical leader for data infrastructure and analytics initiatives - Drive data strategy and influence how data is used across the company - Mentor analysts and support their development in dashboarding and data best practices Who you are (Job requirements): - Minimum 4 years of strong experience in data engineering and analytics roles - Hands-on experience with GCP (BigQuery, Firestore, Spanner) - Hands-on experience with Python and SQL - Experience building and maintaining ETL/ELT pipelines - Proficiency with workflow orchestration tools like Airflow - Experience with dashboarding tools (Looker, Tableau, Superset, Omni, etc.) - Familiarity with GitHub and modern development workflows - Experience working with both structured and unstructured data - Comfort using modern AI-assisted coding tools (e.g., Cursor, Claude) - Strong problem-solving skills and ability to work across teams - Flexibility working with US timezones. Benefits of Working at Certify At Certify, we’re building with intention and taking care of the people doing the work. Your well-being matters to us. We provide 100% coverage of health, dental, and vision insurance premiums for employees. Our US-based team benefits from unlimited PTO, with at least two weeks off each year to recharge. In India, employees are supported with health insurance, statutory leave benefits, and additional wellness (menstrual) leave for women. We are an equal opportunity employer committed to building an inclusive environment where everyone feels valued and empowered to do their best work, and we welcome applicants from all backgrounds and experiences. If you require reasonable accommodations during the application process, please contact recruiting@certifyos.com. We are also committed to pay transparency and foster an open culture where compensation conversations are encouraged and respected.", "summaryDescription" : "Data Infrastructure & Analytics Specialist at CertifyOS. Skills: Data infrastructure, Analytics engineering, Machine learning. Design data infrastructure. Build data pipelines", "createdAt" : "2026-06-14T18:32:33.739", "lastUpdated" : "2026-06-16T04:51:45.055", "ingestTimestamp" : "2026-06-14T18:32:33.739", "mongoId" : "6a2ce87874d8ee00a0a6acd0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data warehousing", "ETL processes", "Data pipelines", "Model deployment", "A/B testing", "Causal inference", "Data infrastructure", "Analytics engineering", "Machine learning", "Data engineering", "Data modeling", "Statistical analysis", "Business intelligence", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3076eff292fd229c020347", "title" : "OPERATIONS ANALYST III - OPERATIONAL EXCELLENCE", "company" : "Inter Carreiras", "industry" : "FinTech", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for an Operations Analyst III in FinTech in Belo Horizonte, Brazil, adjusted for mid-seniority and full-time employment." }, "location" : "BELO HORIZONTE", "locations" : [ "BELO HORIZONTE" ], "timestamp" : "2026-06-16T12:07:57.697", "fingerprint" : "e1516cb71e9dc324f17b795e507fae16145a2a075c2e5d99b43372391edf6170", "source" : "greenhouse", "language" : "pt", "applyUrl" : "https://boards.greenhouse.io/inter/jobs/4705402005?gh_jid=4705402005", "externalId" : "4705402005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Belo Horizonte", "state" : "Minas Gerais", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-19.9227318,-43.9450948" } ], "locationText" : "Belo Horizonte, Minas Gerais, Brazil", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "RPA, Workflows digitais", "professionalSkills" : [ "Process optimization", "Process analysis", "Process implementation", "Performance indicators", "Organizational transformation", "Stakeholder facilitation", "Process documentation", "Process standards" ], "hardSkillsList" : [ "Lean Six Sigma", "PDCA", "GPD", "BPMN", "Fluxogramas", "SIPOC", "DEIP" ], "softSkillsList" : [ "Relacionamento interpessoal" ], "hardSkills" : [ { "name" : "Lean Six Sigma", "level" : "intermediate" }, { "name" : "PDCA", "level" : "intermediate" }, { "name" : "GPD", "level" : "intermediate" }, { "name" : "BPMN", "level" : "intermediate" }, { "name" : "Fluxogramas", "level" : "intermediate" }, { "name" : "SIPOC", "level" : "intermediate" }, { "name" : "DEIP", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Relacionamento interpessoal" } ], "majorSkills" : "Process optimization, Continuous improvement, Lean Six Sigma", "majorSkillsList" : [ "Process optimization", "Continuous improvement", "Lean Six Sigma" ], "coreResponsibilities" : "Otimizar processos organizacionais, Aprimorar processos organizacionais, Garantir processos eficientes, Garantir processos eficazes, Promover melhoria contínua, Gerar valor para organização, Mapear processos existentes, Documentar processos existentes, Analisar processos existentes, Identificar gargalos, Identificar ineficiências, Identificar redundâncias, Identificar oportunidades melhoria, Realizar diagnósticos, Propor soluções otimização processos, Implementar soluções otimização processos, Aplicar metodologias, Automatizar processos, Estabelecer padrões processos, Estabelecer normas processos, Garantir compliance regulamentações, Garantir compliance políticas internas, Criar indicadores desempenho, Monitorar resultados, Atuar agente transformação organizacional, Promover cultura melhoria contínua, Facilitar workshops, Facilitar reuniões stakeholders, Orientar analistas júnior, Orientar analistas pleno, Colaborar com áreas estratégicas, Colaborar com TI", "teamCollaboration" : "Stakeholders; Áreas estratégicas; TI", "domainKnowledge" : "Regulamentações de processo", "domainList" : [ "regulamentacoes-de-processo" ], "domainSpecificKnowledge" : [ "Regulamentações de processo" ], "toolProficiency" : [ "UiPath", "Power Automate" ], "documentationSkills" : "Documentação de processos", "continuousLearning" : "Programas treinamento; Capacitação internos", "problemSolvingSkills" : "Visão sistêmica; Visão transversal", "outcomesObjectives" : "Melhoria de custo; Aumento produtividade; Melhoria experiência cliente; Agilidade nas entregas; Conformidade regulamentações", "qualificationsBasic" : "Ensino superior completo, Experiência acima de 2 anos, Conhecimento metodologias Lean Six Sigma, Bons conhecimentos ferramentas mapeamento processos, Analisar processos visão sistêmica, Perfil influenciador, Raciocínio estruturado", "qualificationsPreferred" : "Inglês intermediário, Ferramentas de RPA, Plataformas BPMS, Ferramentas análise estatística", "rawDescription" : "Conheça o Inter Pioneiros, mudamos o mercado ao lançar o primeiro banco digital do Brasil e seguimos criando tendências com tecnologia de ponta. Evoluímos para um Super App Financeiro Global, com soluções completas e inovação de primeira. Aqui, o trabalho tem propósito: construir oportunidades reais, transformar a vida das pessoas e o mercado financeiro. Esse é o nosso Jeito Inter de Fazer. Se você quer fazer parte dessa mudança e deixar um legado, seu lugar é aqui. Vem ser Sangue Laranja. Get to Know Inter As pioneers, we transformed the market by launching Brazil’s first digital bank and continue to shape the future with cutting-edge technology. We have evolved into a Global Financial Super App, delivering complete solutions and leading innovation. Here, work has purpose: creating real opportunities, transforming people’s lives, and reshaping the financial market. This is the Inter way of making things happen. If you want to be part of this transformation and leave your mark, your place is here. Become Sangue Laranja. Sobre a vaga e missão do cargo: Você fará parte do Núcleo de Excelência Operacional, sendo responsável por otimizar e aprimorar os processos organizacionais, garantindo que sejam eficientes, eficazes e alinhados às estratégias do negócio, promovendo melhoria contínua e gerando valor para a organização, considerando melhoria de custo, aumento da produtividade, melhoria na experiência do cliente, agilidade nas entregas, conformidade com as regulamentações de cada processo. No seu dia a dia, você vai: Mapear, documentar e analisar processos existentes (end-to-end) Identificar gargalos, ineficiências, redundâncias e oportunidades de melhoria Realizar diagnósticos com visão sistêmica e transversal Propor e implementar soluções para otimização de processos Aplicar metodologias como Lean, Six Sigma, BPMN, NEX, dentre outras Automatizar processos quando aplicável (RPA, workflows digitais) Estabelecer padrões, normas e documentação de processos Garantir compliance com regulamentações e políticas internas Criar indicadores de desempenho (KPIs) e monitorar resultados Atuar como agente de transformação organizacional Promover cultura de melhoria contínua Facilitar workshops e reuniões com stakeholders Orientar analistas júnior e pleno Colaborar com áreas estratégicas e de TI O que buscamos Obrigatórios: Ensino superior completo em Administração, Engenharia de Produção, Estatística ou áreas afins. Experiência acima de 2 anos Conhecimento em metodologias Lean Six Sigma, PDCA ou GPD Bons conhecimentos em ferramentas de mapeamento de processos (BPMN, fluxogramas, SIPOC, DEIP) Analisar processos com visão sistêmica e transversal, considerando impactos em múltiplas áreas Relacionamento interpessoal, perfil influenciador. Raciocínio estruturado Desejáveis: Inglês intermediário. Ferramentas de RPA (UiPath, Power Automate) Plataformas BPMS Ferramentas de análise estatística Benefícios Vale-alimentação e Vale-refeição Plano de saúde e odontológico Seguro de vida DayOff de Aniversário Baby On Board e Sala de Amamentação Licença parental estendida Auxílio-creche/babá e/ou auxílio para filhos com deficiência Wellhub e Grupo de Corrida Inter Espaço CARE4U (Belo Horizonte): serviços de autocuidado com valores exclusivos, área de descompressão, jogos e minicampo de golfe Vantagens no nosso SuperApp, como Duo Gourmet Cartão Prime Inter Programas de treinamento e capacitação internos Etapas do Processo Seletivo Triagem de currículos; Screening (abordagem inicial para alinhamento de expectativas sobre a vaga); Assessments; Entrevista com Time de Talent; Teste técnico (quando necessário); Entrevista com a liderança; Proposta de Contratação (Offer);", "summaryDescription" : "OPERATIONS ANALYST III - OPERATIONAL EXCELLENCE at Inter Carreiras. Skills: Process optimization, Continuous improvement, Lean Six Sigma. Otimizar processos organizacionais. Aprimorar processos organizacionais", "postedDate" : "2026-06-16T01:16:02.031", "createdAt" : "2026-06-16T01:16:02.031", "lastUpdated" : "2026-06-16T12:07:57.697", "ingestTimestamp" : "2026-06-16T01:16:02.031", "mongoId" : "6a3076eff292fd229c020347", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Lean Six Sigma", "PDCA", "GPD", "BPMN", "Fluxogramas", "SIPOC", "DEIP", "Relacionamento interpessoal", "Process optimization", "Continuous improvement", "Process analysis", "Process implementation", "Performance indicators", "Organizational transformation", "Stakeholder facilitation", "Process documentation", "Process standards", "Regulamentações de processo", "UiPath", "Power Automate" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c95ac74d8ee00a098db0e", "title" : "Sr Manager Data Analytics, Marketing", "company" : "Fanatics Betting & Gaming", "industry" : "Sports & Fitness", "salary" : { "min" : 160000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T09:52:41.454", "fingerprint" : "4834bdf7196e077b4e681b9894ca6960f634b3b890cce695edf3cbe83a6d9cfa", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fanaticsfbg/jobs/4239983009", "externalId" : "4239983009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data analysis", "Statistical modeling", "Experiment design", "Performance evaluation", "Decision making", "Business intelligence", "Quantitative analysis", "ML framework development" ], "hardSkillsList" : [ "Data analytics", "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Model development" ], "softSkillsList" : [ "Leadership", "Critical thinking" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Critical thinking" } ], "majorSkills" : "Data analytics, Machine learning, Business intelligence, Data engineering", "majorSkillsList" : [ "Data analytics", "Machine learning", "Business intelligence", "Data engineering" ], "coreResponsibilities" : "Monitor performance, Ensure nuances communicated, Partner with Data Science, Partner with Experimentation teams, Design value metrics, Design testing, Evaluate performance, Contribute to development, Iteratively improve acquisition performance, Drive decision making, Create regular insights, Create ad hoc insights, Gather insights metrics, Gather insights activities, Present insights metrics, Present insights activities, Build relationships with stakeholders, Drive acquisition performance, Collaborate with Analysts, Collaborate with Data Scientists, Find solutions to business problems, Remain current on technology, Remain current on trends", "teamCollaboration" : "Digital Acquisition team; Sportsbook team; Casino team; Data teams; Other Analysts; Data Scientists", "domainKnowledge" : "Sports betting; iGaming platform; Online sports betting; Statistical model development; High-growth environments; Betting and gaming industry", "domainList" : [ "sports-betting", "igaming-platform", "online-sports-betting", "statistical-model-development", "high-growth-environments", "betting-and-gaming-industry" ], "domainSpecificKnowledge" : [ "Sports betting", "iGaming platform", "Online sports betting", "Statistical model development", "High-growth environments", "Betting and gaming industry" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Dbt Cloud", "AWS S3", "AWS Glue", "AWS SageMaker", "AWS Athena", "GCP Vertex AI", "Azure Synapse", "Azure ML Studio" ], "communicationSkills" : "Presenting insights; Advisory", "problemSolvingSkills" : "Logical approach; Analytical approach", "qualificationsBasic" : "5+ years experience, SQL proficiency, Required degrees in Statistics, Required degrees in Computer Science, Required degrees in Mathematics", "qualificationsPreferred" : "PhD preferred, Cloud platform certifications", "remoteFriendly" : false, "rawDescription" : "About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U. S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. The Role: We are seeking a Senior Analytics Manager to join the Fanatics Betting monitor and ensure that nuances are communicated effectively. Partner closely with Data Science and Experimentation teams to design value metrics and testing, and evaluate performance. Contribute to the development and iterative improvement of our acquisition performance, using insights to drive and influence decision making. Be a hands-on analyst, creating insights both regular and ad hoc. Gather and present insights metrics and activities to key stakeholders, becoming a trusted source of intelligence and advisory over time. Build strong relationships with internal stakeholders in the Digital Acquisition team, as well as across the Sportsbook, Casino, and Data teams, and become a key voice in driving acquisition performance. Collaboration with other Analysts and Data Scientists to find solutions to business problems. Remain current on technology and trends in data analytics and the sports betting a strong understanding of the considerations required to run these tests. Experience in and a strong understanding of statistical model development. Demonstrated ability to partner closely with stakeholders, earning trust and prioritizing relationship, and to influence senior leadership. Confident with presenting insights to non-technical audiences, seeking to match the analysis to the business context, and making recommendations on further steps. Customer focused; highly outcome-oriented and data-driven; experienced in working in high-growth environments. Logical and analytical approach to problem solving, with strong organizational and skills. Previous experience in the betting and gaming industry is a significant plus. Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $160,000—$200,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.", "summaryDescription" : "Sr Manager Data Analytics, Marketing at Fanatics Betting & Gaming. Skills: Data analytics, Machine learning, Business intelligence, Data engineering. Monitor performance. Ensure nuances communicated", "postedDate" : "2026-06-14T08:37:35.573", "createdAt" : "2026-06-14T08:37:35.573", "lastUpdated" : "2026-06-15T09:52:41.454", "ingestTimestamp" : "2026-06-14T08:37:35.573", "mongoId" : "6a2c95ac74d8ee00a098db0e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analytics", "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Model development", "Leadership", "Critical thinking", "Machine learning", "Business intelligence", "Data engineering", "Data analysis", "Statistical modeling", "Experiment design", "Performance evaluation", "Decision making", "Quantitative analysis", "ML framework development", "Sports betting", "iGaming platform", "Online sports betting", "Statistical model development", "High-growth environments", "Betting and gaming industry", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Dbt Cloud", "AWS S3", "AWS Glue", "AWS SageMaker", "AWS Athena", "GCP Vertex AI", "Azure Synapse", "Azure ML Studio" ], "skillCount" : 42, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307a21f292fd229c03866c", "title" : "Manager, Data Analytics", "company" : "Empower Pharmacy", "industry" : "Pharma", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Manager, Data Analytics in Houston, United States, adjusted for the healthcare industry and manager seniority." }, "location" : "Houston, Texas, United States", "locations" : [ "Houston", "Texas", "United States" ], "timestamp" : "2026-06-16T13:26:43.592", "fingerprint" : "05f21b76f4c8516ae23bcccc23667970a3adf873d1d9a6b9878b1eb579f324ae", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.empowerpharmacy.com/jobs/4282342009?gh_jid=4282342009", "externalId" : "4282342009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "AI", "professionalSkills" : [ "Data governance", "Compliance" ], "hardSkillsList" : [ "Data analytics" ], "softSkillsList" : [ "Customer Focus", "Strategic AI", "Optimizes Work Processes", "Collaborates", "Resourcefulness", "Manages Complexity", "Ensures Accountability", "Situational Adaptability", "Communicates Effectively" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer Focus" }, { "name" : "Strategic AI" }, { "name" : "Optimizes Work Processes" }, { "name" : "Collaborates" }, { "name" : "Resourcefulness" }, { "name" : "Manages Complexity" }, { "name" : "Ensures Accountability" }, { "name" : "Situational Adaptability" }, { "name" : "Communicates Effectively" } ], "coreResponsibilities" : "Leverage AI to drive business innovation, Enhance data analytics capabilities", "domainKnowledge" : "Healthcare; Pharmaceutical manufacturing", "domainList" : [ "healthcare", "pharmaceutical-manufacturing" ], "domainSpecificKnowledge" : [ "Healthcare", "Pharmaceutical manufacturing" ], "specialRequirements" : "Talk and hear, Remain stationary, Use hands and fingers, Move about the office, Stand, walk, reach, Climb or balance, Stoop, kneel, crouch or crawl", "qualificationsBasic" : "5 years of experience in data analytics, 2 years in a leadership position, Experience in a highly regulated industry", "qualificationsPreferred" : "Proven track record of leveraging AI", "remoteFriendly" : false, "rawDescription" : "Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable medication accessible to millions of patients nationwide. As the nation’s most advanced 503A compounding pharmacy and FDA-registered 503B outsourcing facility, we’re redefining what’s possible in personalized medicine and pharmaceutical manufacturing. We’re proud to be recognized as one of Houston’s fastest-growing private companies and ranked #116 in Healthcare Master’s preferred. Minimum of 5 years of experience in data analytics or related roles, with at least 2 years in a leadership position. Proven track record of leveraging AI to drive business innovation and enhance data analytics capabilities. Experience in a highly regulated industry, with a deep understanding of data governance and compliance. Key Competencies: Customer Focus: Builds trust through customer-centric solutions. Strategic AI: Guides responsible AI adoption and adaptation. Optimizes Work Processes: Drives efficiency with continuous improvement. Collaborates: Partners effectively to achieve shared goals. Resourcefulness: Secures and deploys resources efficiently. Manages Complexity: Simplifies and solves complex challenges. Ensures Accountability: Delivers on commitments with integrity. Situational Adaptability: Adjusts approach to shifting conditions. Communicates Effectively: Tailors messages to diverse audiences. Values: People: Empowering people defines who we are. Quality: Excellence in every product, every time. Service: Serving others is our highest purpose. Innovation: Advancing care through technology and discovery. Employee Benefits, Health and Wellness: We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Learn more: https://careers.empowerpharmacy.com/benefits/ Physical Requirements: While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. Employees are regularly required to move about the office and around the corporate campus. The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.", "summaryDescription" : "Manager, Data Analytics at Empower Pharmacy. Leverage AI to drive business innovation. Enhance data analytics capabilities", "postedDate" : "2026-06-16T01:17:33.811", "createdAt" : "2026-06-16T01:17:33.811", "lastUpdated" : "2026-06-16T13:26:43.592", "ingestTimestamp" : "2026-06-16T01:17:33.811", "mongoId" : "6a307a21f292fd229c03866c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analytics", "Customer Focus", "Strategic AI", "Optimizes Work Processes", "Collaborates", "Resourcefulness", "Manages Complexity", "Ensures Accountability", "Situational Adaptability", "Communicates Effectively", "Data governance", "Compliance", "Healthcare", "Pharmaceutical manufacturing" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8d6f74d8ee00a0978f94", "title" : "Data Science Manager, Marketing Analytics", "company" : "Ibotta", "industry" : "Shared Services Job Group", "salary" : { "min" : 158000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hybrid - Denver", "locations" : [ "Hybrid - Denver" ], "timestamp" : "2026-06-15T09:48:30.880", "fingerprint" : "00c736fc5b50714513b91ede802b7d0b0f540a6aeccda92aaf7117468826f905", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/ibotta/557c7b14-68a3-4349-8c59-356975d3711b/application", "externalId" : "557c7b14-68a3-4349-8c59-356975d3711b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Python, Spark, SQL, Databricks, Airflow, Git, GitHub, Tensorflow, Sci-kit learn, Gradient Boosting, Neural Networks", "professionalSkills" : [ "Data analysis", "Pipeline tools", "MLOps", "Statistical modeling", "Personalization models", "Incentive models", "Growth strategy" ], "hardSkillsList" : [ "Data engineering", "Machine learning", "Statistical analysis", "A/B testing", "Causal inference", "MLOps best practices" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "MLOps best practices", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Machine learning, Data analytics, Analytics engineering, Statistical modeling", "majorSkillsList" : [ "Machine learning", "Data analytics", "Analytics engineering", "Statistical modeling" ], "coreResponsibilities" : "Lead data science projects, Gather requirements, Clean complex datasets, Develop technical solutions, Evaluate technical solutions, Productionize technical solutions, Optimize incentive models, Build code repositories, Build packages, Build workflows in Python, Implement MLOps best practices, Establish automated processes, Scale insights, Perform advanced ML, Perform descriptive analyses, Speak with stakeholders, Serve as leader, Bring operational practices, Bring culture-building practices, Research industry trends, Suggest areas of improvement, Handle data securely, Identify phishing attempts, Report security incidents", "teamCollaboration" : "Internal partners; External partners; Marketing leaders; Cross-functional areas; Direct to consumer marketing; B2B marketing", "projectManagementSkills" : [ "Prioritize effectively" ], "domainKnowledge" : "Marketing analytics; Personalization models; Incentive models; Media measurement", "domainList" : [ "marketing-analytics", "personalization-models", "incentive-models", "media-measurement" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Personalization models", "Incentive models", "Media measurement" ], "toolProficiency" : [ "Databricks", "SQL", "Python", "Spark", "Airflow", "Git", "GitHub", "Tensorflow", "Sci-kit learn" ], "communicationSkills" : "Stakeholder communication; Interpersonal skills", "continuousLearning" : "Research industry trends", "innovationCreativity" : "Innovative solutions", "problemSolvingSkills" : "Problem-solving experience", "specialRequirements" : "Live in United States, 3 days in office", "qualificationsBasic" : "5+ years experience, 2+ years management experience, Bachelor's degree, Expert-level data analysis, Expert-level pipeline tools, SQL proficiency, Python proficiency, Spark proficiency, Airflow proficiency, Git/GitHub proficiency, Machine learning expertise, Statistical techniques expertise", "qualificationsPreferred" : "Analytical ability preferred, Problem-solving experience preferred, Marketing/media measurement preferred, PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Ibotta is looking for a Data Science Manager, Marketing Analytics to join our fast-growing team. This position is located in Denver, Colorado, as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States. THE ROLE This is a player/coach role that will lead the data science and analytics engineering functions within the Marketing Analytics team, while driving innovative solutions using machine learning, data analytics, and statistical modeling for internal and external partners. You will work closely with direct to consumer and B2B marketing leaders to define and execute Ibotta’s growth strategy, translating business questions and performance goals into Machine Learning driven personalization models This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States. Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one. WHAT YOU’LL BE DOING - Lead data science projects end-to-end: gathering requirements, cleaning complex datasets, and developing, evaluating, and productionizing innovative technical solutions, while optimizing existing incentive models - Build centralized and extensible code repositories, packages, and workflows in Python. - Implement MLOps best practices and establish automated processes to scale insights across Ibotta. - Flex work between advanced ML capabilities and descriptive analyses to meet the business where it's at. - Confidently speak with internal and external stakeholders about foundational models and project deliverables. - Serve as a leader across the department, bringing operational and culture-building best practices. - Research industry trends to stay abreast of new developments and proactively suggest areas of improvement. - Uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, and the belief that a good idea can come from anywhere. What we’re looking for: - 5+ years of experience in a measurement-driven function with experience working directly with leadership. - 2+ years of management experience with a proven ability to hire and develop talent. - Bachelor’s degree in computer science, data analytics, computer engineering, or a related field. - Expert-level experience with data analysis and pipeline tools, including Databricks, SQL, Python, Spark, Airflow, and Git/GitHub. - Experience hiring, leading, developing, and retaining talent - Deep expertise in machine learning tools (e.g., Tensorflow, sci-kit learn, Gradient Boosting, Neural Networks) and statistical techniques (Causal inference, A/B testing). - Demonstrated analytical ability and problem-solving skills; experience in marketing/media measurement is strongly preferred. - Excellent interpersonal and communication skills, with the ability to collaborate across functional areas. - Curiosity and the capability to prioritize effectively in a fast-paced environment. About Ibotta (\"I bought a...\") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on https://medium.com/building-ibottaMedium.com http://Medium.com. Additional Job Description - This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks and occasional meals. - Base compensation range: $158,000 - $185,000. Total compensation for this role also includes a variable component in addition to base salary. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. - Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. - Applicants must be currently authorized to work in the United States on a full-time basis. - Applicants are accepted until the position is filled. - For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. Recruiting Agency Notice Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees. #LI-Hybrid #BI-Hybrid", "summaryDescription" : "Data Science Manager, Marketing Analytics at Ibotta. Skills: Machine learning, Data analytics, Analytics engineering, Statistical modeling. Lead data science projects. Gather requirements", "createdAt" : "2026-06-14T09:42:29.739", "lastUpdated" : "2026-06-15T09:48:30.880", "ingestTimestamp" : "2026-06-14T09:42:29.739", "mongoId" : "6a2c8d6f74d8ee00a0978f94", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 158000, "salaryAnnualMax" : 185000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data engineering", "Machine learning", "Statistical analysis", "A/B testing", "Causal inference", "MLOps best practices", "Leadership", "Data analytics", "Analytics engineering", "Statistical modeling", "Data analysis", "Pipeline tools", "MLOps", "Personalization models", "Incentive models", "Growth strategy", "Prioritize effectively", "Marketing analytics", "Media measurement", "Databricks", "SQL", "Python", "Spark", "Airflow", "Git", "GitHub", "Tensorflow", "Sci-kit learn" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30578df292fd229cf3b246", "title" : "Director, Data Science (Marketing Analytics)", "company" : "WPP Media", "industry" : "Media", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director, Data Science in London, UK, adjusted for the media industry and company size." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:34:33.119", "fingerprint" : "3a6ba62df525fbf243ac489ac4826d3b9b5e3c96574d118a4c07a07dc922c5c5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/wppmedia/jobs/5256672008", "externalId" : "5256672008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkillsList" : [ "Statistical modeling", "Machine learning", "Data analysis", "Data manipulation", "Data visualization", "ETL processes", "Database management", "Cloud computing", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Data Engineering, Marketing Analytics", "majorSkillsList" : [ "Data Science", "Machine Learning", "Data Engineering", "Marketing Analytics" ], "coreResponsibilities" : "Develop and implement advanced statistical and machine learning, Design and build data pipelines, Create and maintain BI dashboards and reports, Analyze marketing campaign performance, Provide data-driven insights to stakeholders, Collaborate with engineering teams, Ensure data quality and integrity, Stay updated on industry trends", "teamCollaboration" : "Cross-functional teams; Marketing teams; Engineering teams; Stakeholders", "domainKnowledge" : "Marketing analytics; Customer segmentation; Campaign optimization; Attribution modeling; Customer lifetime value", "domainList" : [ "marketing-analytics", "customer-segmentation", "campaign-optimization", "attribution-modeling", "customer-lifetime-value" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Customer segmentation", "Campaign optimization", "Attribution modeling", "Customer lifetime value" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Present insights; Communicate findings", "problemSolvingSkills" : "Analytical problem solving", "qualificationsBasic" : "5+ years of experience in data science or analytics, Proficiency in SQL, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About WPP Media WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.  WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working. For more information, visit wppmedia.com. 2492 - Director, Data Science (Marketing Analytics) - UK Role Summary and Impact We are seeking an exceptional Senior Data Scientist to join our Marketing Science team, serving as both a technical leader and hands-on contributor in building advanced activation solutions that drive superior client performance. This role combines strategic leadership responsibilities with deep technical expertise in econometric modelling and predictive analytics. Responsibilities This is a dynamic and compelling role, and the successful candidate will need to demonstrate an ability to manage multiple projects simultaneously. You will develop a close working relationship with various internal and external teams. The objectives of the role are varied and will adapt to the business objectives as we grow. The following areas are key to the successful management and development of the team: Drive technical excellence and innovation in marketing measurement Build and scale team capabilities that enhance expertise in advanced analytics and marketing analytics methodologies Strengthen stakeholder relationships Establish analytical standards and best practices Foster a culture of continuous learning, collaboration, and excellence within the department Responsibilities Leadership and Team Management: Lead and mentor a team of data scientists and analysts, fostering professional development and technical excellence Establish team priorities, allocate resources effectively, and ensure delivery of high-quality analytical solutions Develop and implement training programs to enhance team capabilities in advanced analytics and marketing analytics Conduct performance reviews, provide regular feedback, and support career progression planning Build a collaborative, innovation-focused team culture that encourages experimentation and learning Stakeholder Management Serve as the primary analytical consultant for senior client stakeholders and internal leadership teams Translate complex analytical insights into actionable business recommendations and strategic guidance Collaborate with client service teams to scope analytical requirements and deliver solutions that meet business objectives Present high-level insights, recommendations, and innovations to senior stakeholders Cultivate strong relationships with agencies, identifying opportunities for expanded collaboration and business growth Address escalated client concerns and ensure consistent delivery of high-quality solutions Technical Excellence & Data Science Design, build, and validate Marketing Mix Models (MMM) using advanced econometric techniques Develop predictive models for campaign performance, customer behaviour, and business outcomes Implement cutting-edge statistical approaches including Bayesian modelling, machine learning, and causal inference Create cross-channel reach and frequency measurement frameworks and attribution models Build automated reporting and monitoring systems for ongoing campaign optimization Oversee the development of innovative data models and analytical frameworks to drive marketing effectiveness Ensure the team stays current with the latest advancements in data science and machine learning relevant to marketing Collaborate with the Marketing Strategists to translate complex data insights into actionable marketing strategies Guide the development of optimisation strategies both independently and in collaboration with WPP Media EMEA team. Innovation & Methodology Development Research and implement new analytical approaches, tools, and methodologies in marketing science Develop proprietary frameworks and best practices for effectiveness measurement and optimization Lead proof-of-concept projects exploring emerging techniques in marketing analytics Establish analytical standards and quality assurance processes across the team Contribute to thought leadership through white papers, industry presentations, and case studies Skills & Experience Advanced expertise in Marketing Mix Modelling (MMM) including media saturation curves, adstock effects, and base vs. incremental decomposition Strong econometrics background with experience in time series analysis, panel data methods, and causal inference Proficiency in predictive modelling using machine learning techniques (regression, tree-based methods, neural networks) Programming expertise in R and/or Python with experience in relevant libraries (e.g., tidyverse, scikit-learn, PyMC3, Stan) Experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, SQL) Knowledge of experimental design and A/B testing methodologies Familiarity with marketing measurement frameworks including attribution, incrementality testing, and media optimization Business & Leadership Skills Exceptional communication skills with ability to present complex analyses to non-technical stakeholders Proven experience managing and developing technical teams Strong project management capabilities with experience handling multiple concurrent initiatives Deep understanding of digital marketing ecosystem and media channels Experience working in agency, consulting, or client services environment preferred Life at WPP Media & Benefits Our passion for shaping the next era of media is powered by our commitment to Be Extraordinary, investing in our employees to inspire transformational creativity. We also Lead Optimistically, firmly believing in and Championing Growth and Development for every individual. This commitment allows WPP Media employees to leverage the extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at the cutting edge of marketing and advertising.  We Create an Open environment built on trust and respect, where everyone feels they belong and has opportunities to progress. This inclusive culture is fostered through a variety of employee resource groups and frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our comprehensive benefits package reflects this commitment, including competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.  WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We believe the best work happens when we're together, fostering creativity, collaboration, and connection in this open and supportive environment. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.  Please note that while our philosophy is the same across WPP, benefits may vary by office/country. Please note this is a UK based role and requires individuals to have the right to work in this location Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide. While we appreciate all applications received, only those candidates selected for an interview will be contacted.  #LI-Promoted Please read our Privacy Notice for more information on how we process the information you provide.", "summaryDescription" : "Director, Data Science (Marketing Analytics) at WPP Media. Skills: Data Science, Machine Learning, Data Engineering, Marketing Analytics. Develop and implement advanced statistical and machine learning. Design and build data pipelines", "postedDate" : "2026-06-15T23:22:36.690", "createdAt" : "2026-06-15T23:22:36.690", "lastUpdated" : "2026-06-16T10:34:33.119", "ingestTimestamp" : "2026-06-15T23:22:36.690", "mongoId" : "6a30578df292fd229cf3b246", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Machine learning", "Data analysis", "Data manipulation", "Data visualization", "ETL processes", "Database management", "Cloud computing", "A/B testing", "Causal inference", "Data Science", "Machine Learning", "Data Engineering", "Marketing Analytics", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Marketing analytics", "Customer segmentation", "Campaign optimization", "Attribution modeling", "Customer lifetime value", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3082bdf292fd229c06e968", "title" : "Internship: Marketing Excellence", "company" : "Avery Dennison", "industry" : "Packaging And Containers", "salary" : { "min" : 550.0, "max" : 550.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Oegstgeest, ZH, Netherlands", "locations" : [ "Oegstgeest", "ZH", "Netherlands" ], "timestamp" : "2026-06-16T11:25:34.153", "fingerprint" : "bb58e11c0d0e2b0236d3d330b6cea29f6fca9dd1e6d183896e23056d48f90b32", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/AveryDennison/744000132160049-internship-marketing-excellence", "externalId" : "744000132160049", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Oegstgeest", "state" : "South Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.1854330,4.4738856" } ], "locationText" : "Oegstgeest, South Holland, Netherlands", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceLevel" : "internship", "majorSkills" : "Brand strategy, Customer acquisition, Campaign management, Growth metrics", "majorSkillsList" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "coreResponsibilities" : "Develop brand strategy, Drive customer acquisition, Manage marketing campaigns, Analyze growth metrics", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "About the role Are you a student interested in translating your skills into a career in marketing excellence? Our team is looking for someone with knowledge, experience, or passion for product and sustainable marketing solutions. This internship is scheduled to start on 15.07.2026 for a duration of 6 months. The role requires a commitment of 5 days per week , with the flexibility to work from home 3 days per week. As Marketing Excellence Intern, you will support our product solution teams with daily activities as well as with various strategic projects. Within this role you will make sure that all the relevant processes linked to our products and solutions are followed and be a first line of support to sales and marketing teams. You will be a member of a resource team consisting of experts in product management and marketing excellence. Key Responsibilities The position is based at our European Headquarters in Oegstgeest with a hybrid work model. * Ownership of projects concerning internal process optimization to enhance overall marketing ecosystem performance. * Creating and facilitating the send out of our internal email marketing communications. * Assist in the development and implementation of sales supporting material such as brochures, sell sheets and newsletters. * Raise new product requests, update product attributes, and/or coordinate product change notifications. * Maintaining and updating the products’ technical information on datasheets. ## Qualifications Required * Currently following a Bachelor's or Master's degree in Marketing, Business, or any related studies in a Dutch university. * Fluent in both written and spoken English. * Proficient in MS office and Google Suite. Skills you need to succeed * Interested in the broad marketing field, with creative and critical thinking. * Proactive with a problem-solving mindset and ability to work well under pressure in international teams. ## Additional Information What we offer We believe in nurturing talent and providing a platform where your ideas matter. When you join us, you can look forward to: * Competitive Compensation: A monthly allowance of €550 (based on full-time hours) * Travel Coverage: Commuting allowance (if applicable). * Professional Growth: Access to specific training programs designed to sharpen your skills throughout your internship * Global Culture: A collaborative, international environment where you are given real responsibility and the space to explore your potential Important Application Details * Language: We only consider applications submitted in English. * Enrollment: You must be currently enrolled at a Dutch university for the entire duration of your internship. * Direct Applicants Only: We do not accept unsolicited referrals or resumes. Please apply directly using your personal email address. Why join Avery Dennison We are a global materials science and digital identification solutions company with locations in over 50 countries, and approximately 35,000 employees worldwide. As a science and innovation company, we believe that diverse teams are stronger teams. We are committed to fostering a culture of curiosity and courage, where you can grow your career with a company that has innovation in its DNA. Founded on creating real-world impact to enable a better future, we strive to provide an open, collaborative culture where diversity of thought is encouraged and respected. Hear from our employees about what it's like working at Avery Dennison. Learn more at [www.averydennison.com](https://www.averydennison.com/). At Avery Dennison, we work with the biggest brands in FMCG, Apparel, Automotive and Pharma industry. Our European Headquarters in the Netherlands, founded in 1955 and since 2014 located in the Leiden Bioscience Park, is a collaborative and dynamic environment that supports all Avery Dennison businesses and employs approximately 500 talented individuals. The location serves as the central hub for European Leadership and other functions that support the wider European manufacturing and distribution network. The location features a state-of-the-art Research and Development Center. Equal Opportunity Employer Avery Dennison is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, or any other protected status. If you are unable to use our online application process due to a disability, please contact us to request an accommodation via Requestaccomodation@eu.averydennison.com. In the EMEA region, we foster an inclusive culture through active Employee Resource Groups (ERGs) like Elevate, Unite, and our Mental Health group. Please visit our DE&I page to learn more about our Diversity, Equity & Inclusion approach. Pay Transparency Statement The hiring base salary range above represents what Avery Dennison reasonably expects to pay for this position as of the date of this posting. Actual salaries will vary within the range, and in some circumstances may be above or below the range, based on various factors including but not limited to a candidate’s relevant skills, experience, education and training, and location, as well as the job scope and complexity, responsibilities, and regular and/or necessary travel required for the position, which may change depending on the candidate pool. Avery Dennison reserves the right to modify this information at any time, subject to applicable law.", "summaryDescription" : "Internship: Marketing Excellence at Avery Dennison. Skills: Brand strategy, Customer acquisition, Campaign management, Growth metrics. Develop brand strategy. Drive customer acquisition", "postedDate" : "2026-06-15T09:54:25.000", "createdAt" : "2026-06-16T01:41:50.188", "lastUpdated" : "2026-06-16T11:25:34.153", "ingestTimestamp" : "2026-06-16T01:41:50.188", "mongoId" : "6a3082bdf292fd229c06e968", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "skillCount" : 4, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a304f85f292fd229cee84bb", "title" : "Internship: Marketing Excellence", "company" : "Avery Dennison", "industry" : "Packaging And Containers", "salary" : { "min" : 550.0, "max" : 550.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Oegstgeest, ZH, Netherlands", "locations" : [ "Oegstgeest", "ZH", "Netherlands" ], "timestamp" : "2026-06-16T04:31:59.309", "fingerprint" : "7939c247f63e6f535052eb949aab523ed9d0dbba56d1058754bd2702b7fec82c", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/AveryDennison/744000132160049-internship-marketing-excellence", "externalId" : "744000132160049", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Oegstgeest", "state" : "South Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.1854330,4.4738856" } ], "locationText" : "Oegstgeest, South Holland, Netherlands", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceLevel" : "internship", "majorSkills" : "Brand strategy, Customer acquisition, Campaign management, Growth metrics", "majorSkillsList" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "coreResponsibilities" : "Develop brand strategy, Drive customer acquisition, Manage marketing campaigns, Analyze growth metrics", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "About the role Are you a student interested in translating your skills into a career in marketing excellence? Our team is looking for someone with knowledge, experience, or passion for product and sustainable marketing solutions. This internship is scheduled to start on 15.07.2026 for a duration of 6 months. The role requires a commitment of 5 days per week , with the flexibility to work from home 3 days per week. As Marketing Excellence Intern, you will support our product solution teams with daily activities as well as with various strategic projects. Within this role you will make sure that all the relevant processes linked to our products and solutions are followed and be a first line of support to sales and marketing teams. You will be a member of a resource team consisting of experts in product management and marketing excellence. Key Responsibilities The position is based at our European Headquarters in Oegstgeest with a hybrid work model. * Ownership of projects concerning internal process optimization to enhance overall marketing ecosystem performance. * Creating and facilitating the send out of our internal email marketing communications. * Assist in the development and implementation of sales supporting material such as brochures, sell sheets and newsletters. * Raise new product requests, update product attributes, and/or coordinate product change notifications. * Maintaining and updating the products’ technical information on datasheets. ## Qualifications Required * Currently following a Bachelor's or Master's degree in Marketing, Business, or any related studies in a Dutch university. * Fluent in both written and spoken English. * Proficient in MS office and Google Suite. Skills you need to succeed * Interested in the broad marketing field, with creative and critical thinking. * Proactive with a problem-solving mindset and ability to work well under pressure in international teams. ## Additional Information What we offer We believe in nurturing talent and providing a platform where your ideas matter. When you join us, you can look forward to: * Competitive Compensation: A monthly allowance of €550 (based on full-time hours) * Travel Coverage: Commuting allowance (if applicable). * Professional Growth: Access to specific training programs designed to sharpen your skills throughout your internship * Global Culture: A collaborative, international environment where you are given real responsibility and the space to explore your potential Important Application Details * Language: We only consider applications submitted in English. * Enrollment: You must be currently enrolled at a Dutch university for the entire duration of your internship. * Direct Applicants Only: We do not accept unsolicited referrals or resumes. Please apply directly using your personal email address. Why join Avery Dennison We are a global materials science and digital identification solutions company with locations in over 50 countries, and approximately 35,000 employees worldwide. As a science and innovation company, we believe that diverse teams are stronger teams. We are committed to fostering a culture of curiosity and courage, where you can grow your career with a company that has innovation in its DNA. Founded on creating real-world impact to enable a better future, we strive to provide an open, collaborative culture where diversity of thought is encouraged and respected. Hear from our employees about what it's like working at Avery Dennison. Learn more at [www.averydennison.com](https://www.averydennison.com/). At Avery Dennison, we work with the biggest brands in FMCG, Apparel, Automotive and Pharma industry. Our European Headquarters in the Netherlands, founded in 1955 and since 2014 located in the Leiden Bioscience Park, is a collaborative and dynamic environment that supports all Avery Dennison businesses and employs approximately 500 talented individuals. The location serves as the central hub for European Leadership and other functions that support the wider European manufacturing and distribution network. The location features a state-of-the-art Research and Development Center. Equal Opportunity Employer Avery Dennison is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, or any other protected status. If you are unable to use our online application process due to a disability, please contact us to request an accommodation via Requestaccomodation@eu.averydennison.com. In the EMEA region, we foster an inclusive culture through active Employee Resource Groups (ERGs) like Elevate, Unite, and our Mental Health group. Please visit our DE&I page to learn more about our Diversity, Equity & Inclusion approach. Pay Transparency Statement The hiring base salary range above represents what Avery Dennison reasonably expects to pay for this position as of the date of this posting. Actual salaries will vary within the range, and in some circumstances may be above or below the range, based on various factors including but not limited to a candidate’s relevant skills, experience, education and training, and location, as well as the job scope and complexity, responsibilities, and regular and/or necessary travel required for the position, which may change depending on the candidate pool. Avery Dennison reserves the right to modify this information at any time, subject to applicable law.", "summaryDescription" : "Internship: Marketing Excellence at Avery Dennison. Skills: Brand strategy, Customer acquisition, Campaign management, Growth metrics. Develop brand strategy. Drive customer acquisition", "postedDate" : "2026-06-15T09:54:25.000", "createdAt" : "2026-06-15T21:37:53.613", "lastUpdated" : "2026-06-16T04:31:59.309", "ingestTimestamp" : "2026-06-15T21:37:53.613", "mongoId" : "6a304f85f292fd229cee84bb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "skillCount" : 4, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "68ed10a970f0b99d58e7b8c7", "title" : "Process Excellence, Manager, External Fulfillment Operational Excellence", "company" : "Amazon Servicos de Varejo do Brasil Ltda.", "industry" : "Project/Program/Product Management--Non-Tech, Program Management, no business category", "salary" : { "min" : 215000.0, "max" : 345000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in E-Commerce in Sao Paulo, Brazil, adjusted for seniority and full-time employment." }, "location" : "Sao Paulo, Sao Paulo, BRA", "locations" : [ "Sao Paulo, Sao Paulo, BRA" ], "timestamp" : "2026-06-15T05:15:21.548", "fingerprint" : "2b386c04d977d4298c062c5efb06e8eb58fec6b3a7e131fdf29e5802960b1bec", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3105352/apply", "externalId" : "39124528-d18a-49df-ac4f-c738fe284854", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sao Paulo", "state" : "Sao Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "Sao Paulo, Sao Paulo, Brazil", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL", "professionalSkills" : [ "Process management", "Operational excellence", "Root cause analysis", "Data-driven decision making", "Process improvement" ], "hardSkillsList" : [ "Lean Manufacturing Principles", "Data mining", "Data management", "Reporting", "SQL queries", "Excel macros", "Excel pivots", "Excel lookups" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Lean Manufacturing Principles", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "SQL queries", "level" : "intermediate" }, { "name" : "Excel macros", "level" : "intermediate" }, { "name" : "Excel pivots", "level" : "intermediate" }, { "name" : "Excel lookups", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Process excellence, Operational efficiency, Seller experience", "majorSkillsList" : [ "Process excellence", "Operational efficiency", "Seller experience" ], "coreResponsibilities" : "Lead seller issue resolution processes, Manage seller issue resolution processes, Conduct root cause analysis, Develop sustainable solutions, Manage ticket resolution processes, Optimize ticket resolution processes, Support Account Managers, Partner with stakeholders, Solve complex issues, Develop process improvements, Implement process improvements, Create tracking mechanisms, Maintain tracking mechanisms, Drive data-driven decisions, Analyze seller pain points, Analyze operational challenges, Ensure communication flow", "teamCollaboration" : "Cross-functional teams; Key stakeholders; Internal teams; External partners", "projectManagementSkills" : [ "Program management", "Project management" ], "domainKnowledge" : "Marketplace ecosystem; Seller operations; Reimbursements; Returns processing; External fulfillment", "domainList" : [ "marketplace-ecosystem", "seller-operations", "reimbursements", "returns-processing", "external-fulfillment" ], "domainSpecificKnowledge" : [ "Marketplace ecosystem", "Seller operations", "Reimbursements", "Returns processing", "External fulfillment" ], "toolProficiency" : [ "Microsoft Excel", "SQL" ], "problemSolvingSkills" : "Problem solving; Root cause analysis; Data-driven decision making", "outcomesObjectives" : "Enhance seller experience; Enhance operational efficiency", "qualificationsBasic" : "Experience in program management, Experience working cross functionally, Experience managing teams", "qualificationsPreferred" : "Experience implementing repeatable processes, Experience driving automation, Experience driving standardization, Experience in data mining, Experience in data management, Experience in reporting, Experience with SQL queries, Knowledge of Microsoft Excel, Experience in Lean Manufacturing Principles, Experience delivering cross functional projects, Experience defining program requirements, Using data and metrics to determine improvements", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "This role will be crucial in managing and optimizing seller experience through operational excellence, focusing on problem resolution, and driving continuous improvement in our marketplace ecosystem. As a Process Excellence Manager, you will be responsible for managing critical aspects of seller operations, including reimbursements, returns processing, and problem solving. You will work closely with multiple teams to ensure seamless seller experience while maintaining Amazon's high standards of operational excellence. This role requires someone who can think strategically while executing tactically, with a strong focus on data-driven decision making and process improvement Key job responsibilities - Lead and manage seller issue resolution processes, including reimbursements, returns, and clawback situations - Conduct thorough root cause analysis on emerging seller issues and develop sustainable solutions Manage and optimize ticket resolution processes while supporting Account Managers with escalated seller cases - Partner with key stakeholders across Operations, Transportation, Seller Support, and Legal to solve complex issues - Develop and implement process improvements to enhance seller experience and operational efficiency - Create and maintain tracking mechanisms for seller issues and resolution metrics - Drive data-driven decisions through analysis of seller pain points and operational challenges - Ensure strong communication flow between internal teams and external partners A day in the life Your typical day involves monitoring and addressing critical seller issues across multiple channels. The day starts reviewing operational dashboards, prioritizing cases that require immediate attention. You'll lead problem-solving sessions with cross-functional teams, coordinate with Account Managers on escalated issues. You'll participate in stakeholder meetings to discuss process improvements, review metrics, and work on root cause analysis. You'll spend time collaborating with the Legal team on complex cases, and ensuring timely communication with both internal teams and external partners. Regular data analysis and reporting on seller experience metrics will be part of your routine to drive continuous improvement initiatives. Basic Qualifications: - Experience in program or project management - Experience working cross functionally with tech and non-tech teams - Experience managing teams Preferred Qualifications: - Experience implementing repeatable processes and driving automation or standardization - Experience in data mining, data management, reporting, and SQL queries - Knowledge of Microsoft Excel (macros, pivots, lookups) at an advanced level - Experience in Lean Manufacturing Principles - Experience delivering cross functional projects experience - Experience defining program requirements and using data and metrics to determine improvements Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Process Excellence, Manager, External Fulfillment Operational Excellence at Amazon Servicos de Varejo do Brasil Ltda.. Skills: Process excellence, Operational efficiency, Seller experience. Lead seller issue resolution processes. Manage seller issue resolution processes", "postedDate" : "2026-06-13T11:08:25.921", "createdAt" : "2026-06-13T11:08:25.921", "lastUpdated" : "2026-06-15T05:15:21.548", "ingestTimestamp" : "2026-06-13T11:08:25.921", "mongoId" : "68ed10a970f0b99d58e7b8c7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3105352/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Lean Manufacturing Principles", "Data mining", "Data management", "Reporting", "SQL queries", "Excel macros", "Excel pivots", "Excel lookups", "Leadership", "Process excellence", "Operational efficiency", "Seller experience", "Process management", "Operational excellence", "Root cause analysis", "Data-driven decision making", "Process improvement", "Program management", "Project management", "Marketplace ecosystem", "Seller operations", "Reimbursements", "Returns processing", "External fulfillment", "Microsoft Excel", "SQL" ], "skillCount" : 26, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69fc49a74c40e2acd1a83415", "title" : "Marketing Analytics Manager", "company" : "Hyundai Capital America", "industry" : "Banking", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Marketing Analytics Manager in Irvine, United States, adjusted for manager seniority and the financial services industry." }, "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "
Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "timestamp" : "2026-06-16T01:10:37.668", "fingerprint" : "c35d7cf58f4ab7b173b8df7adcd895b6d248695c9107c0bcfedc37096b8d1ae2", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=114905", "externalId" : "114905", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 3 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. We Take Care of Our People Along with competitive pay, as an employee of HCA, you are eligible for: · Medical, dental, and vision plans with no-cost and low-cost options · Annual employer HSA contribution · 401(k) matching and immediate vesting · Vehicle purchase and lease discounts, plus monthly vehicle allowances by job level: o Associate / Sr. Associate: $350 o Manager / Sr. Manager: $600 o Director: $800 o Executive Director: $900 o VP or Above: $1,000 · 100% employer-paid life and disability insurance · No-cost health and wellbeing programs, including a gym benefit · Six weeks of paid parental leave · Paid Volunteer Time Off, plus a company donation to a charity of your choice What to Expect The Marketing Analytics Manager is responsible for delivering actionable insights that drive lifecycle marketing effectiveness, personalization, and performance optimization across owned digital channels. This role partners closely with Marketing, Digital, Product, Finance, and OEM stakeholders to translate complex data into actionable insights that improve customer acquisition, retention, and lifetime value. What You Will Do 1. Cross ‑ Platform Marketing Analytics & Insights · Lead and execute end ‑ to ‑ end measurement strategies for digital marketing programs, across Salesforce Marketing Cloud and Adobe Experience Cloud. · Define and manage KPIs, dashboards, and scorecards for lifecycle marketing, including conversion, retention, renewal, and cross ‑ sell. · Analyze campaign performance to identify optimization opportunities and inform ongoing digital marketing strategies. 2. Journey Analytics & Attribution · Analyze end ‑ to ‑ end customer journeys by integrating Adobe behavioral data with Salesforce campaign and journey execution data. · Design and manage attribution models (e.g., multi ‑ touch, data ‑ driven) to assess marketing impact across channels and touchpoints. · Apply advanced analytics techniques (segmentation, cohort analysis, LTV modeling, propensity scoring) to support targeting and personalization strategies. · Align Adobe Analytics data with Salesforce Marketing Cloud reporting to quantify marketing impact and downstream financial outcomes. · Partner with marketing and UX teams to optimize journey design, cadence, messaging, and experience strategy. 3. Data & Marketing Technology Enablement · Partner with experience teams to ensure reliable data pipelines across platforms such as CRM, web analytics, media platforms, and enterprise data warehouses. · Serve as an analytics stakeholder in marketing technology initiatives (e.g., Salesforce, Adobe, CDPs). · Ensure analytics solutions scale across multiple brands, products, and OEM requirements. 4. Cross ‑ Functional & Executive Partnership · Translate complex cross ‑ platform data into clear insights, narratives, and recommendations tailored to executive, marketing, and operational audiences. · Support marketing investment decisions, lifecycle strategy, and digital experience optimization efforts. · Support strategic initiatives such as new product launches, dealer programs, UX enhancements, and digital transformation efforts. · Act as a trusted advisor to marketing leadership on performance trends, risks, and investment decisions. What You Will Bring · Minimum 5-7 years of progressive experience in marketing analytics, digital analytics, or CRM analytics. · Experience with Salesforce and Adobe technology stacks. · Experience with content marketing, email marketing, and SEO marketing. · Automotive or financial services industries preferred. · Bachelor’s degree in Marketing, Analytics, Business, Statistics or related discipline. · Salesforce or Adobe certification(s) a plus. · MBA a plus. · Strong working knowledge of Salesforce Marketing Cloud, including customer data activation, journey performance, segmentation effectiveness, and attribution across channels. · SQL proficiency with the ability to query, join, and analyze large datasets across enterprise data warehouses and marketing platforms. · Exceptional attention to detail and quality. · Ability to work autonomously and in a team environment. · Excellent verbal and written communication, including presentation skills. · Excellent interpersonal skills to successfully collaborate with cross functional departments. · Strong orientation toward results coupled with reputation for integrity, creativity and good judgment · Must have the ability to challenge, when appropriate, existing practices. · Proficient in Microsoft 365 Suite (Word, Excel, PowerPoint, Outlook, Teams, Copilot). Work Environment Employees in this class are subject to extended periods of sitting, standing, and walking, vision to monitor and moderate noise levels. Work is performed in an at home and office environment. The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . United States-California-Irvine", "summaryDescription" : "Marketing Analytics Manager at Hyundai Capital America", "createdAt" : "2026-06-14T19:48:31.205", "lastUpdated" : "2026-06-16T01:10:37.668", "ingestTimestamp" : "2026-06-14T19:48:31.205", "mongoId" : "69fc49a74c40e2acd1a83415", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "69164da870f0b99d586f337b", "title" : "Senior Operational Excellence (OpsEx), Infrastructure Capacity Management", "company" : "Amazon Data Services, Inc.", "industry" : "Project/Program/Product Management--Technical, Tech Infrastructure Prgrm Mgmt, Cloud Computing", "salary" : { "min" : 133800.0, "max" : 231300.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "certifications" : [ "Lean Six Sigma" ], "timestamp" : "2026-06-14T22:40:40.009", "fingerprint" : "9a42819bd340e316cf4f62f89e3d01d5851d1d8215d403bc6b14f49171655759", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3122411/apply", "externalId" : "c722bd6b-5641-416c-aab7-26fc7fe5f4d8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Deep learning, Machine learning, Generative AI", "professionalSkills" : [ "Infrastructure management", "Cloud data solutions", "Project management", "Supply chain operations", "Business growth", "Risk management", "Process improvement", "Systems analysis", "SC architecture" ], "hardSkillsList" : [ "Capacity management", "Process management", "Metrics analysis", "Roadmap design", "Automation", "Risk management", "Supply chain optimization", "Systems analysis", "Modeling tools" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Capacity management", "level" : "intermediate" }, { "name" : "Process management", "level" : "intermediate" }, { "name" : "Metrics analysis", "level" : "intermediate" }, { "name" : "Roadmap design", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "Risk management", "level" : "intermediate" }, { "name" : "Supply chain optimization", "level" : "intermediate" }, { "name" : "Systems analysis", "level" : "intermediate" }, { "name" : "Modeling tools", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Operational Excellence, Capacity Management, Supply Chain", "majorSkillsList" : [ "Operational Excellence", "Capacity Management", "Supply Chain" ], "coreResponsibilities" : "Plan strategic operational excellence, Govern strategic operational excellence, Support operational metric definition, Analyze operational metrics, Perform operational readiness assessments, Assess technical capabilities, Design roadmaps, Implement roadmaps, Own continuous improvement, Own automation, Reduce workflows, Accelerate workflows, Reduce risk, Optimize cloud infrastructure strategies, Collaborate with Program Management, Optimize supply chain operations, Assess capabilities across people, Assess capabilities across process, Assess capabilities across data, Assess capabilities across systems, Assess capabilities across SC architecture", "teamCollaboration" : "Cross-functional teams; Key stakeholders", "projectManagementSkills" : [ "Scope management", "Schedule management", "Budget management", "Quality management", "Risk management", "Critical path management" ], "domainKnowledge" : "Cloud infrastructure; Supply chain", "domainList" : [ "cloud-infrastructure", "supply-chain" ], "domainSpecificKnowledge" : [ "Cloud infrastructure", "Supply chain" ], "communicationSkills" : "Stakeholder communication", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Provide seemingly infinite capacity at the lowest possible cost", "qualificationsBasic" : "Bachelor's degree or Master's degree in supply chain, business, engineering, finance or related technical or quantitative field, 6+ years of technical infrastructure management experience, Experience in designing, building, and/or operating cloud data solutions in a production environment, 6+ years of core project management disciplines including scope, schedule, budget, quality, along with risk and critical path management", "qualificationsPreferred" : "Advanced degree in Engineering or related field, Knowledge of end-to-end process improvement methodologies, Lean Six Sigma or an equivalent OpsEx certification, Familiarity with systems analysis and modeling tools, working knowledge of deep learning, machine learning, generative AI, and statistics, Demonstrated ability to communicate effectively with various stakeholders, Knowledge of Python or another scripting language", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion Are you passionate about shaping the future of cloud computing? Join AWS Infrastructure Services where you'll drive innovative solutions for global supply chain challenges while ensuring millions of customers have reliable access to cloud services. Your strategic vision will help transform how we deliver and scale cloud infrastructure worldwide. Key job responsibilities • Strategic operational excellence planning and governance • Support Operational metric definition, analysis, and bar-raising mechanisms • Operational readiness assessments for scalable deployment • Technical capabilities assessment • Roadmap design and implementation • Continuous improvement and automation ownership to reduce/accelerate workflows and reduce risk • Optimize cloud infrastructure strategies that support business growth, sustainability goals, and global risk management. • Collaborate with Program Management and key stakeholders to optimize supply chain operations using supply chain best practices and SOP’s • Capability assessments across people, process, data, systems, and SC architecture About the team We are the foundation of AWS, responsible for the design, planning, and operation of global infrastructure that powers cloud computing. Our collaborative team includes engineers, supply chain specialists, security experts, and operations professionals working together to support data centers and equipment that enable continuous innovation. We foster an inclusive environment where diverse perspectives drive creative solutions. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - Bachelor's degree, or Master's degree in supply chain, business, engineering, finance or related technical or quantitative field - 6+ years of technical infrastructure management experience. - Experience in designing, building, and/or operating cloud data solutions in a production environment. - 6+ years of core project management disciplines including scope, schedule, budget, quality, along with risk and critical path management. Preferred Qualifications: - Advanced degree in Engineering or related field. - Knowledge of end-to-end process improvement methodologies. - Lean Six Sigma or an equivalent OpsEx certification. - Familiarity with systems analysis and modeling tools. - Strong working knowledge of deep learning, machine learning, generative AI, and statistics. - Demonstrated ability to communicate effectively with various stakeholders. - Knowledge of Python or another scripting language. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $133,800/year in our lowest geographic market up to $231,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior Operational Excellence (OpsEx), Infrastructure Capacity Management at Amazon Data Services, Inc.. Skills: Operational Excellence, Capacity Management, Supply Chain. Plan strategic operational excellence. Govern strategic operational excellence", "postedDate" : "2026-06-12T23:44:56.128", "createdAt" : "2026-06-12T23:44:56.128", "lastUpdated" : "2026-06-14T22:40:40.009", "ingestTimestamp" : "2026-06-12T23:44:56.128", "mongoId" : "69164da870f0b99d586f337b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3122411/apply", "salaryAnnualMin" : 133800, "salaryAnnualMax" : 231300, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Capacity management", "Process management", "Metrics analysis", "Roadmap design", "Automation", "Risk management", "Supply chain optimization", "Systems analysis", "Modeling tools", "Leadership", "Operational Excellence", "Capacity Management", "Supply Chain", "Infrastructure management", "Cloud data solutions", "Project management", "Supply chain operations", "Business growth", "Process improvement", "SC architecture", "Scope management", "Schedule management", "Budget management", "Quality management", "Critical path management", "Cloud infrastructure", "Supply chain", "Lean Six Sigma" ], "skillCount" : 28, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a30588bf292fd229cf42f15", "title" : "Data & Reporting Analyst", "company" : "Bosun", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data & Reporting Analyst in Beaufort, United States, adjusted for the logistics industry and full-time onsite work." }, "location" : "Beaufort, SC", "locations" : [ "Beaufort", "SC" ], "timestamp" : "2026-06-16T06:20:20.926", "fingerprint" : "d36a9afdd959cb4b161a018c6917cbebbb7d0efa95fe3e7a642afe5629e59d4f", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://bosun-25f9d5ec70da.breezy.hr/p/7655bd51a1a3-data-reporting-analyst-sql-power-bi-excel-in-office-mid-level", "externalId" : "7655bd51a1a3", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beaufort", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.3850708,-80.6923169" } ], "locationText" : "Beaufort, South Carolina, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Power BI, Excel", "hardSkillsList" : [ "Data reporting", "Analytics", "System integrations" ], "hardSkills" : [ { "name" : "Data reporting", "level" : "intermediate" }, { "name" : "Analytics", "level" : "intermediate" }, { "name" : "System integrations", "level" : "intermediate" } ], "majorSkills" : "Data reporting, Analytics, System integrations", "majorSkillsList" : [ "Data reporting", "Analytics", "System integrations" ], "coreResponsibilities" : "Support data reporting, Support analytics, Support system integrations, Build dashboards", "toolProficiency" : [ "SQL", "Power BI", "Excel" ], "qualificationsBasic" : "SQL proficiency, Power BI experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Analyst Bosun is partnering with a client to hire a Data & Reporting Analyst to support data reporting, analytics, and system integrations. This position is ideal for a data analyst or business intelligence professional with strong SQL and Power BI experience who enjoys building dashboards", "summaryDescription" : "Data & Reporting Analyst at Bosun. Skills: Data reporting, Analytics, System integrations. Support data reporting. Support analytics", "createdAt" : "2026-06-15T22:12:17.760", "lastUpdated" : "2026-06-16T06:20:20.926", "ingestTimestamp" : "2026-06-15T22:12:17.760", "mongoId" : "6a30588bf292fd229cf42f15", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data reporting", "Analytics", "System integrations", "SQL", "Power BI", "Excel" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca3ba74d8ee00a09ad615", "title" : "Data Analytics Manager", "company" : "Hasbro", "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T10:13:43.590", "fingerprint" : "259771a41afffa415d14f4530898ec10a1175559576952377e5c4e411be76c58", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hasbro/jobs/4249885009", "externalId" : "4249885009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 7, "experienceLevel" : "Manager", "technicalSkills" : "R, Python, SQL", "professionalSkills" : [ "Knowledge of and familiarity with games such as Magic: The Gathering." ], "hardSkillsList" : [ "R", "Python", "SQL" ], "softSkillsList" : [ "Self-directed, attention to detail" ], "hardSkills" : [ { "name" : "R", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Self-directed, attention to detail" } ], "majorSkills" : "Data Analysis, Team Leadership, SQL, R, Python", "majorSkillsList" : [ "Data Analysis, Team Leadership, SQL, R, Python" ], "coreResponsibilities" : "Analyze profitability opportunities related to pricing, inventory, play, and revenue recognition. Build models to explore different business strategies and identify areas of growth. Communicate findings to partners using clear visuals and concise communication. Handle ad-hoc queries from leadership and partner with them to strategize about the business. Lead a team of 3-5 other data analysts.", "teamCollaboration" : "Collaborate with product strategy, sales, finance, business strategy, and economics. Partner with economists and financial analysts. Incorporate stakeholder feedback into analytics. Work with technical teams to evaluate and communicate data needs. Lead a team of 3-5 other data analysts.", "projectManagementSkills" : [ "drive projects to completion", "prioritize stakeholder requests" ], "communicationSkills" : "clear visuals; concise communication; communicate data needs", "documentationSkills" : "document processes", "continuousLearning" : "Identify opportunities for new projects, using existing tools in new ways, using existing data differently, and generally to demonstrating the value of data.", "problemSolvingSkills" : "pricing; inventory; revenue recognition; business strategies; areas of growth", "outcomesObjectives" : "Support the strategy of our worldwide teams making and build your career.", "qualificationsBasic" : "Bachelor's degree in finance, business, data science, economics, or another quantitative field. 7+ years of relevant work experience, including at least 2 years of experience leading a team. Experience using R, python, or similar tools to conduct data analysis. Working knowledge of SQL. Self-directed, ability to drive projects to completion and proactively communicate timelines and document processes. Impeccable attention to detail.", "qualificationsPreferred" : "Graduate degree is a plus.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Wizards of the Coast, we connect people around the world through play and imagination. From our genre-defining games like Magic: The Gathering® and Dungeons & Dragons® to our growing multiverse, we continue to innovate and build new ways to foster friendship and connection. That's where you come in! This role will partner closely with product strategy, sales, finance, business strategy, and economics to support Magic: The Gathering's growth! Through your reporting and insights, you will support the strategy of our worldwide teams making and build your career. What You'll Do: Analyze - Work with business partners to deep dive into profitability opportunities related to pricing, inventory, play, and revenue recognition. Iterate quickly to refine work and meet deadlines. Model - Build models to explore different business strategies and identify areas of growth. Partner with economists and financial analysts to reconcile revenue numbers. Communicate - Explain findings to partners using clear visuals and concise communication. Incorporate stakeholder feedback into analytics so your team's work is usable, useful, and used. Collaborate - Handle ad-hoc queries from leadership and partner with them to strategize about the business. Prioritize stakeholder requests to put limited resources towards high impact tasks. Work with technical teams to evaluate and communicate data needs and ensure the right data is available. Cultivate - Lead a team of 3-5 other data analysts, identifying opportunities for your team to shine and grow. Identify opportunities for new projects, using existing tools in new ways, using existing data differently, and generally to demonstrating the value of data. What You'll Bring: Bachelor's degree in finance, business, data science, economics, or another quantitative field. Graduate degree is a plus. 7+ years of relevant work experience, including at least 2 years of experience leading a team. Experience using R, python, or similar tools to conduct data analysis. Working knowledge of SQL. Self-directed, ability to drive projects to completion and proactively communicate timelines and document processes. Impeccable attention to detail. Knowledge of and familiarity with games such as Magic: The Gathering. We are an Equal Opportunity Employer Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you have a disability and require assistance in this application process and need to request an accommodation, please contact your recruiter or coordinator. #WIZARDS The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $125,900—$188,900 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.", "summaryDescription" : "Data Analytics Manager at Hasbro. Skills: Data Analysis, Team Leadership, SQL, R, Python. Analyze profitability opportunities related to pricing, inventory, play, and revenue recognition. Build models to explore different business strategies and identify areas of growth. Communicate findings to partners using clear visuals and concise communication. Handle ad-hoc queries from leadership and partner with them to strategize about the business. Lead a team of 3-5 other data analysts.", "postedDate" : "2026-06-14T18:44:24.507", "createdAt" : "2026-06-14T18:44:24.507", "lastUpdated" : "2026-06-15T10:13:43.590", "ingestTimestamp" : "2026-06-14T18:44:24.507", "mongoId" : "6a2ca3ba74d8ee00a09ad615", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "R", "Python", "SQL", "Self-directed, attention to detail", "Data Analysis, Team Leadership, SQL, R, Python", "Knowledge of and familiarity with games such as Magic: The Gathering.", "drive projects to completion", "prioritize stakeholder requests" ], "skillCount" : 8, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305640f292fd229cf26530", "title" : "Operational Excellence Program Manager", "company" : "Delivery Hero", "industry" : "Internet", "salary" : { "min" : 1.4E7, "max" : 2.1E7, "currency" : "HUF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Operational Excellence Program Manager in the E-Commerce industry in Budapest, Hungary, adjusted for seniority and company size." }, "location" : "Budapest, HU", "locations" : [ "Budapest", "HU" ], "timestamp" : "2026-06-16T10:47:06.722", "fingerprint" : "ae3cfb15643fc2f5fa5edf0a43168a9558204631877e90d184af8c8c870d12e4", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/DeliveryHero/744000131865822-operational-excellence-program-manager-customer", "externalId" : "744000131865822", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Budapest", "country" : "Hungary", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "47.4813896,19.1457723" } ], "locationText" : "Budapest, Hungary", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Excel, Python", "professionalSkills" : [ "Service transformation", "Operational excellence" ], "hardSkillsList" : [ "Data analysis", "Process optimisation" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Process optimisation", "level" : "intermediate" } ], "majorSkills" : "Program management, Operational efficiency, Customer experience, Vendor experience", "majorSkillsList" : [ "Program management", "Operational efficiency", "Customer experience", "Vendor experience" ], "coreResponsibilities" : "Lead high-impact programs, Drive operational efficiency, Drive customer experience, Drive vendor experience, Drive scalable growth, Plan programs, Execute programs, Monitor programs, Ensure timely delivery, Ensure high-quality delivery, Develop program goals, Develop program milestones, Develop success criteria, Align with business strategy, Collaborate with cross-functional teams, Manage timelines, Manage risks, Manage resources, Ensure program objectives met, Use project management tools, Track progress, Escalate issues, Report on KPIs, Prioritise workstreams, Coordinate dependencies, Provide guidance, Provide feedback, Provide course correction, Monitor feedback, Adjust plans, Ensure continuous progress, Implement new initiatives, Meet defined goals, Go beyond defined goals, Operate in matrix environment, Translate strategy into execution, Lead cross-functional teams, Act as program leader, Provide guidance to teams, Provide guidance to stakeholders, Navigate complex projects, Achieve functional goals, Achieve organisational goals, Track team progress, Track team performance, Ensure successful delivery, Provide structured input, Provide feedback on POC performance, Contribute to capability building, Share best practices, Influence senior stakeholders, Drive consensus, Work with senior leaders, Ensure alignment, Foster collaborative culture, Support local markets, Challenge local markets, Ensure consistent program execution, Track excellence initiatives, Track excellence programs, Use data-driven metrics, Use data-driven analytics, Report on program performance, Identify improvement opportunities, Ensure KPIs align with objectives, Define tracking mechanisms, Monitor progress, Measure program impact, Prepare executive updates, Prepare data-backed recommendations, Prepare decision documents, Identify potential risks, Develop mitigation strategies, Contribute to post-implementation reviews, Contribute to lessons learned, Benchmark practices, Scale best practices, Establish new global models", "teamCollaboration" : "Cross-functional teams; Matrix environment teams; OPEX teams; Local markets; Functional teams; Experience Excellence community", "projectManagementSkills" : [ "Program management methodologies", "Project management tools", "Change management frameworks" ], "domainKnowledge" : "Service delivery; Customer experience; Vendor experience; Rider experience; Operational efficiency; Cost efficiency; Service ecosystem; Global markets; Local nuances", "domainList" : [ "service-delivery", "customer-experience", "vendor-experience", "rider-experience", "operational-efficiency", "cost-efficiency", "service-ecosystem", "global-markets", "local-nuances" ], "domainSpecificKnowledge" : [ "Service delivery", "Customer experience", "Vendor experience", "Rider experience", "Operational efficiency", "Cost efficiency", "Service ecosystem", "Global markets", "Local nuances" ], "toolProficiency" : [ "Tableau", "Power BI" ], "communicationSkills" : "Stakeholder engagement; Executive presentations; Data-backed recommendations; Decision documents", "continuousLearning" : "Capability building; Best practice sharing; LinkedIn Learning access", "problemSolvingSkills" : "Problem-solving; Analytical skills", "outcomesObjectives" : "Optimise operations; Optimise experience; Scale service delivery; Ensure scalable reality; Ensure measurable reality; Ensure sustainable reality; Enhance operational efficiency; Enhance cost efficiency; Improve customer experience; Improve rider experience; Improve vendor experience; Standardise best practices; Support service transformation; Achieve program objectives; Meet defined goals; Go beyond defined goals; Achieve functional goals; Achieve organisational goals; Ensure successful delivery; Measure program impact", "qualificationsBasic" : "6+ years program management, 6+ years operations, 6+ years process optimisation, Experience managing cross-functional teams, Experience delivering complex projects, Familiarity with change management frameworks, Experience developing program management standards, Experience applying program management governance, Ability to analyse data, Use insights to drive decision-making, Use insights to drive process improvement, Experience analysing large datasets, Experience using data visualisation tools, Problem-solving skills, Analytical skills, Excellent communication skills, Ability to engage stakeholders", "qualificationsPreferred" : "Experience in global environments, Experience in multi-market environments", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "A foodora a Delivery Hero Group, a világ vezető kiszállítási platformjának része. Küldetésünk, hogy fantasztikus rendelési élményt nyújtsunk – gyorsan, egyszerűen és egyenesen az ajtódhoz. Világszerte körülbelül 65 országban működünk. A Delivery Hero Group központja Berlinben, Németországban található, és 2017 óta jegyzik a frankfurti tőzsdén, valamint az MDAX részvényindex része. Are you passionate about driving impactful service transformation across global markets? As an Operations Excellence Program Manager, you will be pivotal in executing large-scale programs that optimise operations and experience, and scale service delivery across 17 markets in APAC, Europe, and Turkey. Your mission is to ensure that \"Excellence\" isn't just a goal, but a scalable, measurable, and sustainable reality across our entire service ecosystem. You will work closely with leadership to drive initiatives that enhance operational and cost efficiency, improve the experience of customers, riders, and vendors, standardise best practices while safeguarding local nuances, and support service transformation through structured, data-driven initiatives. This is an exciting opportunity to be part of a high-performing team, contributing directly to the company’s global growth and success. Program Management * Lead high-impact programs that drive operational efficiency, customer experience, vendor experience, and scalable growth by planning, executing, monitoring, and ensuring timely and high-quality delivery. * Develop clear program goals, milestones, and success criteria for assigned POCs, ensuring alignment with broader business strategy. * Collaborate with cross-functional teams to manage timelines, risks, and resources, ensuring program objectives are met on time and within budget. * Use project management tools to track progress, escalate issues, and report on key KPIs to leadership and stakeholders. * Prioritise workstreams, coordinate dependencies, and provide guidance, feedback, and course correction throughout the project lifecycle. * Monitor feedback from stakeholders and team members to adjust plans and ensure continuous progress throughout the change journey. * Implement new initiatives to meet and go beyond defined goals. Project-Based Leadership & Team Enablement * Operate in a matrix environment, translating strategy into execution while leading cross-functional teams through influence rather than formal hierarchy. * Act as a program-level leader for assigned POCs from OPEX, local markets, or functional teams for the duration of initiatives. * Provide guidance and support to teams within OPEX and stakeholders, helping them navigate complex projects and achieve functional and organisational goals. * Assist in tracking team progress and performance to ensure successful delivery of initiatives. * Provide structured input and feedback on POC performance within the context of the project, in collaboration with line managers. * Contribute to capability building and best practice sharing across the Experience Excellence community. Stakeholder Management & Influence * Effectively influence senior stakeholders and drive consensus without direct authority. * Work closely with senior leaders to ensure alignment and foster a collaborative culture of continuous improvement. * Support and challenge local markets to ensure consistent program execution while remaining pragmatic about local realities. * Play a key role in cross-functional programs as a POC of the CX & Service Ops organisation. Performance Tracking, Governance & Reporting * Track the success of excellence initiatives and programs using data-driven metrics and analytics. * Report on program performance, identify improvement opportunities, and ensure KPIs align with business objectives. * Define robust tracking mechanisms to monitor progress and measure program impact. * Prepare executive-ready updates, data-backed recommendations, and decision documents for leadership. * Proactively identify potential risks and develop mitigation strategies. * Contribute to post-implementation reviews and lessons learned. * Benchmark practices across Delivery Hero regions to scale best practices or establish new global models. ## Qualifications Qualifications * 6+ years of experience in program management, operations, or process optimisation, with a focus on experience (customer, rider, vendor), service transformation, or operational excellence. * Strong understanding of program management methodologies and tools, with hands-on experience delivering complex projects. * Exposure to managing cross-functional teams and initiatives, ideally in global or multi-market environments. * Familiarity with change management frameworks and tools. * Experience in developing and applying program management standards and governance. Analytical & Technical Skills * Proven ability to analyse data and use insights to drive decision-making and process improvement. * Experience analysing large datasets using tools such as SQL, Excel, Python, or similar. * Experience using data visualisation tools (e.g. Tableau, Power BI) to report on performance and identify trends. Core Competencies * Strong problem-solving and analytical skills. * Excellent communication skills with the ability to engage stakeholders at all levels. * Demonstrated ability to work collaboratively to achieve shared goals. ## Additional Information Your Benefits * Modern office in Budapest’s Mill Park – easy to reach, even by bike! * International good vibe + strong corporate background = a secure & inspiring place to grow. * From day one: life, accident & health insurance (MetLife). * SZÉP-card & Medicare health package. * foodora PRO & vouchers – tasty meals, even in the home office. * Mental health support & relaxing office massages. * In-house English lessons + LinkedIn Learning access. * Extra days off, AYCM partnership & all tools provided. * Social impact matters: we support 6 charities and you can join in!", "summaryDescription" : "Operational Excellence Program Manager at Delivery Hero. Skills: Program management, Operational efficiency, Customer experience, Vendor experience. Lead high-impact programs. Drive operational efficiency", "postedDate" : "2026-06-12T10:25:23.000", "createdAt" : "2026-06-15T23:33:31.194", "lastUpdated" : "2026-06-16T10:47:06.722", "ingestTimestamp" : "2026-06-15T23:33:31.194", "mongoId" : "6a305640f292fd229cf26530", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Process optimisation", "Program management", "Operational efficiency", "Customer experience", "Vendor experience", "Service transformation", "Operational excellence", "Program management methodologies", "Project management tools", "Change management frameworks", "Service delivery", "Rider experience", "Cost efficiency", "Service ecosystem", "Global markets", "Local nuances", "Tableau", "Power BI" ], "skillCount" : 19, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a541874d8ee00a06017ad", "title" : "Operational Excellence Manager", "company" : "Oldcastle BuildingEnvelope", "salary" : { "min" : 105000.0, "max" : 155000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Manufacturing industry in Calgary, Canada, adjusted for seniority and company size." }, "location" : "Canada", "locations" : [ "Canada" ], "certifications" : [ "Lean Six Sigma Green Belt", "Lean Six Sigma Black Belt" ], "timestamp" : "2026-06-14T20:20:32.786", "fingerprint" : "495480fc6e83a0793885a8ce700d6cf997a9e7fb67a67d0cba4c6eadedef0072", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/oldcastlebuildingenvelope/jobs/4279985009", "externalId" : "4279985009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Calgary", "state" : "Alberta", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "51.0456064,-114.0575410" } ], "locationText" : "Calgary, Alberta, Canada", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Process mapping software", "professionalSkills" : [ "Operational excellence", "Process improvement", "Project management" ], "hardSkillsList" : [ "Lean tools", "Value stream mapping", "Root cause analysis", "Kaizen events" ], "softSkillsList" : [ "Leadership", "Mentoring", "Coaching", "Facilitation" ], "hardSkills" : [ { "name" : "Lean tools", "level" : "intermediate" }, { "name" : "Value stream mapping", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Kaizen events", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Coaching" }, { "name" : "Facilitation" } ], "majorSkills" : "Continuous improvement, Lean, Six Sigma", "majorSkillsList" : [ "Continuous improvement", "Lean", "Six Sigma" ], "coreResponsibilities" : "Lead OpEx team, Mentor OpEx team, Coach OpEx team, Identify waste, Reduce waste, Execute process improvement projects, Facilitate Kaizen events, Facilitate value stream mapping, Facilitate root cause analysis, Facilitate WPO sessions, Forecast improvement outcomes, Communicate progress, Partner with plant management, Align initiatives, Develop training programs, Deliver training programs, Benchmark industry best practices, Integrate best practices, Maintain shop-floor presence, Lead by example", "teamCollaboration" : "Cross-functional teams; Plant management; OpEx support staff", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Lean; Six Sigma; TPS", "domainList" : [ "lean", "six-sigma", "tps" ], "domainSpecificKnowledge" : [ "Lean", "Six Sigma", "TPS" ], "toolProficiency" : [ "Data analysis tools" ], "communicationSkills" : "Communicate progress", "continuousLearning" : "Training programs", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem-solving; Root cause analysis", "outcomesObjectives" : "Deliver measurable outcomes", "qualificationsBasic" : "Lean Six Sigma Green Belt required, 5+ years experience, Bachelor's degree", "qualificationsPreferred" : "Lean Six Sigma Black Belt preferred", "workSiteFlexibility" : "Onsite", "rawDescription" : "Come Join Us! From apartments in New York to hospitals and stadiums in Dallas, libraries at prestigious universities to creating modern retail experiences, our teams contribute architectural glass and building products to projects that shape the way people live, work, heal, learn, and play. At OBE, the work of our employees truly matters. With over 6,500 employees, we operate more than 80 manufacturing and distribution facilities in five countries. You can see some of our favorite projects here. Start your journey with OBE and help us build the future. What You’ll Get to Do As our OpEx Manager, you will be the driving force behind continuous improvement across our operations building a culture where efficiency, quality, and innovation are woven into everyday work. Leveraging Lean (TPS), Six Sigma, and cutting-edge process methodologies, you will lead cross-functional teams to deliver measurable outcomes that matter to our customers, our people, and our business. Key Responsibilities: Lead, mentor, and coach a high-performing OpEx team building the competencies, accountability, and collaborative mindset needed to sustain long-term improvement. Champion a culture of continuous improvement by identifying and systematically reducing waste at every level of the organization. Identify, prioritize, and execute process improvement projects that are directly aligned with our strategic goals. Facilitate Kaizen events, value stream mapping, root cause analysis, WPO sessions, and a full range of Lean tools bringing the right approach to every challenge. Use existing process data to forecast improvement outcomes and communicate progress clearly during monthly OpEx reviews. Partner with plant management and OpEx support staff to keep everyone aligned on initiatives, priorities, and wins. Develop and deliver engaging training programs in Lean, Six Sigma, and CI principles making expertise accessible across the organization. Benchmark industry best practices and integrate them into our internal processes to keep OBE at the forefront. Maintain a strong and visible shop-floor presence leading by example and staying connected to the work. What We Are Looking For Bachelor’s degree in Engineering, Business, Operations Management, or a related field. Lean Six Sigma certification Green Belt required, Black Belt preferred. 5+ years of experience in operational excellence, process improvement, or related roles. Proven track record of leading successful improvement initiatives that delivered measurable results. Strong analytical, problem-solving, and project management capabilities. Excellent communication and facilitation skills you can engage audiences from the shop floor to the boardroom. Proficiency with data analysis tools and process mapping software. What OBE Offers You Benefits that benefit you – industry competitive benefits at the lowest cost to the employee Work-life balance – PTO and holidays, including floating holidays you can choose Compensation that rewards your hard work – A pay-for-performance culture with potential for annual raises and bonuses Training – We will equip you with the knowledge and skills you need to succeed OBE Privacy Policy OBE will not discharge or discriminate against employees or applicants for discussing, disclosing, or inquiring about their own or others' pay.", "summaryDescription" : "Operational Excellence Manager at Oldcastle BuildingEnvelope. Skills: Continuous improvement, Lean, Six Sigma. Lead OpEx team. Mentor OpEx team", "postedDate" : "2026-06-11T19:33:39.135", "createdAt" : "2026-06-11T19:33:39.135", "lastUpdated" : "2026-06-14T20:20:32.786", "ingestTimestamp" : "2026-06-11T19:33:39.135", "mongoId" : "6a2a541874d8ee00a06017ad", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Lean tools", "Value stream mapping", "Root cause analysis", "Kaizen events", "Leadership", "Mentoring", "Coaching", "Facilitation", "Continuous improvement", "Lean", "Six Sigma", "Operational excellence", "Process improvement", "Project management", "TPS", "Lean Six Sigma Green Belt", "Lean Six Sigma Black Belt", "Data analysis tools" ], "skillCount" : 18, "jobCategory" : "operations", "jobSubcategory" : "operations---opex", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c7d1274d8ee00a094ee6c", "title" : "Senior Marketing Analytics Manager - BI & Data Architecture", "company" : "Samsara", "industry" : "SaaS", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Marketing Analytics Manager in Canada, adjusted for the technology industry and remote work in Toronto." }, "location" : "Remote - Toronto", "locations" : [ "Remote - Toronto" ], "timestamp" : "2026-06-15T09:51:53.005", "fingerprint" : "0ce1e4dcf3b12cefe5b6d08f3b1b7530d6bebd5c87a59fb228b7a9c79dc334c6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.samsara.com/company/careers/roles/7917475?gh_jid=7917475", "externalId" : "7917475", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "remote", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, DBT, Databricks, AI", "professionalSkills" : [ "Data architecture", "Business intelligence", "Data engineering", "Semantic models", "Data analysis", "Data modeling", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "ETL pipelines", "Data transformation", "Data modeling", "BI development", "Performance analysis", "Data warehousing" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "ETL pipelines", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "BI development", "level" : "intermediate" }, { "name" : "Performance analysis", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Data Architecture, Business Intelligence, Data Engineering, AI for BI", "majorSkillsList" : [ "Data Architecture", "Business Intelligence", "Data Engineering", "AI for BI" ], "coreResponsibilities" : "Design, build, and maintain robust ETL pipelines, Build 'Gold Layer' tables in Databricks, Develop and document semantic layers, Develop data dictionaries, Develop markdown files designed to train and enable, Develop dashboards and analyses to surface business-critical KPIs, Assess sales and marketing performance, Perform ad-hoc reporting and deep dives, Uncover key insights across programs and initiatives, Inform strategy and decision making, Partner with marketing stakeholders to translate complex business, Create scalable data models, Create analytics-ready datasets, Champion, role model, and embed Samsara’s cultural principles", "teamCollaboration" : "Marketing, Sales, and Data Engineering teams; Marketing stakeholders", "domainKnowledge" : "Connected Operations Cloud; IoT data; Physical operations; Video-Based Safety; Vehicle Telematics; Agentic AI workflows; AI for BI", "domainList" : [ "connected-operations-cloud", "iot-data", "physical-operations", "video-based-safety", "vehicle-telematics", "agentic-ai-workflows", "ai-for-bi" ], "domainSpecificKnowledge" : [ "Connected Operations Cloud", "IoT data", "Physical operations", "Video-Based Safety", "Vehicle Telematics", "Agentic AI workflows", "AI for BI" ], "toolProficiency" : [ "Databricks", "Tableau" ], "documentationSkills" : "Structured documentation", "problemSolvingSkills" : "Analytical and critical thinking skills", "qualificationsBasic" : "Bachelor's in Statistics, Computer Science, Business, Economics or other related analytical fields, 5+ years of relevant analytics, business intelligence, artificial intelligence or data engineering work experience, Expert in SQL, python, DBT and visualization platforms, Hands-on experience working with Databricks (or similar lakehouse architectures) to transform and model large datasets, Experience building data backends, semantic layers, and structured documentation optimized for AI ingestion and agentic workflows, Analytical and critical thinking skills with experience in data analysis", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term. About the role: Are you passionate about building robust data architectures that power next-generation, AI-driven business intelligence? Do you thrive in the intersection of data engineering and analytics, wearing both hats to design scalable backends and deliver actionable insights? We are looking for a Senior Marketing Analytics Manager - Business Intelligence & Data Architecture to join our Marketing Analytics team. In this role, you will work closely with our Marketing, Sales, and Data Engineering teams to build the foundational \"Gold Layers\" and semantic models that enable self-serve reporting and agentic AI workflows. This is a great opportunity for a highly technical analyst who is hands-on with Python, Databricks, and SQL, and is excited about creating the infrastructure that enables AI for BI. If you’re energized by the challenge of bridging the gap between raw data pipelines and advanced analytical outputs, we’d love to hear from you. This is a remote position open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D. C. Metro Area. Relocation assistance will not be provided for this position. You should apply if: You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely. You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment. You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers. You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. In this role, you will: Act as the bridge between Data Engineering and Marketing Analytics, designing, building, and maintaining robust ETL pipelines and \"Gold Layer\" tables in Databricks. Develop and document semantic layers, data dictionaries, and markdown files designed specifically to train and enable AI agents for scalable, self-serve BI. Develop dashboards and analyses to surface business-critical KPIs and assess sales and marketing performance. Perform ad-hoc reporting and deep dives to uncover key insights across programs and initiatives to inform strategy and decision making. Partner with marketing stakeholders to translate complex business requirements into scalable data models and analytics-ready datasets. Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices. Minimum requirements for the role: Bachelor's in Statistics, Computer Science, Business, Economics or other related analytical fields. 5+ years of relevant analytics, business intelligence, artificial intelligence or data engineering work experience. Expert in SQL, python, DBT and visualization platforms (Tableau preferred). Hands-on experience working with Databricks (or similar lakehouse architectures) to transform and model large datasets. Experience building data backends, semantic layers, and structured documentation optimized for AI ingestion and agentic workflows. Strong analytical and critical thinking skills with experience in data analysis. Comfortable leveraging AI tools to accelerate data transformation, analysis, and visualization workflows. Experience supporting Sales, Product or Marketing teams. An ideal candidate also has: Experience building interactive applications using Streamlit or Claude workflows. Experience building web applications Experience working in web analytics Sales and marketing experience including familiarity with MarTech tools. Navigate large, multifaceted datasets to answer hard questions — drawing on the right analytical or statistical approach for each problem. Data Science, machine learning or predictive analytics experience. Actively builds AI fluency relevant to BI and analytics work, including prompt engineering for data tasks, exploring AI-assisted features in tools, and staying current on how AI is reshaping the analytics landscape. Comfort working in an exploratory environment, testing and iterating on new data sources and methodologies. The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below. Annual Base Salary $119,000—$180,000 USD Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here. Flexible Working At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Belonging at Samsara At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Accommodations Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process. Our Commitment to Authenticity We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s Candidate Privacy Notice for more information. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.", "summaryDescription" : "Senior Marketing Analytics Manager - BI & Data Architecture at Samsara. Skills: Data Architecture, Business Intelligence, Data Engineering, AI for BI. Design, build, and maintain robust ETL pipelines. Build 'Gold Layer' tables in Databricks", "postedDate" : "2026-06-14T08:23:59.837", "createdAt" : "2026-06-14T08:23:59.837", "lastUpdated" : "2026-06-15T09:51:53.005", "ingestTimestamp" : "2026-06-14T08:23:59.837", "mongoId" : "6a2c7d1274d8ee00a094ee6c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "ETL pipelines", "Data transformation", "Data modeling", "BI development", "Performance analysis", "Data warehousing", "Critical thinking", "Data Architecture", "Business Intelligence", "Data Engineering", "AI for BI", "Data architecture", "Business intelligence", "Data engineering", "Semantic models", "Data analysis", "Analytics engineering", "Quantitative analysis", "Connected Operations Cloud", "IoT data", "Physical operations", "Video-Based Safety", "Vehicle Telematics", "Agentic AI workflows", "Databricks", "Tableau" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307fa3f292fd229c05b9f4", "title" : "Product Marketing Manager, Networking Infrastructure", "industry" : "Technology", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Product Marketing Manager in Seattle, USA, with adjustments for industry and experience level." }, "location" : "[Seattle, WA, USA, [Seattle, WA, USA], Seattle, null, WA, US]", "locations" : [ "[Seattle, WA, USA, [Seattle, WA, USA], Seattle, null, WA, US]", "[Sunnyvale, CA, USA, [Sunnyvale, CA, USA], Sunnyvale, null, CA, US]" ], "timestamp" : "2026-06-16T13:42:10.611", "fingerprint" : "32550be0206344df0c0d540eee2b8d72e0d12a945d2a9f8caef7b79fb1de8361", "source" : "google", "language" : "en", "externalId" : "96393999777964742", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "experienceLevel" : "Manager", "remoteFriendly" : false, "summaryDescription" : "Product Marketing Manager, Networking Infrastructure", "postedDate" : "2026-06-16T01:50:24.515", "createdAt" : "2026-06-16T01:50:24.515", "lastUpdated" : "2026-06-16T13:42:10.611", "ingestTimestamp" : "2026-06-16T01:50:24.515", "mongoId" : "6a307fa3f292fd229c05b9f4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305b96f292fd229cf5f079", "title" : "Global HR Reporting and Analytics Lead (HR/Workday reporting)", "company" : "Clifford Chance", "industry" : "Legal Services", "salary" : { "min" : 3500000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Global HR Reporting and Analytics role in Delhi, India, adjusted for the legal industry and company size." }, "location" : "Delhi, IN", "locations" : [ "Delhi", "IN" ], "timestamp" : "2026-06-16T10:38:32.861", "fingerprint" : "c8905c3bf7fb478fafef899c77717d331d771cded5c56289145b02ff67298038", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/CliffordChance/744000132165723-global-hr-reporting-and-analytics-lead-hr-workday-reporting-", "externalId" : "744000132165723", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Delhi", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "28.6138954,77.2090057" } ], "locationText" : "Delhi, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Data strategy", "Business analysis", "Data governance", "Process improvement", "Team building", "Talent management", "Employee relations", "Organizational development" ], "hardSkillsList" : [ "Statistical techniques", "Data analysis", "HR analytics", "Data management", "Reporting" ], "softSkillsList" : [ "Leadership", "Negotiation", "Influencing" ], "hardSkills" : [ { "name" : "Statistical techniques", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "HR analytics", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Negotiation" }, { "name" : "Influencing" } ], "majorSkills" : "HR Reporting, Analytics, Workday, Data Strategy", "majorSkillsList" : [ "HR Reporting", "Analytics", "Workday", "Data Strategy" ], "coreResponsibilities" : "Lead People Data, Reporting and Analytics function, Lead data and reporting strategy for Global HR, Translate business requirements into analytical framework, Implement and automate business needs on Workday, Automate business needs on BI tool, Drive analytics maturity through continuous improvement, Improve data quality, Improve data management practices, Ensure compliance with Data Privacy Guidelines, Develop standard reports, Develop ad hoc reports, Develop templates, Develop dashboards, Develop scorecards, Develop metrics, Prepare reports for management, Assist in HR projects, Assist in process improvement initiatives, Drive data management approach, Drive data governance processes, Drive Analytics platform adoption, Partner with global HR colleagues, Understand HR needs, Understand business questions, Determine required analysis, Determine required deliverables, Maintain business relationships with stakeholders, Build relevant analysis, Build relevant interpretation, Build the function through hiring, Sustain high-performance team, Develop team capabilities, Set objectives for team, Define clear roles, Define clear responsibilities, Cultivate accountability environment, Embed firm's code of conduct, Embed firm's values, Ensure succession planning, Create culture of learning, Create culture of teamwork, Create culture of camaraderie, Create culture of mutual support", "teamCollaboration" : "Global functional leads; Regional HR leaders; HRBPs; Global HR Operations Lead; Global HR colleagues", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "People Strategy; HR processes; Talent Strategy; People Data; HR Reporting; HR Analytics; Data Privacy; Data Protection", "domainList" : [ "people-strategy", "hr-processes", "talent-strategy", "people-data", "hr-reporting", "hr-analytics", "data-privacy", "data-protection" ], "domainSpecificKnowledge" : [ "People Strategy", "HR processes", "Talent Strategy", "People Data", "HR Reporting", "HR Analytics", "Data Privacy", "Data Protection" ], "toolProficiency" : [ "Workday", "BI tool" ], "communicationSkills" : "Written communication; Verbal communication; Listening skills", "continuousLearning" : "Formal training; Informal coaching; Mentoring; Skills-based training; Technical training; On the job learning", "problemSolvingSkills" : "Analytical mindset; Creative streak; Good judgement; Prioritisation skills", "qualificationsBasic" : "5+ years HR reporting and analytics experience, Technical knowledge and business awareness", "qualificationsPreferred" : "Experience with Workday and BI tool", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Who we are As a global law firm our work spans jurisdictions, cultures, and languages – and so do our people. Our culture is collaborative and inclusive — where diverse perspectives are recognised and valued. Where performing to your highest ability, unlocks equal access to opportunities to learn, thrive and grow. We combine deep legal expertise and commercial intelligence to grow, transform, protect, and defend our clients' businesses, across every critical moment. We operate in the sectors and regions that matter to our clients. With forward-thinking insights and innovative, tech-enabled solutions that combine deep knowledge of their sectors and markets. You’ll build connections and work with colleagues as one global team. You’ll unlock opportunities for clients, across borders, cultures, legal and commercial disciplines. Join us to work with colleagues as one global team – empowering each other to be exceptional and create advantage for our clients. Our India team is a well-established and integral part of the firm’s global operations, delivering high-value support across a wide spectrum of functions. With over 800 business professionals based in Gurugram and Hyderabad, we’ve been driving operational excellence and innovation for more than 15 years. We contribute to global success in areas such as Information Technology, Finance, Human Resources, Risk & Compliance, Legal Support, Research & Knowledge, Document Production, Virtual Executive Assistance, Programme Management, Client & Market Development, and Continuous Improvement. The role Human Resources management develops and delivers the firm's People and Talent Strategy, designs and delivers the firm's people practices, designs employee and candidate experiences, and advises the firm's leadership on organisational and individual people matters. The HR Reporting and Analytics team provides the quantitative and qualitative data analysis and reporting of patterns, insights, and trends required to help leaders across organization make informed business decisions to build the workplace of the future. Who you will work with As HR Reporting and Analytics Lead, you will collaborate with global functional leads within HR, Regional HR leaders and HRBPs to lead the roadmap of the People Data, Reporting and Analytics function. This role utilizes various systems and data sources to deliver reports and dashboards. What you will be responsible for As HR Reporting and Analytics Lead, you will lead the People Data, Reporting and Analytics function of the organization. This is an important role requiring both technical knowledge and business awareness, providing stimulating opportunities to contribute to the People Strategy and key priorities. What you will do Strategic/Operational Responsibilities * In partnership with Global HR Operations Lead, take forward and lead the data and reporting strategy defined for Global HR. * Translate business requirements into sound and comprehensive analytical framework through appropriate usage of advanced statistical techniques. * Implement and automate business needs on Workday and BI tool for real time HR analytics. * Drive analytics maturity through continuous improvement in data quality data management practices, and standard tools and capabilities. * Ensure compliance with Data Privacy and Protection Guidelines. * Develop standard and ad hoc reports, templates, dashboards, scorecards, and metrics that drive insights focused on business issues and priorities. * Preparation of various Reports to support the Management needs and ensuring timely adherence to deadlines * Assist in various HR projects and continuous process improvement initiatives along with the Global HR Operations Lead. * Drive our data management and governance approach and processes. * Drive Analytics platform's adoption across the HR organisation * Partner with global HR colleagues to understand their needs and business questions to determine the required analysis and deliverables. * Maintain strong business relationships with key stakeholders to understand what is important to leadership and build relevant analysis and interpretation. People Leadership and Team Management Responsibilities * Build the function through hiring the required technical expertise and sustaining the high-performance team. * Develop capabilities of team members through objective setting, defining clear roles & responsibilities, and cultivating an environment of accountability * Embed the firm's code of conduct and values across the team * Ensuring appropriate succession/back-up planning of team members, to avoid breakage in service * Creating and fostering a culture of constant learning, teamwork, camaraderie, and mutual respect * Maintaining low attrition scores, and high employee and customer satisfaction ratings. ## Qualifications Your experience Desired Experience * Bachelor's/Master's degree or equivalent experience in MIS, Statistics, or similar field. * Experience in managing projects for diversified reporting systems. * Strong experience should be around Workday Reporting tools, Data architecture, Data Quality Management and Data visualisation. * Worked on BI/Analytics projects. * Knowledge of Workday Reporting, SQL, Power BI, Excel. * Good to have knowledge of programming, Python, Tableau and other analytical tools. * Knowledge of HR processes and HR technology applications and professional experience in HR or supporting HR analytics. * Excellent data management and analysis skills to assemble, clean and analyze data effectively. * Understand the process of data integration: including workforce data from central systems such as Workday and other HR applications including recruiting and talent technologies. * Eagerness to learn new things and understand the bigger picture. * Curiosity to better understand current processes and continual desire to improve on processes with ability to ask the right questions to improve quality of work. * Maintain a high degree of confidentiality, accuracy along with attention to detail. Communication and Presentation Skills * Excellent written and verbal communication skills, with strong listening skills. * Excellent negotiation and influencing skills. * Demonstrates credibility and influence with senior clients & stakeholders, to increase usage of services. Analytical and Strategic Thinking Skills * Analytical mindset, with a creative streak to identify and work with non-traditional approaches. * Good judgement and prioritisation skills. * Good knowledge of market trends and potential impact on the firm. Leadership, networking and organisational skills * Demonstrated ability of working in a matrixed environment and balance varying priorities. * Working closely with global stakeholders to shape and lead the department against strategic priorities. * Ability to organise support and to delegate effectively, as required. ## Additional Information How we will support you From your first day with us, you will have varied opportunities to continuously grow and development your skills and knowledge. From formal training, informal coaching and mentoring through to skills-based and technical training and on the job learning. Equal opportunities At Clifford Chance, we forge an inclusive culture, where diverse perspectives are recognised and valued. It’s a culture where everyone has equal access to opportunities to thrive and succeed. We are guided by our values-based Code, which sets high standards of conduct and has a principle focused on being inclusive. We comply with the law and regulations in every location where we operate and we are committed to delivering fair and equal access to all applicants and employees irrespective of background. This applies across all aspects of employment from recruitment and selection to development, progression, and day-to-day working life. Our global network of affinity, faith and support groups are open to all. These communities help to create an environment where everyone at the firm can feel they belong and can reach their full potential. Find out more about our inclusive culture [here](https://www.cliffordchance.com/about_us/inclusion-and-diversity.html).", "summaryDescription" : "Global HR Reporting and Analytics Lead (HR/Workday reporting) at Clifford Chance. Skills: HR Reporting, Analytics, Workday, Data Strategy. Lead People Data, Reporting and Analytics function. Lead data and reporting strategy for Global HR", "postedDate" : "2026-06-15T10:34:08.000", "createdAt" : "2026-06-16T00:17:38.008", "lastUpdated" : "2026-06-16T10:38:32.861", "ingestTimestamp" : "2026-06-16T00:17:38.008", "mongoId" : "6a305b96f292fd229cf5f079", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical techniques", "Data analysis", "HR analytics", "Data management", "Reporting", "Leadership", "Negotiation", "Influencing", "HR Reporting", "Analytics", "Workday", "Data Strategy", "Data strategy", "Business analysis", "Data governance", "Process improvement", "Team building", "Talent management", "Employee relations", "Organizational development", "Roadmap planning", "People Strategy", "HR processes", "Talent Strategy", "People Data", "HR Analytics", "Data Privacy", "Data Protection", "BI tool" ], "skillCount" : 29, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c93eb74d8ee00a0989441", "title" : "Staff Marketing Analytics", "company" : "SolarWinds", "industry" : "Technology", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Staff Marketing Analytics role in Austin, TX, adjusted for the technology industry and company size." }, "location" : "Austin Office", "locations" : [ "Austin Office" ], "timestamp" : "2026-06-15T23:02:35.510", "fingerprint" : "8bb02cccaf03748c96e63226413958bfdd8bf78ac3831652d99379a72c690f1e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.solarwinds.com/job-detail/?gh_jid=4572021005&gh_jid=4572021005", "externalId" : "4572021005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Marketing analytics", "Data modeling", "Statistical analysis", "Experiment design", "Data storytelling" ], "hardSkillsList" : [ "Marketing analytics", "SQL", "Data visualization", "A/B testing", "Statistical modeling", "Machine learning" ], "hardSkills" : [ { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" } ], "majorSkills" : "Marketing analytics, Data visualization, Statistical modeling, Machine learning", "majorSkillsList" : [ "Marketing analytics", "Data visualization", "Statistical modeling", "Machine learning" ], "coreResponsibilities" : "Develop and maintain marketing analytics dashboards, Analyze marketing campaign performance, Design and execute A/B tests, Provide insights and recommendations to marketing teams, Collaborate with data engineering to ensure data quality, Build predictive models for customer behavior, Stay updated on industry trends and best practices", "teamCollaboration" : "Marketing teams; Data engineering", "domainKnowledge" : "Marketing analytics; Customer behavior; Campaign performance", "domainList" : [ "marketing-analytics", "customer-behavior", "campaign-performance" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Customer behavior", "Campaign performance" ], "toolProficiency" : [ "SQL", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "communicationSkills" : "Data storytelling; Executive presentations", "documentationSkills" : "Technical documentation", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Root cause analysis; Data-driven decision making", "outcomesObjectives" : "Improve marketing ROI; Optimize campaign spend; Enhance customer segmentation", "qualificationsBasic" : "5+ years of experience in marketing analytics, Proficiency in SQL, Experience with data visualization tools, Experience with A/B testing", "qualificationsPreferred" : "Master's degree preferred, Experience with Python or R, Experience with statistical modeling, Experience with cloud data platforms, Experience with ML frameworks", "rawDescription" : "At SolarWinds, we’re a people-first company. Our purpose is to enrich the lives of the people we serve—including our employees, customers, shareholders, partners, and communities. Join us in our mission to help customers accelerate business transformation with simple, powerful, and secure solutions. The ideal candidate thrives in an innovative, fast-paced environment and is collaborative, accountable, ready, and empathetic. We’re looking for individuals who believe they can accomplish more as a team and create lasting growth for themselves and others. We hire based on attitude, competency, and commitment. Solarians are ready to advance our world-class solutions in a fast-paced environment and accept the challenge to lead with purpose. If you’re looking to build your career with an exceptional team, you’ve come to the right place. Join SolarWinds and grow with us! Role Summary SolarWinds, a leader in IT management software, is seeking a Staff Marketing Analytics professional to join our Marketing Analytics team. This highly visible role partners closely with senior marketing leaders to translate complex data into actionable business strategies that drive growth and optimize marketing performance. The ideal candidate combines deep marketing analytics expertise with strong executive presence, business acumen, and intellectual curiosity. Success in this role requires the ability to influence cross-functional stakeholders, present insights with clarity to leadership audiences, and connect analytical findings to strategic business outcomes. Location: Austin, TX (3 days in office) Relocation assistance is not available for this role. Key Responsibilities Partner with marketing leadership to evaluate weekly and monthly performance against company objectives, identify trends, and recommend actions to improve results. Serve as a strategic thought partner to senior stakeholders by translating data into clear business insights and executive-ready recommendations. Identify critical business data needs and convert them into well-defined requirements for analytics and data engineering teams to develop scalable solutions. Analyze customer behavior and marketing performance across the full funnel by combining data from platforms such as Adobe Analytics, Marketo, Salesforce, and Tableau. Drive continuous improvement of Conversion Rate Optimization (CRO) initiatives through A/B test measurement, experiment analysis, and data-driven recommendations. Conduct ad hoc analyses and deep dives to uncover opportunities, risks, and strategic insights. Present complex analytical findings to both technical and non-technical audiences, tailoring recommendations appropriately for executives, marketers, and cross-functional partners. Influence decision-making by balancing analytical rigor with practical business considerations. Required Qualifications 5+ years of experience in marketing analytics with demonstrated impact on business performance. Deep understanding of marketing analytics, including: Data capture and integration across marketing technologies, Attribution and ROI measurement, Performance reporting, Translating analytical outputs into business recommendations. Proven experience partnering with senior leaders and cross-functional stakeholders, with the confidence and executive presence to influence decisions. Strong business acumen and intellectual curiosity, with the ability to ask thoughtful questions and connect analytics to broader organizational goals. Exceptional communication and storytelling skills, including experience presenting insights and recommendations to executive audiences. Minimum 2 years of recent experience with Tableau, Power BI, or comparable visualization tools. Minimum 2 years of recent experience with Adobe Analytics, Google Analytics, or similar web analytics platforms. Strong analytical and problem-solving skills with experience using SQL, Python, R, or comparable tools for data exploration and analysis. SQL preferred. Excellent attention to detail, documentation practices, data validation, and self-audit capabilities. Preferred Strong executive presence and polished communication skills. Experience influencing and partnering with senior leadership teams. The ability to synthesize complex analyses into clear, actionable recommendations. Solid business judgment and comfort navigating cross-functional environments. Intellectual curiosity and a proactive approach to uncovering opportunities through data. A consultative mindset focused on driving outcomes, not simply reporting metrics. SolarWinds is an Equal Employment Opportunity Employer. SolarWinds will consider all qualified applicants for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, marital status, disability, veteran status or any other characteristic protected by law. All applications are treated in accordance with the SolarWinds Privacy Notice: https://www.solarwinds.com/applicant-privacy-notice", "summaryDescription" : "Staff Marketing Analytics at SolarWinds. Skills: Marketing analytics, Data visualization, Statistical modeling, Machine learning. Develop and maintain marketing analytics dashboards. Analyze marketing campaign performance", "postedDate" : "2026-06-14T20:13:46.732", "createdAt" : "2026-06-14T20:13:46.732", "lastUpdated" : "2026-06-15T23:02:35.510", "ingestTimestamp" : "2026-06-14T20:13:46.732", "mongoId" : "6a2c93eb74d8ee00a0989441", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Marketing analytics", "SQL", "Data visualization", "A/B testing", "Statistical modeling", "Machine learning", "Data modeling", "Statistical analysis", "Experiment design", "Data storytelling", "Customer behavior", "Campaign performance", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cdee474d8ee00a0a5975f", "title" : "Operational Excellence Advisor", "company" : "ProSidian Consulting, LLC", "industry" : "Management Consulting", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Operational Excellence Advisor in Washington, United States, adjusted for the consulting industry and company size." }, "location" : "Washington, DC, United States", "locations" : [ "Washington", "DC", "United States" ], "timestamp" : "2026-06-15T13:23:51.759", "fingerprint" : "2349fd4cd064296636e4976b1c15bac6bb679848921ffabb5af2e9c4fff23782", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/prosidianconsulting/744000131739229-operational-excellence-advisor", "externalId" : "744000131739229", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "38.8950982,-77.0363849" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Washington, District of Columbia, United States; United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "professionalSkills" : [ "Risk Management", "Business Process", "IT Effectiveness", "Engineering", "Environmental", "Sustainability", "Human Capital", "Performance improvement assessment", "Operating model review", "Credit evaluation", "Lifecycle monitoring" ], "hardSkillsList" : [ "Lifecycle Performance Support" ], "hardSkills" : [ { "name" : "Lifecycle Performance Support", "level" : "intermediate" } ], "majorSkills" : "Operational Excellence, Risk Management", "majorSkillsList" : [ "Operational Excellence", "Risk Management" ], "coreResponsibilities" : "Provide services and support, Deliver bankable advisory services, Convert findings into outputs, Support operating model review, Support performance improvement opportunities, Support continuous improvement controls", "teamCollaboration" : "Management and Financial Consulting teams; Acquisition and Grants Management Support teams; Business Program and Project Management teams; Independent Engineering Advisory Services teams; Energy Dominance Financing teams; Technical Due Diligence teams; Credit Evaluation teams; Lifecycle Monitoring teams", "domainKnowledge" : "Oil and Gas Operations; Energy Infrastructure Projects; US Department of Energy; Loan Programs Office (LPO); Energy Dominance Financing (EDF); Risk Management Solutions; Commercial findings; Operating findings; Compliance findings; Construction findings; Discipline-specific engineering", "domainList" : [ "oil-and-gas-operations", "energy-infrastructure-projects", "us-department-of-energy", "loan-programs-office-lpo", "energy-dominance-financing-edf", "risk-management-solutions", "commercial-findings", "operating-findings", "compliance-findings", "construction-findings", "discipline-specific-engineering" ], "domainSpecificKnowledge" : [ "Oil and Gas Operations", "Energy Infrastructure Projects", "US Department of Energy", "Loan Programs Office (LPO)", "Energy Dominance Financing (EDF)", "Risk Management Solutions", "Commercial findings", "Operating findings", "Compliance findings", "Construction findings", "Discipline-specific engineering" ], "specialRequirements" : "Remote (within USA), On-site meetings expected, STD Background Chk, Security clearance necessary", "outcomesObjectives" : "Deliver lender-ready due diligence; Deliver lender-ready monitoring; Deliver lender-ready certification; Deliver lender-ready decision-support outputs", "qualificationsBasic" : "Senior Consultant II labor category, Energy Industry experience, Oil and Gas experience, Power and Utilities experience, Risk Management experience, Independent Engineering advisory services experience", "qualificationsPreferred" : "Functional area expertise ideal, Technical area expertise ideal", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "ProSidian is a Management and Operations Consulting Services firm that delivers value to clients through tailored solutions grounded in industry-leading practices. ProSidian provides enterprise services/solutions for Risk Management, Compliance, Business Process, IT Effectiveness, Engineering, Environmental, Sustainability, and Human Capital. We help forward-thinking clients solve problems and improve operations. Launched by Management Consultants, our multidisciplinary teams bring together the talents of global professionals to complete a wide range of engagements for public and private, defense and civilian government, and non-profit organizations. Our solution-centric services are deployed across the enterprise, target drivers of economic profit (growth, margin, and efficiency), and are aligned at the intersections of assets, processes, policies, and people delivering value. Learn More About ProSidian Consulting at www.ProSidian.com. ProSidian Seeks a Operational Excellence Advisor | Oil and Gas Operations Monitoring & Lifecycle Performance Support [DOE0051051] for Program Support on a Exempt 1099 Contract: No Overtime Pay Basis Remote (within USA - W/ On-Site Meetings Expected) in The CONUS - Located In Washington, DC / Nationwide (Remote Project Support Across the United States) Area Clearance Designation(s): STD Background Chk Contract Contingent, generally located across the CONUS - Located In Washington, DC / Nationwide (Remote Project Support Across the United States) Across The District of Columbia / Nationwide (Remote Project Support Across the United States) - Independent Engineering Advisory Services are typically performed remotely and at project sites nationwide. Region supporting a a department within the US Department of Energy [The Loan Programs Office (LPO)] that provides attractive debt financing for high-impact, large-scale energy infrastructure projects in the United States. The Operational Excellence Advisor | Oil and Gas Operations Monitoring & Lifecycle Performance Support [DOE0051051] is aligned with GSA Labor Category: Senior Consultant. We seek Operational Excellence Advisor | Oil and Gas Operations Monitoring & Lifecycle Performance Support [DOE0051051] candidates with relevant Energy Industry (Oil, And Gas/Power, And Utilities) Sector Experience (functional and technical area expertise also ideal) to support professional services engagement for Energy Industry (Oil, And Gas/Power, And Utilities) Sector Clients such as DOE. JOB OVERVIEW Provide services and support as a Operational Excellence Advisor [Independent Engineering (IE) Advisory Services] aligned with the Oil and Gas Operations Monitoring & Lifecycle Performance Support Functional Area / Swim Lane / Category Discipline in the Energy Industry (Oil, And Gas/Power, And Utilities) Industry Sector focussing on RM | Risk Management Solutions for clients such as U.S. Department of Energy (DOE) | DOE Energy Dominance Financing (EDF) Program Generally Located In CONUS - Located In Washington, DC / Nationwide (Remote Project Support Across the United States) and across the District of Columbia / Nationwide (Remote Project Support Across the United States) - Independent Engineering Advisory Services are typically performed remotely and at project sites nationwide. Region (Of Country/World) Remote (within USA - W/ On-Site Meetings Expected). Serves as a Operational Excellence Advisor within the Oil and Gas Operations Monitoring & Lifecycle Performance Support swim lane, delivering bankable, technically defensible Independent Engineering advisory services by converting discipline-specific engineering, construction, compliance, operating, commercial, and risk findings into lender-ready due diligence, monitoring, certification, and decision-support outputs. Serve as a Operational Excellence Advisor - Oil and Gas Operations Monitoring & Lifecycle Performance Support Specialist (Labor Category: Senior Consultant II) to provide Oil and Gas Operations Monitoring & Lifecycle Performance Support Operations / Compliance as part of an as part of an Independent Engineering (IE) Advisory Services | Energy Dominance Financing (EDF) Advisory / Technical Due Diligence / Credit Evaluation / Lifecycle Monitoring Team that provides Management and Financial Consulting, Acquisition and Grants Management Support, and Business Program and Project Management Services. This includes activities that address and Performance improvement assessment: Supports operating model review, performance improvement opportunities, and continuous improvement controls. RESPONSIBILITIES AND DUTIES-Operational Excellence Advisor | Oil and Gas Operations Monitoring & Lifecycle Performance Support [DOE0051051] Provides Independent Engineering advisory support for Energy Dominance Financing (EDF) Program technical due diligence, credit evaluation, lifecycle monitoring, and assurance activities, with emphasis on operating discipline, process improvement, performance management, and continuous improvement. Reviews project documentation, evaluates technical and commercial interfaces, identifies risks and mitigations, validates assumptions, supports conditions precedent and disbursement readiness reviews where applicable, and prepares defensible work products including OE assessments, performance scorecards, improvement roadmaps, operating model reviews, and KPI governance. Coordinates with engineering, finance, legal, construction, operations, environmental, HSE, and project controls stakeholders to support timely lender and DOE decision-making. The role(s) are located in the District of Columbia / Nationwide (Remote Project Support Across the United States) - Independent Engineering Advisory Services are typically performed remotely and at project sites nationwide. Region, at or near CONUS - Located In Washington, DC / Nationwide (Remote Project Support Across the United States). Initially identified Work Site Address (Remote (within USA - W/ On-Site Meetings Expected): 1000 Independence Avenue SW, Washington, DC 20585 ## Qualifications Desired Qualifications For Operational Excellence Advisor | Oil and Gas Operations Monitoring & Lifecycle Performance Support [DOE0051051] Candidates: 10+ years of relevant engineering, construction, operations, compliance, risk, finance, or energy infrastructure advisory experience; demonstrated work on oil and gas, power, utilities, or large-scale infrastructure projects for owners, lenders, independent engineers, or federal clients. Education / Experience Requirements / Qualifications Bachelor's degree in engineering, environmental science, construction management, business, risk management, finance, or related field. Relevant certifications such as PMP, CQA, CIA, ISO Lead Auditor, CHMM, CSP, or PMI-RMP preferred. 10+ years of relevant engineering, construction, operations, compliance, risk, finance, or energy infrastructure advisory experience; demonstrated work on oil and gas, power, utilities, or large-scale infrastructure projects for owners, lenders, independent engineers, or federal clients. Skills Required Primarily focused on Management and Financial Consulting, Acquisition and Grants Management Support, and Business Program and Project Management Services initiatives and aligned with Program Support activities Oil and Gas Operations Monitoring & Lifecycle Performance Support Functional Area Activities. Independent engineering review; U.S. Department of Energy (DOE) Loan Programs Office (LPO) - Style documentation discipline; technical due diligence; risk assessment; operating discipline, process improvement, performance management, and continuous improvement; data room review; information request tracking; report writing; Excel-based analysis; stakeholder coordination; and clear presentation of findings for credit, construction, monitoring, and certification decisions. Competencies Required * Technical judgment; independence and objectivity; analytical rigor; attention to detail; defensible documentation; client service orientation; cross-functional collaboration; issue escalation; quality mindset; schedule discipline; and ability to translate technical evidence into actionable risk, compliance, and financing implications. Ancillary Details Of The Roles * Ancillary role detail: may participate in data room reviews, borrower/contractor interviews, site observations, monthly monitoring meetings, risk register updates, CP evidence reviews, draw package checks, issue closure tracking, and preparation of Independent Engineer reports for DOE, LPO, credit, and program governance stakeholders. * The DOE Energy Dominance Financing (EDF) Program represents DOE/LPO-supported financing and lifecycle oversight activities for large-scale U.S. energy infrastructure projects, requiring independent engineering, technical due diligence, credit evaluation, construction monitoring, operational performance assessment, and risk management services to support financing decisions and protect government lending interests throughout the project lifecycle. DOE financing activities that support U.S. energy infrastructure, energy security, domestic production, and strategic energy investments. The financing authority itself would typically be administered through the DOE Loan Programs Office (LPO). * The Loan Programs Office (LPO) is the financing arm of the U.S. Department of Energy, responsible for providing Direct loans, loan guarantees, credit assistance, and project finance support for large-scale energy and infrastructure projects in the United States. The LPO evaluates projects from Technical, Engineering, Financial, Commercial, Environmental, Regulatory, Construction, and Operational perspectives before financing decisions are made. * Independent Engineering (IE) Advisory Services are needed for complex energy projects. DOE/LPO frequently requires independent technical reviews similar to those used by commercial lenders, export credit agencies, multilateral development banks, and institutional project finance investors. An EDF-style Independent Engineering engagement could include: * - Upstream Oil & Gas (Exploration and production | Reservoir development | Drilling programs) * - Midstream (Pipelines | Compression facilities | LNG infrastructure | Storage terminals) * - Downstream (Refineries | Petrochemical facilities | Processing plants) * - Power & Utilities (Generation facilities | Transmission infrastructure | Grid modernization | Energy storage) Other Details Role supports NAICS 541330 Engineering Services for Energy Dominance Financing (EDF) Program/Loan Programs Office (LPO) energy infrastructure financing, with work performed for high-impact oil and gas, power, utilities, and infrastructure projects. Outputs must be independent, traceable to source evidence, suitable for lender review, and aligned with technical due diligence, construction monitoring, EPC oversight, completion certification, operations monitoring, and long-term debt-service viability assessment needs. #TechnicalCrossCuttingJobs #Energy Industry (Oil, And Gas/Power, And Utilities) #Jugaad #Copitas #AskWhy #Zakat #PokaYoke #AskidaEmek ## Additional Information As a condition of employment, all employees must meet the requirements of their roles: establish, manage, pursue, and achieve annual goals and objectives with Documented Goals for each of the firm's Eight ProSidian Global Competencies [1 - Personal Effectiveness | 2 - Continuous Learning | 3 - Leadership | 4 - Client Service | 5 - Business Management | 6 - Business Development | 7 - Technical Expertise | 8 - Innovation & Knowledge Sharing (Thought Leadership)]; and support all business development and other efforts on behalf of ProSidian. Eight ProSidian Global Competencies 1. Personal Effectiveness – The ability to manage tasks, time, and relationships efficiently, achieving consistent, impactful results. 2. Continuous Learning – Ongoing pursuit of knowledge, skills, and adaptability to remain relevant, competent, and professionally competitive. 3. Leadership – Inspiring, guiding, and motivating others toward shared goals, fostering accountability, collaboration, and strategic organizational success. 4. Client Service – Delivering responsive, high-quality solutions that address client needs, build trust, and strengthen long-term partnerships. 5. Business Management – Coordinating people, processes, and resources to achieve strategic objectives, operational efficiency, and sustainable organizational performance. 6. Business Development – Identifying, pursuing, and securing growth opportunities through strategic relationships, market insight, and innovative solutions. 7. Technical Expertise – Applying specialized knowledge, analytical skills, and practical experience to solve complex problems with accuracy. 8. Innovation & Knowledge Sharing (Thought Leadership) – Generating creative solutions, sharing insights, and influencing industry direction through expertise, collaboration, and continuous improvement. ------------ --------------- ------------ OTHER REQUIREMENTS * Business Tools – understanding and proficiency with business tools and technology, including Microsoft Office. The ideal candidate is advanced with Excel, Access, Outlook, PowerPoint, and Word; proficient with Adobe Acrobat, data analytics tools, and Visio; and able to quickly learn other tools as needed. * Business Tools – understanding and proficiency with business tools and technology, including Microsoft Office. The ideal candidate is advanced with Excel, Access, Outlook, PowerPoint, and Word; proficient with Adobe Acrobat, data analytics tools, and Visio; and able to quickly learn other tools as needed. * Commitment - to work with intelligent, interesting people with diverse backgrounds to solve the most significant challenges across private, public, and social sectors. * Curiosity – the ideal candidate exhibits an inquisitive nature and the ability to question the status quo among a community of people they enjoy and teams that work well together. * Humility – exhibits grace in success and failure while doing meaningful work where skills have an impact and make a difference. * Willingness - to constantly learn, share, and grow, and to view the world as their classroom. ------------ --------------- ------------ BENEFITS AND HIGHLIGHTS ProSidian Employee Benefits and Highlights - Your health and well-being are vital to ProSidian. We invest in employees to support health and work-life balance. Our Employee Benefits Program promotes your health and well-being, including benefits for Full-Time Employees. * Competitive Compensation: The pay range is competitive and includes health benefits, pre-tax employee benefits, and incentives. The company contributes a fixed dollar amount each month to the selected medical and dental plans, with the contributions deducted pre-tax. * Group Medical / Dental / Vision Health Insurance Benefits: ProSidian partners with providers to offer eligible employees a range of medical and dental plans, including high-deductible health plans and PPOs, as well as plans for high and low vision. * 401(k) Retirement Savings Plan: The 401(k) Retirement Savings Plan lets eligible employees save for retirement with various investment options and support from a financial planner. It operates as a pre-tax Safe Harbor plan with a company match. * Vacation and Paid Time-Off (PTO) Benefits: Eligible employees can use PTO for vacations, doctor's appointments, or personal events. These benefits include 2 weeks of vacation, three sick days, 10 ProSidian holidays, and government holidays. * Pre-Tax Payment Programs: Pre-Tax Payment Programs are premium-only plans (POPs) that provide eligible employees with a comprehensive Flexible Spending Account (FSA) Plan and associated tax benefits. * Purchasing Discounts & Savings Plans: We aim for your financial success with a Purchasing Discounts and Savings Plan via the Corporate Perks Benefit Program, offering eligible employees discounts on everyday products and services. * Security Clearance: Due to the nature of our consulting engagements, a security clearance is necessary for engagement teams managing sensitive work in the Federal Marketplace. Security clearance is a valuable asset in your professional portfolio, enhancing your credentials. * ProSidian Employee & Contractor Referral Bonus Program: ProSidian can offer up to $5,000 for referrals who stay employed for 90 days, based on candidates submitted through our Referral Program. * Performance Incentives: Due to the nature of our consulting work, performance incentives are tied to each new client that employees assist in pursuing and supporting. * Flexible Spending Account: FSAs let you pre-tax cover eligible healthcare and daycare costs. You estimate your annual expenses and allocate part of each paycheck to your FSA. * Supplemental Life/Accidental Death and Dismemberment Insurance: If you want extra protection for yourself and your eligible dependents, you can choose supplemental life insurance. D&D covers death or dismemberment resulting solely from an accident. * Short- and Long-Term Disability Insurance: Disability insurance plans are designed to offer income protection during your recovery from a disability. ----------- ------------ ------------ ADDITIONAL INFORMATION - See Below Instructions On The Best Way To Apply ProSidian is committed to equal opportunity employment, assessing qualified applicants without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, or other protected characteristics. All information is kept confidential in line with EEO standards. The company supports the Hiring Our Heroes Program and the \"I Hire Military\" Initiative, encouraging all applicants—including veterans—to apply. Our core value, \"Honor Above All,\" emphasizes integrity, overcoming challenges, and striving for excellence. To apply, visit or send your resume, salary expectations, and job title or code to careers @ ProSidian.com. Only qualified candidates will be reviewed. Please make sure your subject line is clear and properly formatted. Application – [Job Title] – [Job Ref Code] – [Your Full Name]. Risk Management | Compliance | Business Processes | IT Effectiveness | Engineering | Environmental | Sustainability | Human Capital", "summaryDescription" : "Operational Excellence Advisor at ProSidian Consulting, LLC. Skills: Operational Excellence, Risk Management. Provide services and support. Deliver bankable advisory services", "postedDate" : "2026-06-11T18:26:50.000", "createdAt" : "2026-06-14T06:19:07.136", "lastUpdated" : "2026-06-15T13:23:51.759", "ingestTimestamp" : "2026-06-14T06:19:07.136", "mongoId" : "6a2cdee474d8ee00a0a5975f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Lifecycle Performance Support", "Operational Excellence", "Risk Management", "Business Process", "IT Effectiveness", "Engineering", "Environmental", "Sustainability", "Human Capital", "Performance improvement assessment", "Operating model review", "Credit evaluation", "Lifecycle monitoring", "Oil and Gas Operations", "Energy Infrastructure Projects", "US Department of Energy", "Loan Programs Office (LPO)", "Energy Dominance Financing (EDF)", "Risk Management Solutions", "Commercial findings", "Operating findings", "Compliance findings", "Construction findings", "Discipline-specific engineering" ], "skillCount" : 24, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2cb00c74d8ee00a09d8a24", "title" : "Marketing Analytics Lead", "company" : "Hostinger", "industry" : "Revenue & Data", "salary" : { "min" : 6000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vilnius", "locations" : [ "Vilnius", "Kaunas" ], "timestamp" : "2026-06-15T21:50:22.493", "fingerprint" : "7ad60b110ab202f295d93dc2e4bf703557a4149ef2e51d0f4a2b9324d731f9cf", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/hostinger/c29a806f-503f-47a8-9ac7-cf3b6b0c1abd/application", "externalId" : "c29a806f-503f-47a8-9ac7-cf3b6b0c1abd", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vilnius", "country" : "Lithuania", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "54.6870458,25.2829111" } ], "locationText" : "Vilnius, Lithuania", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, Tableau", "professionalSkills" : [ "Data analysis", "Business decisions", "Stakeholder management" ], "hardSkillsList" : [ "Data analytics", "Data visualization" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Marketing analytics, Team building, Data-driven decision making", "majorSkillsList" : [ "Marketing analytics", "Team building", "Data-driven decision making" ], "coreResponsibilities" : "Set standard for data-driven decision-making, Uphold standard for data-driven decision-making, Ensure marketing strategies are backed by data, Ensure marketing decisions are backed by data, Lead execution of marketing analytics projects, Translate raw data into growth opportunities, Build a team, Hire analysts, Onboard analysts, Mentor analysts, Inspire analysts, Foster a culture, Collaborate with marketing leaders, Align analytical roadmaps with goals, Take ownership of delivery lifecycle, Refine complex requirements, Prioritize backlog, Ensure working on highest impact bets, Iterate on team setup, Iterate on ways of work, Integrate AI, Integrate emerging technologies, Test decentralised leadership concepts, Go full agile, Reinvent the playbook", "teamCollaboration" : "Collaborate with marketing leaders; Collaborate across seniority levels; Bridge gap between technical colleagues; Bridge gap between non-technical colleagues", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Marketing fundamentals; Marketing attribution concepts", "domainList" : [ "marketing-fundamentals", "marketing-attribution-concepts" ], "domainSpecificKnowledge" : [ "Marketing fundamentals", "Marketing attribution concepts" ], "toolProficiency" : [ "Tableau" ], "continuousLearning" : "Access to Reforge; Access to Scribd; Global conferences; Physical libraries; Digital libraries; Mentoring through TesoXchange", "innovationCreativity" : "Integrate AI; Integrate emerging technologies; Test decentralised leadership concepts; Go full agile; Reinvent the playbook", "problemSolvingSkills" : "Data analysis; Translate complex data", "qualificationsBasic" : "Proven hiring skills, Proven onboarding skills, Proven leadership skills, Extensive hands-on data analytics experience, Proficiency in SQL, Proficiency in data visualization tools, Business acumen, Stakeholder management experience", "qualificationsPreferred" : "Knowledge of marketing attribution concepts, Interest in marketing attribution concepts, Tableau proficiency", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Join Hostinger, and we’ll grow fast! \uD83D\uDE80 We’re shaping the future of online success - powered by AI and driven by people. With 900+ talented professionals and over 5 million clients in 150 countries, we help creators and entrepreneurs bring their ideas to life faster and easier than ever before. Our mission: To provide tools that help individuals and small businesses succeed online faster and easier. Our culture: Guided by 10 company principles https://www.hostinger.com/principles. Our formula for success: Customer obsession, innovative products, and talented teams. As a Marketing Analytics Lead, you won’t just support our marketing analytics strategy - you will create and implement it. You will build and empower a team of high-caliber analysts to transform complex datasets into competitive intelligence that fuels our global growth. By owning the standard for data-driven decision-making, you will raise the bar for speed, precision and impact across Hostinger's multi-channel operation - from Affiliates and Influencers to PPC and Organic. Sounds like an exciting challenge? Let us meet and discuss how you can help scale Hostinger even further. Your day-to-day - Set and uphold the standard for data-driven decision-making, ensuring our marketing strategies and decisions are backed by data. - Lead the execution of marketing analytics projects, translating raw data into growth opportunities. - Build a team better than yourself - hire, onboard, mentor and inspire a squad of high-performing analysts, fostering a culture where technical mastery intersects curiosity and drive. - Collaborate directly with marketing leaders (Affiliates, Influencers, PPC, SEO, Product Marketing Managers and other) to align analytical roadmaps with our goals. - Take full ownership of delivery lifecycle - from refining complex requirements to prioritizing the backlog, constantly ensuring we're always working on the highest impact bets. - Keep on iterating in terms of team setup and ways of work - integrate AI or other emerging technologies, test decentralised leadership concepts or go full agile - freedom to reinvent the playbook. Your skills and experience - Proven hiring, onboarding and leadership skills with a track record of building environments where people perform at their peak. - A relentless drive for achieving ambitious goals through data analysis, together with uncompromising standards for quality and speed of delivery. - Solid understanding of marketing fundamentals, data signatures of different channels and marketing attribution concepts (or a strong willingness and interest to learn). - Extensive hands-on data analytics experience, with proficiency in SQL & data visualization tools (we use Tableau). - Strong business acumen with a proven track record of translating complex data into impactful business decisions. - Stakeholder management experience - ability to collaborate effectively across different seniority levels and bridge the gap between technical and non-technical colleagues. - An innovative, results-oriented attitude that constantly seeks to improve processes, team setup and outcomes. Benefits for you - \uD83D\uDE80 360 Growth: We provide limitless learning opportunities https://www.hostinger.com/blog/learning-culture: access to platforms like Reforge and Scribd, global conferences, physical and digital libraries, feedback culture https://www.hostinger.com/blog/reaching-your-peak, and mentoring through TesoXchange https://tesoxchange.com/. Advance your career with internal mobility and grow with a team eager to share knowledge and support your success. - \uD83C\uDFAF Freedom & responsibility: Work on your terms: from modern offices in Kaunas, Vilnius, or Indonesia, the comfort of home, or anywhere in the world. Enjoy flexibility in managing your schedule and bring your ideas to life in a fast-paced, dynamic environment. - \uD83D\uDCAAWellness simplified: Your health comes first with insurance from Day 1, gym memberships, recharge leave, and regular health checks. Join sports, arts, and hobby clubs or simply enjoy the balance of a lifestyle that prioritizes wellness. - \uD83C\uDF89 Work hard - play hard: Celebrate your achievements with company events like Summerfest https://www.youtube.com/watch?v=W-R7mLEwk6Q&ab_channel=HostingerUnfiltered & Winterfest https://www.linkedin.com/posts/hostinger_party-venicecarnival-celebration-activity-7284893033827823616-1mWO/?utm_source=share&utm_medium=member_desktop, Town Hall, Meet the Client initiatives, team-buildings, and workations. Enjoy access to the Žalgiris Arena VIP Lounge and celebrate life’s big moments with milestone gifts for weddings, new parenthood, and graduations. Compensation - Gross salary starting from 6000 EUR/month, depending on your experience and skills. We’re always looking for experienced talent to raise the bar. If you’re excited about the role but the listed salary range doesn’t align with your expectations, we still encourage you to apply - we’re open to adjusting compensation based on the impact and value you bring. Get ready to take your personal and professional growth to new heights! Join Hostinger today and be part of our journey \uD83D\uDE80 Three. Two. Onboard", "summaryDescription" : "Marketing Analytics Lead at Hostinger. Skills: Marketing analytics, Team building, Data-driven decision making. Set standard for data-driven decision-making. Uphold standard for data-driven decision-making", "createdAt" : "2026-06-14T18:18:50.138", "lastUpdated" : "2026-06-15T21:50:22.493", "ingestTimestamp" : "2026-06-14T18:32:22.631", "mongoId" : "6a2cb00c74d8ee00a09d8a24", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data analytics", "Data visualization", "Leadership", "Mentoring", "Marketing analytics", "Team building", "Data-driven decision making", "Data analysis", "Business decisions", "Stakeholder management", "Agile", "Marketing fundamentals", "Marketing attribution concepts", "Tableau" ], "skillCount" : 14, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8c8274d8ee00a0975aff", "title" : "Manager, Business Analytics (Brand Marketing)", "company" : "WHOOP", "industry" : "Business Intelligence & Analytics", "salary" : { "min" : 150000.0, "max" : 180000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, MA", "locations" : [ "Boston, MA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T04:27:07.554", "fingerprint" : "6931dc9359b135e65b48f779af0c4a2c4e1750bdb93d2fb3c98f776d6452db71", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/whoop/40c78e07-7ff0-4811-bcfa-f65426bf30cf/application", "externalId" : "40c78e07-7ff0-4811-bcfa-f65426bf30cf", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Tableau, Power BI, Looker", "professionalSkills" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and optimize data models, Design and implement ETL/ELT processes, Develop and deploy machine learning models, Create and maintain BI dashboards and reports, Perform statistical analysis and A/B testing, Collaborate with engineering teams, Ensure data quality and integrity, Mentor junior analysts and engineers", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams; Marketing teams", "domainKnowledge" : "Brand marketing; Consumer behavior; Marketing analytics", "domainList" : [ "brand-marketing", "consumer-behavior", "marketing-analytics" ], "domainSpecificKnowledge" : [ "Brand marketing", "Consumer behavior", "Marketing analytics" ], "toolProficiency" : [ "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "Snowflake", "BigQuery", "Redshift", "Databricks", "Delta Lake", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Present findings; Communicate insights", "documentationSkills" : "Document data models; Document processes", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "RESPONSIBILITIES: - - Own the end-to-end brand measurement strategy across awareness, consideration, perception, and upper-funnel impact, ensuring alignment with WHOOP’s broader growth objectives. - Build and execute a “test and learn” measurement roadmap aligned to Brand Media goals, driving continuous optimization and learning. - Lead measurement efforts across media effectiveness, brand health, and consumer behavior to inform investment decisions and future planning. - Oversee integrated campaign performance analysis across media channels, creative assets, and downstream business metrics, connecting brand spend to member growth and long-term value. - Demonstrate strong command of media concepts, metrics, and media plan execution, serving as a thought partner to the Brand and Media teams. - Evaluate and manage external brand media data partners, identifying innovative approaches to strengthen WHOOP’s measurement capabilities. - Translate survey data, media performance, web behavior, and conversion trends into clear, executive-ready insights and recommendations. - Manage, mentor, and develop analysts, fostering a culture of analytical rigor, strong storytelling, and high performance. QUALIFICATIONS: - - 6+ years of experience in Analytics, with direct experience in a consumer business preferred. - A self-serve player-coach; able to take broad business questions, wrangle appropriate data, quickly isolate and model key insights, visualize results and communicate actionable recommendations. - Clear, concise communicator with a bias for action. - Demonstrated success in influencing senior stakeholders on strategic direction based on data-driven insights. - Proficiency in SQL; experience with dbt, Snowflake and/or similar platforms. - Highly adept at leveraging AI tools to increase efficiency and quality of work. - Experience leading and developing a team, including driving large projects and mentoring junior analysts. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $150,000 - $180,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.", "summaryDescription" : "Manager, Business Analytics (Brand Marketing) at WHOOP. Skills: Data science, Data engineering, ML/AI, Business intelligence. Develop and maintain data pipelines. Build and optimize data models", "createdAt" : "2026-06-14T20:17:14.299", "lastUpdated" : "2026-06-16T04:27:07.554", "ingestTimestamp" : "2026-06-14T20:17:14.299", "mongoId" : "6a2c8c8274d8ee00a0975aff", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 180000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Machine learning", "Analytics engineering", "Quantitative analysis", "Brand marketing", "Consumer behavior", "Marketing analytics", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "Snowflake", "BigQuery", "Redshift", "Databricks", "Delta Lake", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "skillCount" : 43, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports & Fitness", "llmIndustryConfidence" : 0.95 }, { "id" : "694ae6e870f0b99d589b3a89", "title" : "Director of Reporting and Analytics", "company" : "SMU", "salary" : { "min" : 155000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for Director of Reporting and Analytics in Dallas, adjusted for the education industry and director-level seniority." }, "location" : "TX-Dallas", "locations" : [ "TX-Dallas" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T21:42:44.801", "fingerprint" : "209768f93e678f82182d88ec91775d47dd48120fefeed7ad940e7f97a11e7c00", "source" : "taleo", "language" : "en", "applyUrl" : "https://smu.taleo.net/careersection/ex/jobdetail.ftl?job=74552", "externalId" : "74552", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data manipulation", "Data visualization", "Statistical modeling", "Machine learning modeling", "ETL processes", "Data warehousing", "Database management", "Cloud computing" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" } ], "majorSkills" : "Data Analytics, Business Intelligence, Machine Learning, Data Engineering", "majorSkillsList" : [ "Data Analytics", "Business Intelligence", "Machine Learning", "Data Engineering" ], "coreResponsibilities" : "Develop and maintain reporting dashboards, Analyze complex datasets, Build predictive models, Collaborate with stakeholders, Ensure data quality, Optimize data pipelines, Present findings to leadership, Stay current with industry trends", "teamCollaboration" : "Cross-functional teams; Business stakeholders; Technical teams", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "communicationSkills" : "Stakeholder communication; Presentation skills", "documentationSkills" : "Technical documentation", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "Bachelor's degree in a quantitative field, 5+ years of experience in data analytics or related field, Proficiency in SQL, Experience with data visualization tools", "qualificationsPreferred" : "Master's degree or PhD in a quantitative field, Experience with cloud data platforms (e.g., Snowflake, BigQuery, Redshift), Experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch), Experience with data engineering tools (e.g., dbt, Airflow), Relevant certifications (e.g., GCP Professional Data Engineer, AWS Data Analytics)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Salary Range: Salary commensurate with experience and qualifications About SMU SMU’s more than 12,000 diverse, high-achieving students come from all 50 states and over 80 countries to take advantage of the University’s small classes, meaningful research opportunities, leadership development, community service, international study and innovative programs. SMU serves approximately 7,000 undergraduates and 5,000 graduate students through eight degree-granting schools: Dedman College of Humanities and Sciences , Cox School of Business , Lyle School of Engineering , Meadows School of the Arts , Simmons School of Education and Human Development , Dedman School of Law , Perkins School of Theology and Moody School of Graduate and Advanced Studies . SMU is data driven, and its powerful supercomputing ecosystem – paired with entrepreneurial drive – creates an unrivaled environment for the University to deliver research excellence. Now in its second century of achievement, SMU is recognized for the ways it supports students, faculty and alumni as they become ethical, enterprising leaders in their professions and communities. SMU’s relationship with Dallas – the dynamic center of one of the nation’s fastest-growing regions – offers unique learning, research, social and career opportunities that provide a launch pad for global impact. SMU is nonsectarian in its teaching and committed to academic freedom and open inquiry. About the Department: Development and External Affairs (DEA) supports SMU by securing funding for University priorities; by promoting meaningful involvement in the life and work of the University; by heightening international, national, state and local awareness of SMU; and by supporting the enrollment of a diverse and able student body. DEA comprises the offices of Office of the Vice President, Annual Giving and Alumni Relations, Development Services, Program Services and Donor Relations, Marketing and Communications, Principal and Major Gifts, and School and Project Development. SMU continues to leverage the benefits from the largest fund-raising campaign in its history to achieve dramatic increases in academic quality and impact. About the Position: This role is an on-campus, in-person position. The Director of Reporting and Analytics leads the strategic vision and execution of the reporting and analytics functions in concert with the Vice President of Development Services, directly supporting the objectives of the Development and External Affairs (DEA) division. The Director manages a team of professionals to develop, convert, and maintain the essential reporting suite while ensuring data integrity, consistency, and optimal architecture. By serving as a thought partner for stakeholders, the Director is critical in translating business goals into actionable insights and robust data services, ultimately maximizing the return on investment in data tools and empowering data-driven decision-making across DEA and SMU. Essential Functions: Leads, mentors, and develops the team of three analytics professionals. This involves setting clear performance expectations, prioritizing and assigning workloads, and fostering a collaborative environment. This leader's guidance is key to guiding the team through the CRM conversion and empowering them to become experts in the new toolset. Owns the technical vision and strategic roadmap for the reporting team. This includes evaluating and guiding the use of the entire reporting suite (Salesforce, CRMA, Tableau, and Apsona) to ensure SMU is maximizing its investment. Creates and enforces standards, processes, and structured governance for query tools like Workbench to ensure consistency and accuracy. Serves as the primary analytics partner and consultant for key stakeholders for Development and External Affairs (DEA) and campus partners. Proactively meets with partners to understand their business goals, translating those goals into technical specifications, and managing the intake process for all new data, report and dashboard requests. Leads the creation of SMU's essential reports during and following the Salesforce conversion. Manages the entire development lifecycle from scoping and design to build, testing, and deployment ensuring that new data requests and reports are accurate, efficient, and provide enhanced insights. Ensures colleagues understand business decisions and logic behind reporting models. Oversees the team's operational output, ensuring the timely and accurate fulfillment of ad-hoc data requests, such as mailing lists and metrics. A critical component of this function is designing, implementing, and enforcing a robust quality assurance (QA) process for all data outputs to guarantee data integrity and build stakeholder trust. Partners closely with the Advancement Applications and Technology Services team to inform and advise on the advancement data architecture, especially within Salesforce. This includes providing an analytics perspective on data flows, object relationships, and the impact of integrations with other third-party solutions to ensure data is structured for optimal reporting and analysis. Other duties as assigned. Occasional travel for professional conferences, speaking engagements, and/or site visits is required. Education and Experience: Bachelor’s degree is required. A Master's degree is preferred. Process improvement and project management certifications are preferred. A minimum of seven years of work experience is required. Experience managing multiple direct reports in a fast-paced, deadline oriented environment is also required. Experience in nonprofit development is desired. Higher education development experience is strongly preferred. Knowledge, Skills and Abilities: Candidate must demonstrate strong interpersonal and verbal communication skills, with the ability to communicate broadly across the University and develop and maintain effective relationships with a wide range of constituencies. Must also demonstrate strong written communication skills. Candidate must possess strong problem-solving skills with the ability to identify and analyze problems, as well as devise solutions. Must also have strong organizational, planning, and time management skills. Candidate must have strong public speaking and presentation skills necessary to drive adoption of data-driven practices and deliver actionable insights from analytics projects. Candidate must demonstrate knowledge of data governance standards and relevant regulation, particularly in regard to personally identifiable information (PII). Candidate must have substantial experience in the management of large scale non-profit CRM software, data analysis tools, and automated business intelligence tools. Physical and Environmental Demands: Sit for long periods of time Deadline to Apply: The position is open until filled. Priority consideration may be given to submissions received by January 9, 2026 EEO Statement SMU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression. Benefits: SMU offers staff a broad, competitive array of health and related benefit s. In addition to traditional benefits such as health, dental, and vision plans, SMU offers a wide range of wellness programs to help attract, support, and retain our employees whose work continues to make SMU an outstanding education and research institution. SMU is committed to providing an array of retirement programs that benefit and protect you and your family throughout your working years at SMU and, if you meet SMU's retirement eligibility criteria, during your retirement years after you leave SMU. The value of learning at SMU isn't just about preparing our students for the future. Employees have access to a wide variety of professional and personal development opportunities , including tuition benefits . USA-TX-Dallas", "summaryDescription" : "Director of Reporting and Analytics at SMU. Skills: Data Analytics, Business Intelligence, Machine Learning, Data Engineering. Develop and maintain reporting dashboards. Analyze complex datasets", "createdAt" : "2026-06-14T19:52:47.793", "lastUpdated" : "2026-06-15T21:42:44.801", "ingestTimestamp" : "2026-06-14T19:52:47.793", "mongoId" : "694ae6e870f0b99d589b3a89", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data manipulation", "Data visualization", "Statistical modeling", "Machine learning modeling", "ETL processes", "Data warehousing", "Database management", "Cloud computing", "Data Analytics", "Business Intelligence", "Machine Learning", "Data Engineering", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30662df292fd229cfaed57", "title" : "Head of Marketing Analytics", "company" : "Zopa", "industry" : "CAO General", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Marketing Analytics in London, UK, with adjustments for the FinTech industry and company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-16T11:28:19.177", "fingerprint" : "43f1e3a0d70706b7c65f3e1f6a960310d15d571a53915075351643538d7db1a9", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/zopa/f37c57aa-9b3c-4bb0-80e5-6cd1be81459b/apply", "externalId" : "f37c57aa-9b3c-4bb0-80e5-6cd1be81459b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Marketing measurement, Performance analytics, Analytical approaches", "professionalSkills" : [ "Strategic conversations", "Analytical detail", "Business questions", "Analytical work", "Measurement approaches", "Attribution approach", "Marketing effectiveness", "Analytical quality", "Analytical rigour" ], "hardSkillsList" : [ "Marketing analytics", "Growth analytics", "Customer analytics", "Marketing measurement", "Performance analytics", "Customer acquisition", "Customer engagement", "Experimentation", "Marketing investment", "Measurement", "Attribution", "Multi-channel acquisition", "Marketing effectiveness", "Analytical quality", "Analytical rigour" ], "softSkillsList" : [ "Leadership", "Coaching", "Mentoring" ], "hardSkills" : [ { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "Growth analytics", "level" : "intermediate" }, { "name" : "Customer analytics", "level" : "intermediate" }, { "name" : "Marketing measurement", "level" : "intermediate" }, { "name" : "Performance analytics", "level" : "intermediate" }, { "name" : "Customer acquisition", "level" : "intermediate" }, { "name" : "Customer engagement", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" }, { "name" : "Marketing investment", "level" : "intermediate" }, { "name" : "Measurement", "level" : "intermediate" }, { "name" : "Attribution", "level" : "intermediate" }, { "name" : "Multi-channel acquisition", "level" : "intermediate" }, { "name" : "Marketing effectiveness", "level" : "intermediate" }, { "name" : "Analytical quality", "level" : "intermediate" }, { "name" : "Analytical rigour", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Coaching" }, { "name" : "Mentoring" } ], "majorSkills" : "Marketing Analytics, Growth Analytics, Customer Analytics, Measurement, Attribution", "majorSkillsList" : [ "Marketing Analytics", "Growth Analytics", "Customer Analytics", "Measurement", "Attribution" ], "coreResponsibilities" : "Partner with senior stakeholders, Solve complex marketing challenges, Solve complex growth challenges, Translate business questions into analytical work, Lead a team of four Analysts, Coach a team of four Analysts, Develop a team of four Analysts, Guide measurement approaches, Build an attribution approach, Define long-term vision, Define long-term strategy, Improve maturity of Marketing Analytics frameworks, Improve maturity of Marketing Analytics processes, Improve maturity of Marketing Analytics capabilities, Influence decisions relating to customer acquisition, Influence decisions relating to growth, Influence decisions relating to marketing effectiveness, Build relationships across teams, Ensure analytical outputs are commercially impactful, Ensure analytical outputs are actionable, Maintain high standards of analytical quality, Maintain high standards of analytical rigour", "teamCollaboration" : "Senior stakeholders; Marketing teams; Growth teams; Analytics teams; Product stakeholders", "domainKnowledge" : "Marketing measurement; Performance analytics; Customer acquisition; CRM; Multi-touch attribution; Marketing mix modelling; Financial services; Fintech", "domainList" : [ "marketing-measurement", "performance-analytics", "customer-acquisition", "crm", "multi-touch-attribution", "marketing-mix-modelling", "financial-services", "fintech" ], "domainSpecificKnowledge" : [ "Marketing measurement", "Performance analytics", "Customer acquisition", "CRM", "Multi-touch attribution", "Marketing mix modelling", "Financial services", "Fintech" ], "problemSolvingSkills" : "Problem solver; Break down complex business questions", "specialRequirements" : "Work from abroad up to 120 days", "outcomesObjectives" : "Inform growth strategy; Inform customer value; Inform investment decisions", "qualificationsBasic" : "Experience in Marketing Analytics, Experience in Growth Analytics, Experience in Customer Analytics, Proven track record of leading analysts, Ability to operate between strategic conversations and analytical detail, Experience improving analytics functions, Build credibility with senior stakeholders", "qualificationsPreferred" : "Background in marketing agency, Background in media agency, Exposure to customer acquisition attribution, Exposure to CRM, Exposure to next best action modelling, Exposure to lifetime value modelling, Experience with multi-touch attribution, Experience with marketing mix modelling, Track record leading analytics transformation, Track record leading maturity improvement programmes, Experience operating in fast growing organisations, Financial services exposure, Fintech exposure, Familiarity with AI enabled analytics approaches, Familiarity with AI enabled analytics tools", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "## Description Our Story Hello there. We’re Zopa. We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don’t like about finance and does the opposite. We’re redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre — we’ve built a business that empowers everyone to aim high, every day, to move finance forward. Find out more about our fantastic offerings at Zopa.com! We’re incredibly proud of our achievements and none of it would be possible without the amazing team here. It’s not just industry awards we’re winning, we’ve also been named in the top three UK’s Most Loved Workplaces. If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you’ll thrive here at Zopa, so join us, and make it count. Want to see us in action? Follow us on Instagram @zopalife Marketing Analytics is becoming an increasingly important capability within the business, and this role will play a key part in shaping what that function looks like over the coming years. This is a really exciting opportunity to join at a pivotal point in the team's evolution. You'll help shape how Marketing, CRM and Growth teams use analytics to make better decisions about customer acquisition, engagement, experimentation and marketing investment, while leading a growing team and influencing decisions that directly impact business growth. Rather than inheriting a fully mature function, you'll help build capability, improve ways of working and establish Marketing Analytics as a strategic capability that informs growth strategy, customer value and investment decisions across the business. ## A day in the life Partner with senior stakeholders to solve complex marketing and growth challenges Translate strategic business questions into analytical work that drives action Lead, coach and develop a team of four Marketing Analysts Guide measurement approaches across acquisition, CRM and growth activity Build a strong measurement and attribution approach for an increasingly complex multi-channel acquisition approach Define and champion the long-term vision and strategy for Marketing Analytics, ensuring the function evolves to support Zopa's growth ambitions and changing marketing landscape Improve the maturity of Marketing Analytics frameworks, processes and capabilities Influence decisions relating to customer acquisition, growth and marketing effectiveness Build strong relationships across Marketing, Growth and Analytics teams as well as broader product stakeholders Ensure analytical outputs are commercially impactful and actionable Maintain high standards of analytical quality and rigour ## About you Strong experience in Marketing Analytics, Growth Analytics, Customer Analytics or a closely related field, with an exposure to a broad range of marketing measurement requirements across the funnel Deep domain expertise and understanding of the unique challenges of marketing measurement and performance analytics Proven track record of leading analysts and you enjoy coaching, mentoring and developing teams Ability to operate comfortably between strategic conversations and analytical detail Experience improving the maturity of analytics functions rather than simply maintaining established processes A strong problem solver who can break down complex business questions into practical analytical approaches You can build credibility with senior stakeholders across both marketing and analytics functions You bring enough technical depth to challenge thinking, review analytical approaches and maintain analytical standards Comfortable working in an environment that is still evolving and where there is opportunity to shape the future direction Added bonus: Background in marketing or media agency environments Exposure to customer acquisition attribution, CRM, next best action / lifetime value modelling Experience with multi-touch attribution and marketing mix modelling to enhance effectiveness Track record leading analytics transformation or maturity improvement programmes Experience operating in fast growing organisations where analytics capabilities are still being established Financial services or fintech exposure Familiarity with AI enabled analytics approaches and tools ## Additional Information At Zopa we value flexible ways of working. We value face-to-face collaboration and a good work-life balance. This hybrid role requires you to come to our London office 2-3 days a week. You'll also have the option of working from abroad for up to 120 days a year!* But no matter where you are, we’ll make sure you’ve got everything you need to thrive, both in your work and home life, from day one. *Subject to having the right to work in the country of choice Diversity Statement Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments. ", "summaryDescription" : "Head of Marketing Analytics at Zopa. Skills: Marketing Analytics, Growth Analytics, Customer Analytics, Measurement, Attribution. Partner with senior stakeholders. Solve complex marketing challenges", "postedDate" : "2026-06-15T16:27:08.498", "createdAt" : "2026-06-15T16:27:08.498", "lastUpdated" : "2026-06-16T11:28:19.177", "ingestTimestamp" : "2026-06-16T03:26:36.991", "mongoId" : "6a30662df292fd229cfaed57", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Marketing analytics", "Growth analytics", "Customer analytics", "Marketing measurement", "Performance analytics", "Customer acquisition", "Customer engagement", "Experimentation", "Marketing investment", "Measurement", "Attribution", "Multi-channel acquisition", "Marketing effectiveness", "Analytical quality", "Analytical rigour", "Leadership", "Coaching", "Mentoring", "Marketing Analytics", "Growth Analytics", "Customer Analytics", "Strategic conversations", "Analytical detail", "Business questions", "Analytical work", "Measurement approaches", "Attribution approach", "CRM", "Multi-touch attribution", "Marketing mix modelling", "Financial services", "Fintech" ], "skillCount" : 32, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.97 }, { "id" : "6a30511af292fd229cefa802", "title" : "Technical Operational Manager", "industry" : "Project Management", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Technical Operational Manager in the Technology industry in India, adjusted for seniority and manager experience." }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-16T11:37:23.292", "fingerprint" : "596c97dd979a1e9b2f2f534c78e8583b4ca46dd25f2f177c28609ba21b09eaab", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/809c0213-2be0-4a5b-a5f8-690857faf943/apply", "externalId" : "809c0213-2be0-4a5b-a5f8-690857faf943", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Jira Cloud, Jellyfish, AI, LLMs, Python, JavaScript", "professionalSkills" : [ "Engineering operations", "Data-driven program management", "Tooling administration", "Capital allocation", "R&D reporting", "Engineering investment visibility", "Executive-level insights", "Operational frameworks" ], "hardSkillsList" : [ "Automation systems", "Ticket hygiene", "Workflow optimization", "Operational efficiency", "Engineering metrics dashboards", "Flow metrics", "Cycle time", "Lead time", "Deployment frequency", "Data governance", "Issue taxonomy", "Workflows", "Automation rules" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Automation systems", "level" : "intermediate" }, { "name" : "Ticket hygiene", "level" : "intermediate" }, { "name" : "Workflow optimization", "level" : "intermediate" }, { "name" : "Operational efficiency", "level" : "intermediate" }, { "name" : "Engineering metrics dashboards", "level" : "intermediate" }, { "name" : "Flow metrics", "level" : "intermediate" }, { "name" : "Cycle time", "level" : "intermediate" }, { "name" : "Lead time", "level" : "intermediate" }, { "name" : "Deployment frequency", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Issue taxonomy", "level" : "intermediate" }, { "name" : "Workflows", "level" : "intermediate" }, { "name" : "Automation rules", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Engineering execution system, Insights system, Jira Cloud administration, Jellyfish analysis", "majorSkillsList" : [ "Engineering execution system", "Insights system", "Jira Cloud administration", "Jellyfish analysis" ], "coreResponsibilities" : "Design engineering execution system, Operate engineering execution system, Design insights system, Operate insights system, Ensure accurate engineering data, Ensure scalable engineering data, Ensure actionable engineering data, Configure scalable engineering workflows, Maintain scalable engineering workflows, Configure issue structures, Maintain issue structures, Configure automation rules, Maintain automation rules, Map engineering work data, Ensure accurate product allocation, Ensure accurate engineering allocation, Standardize issue taxonomy, Standardize workflows, Standardize data governance, Build automation systems, Maintain automation systems, Develop engineering metrics dashboards, Deliver engineering metrics dashboards, Partner with finance teams, Partner with leadership teams, Support capital allocation, Support R&D reporting, Support engineering investment visibility, Translate engineering datasets, Provide executive-level insights, Provide recommendations, Collaborate with stakeholders, Improve operational frameworks, Improve reporting accuracy", "teamCollaboration" : "Cross-functional stakeholders; Engineering teams; Product teams; Operations teams", "projectManagementSkills" : [ "Program management", "Agile delivery metrics", "Flow metrics" ], "domainKnowledge" : "Engineering operations; DORA metrics; Flow metrics; SDLC; Agile frameworks; Scaled Agile frameworks", "domainList" : [ "engineering-operations", "dora-metrics", "flow-metrics", "sdlc", "agile-frameworks", "scaled-agile-frameworks" ], "domainSpecificKnowledge" : [ "Engineering operations", "DORA metrics", "Flow metrics", "SDLC", "Agile frameworks", "Scaled Agile frameworks" ], "toolProficiency" : [ "Jira Cloud", "Jellyfish", "AI agents", "Rule-based systems" ], "communicationSkills" : "Executive-level insights; Narratives; Recommendations", "continuousLearning" : "Learning and development support", "problemSolvingSkills" : "Analytical thinking; Root cause analysis", "qualificationsBasic" : "5+ years Engineering Operations, 5+ years Program Management, 5+ years data-intensive engineering roles, Expert-level Jira Cloud administration, Working knowledge of Jellyfish, Deep understanding of Agile delivery metrics, Deep understanding of engineering performance indicators, Ability to design structured engineering data systems, Ability to manage structured engineering data systems, Ability to design reporting frameworks, Ability to manage reporting frameworks, Experience using AI tools, Experience using LLMs, Analytical thinking, Ability to influence cross-functional stakeholders, Familiarity with SDLC, Familiarity with Scrum, Familiarity with SAFe", "qualificationsPreferred" : "Basic scripting experience, Integration experience using Python, Integration experience using JavaScript, Scaled Agile frameworks experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities You will be responsible for designing and operating the engineering execution and insights system that powers organizational visibility, using tools such as Jira Cloud and Jellyfish to ensure accurate, scalable, and actionable engineering data across the organization. Design, configure, and maintain scalable engineering workflows, issue structures, and automation rules across large-scale Jira environments. Map engineering work data into investment and delivery insights using Jellyfish, ensuring accurate representation of product and engineering allocation. Standardize issue taxonomy, workflows, and data governance across multiple engineering squads to ensure consistent reporting and analytics. Build and maintain automation systems for ticket hygiene, workflow optimization, and operational efficiency using AI agents and rule-based systems. Develop and deliver engineering metrics dashboards focused on DORA and flow metrics such as cycle time, lead time, deployment frequency, and bottlenecks. Partner with finance and leadership teams to support capital allocation, R&D reporting, and engineering investment visibility. Translate complex engineering datasets into executive-level insights, narratives, and recommendations using AI-assisted analysis tools. Collaborate with stakeholders across engineering, product, and operations teams to continuously improve operational frameworks and reporting accuracy. Requirements This role requires strong experience in engineering operations, data-driven program management, and tooling administration, with the ability to operate at scale in complex engineering environments. You should be comfortable working deeply with engineering systems, automation, and AI-driven workflows. 5+ years of experience in Engineering Operations, Program Management, or similar data-intensive engineering roles. Expert-level proficiency in Jira Cloud administration, including workflows, permissions, and automation. Strong working knowledge of Jellyfish or similar engineering intelligence tools. Deep understanding of Agile delivery metrics and engineering performance indicators, including DORA and flow metrics. Strong ability to design and manage structured engineering data systems, taxonomies, and reporting frameworks. Experience using AI tools and LLMs to automate analysis, reporting, and operational workflows. Basic scripting or integration experience using Python or JavaScript for API-based automation is a plus. Familiarity with SDLC, Scrum, and scaled Agile frameworks such as SAFe. Strong analytical thinking, communication skills, and ability to influence cross-functional stakeholders. Benefits Competitive compensation with performance-based bonus eligibility Flexible working arrangements and remote-friendly culture Comprehensive health coverage including medical, dental, and vision insurance Paid parental leave, sabbatical opportunities, and generous time-off policies Learning and development support for continuous skill growth Access to modern engineering tooling and AI-enabled platforms Inclusive, global work environment focused on autonomy and impact. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Technical Operational Manager. Skills: Engineering execution system, Insights system, Jira Cloud administration, Jellyfish analysis. Design engineering execution system. Operate engineering execution system", "postedDate" : "2026-06-15T11:45:52.115", "createdAt" : "2026-06-15T11:45:52.115", "lastUpdated" : "2026-06-16T11:37:23.292", "ingestTimestamp" : "2026-06-16T03:22:12.604", "mongoId" : "6a30511af292fd229cefa802", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Automation systems", "Ticket hygiene", "Workflow optimization", "Operational efficiency", "Engineering metrics dashboards", "Flow metrics", "Cycle time", "Lead time", "Deployment frequency", "Data governance", "Issue taxonomy", "Workflows", "Automation rules", "Leadership", "Engineering execution system", "Insights system", "Jira Cloud administration", "Jellyfish analysis", "Engineering operations", "Data-driven program management", "Tooling administration", "Capital allocation", "R&D reporting", "Engineering investment visibility", "Executive-level insights", "Operational frameworks", "Program management", "Agile delivery metrics", "DORA metrics", "SDLC", "Agile frameworks", "Scaled Agile frameworks", "Jira Cloud", "Jellyfish", "AI agents", "Rule-based systems" ], "skillCount" : 36, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307653f292fd229c01868b", "title" : "Data Reporter, Senior Data Reporter", "company" : "Financial Times", "industry" : "Media", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Reporter in New York, United States, with adjustments for the media industry and company size." }, "location" : "New York", "locations" : [ "New York" ], "timestamp" : "2026-06-16T11:05:22.596", "fingerprint" : "841d880dee9c0cb749a04eed70320c7034a93595b270ca6b0d46acd3cd552bdc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/financialtimes33/jobs/4895510101", "externalId" : "4895510101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, R, Excel, APIs, Databases, Web scraping, HTML, CSS, JavaScript, D3", "professionalSkills" : [ "Data acquisition", "Data cleaning", "Data analysis", "Reporting", "Storytelling", "Visualisation", "Interactive content", "Journalistic techniques", "Analytical projects", "Investigative projects", "Business reporting", "Analytical storytelling" ], "hardSkillsList" : [ "Quantitative analysis", "Data interpretation", "Data visualisation", "Journalistic integrity" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data visualisation", "level" : "intermediate" }, { "name" : "Journalistic integrity", "level" : "intermediate" } ], "majorSkills" : "Data journalism, Data analysis, Visual storytelling, Data visualisation", "majorSkillsList" : [ "Data journalism", "Data analysis", "Visual storytelling", "Data visualisation" ], "coreResponsibilities" : "Develop original, data-driven stories, Source datasets, Collect datasets, Clean datasets, Analyse datasets, Build compelling charts, Build graphics, Build interactive visualisations, Identify trends within datasets, Identify anomalies within datasets, Identify opportunities within datasets, Run analytical projects, Complete analytical projects, Complete shorter-term assignments, Collaborate with reporters, Collaborate with editors, Collaborate with visual journalists, Support colleagues, Use public records, Use databases, Use APIs, Use web scraping techniques, Use proprietary datasets, Ensure reporting meets highest standards, Ensure analysis meets highest standards, Contribute to development of data journalism capabilities", "teamCollaboration" : "Cross-functional teams; Reporters and editors; Data visualisation team", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Institutional investing; Wealth management; Financial advisory industry", "domainList" : [ "institutional-investing", "wealth-management", "financial-advisory-industry" ], "domainSpecificKnowledge" : [ "Institutional investing", "Wealth management", "Financial advisory industry" ], "toolProficiency" : [ "Flourish", "Adobe Illustrator" ], "communicationSkills" : "Translate quantitative findings", "problemSolvingSkills" : "Data analysis", "outcomesObjectives" : "Produce exclusive, data-driven reporting; Produce visual storytelling; Create engaging visualisations; Create interactive content; Deliver insights readers cannot find elsewhere; Enhance storytelling; Enhance audience engagement; Uncover new reporting opportunities", "qualificationsBasic" : "Demonstrated experience producing data-driven journalism, Interest in data journalism, Interest in visual storytelling, Interest in financial or business news, Proven track record to identify, analyse and communicate compelling stories through data, Experience using Python or R for data acquisition, cleaning, analysis and reporting, Proficiency with Excel, Experience working with APIs, Experience working with databases, Experience working with web scraping techniques, Knowledge of data visualisation standard processes, Exceptional attention to detail, Commitment to accuracy, Ability to translate complex quantitative findings into clear and engaging journalism for non-technical audiences, Communication skills, Collaboration skills, Project management skills, Experience working successfully within cross-functional teams, Experience working in time-sensitive environments", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us The Financial Times is one of the world’s leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide. At the FT, curiosity thrives and ambitious thinking is rewarded. Here, you’re given the chance to reach millions, create work that matters and deliver impartial journalism in a polarised world. In our warm, collaborative culture, you’ll connect with a diverse community of experts who support your growth, career aspirations and wellbeing. Your future at the FT will be filled with opportunities that challenge and inspire you. With no fixed path, you’ll discover new skills and forge a career that can take you anywhere. Build a newsworthy career at the FT. Our Commitment to Equity in the Workplace We believe in the power of unique perspectives and want all voices in our organisation to be heard, respected and valued. A supportive workplace is one where employees feel they can be themselves and operate to their full potential. We are committed to removing barriers for everyone, with a focus on addressing those faced by underrepresented groups. The Role / Position Overview FT Specialist is seeking a Data Reporter / Senior Data Reporter to join our growing data journalism team, producing exclusive, data-driven reporting and visual storytelling for FundFire and Financial Advisor IQ. This role sits at the intersection of journalism, data analysis and visual design. You will be responsible for sourcing, cleaning, analysing and interpreting complex datasets to uncover original stories covering institutional investments, wealth management and the financial advisory industry. You will also create engaging visualisations and interactive content that help our journalism stand out and deliver insights readers cannot find elsewhere. Working as part of a six-person data visualisation team, you will collaborate closely with reporters and editors across both publications while reporting to the Managing Editor of Data Visualization. The successful candidate will be equally comfortable developing ambitious long-term investigative and analytical projects as well as delivering shorter-turnaround stories that respond to emerging industry trends and news events. We are looking for a curious, collaborative and entrepreneurial journalist who is passionate about using data to reveal meaningful stories and who is committed to continually developing their skills in a fast-evolving newsroom environment. Key Responsibilities Develop original, data-driven stories covering institutional investing, wealth management and financial advisory businesses. Source, collect, clean and analyse structured and unstructured datasets using a range of journalistic and analytical techniques. Build compelling charts, graphics and interactive visualisations that enhance storytelling and audience engagement. Identify trends, anomalies and opportunities within datasets that lead to exclusive reporting. Run and complete both long-term analytical projects and shorter-term assignments driven by current events . Collaborate with reporters, editors and visual journalists across FundFire and Financial Advisor IQ. Support colleagues in applying data journalism procedures and interpreting quantitative information accurately. Use public records, databases, APIs, web scraping techniques and proprietary datasets to uncover new reporting opportunities. Ensure all reporting and analysis meets the highest standards of accuracy, transparency and journalistic integrity. Contribute to the ongoing development of data journalism capabilities across FT Specialist. Required Skills / Experience Demonstrated experience producing data-driven journalism, business reporting or analytical storytelling in a newsroom or comparable environment. Strong interest in data journalism, visual storytelling and financial or business news. Proven track record to identify, analyse and communicate compelling stories through data. Experience using Python or R for data acquisition, cleaning, analysis and reporting. Strong proficiency with Excel and other data analysis tools. Experience working with APIs, databases and web scraping techniques. Knowledge of data visualisation standard processes and experience using tools such as Flourish, Adobe Illustrator, HTML, CSS, JavaScript, D3 or comparable front-end technologies. Exceptional attention to detail and commitment to accuracy. Ability to translate complex quantitative findings into clear and engaging journalism for non-technical audiences. Strong communication, collaboration and project management skills. Experience working successfully within cross-functional teams and time-sensitive environments. What’s in it for You? Our Benefits Our benefits vary by location but we are committed to providing best-in-class perks across all our offices. These include generous annual leave, medical cover, inclusive parental leave packages, subsidised gym memberships and opportunities to give back to the community. Full details of our benefits are available here: https://aboutus.ft.com/careers/benefits. We’ve embraced a 50% hybrid working model (averaging two to three days onsite) that fosters trust and remote adaptability while encouraging in-person camaraderie and peer learning. Additionally, we are open to accommodating specific flexible working pattern requests for all roles where feasible. Accessibility We are committed to creating an inclusive and accessible recruitment process. Please let us know if you require any reasonable adjustments or accommodations during the application process or interview stage. If you would like to discuss your requirements, please contact talent@ft.com and a member of our team will be happy to help. Further Information A reasonable estimate of the salary range for this role is $75,000-$95,000. The upper end of the scale reflects pay of someone who comes in at the senior reporter level, with confirmed experience and strong work to show. Earlier career candidates will be considered for reporter-level roles. To ensure pay fairness, the successful candidate will be offered a salary within the estimated salary range based on a number of considerations including but not limited to: skills; experience and training; certifications; and other business and organisational needs. The disclosed range estimate is for our NYC office and has not been adjusted for other locations. This role is part of the FT Specialist US Guild and covered under a collective bargaining agreement with the Writers’ Guild of America East. At the FT, we embrace innovation and the use of technology and appreciate that individuals may use AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is crucial that all information provided is authentic and accurately represents your skills, experience, and qualifications. Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all. Please beware of fraudulent job postings and offers claiming to be from the Financial Times. All legitimate opportunities will direct you to apply through the official Financial Times careers site, and the FT will never ask for financial information, payments, or referrals to third parties during the hiring process. If you have any concerns about the legitimacy of a job posting or suspect any scam activity, please contact talent@ft.com. Interested in the FT but don’t see the right role yet? Join our Talent Community to receive exclusive updates, featured jobs, and insights into working at the FT.", "summaryDescription" : "Data Reporter, Senior Data Reporter at Financial Times. Skills: Data journalism, Data analysis, Visual storytelling, Data visualisation. Develop original, data-driven stories. Source datasets", "postedDate" : "2026-06-16T01:20:06.423", "createdAt" : "2026-06-16T01:20:06.423", "lastUpdated" : "2026-06-16T11:05:22.596", "ingestTimestamp" : "2026-06-16T01:20:06.423", "mongoId" : "6a307653f292fd229c01868b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Quantitative analysis", "Data interpretation", "Data visualisation", "Journalistic integrity", "Data journalism", "Data analysis", "Visual storytelling", "Data acquisition", "Data cleaning", "Reporting", "Storytelling", "Visualisation", "Interactive content", "Journalistic techniques", "Analytical projects", "Investigative projects", "Business reporting", "Analytical storytelling", "Project management", "Institutional investing", "Wealth management", "Financial advisory industry", "Flourish", "Adobe Illustrator" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307fc9f292fd229c05e1e1", "title" : "Sr. Operational Finance Manager", "company" : "Viant Technology", "industry" : "FinTech", "salary" : { "min" : 165500.0, "max" : 234500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Sr. Operational Finance Manager in Irvine, United States, adjusted for seniority, technology industry, and company size." }, "location" : "Irvine, California, United States", "locations" : [ "Irvine", "California", "United States" ], "certifications" : [ "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "timestamp" : "2026-06-16T14:48:29.727", "fingerprint" : "6771032221055c22b803960c2dda41bb8f673ad71e0517a764ffe2d6802cbcc5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/vianttechnology/jobs/4285684009", "externalId" : "4285684009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "domainKnowledge" : "Financial instruments; Regulatory frameworks; Risk methodologies; Quantitative skills", "domainList" : [ "financial-instruments", "regulatory-frameworks", "risk-methodologies", "quantitative-skills" ], "domainSpecificKnowledge" : [ "Financial instruments", "Regulatory frameworks", "Risk methodologies", "Quantitative skills" ], "rawDescription" : "WHAT YOU’LL DO Viant's Finance organization is seeking a Sr. Manager, Operational Finance to support financial and operational decision-making through reporting, analytics, process improvement, and business transformation initiatives. This role partners across Finance, Sales, Operations, Product, and Technology to improve business visibility, drive scalable solutions, and support company growth. The ideal candidate combines strong analytical skills, intellectual curiosity, and a proactive \"figure it out\" mindset. They are data literate and fluent in the concepts behind modern AI tools, including how to prompt effectively, evaluate outputs critically, and apply automation where it adds real leverage. They thrive in ambiguity, move with urgency, and are always looking for a smarter path to the answer. THE DAY-TO-DAY Own the operational and financial performance management reporting cadence, building and delivering accurate reporting packages that track KPIs, monitor variance to plan, and support both internal decision-making and recurring external reporting requirements for executive and investor audiences Analyze operational and financial data to identify trends, risks, and opportunities, and prepare executive-level insights for senior leadership and the finance team Partner cross-functionally with department leaders and project teams to ensure accurate financial data and identify operational enhancements that drive the execution of strategic business transformation initiatives Build ad-hoc financial analyses and models to support emerging business needs, including cloud infrastructure costs, vendor economics, and other cross-functional operational questions, and translate findings into clear, actionable insights for senior leadership Contribute to system implementations and process improvements to enhance scalability, automation, and the reporting of key business metrics Apply working knowledge of AI tools, effective prompting techniques, and modern data workflows to accelerate analysis, reduce manual effort, and continuously raise the bar on the speed and quality of financial insights GREAT TO HAVE 8+ years of progressive experience, primarily in FP CPA, MBA, and/or CMA a plus Solid understanding of accounting concepts and the interaction between an income statement, balance sheet and cash flow statement Advanced Excel and financial modeling capabilities. Proficiency in SQL or relational databases; familiarity with BI tools Strong analytical skills with a sharp eye for relevant details and trends Excellent communication skills with the ability to clearly present insights to senior leadership Ability to manage multiple priorities and meet deadlines in a dynamic, fast-paced environment Strong problem-solving mentality with the ability to work through ambiguity and build solutions from the ground up LIFE AT VIANT Investing in our employee’s professional growth is important to us, but so is investing in their well-being. That’s why Viant was voted one of the best places to work and some of our favorite employee benefits include fully paid health insurance, paid parental leave and unlimited PTO and more. Base compensation range: $150,000 - $175,000 In accordance with California law, the range provided is Viant’s reasonable estimate of the compensation for this role. Final title and compensation for the position will be based on several factors including work experience and education. #LI-KT1 About Viant Viant Technology (NASDAQ: DSP) is an exclusively buy-side, AI-powered advertising platform purpose-built for CTV. Viant uniquely combines proprietary content intelligence, household-level identity resolution, and person-level attention signals to connect advertisers with real customers and drive measurable outcomes across the open internet. Through its award-winning AI solutions, Viant is building the future of autonomous advertising, where AI doesn't just assist the campaign, it delivers real results. Learn more at viantinc.com. Viant is an equal opportunity employer and makes employment decisions on the basis of merit. Viant prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, reproductive health decision making, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws. Viant also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics. By clicking “Apply for this Job” and providing any information, I accept the Viant California Personnel Privacy Notice.", "summaryDescription" : "Sr. Operational Finance Manager at Viant Technology", "postedDate" : "2026-06-16T01:17:02.890", "createdAt" : "2026-06-16T01:17:02.890", "lastUpdated" : "2026-06-16T14:48:29.727", "ingestTimestamp" : "2026-06-16T01:17:02.890", "mongoId" : "6a307fc9f292fd229c05e1e1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165500, "salaryAnnualMax" : 234500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Financial instruments", "Regulatory frameworks", "Risk methodologies", "Quantitative skills", "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "skillCount" : 14, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2176f474d8ee00a0c1b5e7", "title" : "Sr. Planning, Reporting & Analytics Program Manager", "company" : "Amazon Japan G. K.", "industry" : "Project/Program/Product Management--Non-Tech, Program Management, Logistics", "salary" : { "min" : 1.3E7, "max" : 1.8E7, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Planning, Reporting & Analytics Program Manager in Tokyo, Japan, adjusted for Amazon's company size and the logistics industry." }, "location" : "Tokyo, JPN", "locations" : [ "Tokyo, JPN" ], "timestamp" : "2026-06-15T00:56:21.007", "fingerprint" : "42ea92ad7977e519992e53247019a3b007ab42b12650f8b62c6905736f74861d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10436671/apply", "externalId" : "69d8e8a5-a6b1-4253-9ee3-ca382f3884e1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tokyo", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "35.6768601,139.7638947" } ], "locationText" : "Tokyo, Japan", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Excel, SQL, Tableau, Quicksight", "professionalSkills" : [ "Program management", "Business analysis", "Capacity planning", "Operations planning", "Data synthesis", "Narrative writing", "Process improvement" ], "hardSkillsList" : [ "Data analysis", "Reporting mechanisms", "Performance metrics" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting mechanisms", "level" : "intermediate" }, { "name" : "Performance metrics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Planning, Reporting, Analytics, Program management", "majorSkillsList" : [ "Planning", "Reporting", "Analytics", "Program management" ], "coreResponsibilities" : "Own and orchestrate planning cycles, Manage timelines, Coordinate cross-functionally, Ensure deliverable quality, Own preparation and delivery of reporting, Synthesize data, Write narratives, Drive clear decisions, Write executive-level narratives, Edit executive-level narratives, Build reporting mechanisms, Identify trends, Identify risks, Identify opportunities, Act as connective tissue, Manage competing priorities", "teamCollaboration" : "Cross-functional alignment; Operations teams; Finance teams; Product teams; Technology teams", "projectManagementSkills" : [ "Program management", "Timeline management", "Cross-functional coordination", "Priority management" ], "domainKnowledge" : "Logistics; Supply chain; Business performance; Operational metrics", "domainList" : [ "logistics", "supply-chain", "business-performance", "operational-metrics" ], "domainSpecificKnowledge" : [ "Logistics", "Supply chain", "Business performance", "Operational metrics" ], "toolProficiency" : [ "Excel", "Pivot Tables", "Macros", "SQL", "Tableau", "Quicksight" ], "communicationSkills" : "Executive-level narratives; Business reviews; Data stories", "documentationSkills" : "Executive-level narratives", "problemSolvingSkills" : "Dive deep into data; Identify trends; Identify risks; Identify opportunities", "outcomesObjectives" : "Drive decisions; Ensure shared understanding", "qualificationsBasic" : "5+ years program management, Experience using data, Own program strategy, Experience in verbal and written communication, Experience in capacity planning, Experience in operations planning, Experience in business analysis, English-language communication skills, Experience managing business review cadences", "qualificationsPreferred" : "Master's degree, Experience working directly with senior executives, Experience in transportation and supply chain, Experience with data analysis tools, Experience with planning, Experience with performance metrics, Experience with process improvement, Business level of Japanese", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ever wanted to be the person who connects the dots between strategy and execution for an entire logistics organization? This role puts you at the center of it all. As our Sr. Planning, Reporting & Analytics PM, you'll be the driving force behind how we plan, measure, and communicate our business performance. You'll own every major planning cycle, from annual operating plans to quarterly goal-setting, and every business review that lands in front of our senior leaders. When a VP or Director needs to understand where we stand, where we're headed, and what we need to do next, they'll be looking at your work. This isn't a behind-the-scenes role. You'll be in the room, shaping the narrative, challenging assumptions, and turning complex data into clear, compelling stories that drive decisions. You'll orchestrate cross-functional alignment across teams, manage competing priorities, and ensure we're always operating with a shared understanding of our goals and performance. What you'll solve: - How do we translate long-term strategy into actionable plans that teams can execute against? - How do we create a single source of truth for business performance that leadership can trust and act on? - How do we ensure our reporting cadence drives accountability and surfaces the right insights at the right time? If you thrive on structure, love turning ambiguity into clarity, and write with the precision and persuasion needed to influence senior leaders, this is your role. Key job responsibilities - Planning Cycles: Own and orchestrate all annual and quarterly planning cycles: timeline management, cross-functional coordination, and final deliverable quality. - Business Reviews: Own preparation and delivery of all reporting cadences: data synthesis, narrative writing, and ensuring every review drives clear decisions for senior management audiences. - Document Ownership: Single-threaded owner for most external-facing documents. Write and edit executive-level narratives that are clear, concise, and bar-raising. - Analytics & Insights: Build reporting mechanisms that surface the right metrics at the right cadence. Dive deep into data to identify trends, risks, and opportunities. - Cross-Functional Coordination: Act as the connective tissue between operations, finance, product, and technology teams, managing competing priorities across peak planning periods. A day in the life Your day revolves around keeping leadership informed and the business on track. You might be writing the narrative for a weekly business review, chasing inputs from operations and finance, or orchestrating a planning cycle with tight deadlines and competing stakeholders. When numbers don't add up, you dive deep. Your customers are senior leaders who rely on your work to make decisions — when they walk into a review feeling prepared, that's your impact. About the team Easy Ship is Amazon's managed delivery solution for Marketplace sellers. We pick up packages directly from sellers and deliver them to customers through Amazon's logistics network. For sellers, it means they can focus on their products instead of managing carriers. For customers, it means faster, more reliable delivery with full visibility. We're still early. The business is growing fast, and we're building the playbook as we go, building processes, mechanisms, tools, and the operational foundations that will scale this service across the country. That means less bureaucracy, more ownership, and real impact on decisions that shape the business. Basic Qualifications: - 5+ years of program or project management experience - Experience using data and metrics to determine and drive improvements - Experience owning program strategy, end to end delivery, and communicating results to senior leadership - Experience in verbal and written communication for executive level leaders - Experience in capacity planning, operations planning, business analysis or similar - Experience in English-language communication skills, both written and verbal - Experience managing business review cadences or equivalent recurring reporting mechanisms Preferred Qualifications: - Master's degree, or MBA in supply chain, business, engineering, finance or related technical or quantitative field - Experience working directly with senior executives and leadership teams - Experience in transportation and supply chain - Experience with data analysis tools such as Excel, Pivot Tables, macros, SQL, visualization tools - Tableau, Quicksight, etc. - Experience with planning, performance metrics, and process improvement - Business level of Japanese Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Sr. Planning, Reporting & Analytics Program Manager at Amazon Japan G. K.. Skills: Planning, Reporting, Analytics, Program management. Own and orchestrate planning cycles. Manage timelines", "postedDate" : "2026-06-13T09:00:06.854", "createdAt" : "2026-06-13T09:00:06.854", "lastUpdated" : "2026-06-15T00:56:21.007", "ingestTimestamp" : "2026-06-13T09:00:06.854", "mongoId" : "6a2176f474d8ee00a0c1b5e7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10436671/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Reporting mechanisms", "Performance metrics", "Leadership", "Planning", "Reporting", "Analytics", "Program management", "Business analysis", "Capacity planning", "Operations planning", "Data synthesis", "Narrative writing", "Process improvement", "Timeline management", "Cross-functional coordination", "Priority management", "Logistics", "Supply chain", "Business performance", "Operational metrics", "Excel", "Pivot Tables", "Macros", "SQL", "Tableau", "Quicksight" ], "skillCount" : 27, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca53b74d8ee00a09b550a", "title" : "Data & Analytics Engineer", "company" : "True Classic", "industry" : "E-Commerce", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data & Analytics Engineer in Calabasas, CA, adjusted for mid-seniority and e-commerce industry." }, "location" : "Calabasas, California, United States", "locations" : [ "Calabasas", "California", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T01:02:24.906", "fingerprint" : "4cb8ccd16e8ac76cf43a896155e7386d14131af5150e59a8e8bdadf542736a81", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/trueclassicteesllc/jobs/5238831008", "externalId" : "5238831008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Calabasas", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1446643,-118.6440970" } ], "locationText" : "Calabasas, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Tableau, Power BI, Looker", "professionalSkills" : [ "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Data analysis", "Statistical analysis", "Machine learning", "A/B testing", "Causal inference", "Data governance", "Data quality", "Data architecture" ], "hardSkillsList" : [ "Data pipeline development", "Database management", "Cloud computing", "Machine learning implementation", "Statistical modeling", "Data visualization" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "Machine learning implementation", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, Analytics Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Engineering", "Analytics Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Design, build, and maintain scalable data pipelines, Develop and optimize data models and schemas, Implement ETL/ELT processes, Build and manage data warehouses and data lakes, Develop and deploy machine learning models, Create and maintain BI dashboards and reports, Perform data analysis to drive business insights, Ensure data quality and integrity, Collaborate with stakeholders to understand data needs, Automate data processes, Monitor and troubleshoot data systems", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "E-commerce analytics; Customer behavior analysis; Marketing analytics; Supply chain analytics", "domainList" : [ "e-commerce-analytics", "customer-behavior-analysis", "marketing-analytics", "supply-chain-analytics" ], "domainSpecificKnowledge" : [ "E-commerce analytics", "Customer behavior analysis", "Marketing analytics", "Supply chain analytics" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "problemSolvingSkills" : "Data analysis; Troubleshooting; Root cause analysis", "qualificationsBasic" : "5+ years of experience in data engineering or analytics engineering, Proficiency in SQL, Bachelor's degree in Computer Science, Statistics, Mathematics, or related field", "qualificationsPreferred" : "Master's degree or PhD preferred, Experience with cloud data warehouses (Snowflake, BigQuery, Redshift), Experience with data pipeline orchestration tools (Airflow, Prefect), Experience with BI tools (Tableau, Power BI, Looker), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified Associate, Dbt Certified Developer", "rawDescription" : "True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business stakeholder teams. This role will support core analytics engineering functions, ensuring clean, well-structured, and reliable data pipelines built to best practice standards. This role is ideal for someone who is hands-on and technically rigorous, with a strong command of data engineering best practices — including pipeline design, data modeling, testing, and documentation — and can contribute meaningfully to a mid-build platform in a fast-paced, evolving environment. All of True Classic’s roles are global and omni-channel, leading designated areas of accountability across all product categories, countries, and sales and marketing channels. This role will have impact across DTC, retail, wholesale, marketplaces, and emerging channels, ensuring strategic alignment and executional rigor across the enterprise. Areas of Accountability Extend & Maintain the Data Platform Build and maintain dbt models following best practices for modularity, testing, documentation, and code quality Contribute to completion of open data model workstreams across inventory, media, and product functions Expand data source connectivity and pipeline coverage across marketing and fulfillment systems Maintain and improve ETL/ELT workflows via Daasity and BigQuery Help monitor and optimize cloud data infrastructure for cost and performance Bridge Data to the Business Deploy and maintain Omni dashboards on top of BigQuery for cross-functional stakeholders Support business KPI tracking by structuring financial data for forecasting, cost modeling, and channel-level P&L Contribute to predictive models for demand forecasting, inventory planning, and revenue projections Build and maintain the serving layer that the AI team queries — clean, modeled BigQuery tables in place of direct API calls AI-Augmented Development Use AI coding tools (Claude Code, Cursor, Copilot) daily to write dbt models, debug pipelines, and accelerate development Collaborate with the AI team to ensure the warehouse serves their applications with clean inputs for automation, ML models, and real-time ops tools Identify opportunities where AI can automate data quality checks, anomaly detection, and pipeline monitoring Cross Functional Collaboration Work with finance to ensure financial data structures support forecasting and P&L reporting needs Partner with the AI team to ensure warehouse outputs support downstream automation and machine learning applications Work alongside merchandising, operations, and analytics stakeholders to translate business questions into reliable data models and visualizations Qualifications 4+ years of experience in data engineering or analytics engineering Strong understanding of data engineering best practices: pipeline design, data modeling, testing, and documentation Hands-on experience with dbt Cloud, Google BigQuery, and SaaS API pipeline development Strong SQL skills including joins, window functions, and CTEs Python proficiency for pipeline scripting, API integrations, and light modeling Familiarity with statistical modeling and predictive analytics (regression, time series) Comfortable working with non-technical stakeholders to translate business questions into data models and visualizations Proficiency with AI coding tools — daily use expected Preferred Qualifications NetSuite or ERP experience Daasity, Shopify/Amazon data Marketing attribution platforms (Meta CAPI, Google Ads, Triple Whale), Omni/Looker, GitHub-based workflows Workplace Arrangement This role is on-site (5x week in office) based in Calabasas, CA. Compensation and Benefits Compensation Competitive Salary + bonus Time Off Unlimited PTO and sick time Health & Wellness Company-paid medical, dental, and vision insurance $100/month Health & Wellness stipend Free Employee Assistance Program (EAP) Work & Growth Support $100/month Personal Workspace/Office stipend Perks $1,000/year True Classic merchandise allowance 401(k) plan with 3% company match True Classic is proud to be an equal opportunity employer. We celebrate and support differences in race, religion, color, national origin, gender, sexual orientation, gender identity, age, veteran status, and abilities. If you need assistance or accommodation due to a disability, please contact Human Resources. At True Classic, our purpose is simple: empower everyone to look good and feel good. Founded in 2019, we’re a fast-growing apparel brand obsessed with fit, quality, and impact. But we’re building more than great products—we’re building a high-performance team where smart, driven people do meaningful work, move fast, and see the direct results of what they create. Everything we do is guided by the True Classic Operating System (TCOS)—the principles that shape how we work, make decisions, and win together: Move the Needle – Our #1 value and the ultimate filter for decision-making. We focus on delivering tangible, measurable results that drive real business impact. Paint the Picture – We set clear vision and help others see what great looks like. Seek the Truth – We use data, customer insight, and curiosity to guide decisions. Get 1% Better – We continuously improve how we work through strong systems and small wins. Build Leverage – We maximize impact with the right mix of people, tools, automation, and AI. Crush the Challenge – We surface problems early and take ownership to solve them. Go Fast – We take initiative, move with urgency, and bias toward action. Be Creative – We challenge the norm and find better ways to win. Lead with Empathy – We care deeply about our customers and each other. If you thrive in fast-paced environments, take ownership of your work, and want to build something that actually moves the needle—join us and help shape what’s next at True Classic!", "summaryDescription" : "Data & Analytics Engineer at True Classic. Skills: Data Engineering, Analytics Engineering, Machine Learning, Business Intelligence. Design, build, and maintain scalable data pipelines. Develop and optimize data models and schemas", "postedDate" : "2026-06-14T19:16:27.116", "createdAt" : "2026-06-14T19:16:27.116", "lastUpdated" : "2026-06-16T01:02:24.906", "ingestTimestamp" : "2026-06-14T19:16:27.116", "mongoId" : "6a2ca53b74d8ee00a09b550a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Database management", "Cloud computing", "Machine learning implementation", "Statistical modeling", "Data visualization", "Data Engineering", "Analytics Engineering", "Machine Learning", "Business Intelligence", "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Data analysis", "Statistical analysis", "Machine learning", "A/B testing", "Causal inference", "Data governance", "Data quality", "Data architecture", "E-commerce analytics", "Customer behavior analysis", "Marketing analytics", "Supply chain analytics", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "skillCount" : 46, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305649f292fd229cf26d25", "title" : "Software Development Engineer, Data Analytics Integration AI and Platform Excellence", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 100000.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-16T07:39:42.737", "fingerprint" : "f189dad85d0178b4fb4f4d5d3a02dc6ff4fe6528021c331d657300ba4d0e4a85", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449222/apply", "externalId" : "7d7d3df1-a764-4b2a-b65b-8a777a30d0ee", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Join Amazon's Data Integration organization and help shape the future of AI-driven data integration! We're seeking a talented Software Engineer to join our AI and Platform Excellence (APEX) team. APEX is at the forefront of leveraging AI/ML to revolutionize data integration workflows, making them simpler, and more efficient. As a member of APEX, you'll build core algorithms that harness the power of AI and machine learning to simplify the authoring, troubleshooting, upgrading, and optimization of data integration workflows. Your work will directly impact Amazon's ability to manage and utilize vast amounts of data across its many products and services. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Key job responsibilities - Design, develop, and implement AI/ML-powered products for data integration workflows which simplifies complexity in data processing. - Build and own critical infrastructure powering Amazon's next-generation AI capabilities - Collaborate with data scientists and ML experts to s to transform innovative ideas into production systems - Optimize existing algorithms and systems for performance, scalability, and reliability - Contribute to the full software development lifecycle, from conception to production deployment - Mentor junior engineers and promote best practices in software development and AI implementation A day in the life - Impact: Your work will directly influence how AI capabilities are developed and deployed at Amazon - Innovation: Work at the intersection of advanced AI research and enterprise-scale engineering - Growth: Learn from experts while working with the latest in AI technology - Purpose: Help shape responsible AI development practices and sustainable computing - Team: Join a collaborative environment focused on solving complex, meaningful challenges This role offers unique exposure to both AI infrastructure and product development, positioning you to make significant contributions to Amazon's AI initiatives while working with some of the industry's brightest minds. About the team AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 158,100.00 - 213,800.00 USD annually", "summaryDescription" : "Software Development Engineer, Data Analytics Integration AI and Platform Excellence at Amazon Development Center U.S., Inc.", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T22:01:30.857", "lastUpdated" : "2026-06-16T07:39:42.737", "ingestTimestamp" : "2026-06-15T22:01:30.857", "mongoId" : "6a305649f292fd229cf26d25", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449222/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305649f292fd229cf26d20", "title" : "Software Development Engineer, Data Analytics Integration AI and Platform Excellence", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 100000.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-16T06:13:39.463", "fingerprint" : "50923704d9285932d87355c66f615fb628a3dee944399657d3377b2bbf68aeb2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449227/apply", "externalId" : "74feb277-9aca-4907-914e-e556ee6f95b4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Join Amazon's Data Integration organization and help shape the future of AI-driven data integration! We're seeking a talented Software Engineer to join our AI and Platform Excellence (APEX) team. APEX is at the forefront of leveraging AI/ML to revolutionize data integration workflows, making them simpler, and more efficient. As a member of APEX, you'll build core algorithms that harness the power of AI and machine learning to simplify the authoring, troubleshooting, upgrading, and optimization of data integration workflows. Your work will directly impact Amazon's ability to manage and utilize vast amounts of data across its many products and services. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Key job responsibilities - Design, develop, and implement AI/ML-powered products for data integration workflows which simplifies complexity in data processing. - Build and own critical infrastructure powering Amazon's next-generation AI capabilities - Collaborate with data scientists and ML experts to s to transform innovative ideas into production systems - Optimize existing algorithms and systems for performance, scalability, and reliability - Contribute to the full software development lifecycle, from conception to production deployment - Mentor junior engineers and promote best practices in software development and AI implementation A day in the life - Impact: Your work will directly influence how AI capabilities are developed and deployed at Amazon - Innovation: Work at the intersection of advanced AI research and enterprise-scale engineering - Growth: Learn from experts while working with the latest in AI technology - Purpose: Help shape responsible AI development practices and sustainable computing - Team: Join a collaborative environment focused on solving complex, meaningful challenges This role offers unique exposure to both AI infrastructure and product development, positioning you to make significant contributions to Amazon's AI initiatives while working with some of the industry's brightest minds. About the team AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 158,100.00 - 213,800.00 USD annually", "summaryDescription" : "Software Development Engineer, Data Analytics Integration AI and Platform Excellence at Amazon Development Center U.S., Inc.", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T22:01:18.805", "lastUpdated" : "2026-06-16T06:13:39.463", "ingestTimestamp" : "2026-06-15T22:01:18.805", "mongoId" : "6a305649f292fd229cf26d20", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449227/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3055f8f292fd229cf23915", "title" : "Senior Analyst / Manager of Data & Analytics", "company" : "Equinox", "industry" : "Health, Wellness And Fitness", "salary" : { "min" : 100000.0, "max" : 110000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY, United States", "locations" : [ "New York", "NY", "United States" ], "timestamp" : "2026-06-16T11:10:30.074", "fingerprint" : "3de3889dc8f3cbc8b3ebd51ed1b945bc3b570b2df4065e8762b67a0b1a1f9c4b", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Equinox/744000132200739-senior-analyst-manager-of-data-analytics", "externalId" : "744000132200739", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "SQL, Python, Pandas, Matplotlib, Looker, LookML, Tableau, Jupyter Notebooks, GCP, AWS", "professionalSkills" : [ "Data modeling", "Business intelligence", "Data analysis", "Data storytelling", "Executive presentations" ], "hardSkillsList" : [ "Data modeling", "Dashboarding", "Predictive modeling", "Statistical analysis", "Data pipelines" ], "softSkillsList" : [ "Curious", "Problem-solver" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Dashboarding", "level" : "intermediate" }, { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Problem-solver" } ], "majorSkills" : "Data analysis, Business intelligence, Data modeling, Data storytelling", "majorSkillsList" : [ "Data analysis", "Business intelligence", "Data modeling", "Data storytelling" ], "coreResponsibilities" : "Understand business questions, Deliver timely analysis, Surface opportunities for data-driven improvement, Design and maintain Looker dashboards, Monitor key business metrics, Proactively identify trends and performance gaps, Build, optimize, and document LookML models, Audit existing dashboards and data sources, Identify consolidation opportunities, Diagnose and resolve data issues, Improve data pipelines, Ensure reporting accuracy, Trace issues back to their source, Develop and maintain predictive models, Forecast business outcomes, Forecast customer behavior, Develop deep familiarity with data landscape, Contribute to long-term data strategy, Build culture of data-driven decision-making", "teamCollaboration" : "Partner with cross-functional teams; Partner with senior stakeholders; Partner with Data Engineering team", "projectManagementSkills" : [ "Manage multiple priorities" ], "domainKnowledge" : "Business performance metrics; Customer behavior analysis", "domainList" : [ "business-performance-metrics", "customer-behavior-analysis" ], "domainSpecificKnowledge" : [ "Business performance metrics", "Customer behavior analysis" ], "toolProficiency" : [ "Looker", "LookML", "Tableau", "Jupyter Notebooks" ], "communicationSkills" : "Translate complex data; Clear recommendations", "documentationSkills" : "Document LookML models", "continuousLearning" : "Growth opportunities; Leadership opportunities; Professional development opportunities", "problemSolvingSkills" : "Problem-solver; Analytical rigor", "outcomesObjectives" : "Drive business forward; Make smarter decisions; Make faster decisions", "qualificationsBasic" : "4 to 6 years of professional experience in analytics, business intelligence, or data engineering, SQL proficiency, Ability to work independently and manage multiple priorities, Exceptional attention to detail and organizational skills", "qualificationsPreferred" : "Expert in proficiency in Python (pandas, matplotlib, etc.), Hands-on experience with Looker/LookML, Familiarity with Tableau, Familiarity with Jupyter Notebooks, Familiarity with GCP/AWS, Experience with predictive modeling or statistical analysis (regression, forecasting) a plus, Creative problem-solver who thrives on ambiguous questions, Willingness to initiate tasks and perform duties with limited direction", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE We’re purpose-driven. With every ride, we aim to redefine health and happiness. It’s all about being more than a workout: SoulCycle is a mind-body-soul experience, built on community, love, respect, acceptance, and a lot of fun. It comes to life through the ride, the relationships, and the unparalleled hospitality. And all of that comes from our people. Join us—we’d love to have you. OUR MISSION To foster an open, diverse, & inclusive community – while embracing each unique individual exactly as they are. We empower each other by listening with an open mind, finding ways to learn and grow together, and always nurturing a sanctuary of trust. SoulCycle is seeking a sharp, curious data professional with a passion for turning numbers into narratives and insights into action. If you have a strong foundation in analytics and business intelligence, a deep comfort with SQL, and the ability to move fluidly between data infrastructure and executive-level storytelling, we'd love to hear from you. The Senior Analyst / Manager will be the connective tissue between our data systems and the decisions that drive our business forward. This role is equally focused on the technical work of building and maintaining reliable, scalable data models and dashboards, and the strategic work of surfacing trends, patterns, and opportunities that help SoulCycle make smarter, faster decisions. The ability to own an analysis end-to-end, from pulling the data to presenting the \"so what,\" is essential. The ideal candidate is a proactive, detail-obsessed problem-solver who thrives in ambiguity and knows how to prioritize competing demands without losing rigor or quality. This is a high-impact, high-visibility role that touches every team at SoulCycle, and the right person will be energized by that breadth, not overwhelmed by it. This individual will develop deep expertise in SoulCycle's full data landscape, contribute to our long-term data strategy, and help build a culture of data-driven decision-making across the organization, all while staying close to the day-to-day analytical needs of a fast-moving business. RESPONSIBILITIES * Insights & Recommendations: Partner with cross-functional teams and senior stakeholders to understand business questions, deliver timely analysis, and surface opportunities for data-driven improvement * Visualizations & Dashboarding: Design and maintain ad-hoc and recurring Looker reports; build and monitor key business metrics; proactively identify trends and performance gaps * Data Modeling: Build, optimize, and document LookML models that support scalable, efficient analysis across the organization * Infrastructure & Data Quality: Audit existing dashboards and data sources to identify consolidation opportunities; diagnose and resolve data discrepancies; partner with the Data Engineering team to improve data pipelines and ensure reporting accuracy. Possess a strong instinct for when data doesn't look right and the analytical rigor to trace issues back to their source. * Predictive Modeling: Develop and maintain models that forecast business outcomes, customer behavior, and other key metrics * Subject Matter Expertise: Develop deep familiarity with SoulCycle's full data landscape and contribute to evolving how the business measures performance ## Qualifications * 4 to 6 years of professional experience in analytics, business intelligence, or data engineering * Expert in SQL; proficiency in Python (pandas, matplotlib, etc.) strongly preferred * Hands-on experience with Looker/LookML; familiarity with Tableau, Jupyter Notebooks, and GCP/AWS * Experience with predictive modeling or statistical analysis (regression, forecasting) a plus * Ability to work independently and manage multiple priorities in a fast-paced environment * Strong communicator: able to translate complex data into clear recommendations for both technical and non-technical audiences * Exceptional attention to detail and organizational skills * Creative problem-solver who thrives on ambiguous questions * Willingness to initiate tasks and perform duties with limited direction JOINING THE SOULCYCLE FAMILY As a member of the SoulCycle family, you will enjoy: * Competitive salary, benefits, and perks/discounts at SoulCycle * Unlimited complimentary rides at all SoulCycle locations * Growth, leadership, and professional development opportunities The salary range for this position is $100K to $110K. ## Additional Information The responsibilities and duties of this position described here are representative of those an employee must perform. This is not a comprehensive list and other duties may be assigned.", "summaryDescription" : "Senior Analyst / Manager of Data & Analytics at Equinox. Skills: Data analysis, Business intelligence, Data modeling, Data storytelling. Understand business questions. Deliver timely analysis", "postedDate" : "2026-06-15T13:17:44.000", "createdAt" : "2026-06-15T23:44:59.011", "lastUpdated" : "2026-06-16T11:10:30.074", "ingestTimestamp" : "2026-06-15T23:44:59.011", "mongoId" : "6a3055f8f292fd229cf23915", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100000, "salaryAnnualMax" : 110000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Dashboarding", "Predictive modeling", "Statistical analysis", "Data pipelines", "Curious", "Problem-solver", "Data analysis", "Business intelligence", "Data storytelling", "Executive presentations", "Manage multiple priorities", "Business performance metrics", "Customer behavior analysis", "Looker", "LookML", "Tableau", "Jupyter Notebooks" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports & Fitness", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30503ff292fd229ceedf3c", "title" : "Senior Analyst / Manager of Data & Analytics", "company" : "Equinox", "industry" : "Health, Wellness And Fitness", "salary" : { "min" : 100000.0, "max" : 110000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY, United States", "locations" : [ "New York", "NY", "United States" ], "timestamp" : "2026-06-16T05:40:25.996", "fingerprint" : "a1ad4d9a00366e1c7ae464d9c051fb28202e96a0de31f1b6f660b3f58f51c488", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Equinox/744000132200739-senior-analyst-manager-of-data-analytics", "externalId" : "744000132200739", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "SQL, Python, Pandas, Matplotlib, Looker, LookML, Tableau, Jupyter Notebooks, GCP, AWS", "professionalSkills" : [ "Data modeling", "Business intelligence", "Data analysis", "Data storytelling", "Executive-level storytelling" ], "hardSkillsList" : [ "Data modeling", "Dashboarding", "Predictive modeling", "Statistical analysis", "Data pipelines" ], "softSkillsList" : [ "Curious", "Problem-solver" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Dashboarding", "level" : "intermediate" }, { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Problem-solver" } ], "majorSkills" : "Data & Analytics, Business Intelligence, Data Modeling, Storytelling", "majorSkillsList" : [ "Data & Analytics", "Business Intelligence", "Data Modeling", "Storytelling" ], "coreResponsibilities" : "Understand business questions, Deliver timely analysis, Surface opportunities for data-driven improvement, Design and maintain dashboards, Monitor key business metrics, Proactively identify trends and performance gaps, Build, optimize, and document LookML models, Support scalable, efficient analysis, Audit existing dashboards and data sources, Identify consolidation opportunities, Diagnose and resolve data issues, Improve data pipelines, Ensure reporting accuracy, Trace issues back to their source, Develop and maintain models that forecast business outcomes, Develop and maintain models that forecast customer behavior, Develop deep familiarity with data landscape, Contribute to long-term data strategy, Build culture of data-driven decision-making", "teamCollaboration" : "Partner with cross-functional teams; Partner with senior stakeholders; Partner with Data Engineering team", "projectManagementSkills" : [ "Manage multiple priorities" ], "domainKnowledge" : "Business performance measurement", "domainList" : [ "business-performance-measurement" ], "domainSpecificKnowledge" : [ "Business performance measurement" ], "toolProficiency" : [ "Looker", "LookML", "Tableau", "Jupyter Notebooks" ], "communicationSkills" : "Translate complex data; Clear recommendations", "documentationSkills" : "Document LookML models", "continuousLearning" : "Professional development opportunities", "problemSolvingSkills" : "Problem-solver; Ambiguous questions", "outcomesObjectives" : "Drive business forward; Make smarter, faster decisions", "qualificationsBasic" : "4 to 6 years of professional experience in analytics, business intelligence, or data engineering, SQL proficiency, Ability to work independently and manage multiple priorities, Exceptional attention to detail and organizational skills", "qualificationsPreferred" : "Expert in proficiency in Python (pandas, matplotlib, etc.), Hands-on experience with Looker/LookML, Familiarity with Tableau, Familiarity with Jupyter Notebooks, Familiarity with GCP/AWS, Experience with predictive modeling or statistical analysis (regression, forecasting) a plus, Creative problem-solver who thrives on ambiguous questions, Willingness to initiate tasks and perform duties with limited direction", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE We’re purpose-driven. With every ride, we aim to redefine health and happiness. It’s all about being more than a workout: SoulCycle is a mind-body-soul experience, built on community, love, respect, acceptance, and a lot of fun. It comes to life through the ride, the relationships, and the unparalleled hospitality. And all of that comes from our people. Join us—we’d love to have you. OUR MISSION To foster an open, diverse, & inclusive community – while embracing each unique individual exactly as they are. We empower each other by listening with an open mind, finding ways to learn and grow together, and always nurturing a sanctuary of trust. SoulCycle is seeking a sharp, curious data professional with a passion for turning numbers into narratives and insights into action. If you have a strong foundation in analytics and business intelligence, a deep comfort with SQL, and the ability to move fluidly between data infrastructure and executive-level storytelling, we'd love to hear from you. The Senior Analyst / Manager will be the connective tissue between our data systems and the decisions that drive our business forward. This role is equally focused on the technical work of building and maintaining reliable, scalable data models and dashboards, and the strategic work of surfacing trends, patterns, and opportunities that help SoulCycle make smarter, faster decisions. The ability to own an analysis end-to-end, from pulling the data to presenting the \"so what,\" is essential. The ideal candidate is a proactive, detail-obsessed problem-solver who thrives in ambiguity and knows how to prioritize competing demands without losing rigor or quality. This is a high-impact, high-visibility role that touches every team at SoulCycle, and the right person will be energized by that breadth, not overwhelmed by it. This individual will develop deep expertise in SoulCycle's full data landscape, contribute to our long-term data strategy, and help build a culture of data-driven decision-making across the organization, all while staying close to the day-to-day analytical needs of a fast-moving business. RESPONSIBILITIES * Insights & Recommendations: Partner with cross-functional teams and senior stakeholders to understand business questions, deliver timely analysis, and surface opportunities for data-driven improvement * Visualizations & Dashboarding: Design and maintain ad-hoc and recurring Looker reports; build and monitor key business metrics; proactively identify trends and performance gaps * Data Modeling: Build, optimize, and document LookML models that support scalable, efficient analysis across the organization * Infrastructure & Data Quality: Audit existing dashboards and data sources to identify consolidation opportunities; diagnose and resolve data discrepancies; partner with the Data Engineering team to improve data pipelines and ensure reporting accuracy. Possess a strong instinct for when data doesn't look right and the analytical rigor to trace issues back to their source. * Predictive Modeling: Develop and maintain models that forecast business outcomes, customer behavior, and other key metrics * Subject Matter Expertise: Develop deep familiarity with SoulCycle's full data landscape and contribute to evolving how the business measures performance ## Qualifications * 4 to 6 years of professional experience in analytics, business intelligence, or data engineering * Expert in SQL; proficiency in Python (pandas, matplotlib, etc.) strongly preferred * Hands-on experience with Looker/LookML; familiarity with Tableau, Jupyter Notebooks, and GCP/AWS * Experience with predictive modeling or statistical analysis (regression, forecasting) a plus * Ability to work independently and manage multiple priorities in a fast-paced environment * Strong communicator: able to translate complex data into clear recommendations for both technical and non-technical audiences * Exceptional attention to detail and organizational skills * Creative problem-solver who thrives on ambiguous questions * Willingness to initiate tasks and perform duties with limited direction JOINING THE SOULCYCLE FAMILY As a member of the SoulCycle family, you will enjoy: * Competitive salary, benefits, and perks/discounts at SoulCycle * Unlimited complimentary rides at all SoulCycle locations * Growth, leadership, and professional development opportunities The salary range for this position is $100K to $110K. ## Additional Information The responsibilities and duties of this position described here are representative of those an employee must perform. This is not a comprehensive list and other duties may be assigned.", "summaryDescription" : "Senior Analyst / Manager of Data & Analytics at Equinox. Skills: Data & Analytics, Business Intelligence, Data Modeling, Storytelling. Understand business questions. Deliver timely analysis", "postedDate" : "2026-06-15T13:17:44.000", "createdAt" : "2026-06-15T21:41:34.690", "lastUpdated" : "2026-06-16T05:40:25.996", "ingestTimestamp" : "2026-06-15T21:41:34.690", "mongoId" : "6a30503ff292fd229ceedf3c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100000, "salaryAnnualMax" : 110000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Dashboarding", "Predictive modeling", "Statistical analysis", "Data pipelines", "Curious", "Problem-solver", "Data & Analytics", "Business Intelligence", "Data Modeling", "Storytelling", "Business intelligence", "Data analysis", "Data storytelling", "Executive-level storytelling", "Manage multiple priorities", "Business performance measurement", "Looker", "LookML", "Tableau", "Jupyter Notebooks" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports & Fitness", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305641f292fd229cf26560", "title" : "Program Manager, Operational Excellence", "company" : "Delivery Hero", "industry" : "Internet", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "MYR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Program Manager in E-Commerce in Kuala Lumpur, Malaysia, adjusted for company size and industry." }, "location" : "Kuala Lumpur, MY", "locations" : [ "Kuala Lumpur", "MY" ], "timestamp" : "2026-06-16T10:12:28.364", "fingerprint" : "c6f39590d393593dc03a250ddb2b75f0eeaf3cc16eb50145944fab01a8fb347a", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/DeliveryHero/744000131576307-program-manager-operational-excellence", "externalId" : "744000131576307", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kuala Lumpur", "country" : "Malaysia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "3.1516964,101.6942371" } ], "locationText" : "Kuala Lumpur, Malaysia", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, BigQuery", "professionalSkills" : [ "Strategic Thinking", "Change management", "Data analysis" ], "hardSkillsList" : [ "Fraud detection" ], "hardSkills" : [ { "name" : "Fraud detection", "level" : "intermediate" } ], "majorSkills" : "Operational Excellence, Program Management, Continuous Improvement", "majorSkillsList" : [ "Operational Excellence", "Program Management", "Continuous Improvement" ], "coreResponsibilities" : "Lead program planning, Assist in program planning, Lead program execution, Assist in program execution, Lead program monitoring, Assist in program monitoring, Manage program timelines, Manage program risks, Manage program resources, Define program goals, Contribute to program goals, Define program milestones, Contribute to program milestones, Define success criteria, Contribute to success criteria, Identify areas for operational improvement, Apply best practices to streamline processes, Elevate customer experiences, Facilitate rollout of new product, Facilitate rollout of new tools, Drive efficiency, Optimize costs, Optimize experience, Define operational KPIs, Track operational KPIs, Report on operational KPIs, Use data insights to monitor success, Use data insights to identify vulnerabilities, Use data insights to strategize improvement actions, Act as representative for cross-functional teams, Translate operational insights into recommendations, Lead change management processes, Assist in change management processes, Engage stakeholders to drive buy-in, Monitor feedback, Work closely with leadership, Foster a collaborative culture, Provide guidance to direct reports, Provide mentorship to direct reports, Provide feedback to direct reports, Help direct reports navigate complex projects, Promote professional growth of direct reports, Provide guidance to team members, Provide mentorship to team members, Provide feedback to team members, Help team members navigate complex projects, Promote professional growth of team members, Lead post-implementation reviews, Lead lessons learned, Integrate insights into future roadmaps, Track success of initiatives, Report on program performance, Identify opportunities for improvement, Ensure KPIs align with business objectives, Ensure outcomes align with business objectives, Contribute to post-implementation reviews, Contribute to lessons learned", "teamCollaboration" : "Cross-functional teams; Product teams; Data teams; Engineering teams", "projectManagementSkills" : [ "Program management", "Change management" ], "domainKnowledge" : "Service operations; Customer experience; Process improvement; High transaction-volume environment; E-commerce; On-demand logistics; Fintech; Payments", "domainList" : [ "service-operations", "customer-experience", "process-improvement", "high-transaction-volume-environment", "e-commerce", "on-demand-logistics", "fintech", "payments" ], "domainSpecificKnowledge" : [ "Service operations", "Customer experience", "Process improvement", "High transaction-volume environment", "E-commerce", "On-demand logistics", "Fintech", "Payments" ], "communicationSkills" : "Stakeholder engagement; Business recommendations", "problemSolvingSkills" : "Strategic problem-solving; Creative problem-solving", "outcomesObjectives" : "Ensure objectives are met on time; Ensure objectives are met within budget; Support organizational alignment across regions; Drive efficiency; Optimize costs; Optimize experience; Achieve common goals", "qualificationsBasic" : "More than 2 years in service operations, More than 2 years in customer experience program, More than 2 years in process improvement, More than 2 years in analytics, Experience in high transaction-volume environment, Demonstrated ability to design scalable frameworks, Demonstrated ability to implement scalable frameworks, Mastery of program management frameworks, Mastery of change management tools, Problem-solving skills, Hands-on operational mindset, Willingness to perform immediate risk mitigation, Excellent communication skills, Ability to engage stakeholders at all levels, Ability to align stakeholders at all levels, Demonstrated ability to work collaboratively with Product teams, Demonstrated ability to work collaboratively with Data teams, Demonstrated ability to work collaboratively with Engineering teams", "qualificationsPreferred" : "Proficiency in SQL is a plus, Proficiency in BigQuery is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "foodpanda is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. 1. Program Management & Strategic Execution * Program Planning & Delivery: Lead and assist in the planning, execution, and monitoring of high-impact compensation programs designed to drive service and operational improvements. This includes managing program timelines, risks, and resources to ensure objectives are met on time and within budget. * Goal Alignment: Define and contribute to clear program goals, milestones, and success criteria, ensuring all initiatives align with the broader business strategy and support organizational alignment across regions. 2. Service Operations & Optimization * Continuous Improvement: Identify areas for operational improvement by applying best practices to streamline internal processes and elevate customer experiences * Digital Tools & Automation: Facilitate the rollout of new product and tools to improve service delivery, ensuring solutions meet local market needs while driving efficiency and optimising costs and experience. * Data-Driven Governance: Define, track, and report on operational KPIs. Use data insights to monitor initiative success, identify systemic vulnerabilities, and strategize improvement actions. 3. Strategic Influence & Cross-Functional Partnership * Stakeholder Engagement: Act as a representative for cross-functional teams, translating operational insights into actionable business recommendations for leadership. * Change Management: Lead and assist in change management processes to ensure smooth transitions as new methods, product features, and service models are adopted. Engage stakeholders to drive buy-in and monitor feedback to ensure continuous progress. * Team Development: Work closely with leadership to foster a collaborative culture of continuous improvement. Provide guidance, mentorship, and feedback to help direct reports or team members to navigate complex projects and promote their professional growth. * Strategic Reviews: Lead post-implementation reviews and \"lessons learned\" to integrate insights into future operational roadmaps 4. Performance Tracking and Reporting * Track the success of operational excellence initiatives using data-driven metrics and analytics. * Responsible for reporting on program performance, identifying opportunities for improvement and ensuring that KPIs and outcomes are aligned with business objectives. * Contribute to post-implementation reviews and lessons learned, ensuring that insights are integrated into future programs. ## Qualifications * Experience: more than 2 years in service operations, customer experience program, process improvement or analytics in a high transaction-volume environment (e-commerce, on-demand logistics, fintech, payments). * Strategic Thinking: Demonstrated ability to design and implement scalable frameworks. * Strong mastery of program management frameworks and change management tools to drive organisational shifts. * Strong problem-solving skills, with the ability to approach challenges strategically and creatively, and a hands-on operational mindset with a willingness to perform immediate risk mitigation. * Strong understanding of data analysis and fraud detection logic; proficiency in SQL or BigQuery is a plus. * Excellent communication skills, with the ability to engage and align stakeholders at all levels. * Demonstrated ability to work collaboratively with Product, Data, and Engineering teams. to achieve common goals.", "summaryDescription" : "Program Manager, Operational Excellence at Delivery Hero. Skills: Operational Excellence, Program Management, Continuous Improvement. Lead program planning. Assist in program planning", "postedDate" : "2026-06-11T01:47:36.000", "createdAt" : "2026-06-15T23:45:13.119", "lastUpdated" : "2026-06-16T10:12:28.364", "ingestTimestamp" : "2026-06-15T23:45:13.119", "mongoId" : "6a305641f292fd229cf26560", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Fraud detection", "Operational Excellence", "Program Management", "Continuous Improvement", "Strategic Thinking", "Change management", "Data analysis", "Program management", "Service operations", "Customer experience", "Process improvement", "High transaction-volume environment", "E-commerce", "On-demand logistics", "Fintech", "Payments" ], "skillCount" : 16, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 5, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305107f292fd229cef8636", "title" : "Senior Consultant - Data & Analytics", "company" : "Highspring", "industry" : "Consulting", "salary" : { "min" : 76194.0, "max" : 122981.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "McLean, VA", "locations" : [ "McLean", "VA" ], "timestamp" : "2026-06-16T08:45:12.907", "fingerprint" : "48c6a72cd2c3f1a1df0dd91bf98ef6f2d6f263ec75503e10784e231524514c6b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.highspring.com/about/careers/job-details?gh_jid=8003443", "externalId" : "8003443", "industryFunction" : { }, "structuredLocations" : [ { "city" : "McLean", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9366852,-77.1858430" } ], "locationText" : "McLean, Virginia, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Snowflake, Databricks, Redshift, Power BI, Tableau, Sigma, Codex, Claude Code, Cursor", "professionalSkills" : [ "Data strategy", "Data engineering", "Analytics", "Transformation", "Data modeling", "Data pipelines", "Reporting", "Visualization", "Decision-making", "Client communication", "Project management", "Technical execution", "Solution design", "Code quality", "System implementations", "Migrations", "Modernization" ], "hardSkillsList" : [ "Data warehousing", "Data analysis", "Pipeline development", "Dashboard creation", "Report generation", "Code generation", "Code testing", "Code iteration" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Pipeline development", "level" : "intermediate" }, { "name" : "Dashboard creation", "level" : "intermediate" }, { "name" : "Report generation", "level" : "intermediate" }, { "name" : "Code generation", "level" : "intermediate" }, { "name" : "Code testing", "level" : "intermediate" }, { "name" : "Code iteration", "level" : "intermediate" } ], "majorSkills" : "Data Warehousing, Data Pipelines, Analytics Solutions, Cloud Platforms", "majorSkillsList" : [ "Data Warehousing", "Data Pipelines", "Analytics Solutions", "Cloud Platforms" ], "coreResponsibilities" : "Design modern data warehouses, Build modern data warehouses, Develop scalable data pipelines, Develop reliable data pipelines, Implement analytics solutions, Implement reporting solutions, Implement visualization solutions, Translate complex data into actionable insights, Partner with client teams, Understand business objectives, Understand data challenges, Understand success metrics, Manage discrete project workstreams, Balance technical execution, Balance client communication, Balance delivery timelines, Present findings, Present recommendations, Present solution designs, Leverage AI-assisted development environments, Design analytics code, Generate analytics code, Test analytics code, Iterate analytics code, Design data engineering code, Generate data engineering code, Test data engineering code, Iterate data engineering code, Support data transformation initiatives, Support system implementations, Support migrations, Support modernization efforts, Participate in knowledge sharing, Participate in mentoring, Participate in career development", "teamCollaboration" : "Client teams; Cross-functional teams", "projectManagementSkills" : [ "Workstream management", "Prioritize tasks", "Delivery timelines" ], "domainKnowledge" : "Data strategy; Data engineering; Analytics; Data transformation; Data warehousing; Data models; Data pipelines; Cloud-native environments; Data architectures; Analytics solutions; Data engineering best practices; Analytics best practices; Version control; Collaborative development; Iterative delivery; Enterprise data transformation", "domainList" : [ "data-strategy", "data-engineering", "analytics", "data-transformation", "data-warehousing", "data-models", "data-pipelines", "cloud-native-environments", "data-architectures", "analytics-solutions", "data-engineering-best-practices", "analytics-best-practices", "version-control", "collaborative-development", "iterative-delivery", "enterprise-data-transformation" ], "domainSpecificKnowledge" : [ "Data strategy", "Data engineering", "Analytics", "Data transformation", "Data warehousing", "Data models", "Data pipelines", "Cloud-native environments", "Data architectures", "Analytics solutions", "Data engineering best practices", "Analytics best practices", "Version control", "Collaborative development", "Iterative delivery", "Enterprise data transformation" ], "toolProficiency" : [ "Snowflake", "Databricks", "Redshift", "Power BI", "Tableau", "Sigma", "Codex", "Claude Code", "Cursor" ], "communicationSkills" : "Client engagement; Stakeholder engagement; Present findings; Present recommendations; Present solution designs", "continuousLearning" : "Continuous learning; Learning new tools; Learning new platforms; Learning analytics techniques", "problemSolvingSkills" : "Problem solvers; Solve complex client challenges", "specialRequirements" : "Flexibility for travel", "outcomesObjectives" : "Deliver real value; Make a true impact; Enable better decision-making", "qualificationsBasic" : "Bachelor's degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related field, 2+ years of relevant experience delivering data, analytics, or data engineering solutions in a consulting or project-based environment, Proficiency in SQL and Python for data transformation, analysis, and pipeline development, Hands-on experience with cloud-based data platforms such as Snowflake, Databricks, Redshift, or similar technologies, Experience building dashboards and reports using BI tools such as Power BI, Tableau, Sigma, or equivalent, Experience working in AI-assisted development environments (e.g., Codex, Claude Code, Cursor) to accelerate and improve code quality, Demonstrated ability to manage workstreams, prioritize tasks, and deliver high-quality, client-facing solutions under tight timelines, Communication skills and comfort engaging with client stakeholders at varying levels of technical depth, Ability to work independently while collaborating effectively within cross-functional teams", "qualificationsPreferred" : "Experience designing data architectures and analytics solutions in cloud-native environments, Familiarity with modern data engineering and analytics best practices, including version control and collaborative development workflows, Exposure to Agile or other iterative delivery methodologies, Experience supporting enterprise data transformation initiatives across finance, operations, or other core business functions, A demonstrated interest in continuously learning new tools, platforms, and analytics techniques", "rawDescription" : "Transform Your Career We deliver unparalleled opportunities for growth and career advancement. Our dynamic, entrepreneurial culture supports your journey every step of the way. Embrace new challenges and deliver real value to some of the world’s most influential Fortune 100 brands, growth companies transforming their industries, and mid-market firms that need help navigating the defining moments of their lifecycle. Work side by side with business leaders to solve complex client challenges and make a true impact. Love what you do as part of a diverse organization committed to collaboration and continuous learning. The Team – Data & Analytics Our Data & Analytics practice is comprised of functional and technical experts across data strategy, data engineering, analytics, and transformation. We help clients maximize the value of their data by designing modern data platforms, building scalable pipelines, and delivering analytics and reporting solutions that enable better decision-making. Our consultants are hands-on problem solvers who partner closely with clients in fast-paced, project-based environments. Your Impact As a Senior Consultant, Data & Analytics, you will: Design and build modern data warehouses and analytics-ready data models Develop scalable, reliable data pipelines using cloud-based data platforms Implement analytics, reporting, and visualization solutions that translate complex data into clear, actionable insights for client stakeholders Partner with client teams to understand business objectives, data challenges, and success metrics through interviews and working sessions Manage discrete project workstreams, balancing technical execution with client communication and delivery timelines Present findings, recommendations, and solution designs to both technical and non-technical audiences Leverage AI-assisted development environments to design, generate, test, and iterate on production-quality analytics and data engineering code Support broader data transformation initiatives, including system implementations, migrations, and modernization efforts Actively participate in internal knowledge sharing, mentoring, and career development activities At a Minimum, You Will Have: Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related field 2+ years of relevant experience delivering data, analytics, or data engineering solutions in a consulting or project-based environment Strong proficiency in SQL and Python for data transformation, analysis, and pipeline development Hands-on experience with cloud-based data platforms such as Snowflake, Databricks, Redshift, or similar technologies Experience building dashboards and reports using BI tools such as Power BI, Tableau, Sigma, or equivalent Experience working in AI-assisted development environments (e.g., Codex, Claude Code, Cursor) to accelerate and improve code quality Demonstrated ability to manage workstreams, prioritize tasks, and deliver high-quality, client-facing solutions under tight timelines Strong communication skills and comfort engaging with client stakeholders at varying levels of technical depth Ability to work independently while collaborating effectively within cross-functional teams Flexibility for travel, as needed Preferably, You Will Have: Experience designing data architectures and analytics solutions in cloud-native environments Familiarity with modern data engineering and analytics best practices, including version control and collaborative development workflows Exposure to Agile or other iterative delivery methodologies Experience supporting enterprise data transformation initiatives across finance, operations, or other core business functions A demonstrated interest in continuously learning new tools, platforms, and analytics techniques Determining compensation for this role (and others) at Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law, Highspring believes that the following salary range reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure to be between the range below. The individual may also be eligible for a variety of bonus and financial incentives based on individual and company performance. Base Compensation Range $76,194—$122,981 USD", "summaryDescription" : "Senior Consultant - Data & Analytics at Highspring. Skills: Data Warehousing, Data Pipelines, Analytics Solutions, Cloud Platforms. Design modern data warehouses. Build modern data warehouses", "postedDate" : "2026-06-15T23:15:28.137", "createdAt" : "2026-06-15T23:15:28.137", "lastUpdated" : "2026-06-16T08:45:12.907", "ingestTimestamp" : "2026-06-15T23:15:28.137", "mongoId" : "6a305107f292fd229cef8636", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 76194, "salaryAnnualMax" : 122981, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data warehousing", "Data analysis", "Pipeline development", "Dashboard creation", "Report generation", "Code generation", "Code testing", "Code iteration", "Data Warehousing", "Data Pipelines", "Analytics Solutions", "Cloud Platforms", "Data strategy", "Data engineering", "Analytics", "Transformation", "Data modeling", "Data pipelines", "Reporting", "Visualization", "Decision-making", "Client communication", "Project management", "Technical execution", "Solution design", "Code quality", "System implementations", "Migrations", "Modernization", "Workstream management", "Prioritize tasks", "Delivery timelines", "Data transformation", "Data models", "Cloud-native environments", "Data architectures", "Analytics solutions", "Data engineering best practices", "Analytics best practices", "Version control", "Collaborative development", "Iterative delivery", "Enterprise data transformation", "Snowflake", "Databricks", "Redshift", "Power BI", "Tableau", "Sigma", "Codex", "Claude Code", "Cursor" ], "skillCount" : 52, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.98 }, { "id" : "69d5e4952beec4dd3d931827", "title" : "Data Solutions Lead Manager, Data Collection Excellence", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Technical, Technical Account Management, Artificial Intelligence", "salary" : { "min" : 81000.0, "max" : 141800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T07:48:53.979", "fingerprint" : "a6512bda53920a87bc9db62d17b33c5441b86149dd6787100e1b62057412e484", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385651/apply", "externalId" : "e8b97dba-f23f-4f14-a1d5-5d45573c8d1c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceLevel" : "Manager", "softSkillsList" : [ "Leadership" ], "softSkills" : [ { "name" : "Leadership" } ], "coreResponsibilities" : "Manage and monitor team performance, Create a culture of ownership, Act as an SME Manager, Gain deep domain knowledge, Own global program improvement initiatives, Coordinate across global teams, Influence stakeholders, Ensure effective and expedient delivery, Monitor and optimize collection health metrics, Ensure customer success, Drive customer adoption, Provide technical value, Provide exemplary customer experience, Act as escalation point, Assist senior level customers, Collaborate with product teams, Collaborate with technology teams, Implement effective long term solutions, Consolidate customer feedback, Translate feedback into improvement initiatives", "teamCollaboration" : "Global teams; Product teams; Technology teams", "projectManagementSkills" : [ "Resource planning", "Managing schedules", "Reporting project status", "Prioritizing tasks" ], "domainKnowledge" : "Data collection for AI; ML/Gen AI data collections", "domainList" : [ "data-collection-for-ai", "ml-gen-ai-data-collections" ], "domainSpecificKnowledge" : [ "Data collection for AI", "ML/Gen AI data collections" ], "qualificationsBasic" : "5+ years people management, Experience in project management", "qualificationsPreferred" : "Bachelor's degree in Computer Science, 2+ years technical support experience, Experience in leadership positions, Experience in account management positions", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about bridging the gap between technical ML solutions and customer success? Do you thrive providing consultation in an ambiguous environment, all while building customer partnerships? Do you enjoy leading dynamic and fast paced teams with global impact? We're looking for a Data Solutions Lead Managers to join our growing team! About the Role: As a Data Solutions Lead Manager, you will manage a team of Data Collection owners who provide expert consultation on ML/Gen AI data collections and own execution from start to finish. You'll drive business value by providing regular feedback and ensuring your team is working efficiently, manage active escalations and help them build long standing partnerships with customers. If necessary you will have the technical capability to step in and take control of high priority or challenging collections, delighting our customers and deliver meaningful change for the models that back them. Key job responsibilities Manage and monitor your teams performance, creating a culture of ownership in ambiguous situations Act as an SME Manager, gaining deep domain knowledge in the field of data collection for AI and relevant products Own global program improvement initiatives for the Data Collection Excellence Organization Coordinate across global teams, influencing stakeholders to ensure effective and expedient delivery Monitor and optimize collection health metrics to ensure customer success Drive customer adoption through providing technical value and the provision of an exemplary customer experience. You'll also: Act as an escalation point for challenging data collections, directly assisting senior level customers and your team. Collaborate with product and technology teams to implement effective long term solutions Consolidate customer feedback and translate it into improvement initiatives Basic Qualifications: - 5+ years of people management experience - Experience in project management including resource planning, managing schedules, reporting project status and prioritizing tasks Preferred Qualifications: - Bachelor's degree in Computer Science, Business or a related field - 2+ years of technical support experience, or experience in leadership or account management positions Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, BELLEVUE - 81,000.00 - 141,800.00 USD annually", "summaryDescription" : "Data Solutions Lead Manager, Data Collection Excellence at Amazon.com Services LLC. Manage and monitor team performance. Create a culture of ownership", "postedDate" : "2026-06-13T17:46:51.723", "createdAt" : "2026-06-13T17:46:51.723", "lastUpdated" : "2026-06-15T07:48:53.979", "ingestTimestamp" : "2026-06-13T17:46:51.723", "mongoId" : "69d5e4952beec4dd3d931827", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385651/apply", "salaryAnnualMin" : 81000, "salaryAnnualMax" : 141800, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Leadership", "Resource planning", "Managing schedules", "Reporting project status", "Prioritizing tasks", "Data collection for AI", "ML/Gen AI data collections" ], "skillCount" : 7, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69fc49a74c40e2acd1a833f8", "title" : "Operations Data & Reporting Associate", "company" : "Hyundai Capital Canada", "industry" : "FinTech", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Operations Data & Reporting Associate in Toronto, Canada, within the Financial Services industry, adjusted for company size and full-time employment." }, "location" : "Canada-Ontario-Toronto", "locations" : [ "Canada-Ontario-Toronto" ], "timestamp" : "2026-06-16T05:40:41.006", "fingerprint" : "9ad0de56bdc61bc6a469800c3617265418c3a4bdf98dd95254f96cd6c67f8f29", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=114884", "externalId" : "114884", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, SAS, Python, Salesforce, AWS", "professionalSkills" : [ "Data analysis", "Reporting", "Business analytics", "Process improvement", "Automation" ], "hardSkillsList" : [ "Data analysis", "SQL", "SAS", "Tableau", "Excel", "PowerPoint", "Word", "Statistical analysis", "Data visualization" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "SAS", "level" : "intermediate" }, { "name" : "Tableau", "level" : "intermediate" }, { "name" : "Excel", "level" : "intermediate" }, { "name" : "PowerPoint", "level" : "intermediate" }, { "name" : "Word", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Reporting, SQL, Tableau", "majorSkillsList" : [ "Data analysis", "Reporting", "SQL", "Tableau" ], "coreResponsibilities" : "Prepare monthly reporting for HQ, Monitor key metrics, Develop and manage dashboards, Analyze and interpret large datasets, Leverage visualization and data analysis, Drive transformation and automation, Develop and optimize SQL codes, Develop and optimize SAS codes, Automate manual reporting, Support design of operational reports, Support strengthening of operational reports, Design business analytics dashboards, Develop business analytics dashboards, Deploy business analytics dashboards, Design operational reports, Develop operational reports, Deploy operational reports, Convert raw data into dashboards, Convert raw data into reports, Analyze large data sets, Uncover trends, Uncover automation opportunities, Uncover process improvements, Uncover insights, Assist with data quality assessment, Assist with data clean-up, Assist with data mapping, Assist Manager in UAT testing, Perform other duties as assigned", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Credit operations; Funding operations; Customer care operations; Collection operations; Back office operations", "domainList" : [ "credit-operations", "funding-operations", "customer-care-operations", "collection-operations", "back-office-operations" ], "domainSpecificKnowledge" : [ "Credit operations", "Funding operations", "Customer care operations", "Collection operations", "Back office operations" ], "toolProficiency" : [ "SQL", "SAS", "Tableau", "Excel", "PowerPoint", "Word", "Salesforce", "Rapid Miner", "AWS" ], "communicationSkills" : "Verbal communication; Written communication", "continuousLearning" : "Learn business applications", "innovationCreativity" : "Automation opportunities; Process improvements", "problemSolvingSkills" : "Problem solving; Analytical skills", "qualificationsBasic" : "2-3 years data analysis experience, SQL experience required, Tableau experience required, Bachelor's degree required", "qualificationsPreferred" : "SAS experience preferred, Python experience an asset, Salesforce experience an asset", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Who We Are: Hyundai Capital Canada (HCCA) is the Canadian captive finance business for Hyundai Motor Group. We go to market under the service brands Hyundai Motor Finance, Kia Finance and Genesis Finance. Through a network of over 450 Hyundai and Kia dealerships and 30 Genesis distributors nationwide, we provide indirect vehicle financing and leasing solutions to consumers and commercial customers. Employee Value Prop and Culture: Our employees contribute every day to a culture that is fast-paced, dynamic, energized, agile, and collaborative. From our employee programs to the unique design of our offices, we strive to create a connected, fun, positive, and rewarding workplace where employees feel appreciated, proud of their company, and deeply invested in HCCA’s success. Global One Company: Many countries. One identity. Hyundai Capital has offices around the world, including South Korea, the United States, China, the United Kingdom, Germany, and Brazil. Our work environments follow consistent themes that represent our global values: simplicity, collaboration, symmetry, and elements of nature. Position Details: This role will be responsible for delivering management reporting and analysis for the Operations department. As part of the reporting scope, you will prepare monthly reporting to headquarters and monitor key metrics across various Operational functions. You will proactively develop and manage dashboards by working closely with cross-functional teams to help them monitor performance easily. You will analyze and interpret large datasets and leverage visualization and data analysis to drive transformation and automation in the business. Duties and Responsibilities: Prepare monthly reporting requirements for HQ, which comprise of metrics for Credit, Funding, Customer Care, Collection, and back office operations. Develop and optimize various SQL and SAS codes of operation team to improve accuracy and clarity. Automate manual reporting to increase reporting efficiency when possible. Support the design and strengthening of operational reports and statistics. Design, develop, and deploy business analytics dashboards and operational reports using Tableau, Salesforce, or Excel to enable automated self-service productivity and performance reporting. Convert raw data into interactive, easy-to-understand dashboards and reports. Analyze large data sets using advanced statistical techniques and tools such as SAS, Rapid Miner, and task mining tool to uncover trends, automation opportunities, process improvements and insights. Assist with data quality assessment, data clean-up and data mapping from database tables to applications such as LOS, V8, CRM, and AWS. Assist Manager in UAT testing on automation projects such as RPA and eFunding or data projects. Perform all other duties as assigned. 2-3 years of experience in data analysis using SQL and Tableau. Education & Certification: Bachelor’s degree required in Computer Science, Business Analytics, Statistics or related field. Knowledge, Skills & Abilities: Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Excellent verbal and written communication skills. Advanced SQL skills and Tableau is a must Strong PC skills: Microsoft Word, Power Point, Excel. Experience with SAS is preferred. Ability to facilitate collaboration with diverse groups. Team oriented, but able to work independently and manage multiple tasks. Strong problem solving, analytical, organizational/planning skills. Experience with Python and Salesforce is an asset. Aptitude to learn business applications and to understand how that connects to the data. Willingness to work in a fast paced, frequently changing environment. Hyundai Capital Canada Inc. is committed to acknowledge applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. This posting is for an active, existing vacancy. Hyundai Capital Canada is currently hiring for this role and applications are being reviewed as part of a live recruitment process. Canada-Ontario-Toronto", "summaryDescription" : "Operations Data & Reporting Associate at Hyundai Capital Canada. Skills: Data analysis, Reporting, SQL, Tableau. Prepare monthly reporting for HQ. Monitor key metrics", "createdAt" : "2026-06-14T18:51:20.392", "lastUpdated" : "2026-06-16T05:40:41.006", "ingestTimestamp" : "2026-06-14T18:51:20.392", "mongoId" : "69fc49a74c40e2acd1a833f8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "SQL", "SAS", "Tableau", "Excel", "PowerPoint", "Word", "Statistical analysis", "Data visualization", "Reporting", "Business analytics", "Process improvement", "Automation", "Credit operations", "Funding operations", "Customer care operations", "Collection operations", "Back office operations", "Salesforce", "Rapid Miner", "AWS" ], "skillCount" : 21, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c941a74d8ee00a0989afc", "title" : "Senior Systems Analyst – Reporting & EDI Analytics", "company" : "ASSYST, Inc.", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Systems Analyst in the Healthcare industry in India, adjusted for seniority and full-time employment." }, "location" : "Client Location", "locations" : [ "Client Location" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T06:05:35.317", "fingerprint" : "529ec775ca0e3d08d2a7e329162a447a6dfb05db17f45c5ba1fd2fe68b99dab4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/assystinc/jobs/4272815009", "externalId" : "4272815009", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "onsite" } ], "locationText" : "", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Metabase, Superset, Qlik, MicroStrategy, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data engineering", "ML engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical methods", "Machine learning", "Data modelling" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Data modelling; Regression; Classification; Clustering; Time-series analysis; A/B testing; Causal inference; AWS services; GCP services; Azure services", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "data-modelling", "regression", "classification", "clustering", "time-series-analysis", "a-b-testing", "causal-inference", "aws-services", "gcp-services", "azure-services" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Data modelling", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "AWS services", "GCP services", "Azure services" ], "toolProficiency" : [ "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years experience, Bachelor's degree in Statistics, Bachelor's degree in Computer Science, Bachelor's degree in Mathematics, SQL proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow, Experience with Snowflake, Experience with BigQuery, Experience with Redshift, Experience with Databricks, Experience with dbt, Experience with Fivetran, Experience with Airflow, Experience with dbt Cloud, Experience with Delta Lake", "rawDescription" : "ASSYST is seeking an experienced Senior Systems Analyst – Reporting & EDI Analytics to support our client by designing, developing and maintaining complex reports, dashboards, data extracts and analytical solutions. This role is responsible for transforming business and operational data into actionable insights while supporting Electronic Data Interchange (EDI) analysis and data validation activities. The ideal candidate will have strong expertise in SQL, reporting tools, data analysis, dashboard development and healthcare-related data environments. Roles & Responsibilities: Design, develop, implement and maintain complex operational and federally mandated reports. Analyze reporting requirements and identify effective approaches for report generation, dashboard development and data extraction solutions. Develop complex SQL queries, stored procedures and data extraction processes using PostgreSQL and other database platforms. Create interactive reports and dashboards using Tableau, Power BI, or equivalent reporting tools. Identify opportunities to securely share and distribute data across internal and external stakeholders. Perform data analysis and interpretation to support management decision-making, policy development and operational reviews. Evaluate data quality and system functionality using database applications and analytical tools. Analyze business processes and translate reporting requirements into data-driven solutions, reports and dashboards. Collaborate with cross-functional teams in a fast-paced environment to deliver reporting and analytical solutions. Perform Medicaid 8001 Flat File validation and analysis. Review Member Person Index (MPI) records for SSN matching and Master Data Management (MDM) validation. Conduct HBX system error analysis, validate 1095-A and 1095-B files and reconcile Medicaid 8001 transactions. Support development, testing and EDI operations teams by analyzing, troubleshooting, testing and transmitting EDI files on a daily basis. Create data change requests to resolve consumer-reported and system-generated errors. Coordinate with technical and business teams to analyze error reports and perform root cause analysis for transaction rejections. Access and analyze application and database data to identify and resolve system issues. Ensure compliance with all security, change management, project governance and operational procedures. Required Skills & Qualifications: Required Experience: Minimum 5 years of experience in data extraction, data analysis, report generation and dashboard development. Minimum 5 years of experience developing complex SQL queries, stored procedures and custom reports within large-scale IT environments. Minimum 5 years of experience developing reports and dashboards using Tableau, Power BI, or similar reporting platforms. Minimum 2 years of experience translating business requirements into meaningful dashboards and data visualizations. Experience designing, implementing and maintaining reporting databases and data warehouses. Strong understanding of data modeling, data warehousing and ETL processes. Excellent analytical, problem-solving, communication and stakeholder management skills. Ability to manage multiple priorities and deliver results within tight deadlines. Preferred Qualifications: 8+ years of hands-on experience designing and developing complex SQL queries, stored procedures and reporting solutions. 4+ years of experience working with PostgreSQL databases for reporting and4+ years of experience developing advanced Tableau dashboards and analytical reports.. Extensive knowledge of data sources, data flow, system integrations and advanced reporting methodologies. Experience supporting health insurance marketplaces, healthcare organizations, or Health and Human Services programs. Hands-on experience with data visualization, report automation and advanced data analytics. Familiarity with web technologies such as HTML, CSS and JavaScript. Experience with programming languages such as Python, Java, or equivalent technologies. Knowledge of EDI transaction sets including 834, 820 and 999. Understanding of Medicaid and Qualified Health Plan (QHP) eligibility processes. Knowledge of EDI 834 enrollment transactions, including Adds, Terminations, Cancellations and Life Event processing. ASSYST is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law.", "summaryDescription" : "Senior Systems Analyst – Reporting & EDI Analytics at ASSYST, Inc.. Skills: Data science, Data engineering, Machine learning, Business intelligence", "postedDate" : "2026-06-14T18:34:38.882", "createdAt" : "2026-06-14T18:34:38.882", "lastUpdated" : "2026-06-16T06:05:35.317", "ingestTimestamp" : "2026-06-14T18:34:38.882", "mongoId" : "6a2c941a74d8ee00a0989afc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical methods", "Machine learning", "Data modelling", "Data science", "Data engineering", "Business intelligence", "ML engineering", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "AWS services", "GCP services", "Azure services", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "skillCount" : 56, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3051ccf292fd229cf06f05", "title" : "Manager - Analytics", "company" : "Glance", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager - Analytics in Bangalore, India, adjusted for the technology industry and company size." }, "location" : "Bangalore, Karnataka, India", "locations" : [ "Bangalore", "Karnataka", "India" ], "timestamp" : "2026-06-16T07:42:17.077", "fingerprint" : "baa5b03b4592b8424c3cd5750aa62b69c77846415fe485b6022b97405e16a04b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/glance/jobs/7984361", "externalId" : "7984361", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "experienceLevel" : "Manager", "rawDescription" : "Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery, where inspiration becomes something you can explore, feel, and shop in the moment. Its proprietary models, seamlessly integrated with Google’s most advanced AI platforms, Gemini and Imagen on Vertex AI, deliver hyper-realistic, deeply personal shopping experiences across categories such as fashion, beauty, travel, accessories, home décor, pets, and more. Designed to seamlessly integrate into everyday consumer technology, Glance AI reimagines the future of e-commerce with inspiration-led discovery and shopping. With an open architecture built for effortless adoption across hardware and software ecosystems, Glance AI is creating a platform that can become a staple in everyday consumer technology. It partners with the world’s leading smartphone makers, connected TV manufacturers, telecom providers, and global brands — meeting people where they are: on mobile, smart TVs, and brand websites. Through Glance AI’s rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Part of the InMobi Group, a global technology and advertising leader reaching over 2 billion devices and serving more than 30,000 enterprise brands worldwide, Glance AI is backed by Google, Jio Platforms, and Mithril Capital. What is the role about? Manager Analytics is an Individual Contributor role where you would be involved in identifying complex fuzzy problems, breaking them down into smaller parts and implementing creative, data-driven solutions. You would be responsible for defining, tracking and improving key metrics and communicating business trends to stakeholders. What will you be doing? You will model data in order to create reporting infrastructure/dashboards for business process management and data mining You will be closely working with the business/product teams to enable data driven decision making. You will execute quantitative analysis that translates data into actionable insights You will drive data driven decision making through the stakeholders You will influence new opportunities for business based on internal/ external data You will drive the team to adopt new and innovative ways of solving business problems What is expected out of you? Educational/ Work Qualifications Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 5+ Years of experience in advanced analytics, python scripting. Required abilities / competencies: Ability to breakdown any problem into components that can be collaboratively solved Ability to negotiate on the scope of the problem through business understanding Penchant for business and persistence to work with data to derive insights Experience in analyzing very large, complex, multi-dimensional data sets Ability to find innovative solutions to mitigate dependencies and risks for deliverables Ability to independently plan and execute deliveries Exceptional written and verbal communication skills Ability to multitask and work on a diverse range of requirements Technical capabilities: Expertise in SQL, Excel, other scripting languages (R, Python, etc.) Good background in statistical modelling and experience with statistical tools such as R, Python, Spark Working experience with BI tools(Power BI, Superset) \"Glance collects and processes personal data such as your name, contact details, resume and other information that may contain personal data for the purpose of processing your application. Glance utilizes Greenhouse, a third-party platform. Please review Greenhouse's Privacy Policy to understand how the data collected from you is processed and managed. By clicking on 'Submit Application', you acknowledge and agree to the above privacy terms. Should you have any privacy concerns, you may contact us through the details mentioned in your application confirmation email.\"", "summaryDescription" : "Manager - Analytics at Glance", "postedDate" : "2026-06-15T23:19:48.062", "createdAt" : "2026-06-15T23:19:48.062", "lastUpdated" : "2026-06-16T07:42:17.077", "ingestTimestamp" : "2026-06-15T23:19:48.062", "mongoId" : "6a3051ccf292fd229cf06f05", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30545ef292fd229cf17a42", "title" : "Manager Tax Reporting", "company" : "BDO", "industry" : "Accounting", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager Tax Reporting in Eindhoven, Netherlands, adjusted for the consulting industry and company size." }, "location" : "Eindhoven, NB, Netherlands", "locations" : [ "Eindhoven", "NB", "Netherlands" ], "certifications" : [ "Lidmaatschap NOB" ], "timestamp" : "2026-06-16T06:31:29.918", "fingerprint" : "07736be0db7defc99fed4952de98b2f62889d750d566fbbd9391ddc0ecd774ca", "source" : "smartrecruiters", "language" : "nl", "applyUrl" : "https://jobs.smartrecruiters.com/BDO4/744000132131681-manager-tax-reporting-", "externalId" : "744000132131681", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Eindhoven", "state" : "North Brabant", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.4392648,5.4786330" } ], "locationText" : "Eindhoven, North Brabant, Netherlands", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Tax accounting", "Tax compliance", "Advising" ], "hardSkillsList" : [ "Tax reporting" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Tax reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Tax reporting, Tax accounting", "majorSkillsList" : [ "Tax reporting", "Tax accounting" ], "coreResponsibilities" : "Manage tax reporting processes, Advise international companies, Manage client relationships, Make impact on transactions, Determine fiscal positions, Guide junior specialists, Contribute to practice development", "teamCollaboration" : "Work with partners; Work with colleagues; Work across disciplines", "domainKnowledge" : "International tax reporting", "domainList" : [ "international-tax-reporting" ], "domainSpecificKnowledge" : [ "International tax reporting" ], "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "Master's fiscaal recht, Master's fiscale economie, Lidmaatschap NOB, 5+ years experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Aandacht kunnen geven aan wat jij echt belangrijk vindt en zo het verschil maken. BDO International Tax Reporting Services is de plek waar jij dit samen met jouw collega’s doet. Zo houdt de praktijk zich bezig met tax compliance, tax accounting en daaraan verwante advisering aan internationaal opererende bedrijven. Hierbij maken wij gebruik van ons wereldwijde BDO netwerk. Als Manager Tax Reporting ben jij de specialist voor jouw klanten in hoogwaardige en effectieve tax accounting processen. Je hebt veel contact met klanten en weet dit om te zetten in een optimale relatie en daarbij impact te maken op tansacties en het vaststellen van fiscale posities. Verder zet jij jouw ervaring en leiderschap in bij het begeleiden van minder ervaren specialisten door je ervaring in te brengen. Je werkt intensief samen met partners en collega’s in alle functielagen en uit verschillende disciplines om samen de klanten optimaal te kunnen bedienen. Je levert een actieve bijdrage aan de verdere ontwikkeling van de internationale tax reporting praktijk in Nederland, maar ook over de grens. Hierbij maak je onderdeel uit van een grote landelijke praktijk en werk je vanuit regio Zuid. Daardoor zijn ontwikkeling en groei naar senior manager mogelijk en kun jij datgene doen waar jouw wensen en ambities liggen. Nú is jouw moment om een bijdrage te leveren. Een bijdrage waar klanten, onze maatschappij en de mensen om je heen echt iets aan hebben. Kom bij BDO. Samen met onze klanten en ruim 3.000 gedreven collega’s maken we impact. Met elkaar maken we deel uit van een wereldwijd netwerk. Midden in Strijp-S vind je veel cultuur, innovatie én ons Eindhovense kantoor. Hiervandaan werken circa 250 professionals. Zij omschrijven zichzelf als creatief, rustig en sportief. Over sportief gesproken: tijdens de jaarlijkse marathon van Eindhoven is er een eigen BDO-fanzone om de sporters aan te moedigen. Maar daarnaast kun je ook werken op een van onze andere kantoren in de regio. Hiermee voeg jij waarde toe Bij BDO hebben we oog voor wie jij bent. Wat jij kan. Waarin je als professional nog verder kunt groeien. Dat maakt ons dus vooral nieuwsgierig naar jou. Hoe zet jij bijvoorbeeld jouw overtuigingskracht en analytisch vermogen in als Manager Tax Reporting? Onder aan de streep is het ook belangrijk dat je beschikt over: * een afgeronde wo-master fiscaal recht of fiscale economie. * lidmaatschap voor de NOB. * minimaal 5 jaar ervaring. Echte waarde is meer dan geld Bij BDO kan je rekenen op een salaris dat past bij wat je doet én wat je kunt. Tel hierbij op: een mobiliteitsbudget. * 22 vakantiedagen + 10 flexdagen per kalenderjaar. Wil je nog meer vrije tijd? In overleg kun je extra flexdagen kopen. * invloed op de stappen die jij zet in jouw carrière. * een pensioenpremieregeling bij Nationale Nederlanden waar je 2% aan bijdraagt. Ook ben jij verzekerd voor een nabestaandenpensioen. Dit zijn nog maar de eerste 4 punten. Voor een compleet overzicht van de arbeidsvoorwaarden ga naar [werkenbijbdo.nl/arbeidsvoorwaarden](https://www.werkenbijbdo.nl/arbeidsvoorwaarden). Kom werken bij BDO en ga voor echte waarde Reageren op deze vacature? Natuurlijk. Heb jij eerst nog vragen? Marleen Maassen geeft je antwoord via + 31(0)40 269 8255 en/of [marleen.maassen@bdo.nl](mailto:marleen.maassen@bdo.nl). #LI-MM1", "summaryDescription" : "Manager Tax Reporting at BDO. Skills: Tax reporting, Tax accounting. Manage tax reporting processes. Advise international companies", "postedDate" : "2026-06-15T07:41:46.000", "createdAt" : "2026-06-15T23:34:10.332", "lastUpdated" : "2026-06-16T06:31:29.918", "ingestTimestamp" : "2026-06-15T23:34:10.332", "mongoId" : "6a30545ef292fd229cf17a42", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Tax reporting", "Leadership", "Tax accounting", "Tax compliance", "Advising", "International tax reporting", "Lidmaatschap NOB" ], "skillCount" : 7, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5e4274d8ee00a08e28b1", "title" : "Data Analytics Manager", "company" : "Bolt Technology", "industry" : "Technology", "salary" : { "min" : 55000.0, "max" : 80000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Analytics Manager in Tallinn, Estonia, adjusted for manager seniority and technology industry." }, "location" : "Tallinn, Estonia", "locations" : [ "Tallinn", "Estonia" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified" ], "timestamp" : "2026-06-15T00:12:40.133", "fingerprint" : "f595a5ea5e7db2de4bf5212e4e1e675a377b8035f36dc089f445f210cee16345", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://bolt.eu/en/careers/positions/8568325002?gh_jid=8568325002", "externalId" : "8568325002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tallinn", "country" : "Estonia", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "59.4372420,24.7572693" } ], "locationText" : "Tallinn, Estonia", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, Scala, Spark, dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, dbt Cloud, Delta Lake, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, S3, Glue, SageMaker, Athena, Vertex AI, Synapse, ML Studio", "professionalSkills" : [ "Billing processes", "Financial data", "Marketplace finances", "Tax reporting", "Payout reconciliation", "Audits", "Financial investigations", "Regulatory reporting", "Pricing logic", "Product lines" ], "hardSkillsList" : [ "Data modelling", "SQL optimization", "Financial reconciliation", "Regulatory compliance", "Process building" ], "softSkillsList" : [ "Leadership", "Intelligence", "Integrity" ], "hardSkills" : [ { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "SQL optimization", "level" : "intermediate" }, { "name" : "Financial reconciliation", "level" : "intermediate" }, { "name" : "Regulatory compliance", "level" : "intermediate" }, { "name" : "Process building", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Intelligence" }, { "name" : "Integrity" } ], "majorSkills" : "Data analytics, Billing systems, Financial data", "majorSkillsList" : [ "Data analytics", "Billing systems", "Financial data" ], "coreResponsibilities" : "Lead and develop a team of analysts, Set high technical standards, Coach analysts toward senior-level thinking, Own reliability and integrity of billing data models, Own reporting foundations, Own financial datasets, Serve as go-to person for finance data topics, Handle complex data requests, Drive platform-level regulatory reporting, Ensure billing data stays compliant, Build structured operational processes, Design models, Set technical standards, Solve production data reconciliation problems", "teamCollaboration" : "Work across Finance; Work across Fraud; Work across Payments; Work across Compliance; Work across Product; Work across Operations; Work with product teams; Work with engineering teams", "projectManagementSkills" : [ "Prioritisation frameworks" ], "domainKnowledge" : "Financial data; Billing systems; Regulatory reporting; Tax rules; Pricing logic; Product lines", "domainList" : [ "financial-data", "billing-systems", "regulatory-reporting", "tax-rules", "pricing-logic", "product-lines" ], "domainSpecificKnowledge" : [ "Financial data", "Billing systems", "Regulatory reporting", "Tax rules", "Pricing logic", "Product lines" ], "toolProficiency" : [ "SQL", "Python", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure" ], "communicationSkills" : "Stakeholder management", "continuousLearning" : "Accelerate professional growth; Unique career opportunities", "problemSolvingSkills" : "Problem structuring", "outcomesObjectives" : "Scale and improve billing processes; Make marketplace finances legible; Make marketplace finances trustworthy; Make marketplace finances actionable", "qualificationsBasic" : "Technical depth in SQL, Data modelling experience, Experience with financial data, Formal management experience a plus", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We are looking for an experienced Data Analytics Manager to join our Commerce team and help us scale and improve our billing processes across 50+ countries. About us Bolt is one of the fastest-growing tech companies in Europe and Africa, with over 200 million customers in 50+ countries. We’re a global team of more than 100 nationalities joined on a common mission – to make cities for people, not cars. And we need you to make it happen! About the role At our core, we enable commerce – and behind every transaction on our platform sits a complex web of financial data that needs to be accurate, compliant, and available to the people who depend on it. We're building the analytical foundations that make marketplace finances legible, trustworthy, and actionable at scale. As a Data Analytics Manager in Billing, you'll own the team responsible for making sense of how money moves through our platform. From marketplace financial data that powers decisions across the company, to platform-level metrics that measure operational health, to complex regulatory reporting like DAC7 – your team is the one others turn to when they need the numbers to be right. This is a hands-on leadership role. You'll manage a small team of analysts while still getting deep into the data yourself – designing models, setting technical standards, and solving the kinds of problems where production data needs to reconcile down to the cent with financial records. You'll work across Finance, Fraud, Payments, Compliance, Product, and Operations, often under pressure and with competing priorities. It's a role for someone who thrives in high-stakes, compliance-heavy environments and knows how to bring structure to chaos without losing speed. You'll sit in the Billing group within Commerce, alongside product and engineering teams building the systems your data describes. Your daily adventures will include: Leading and developing a team of analysts, setting high technical standards and coaching them toward senior-level thinking – not just in SQL, but in how to approach problems. Owning the reliability and integrity of billing-related data models, reporting foundations, and financial datasets used across the company. Serving as the go-to person for finance-related data topics across Commerce – tax reporting, payout reconciliation, audits, and financial investigations all land on your desk. Handling complex data requests from internal stakeholders (Finance, Ops, Product) and external counterparties, often with tight deadlines and high expectations. Driving platform-level regulatory reporting (e. g. DAC7) and ensuring billing data stays compliant as tax rules, pricing logic, and product lines evolve. Building structured operational processes – clear SLAs, prioritisation frameworks, and support workflows – so the team can deliver reliably without firefighting. About you: You have strong technical depth in SQL and data modelling, and you're recent enough with it to coach others and review their work critically. You've worked with financial data before – you know what an invoice is, you've chased cents across systems, and you understand what it means to map production data to financial records. You can handle noisy, high-pressure stakeholder environments where the deadline was yesterday and everyone's ask feels urgent. You've led projects or teams before – formal management experience is a plus, but what matters most is that you can set direction, uplift people, and hold a high bar. You think structurally about problems: you'd rather build the right data model than answer the same ad-hoc question three times. You're comfortable operating at the intersection of data, finance, and compliance – and you don't need someone to translate between those worlds for you. Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above! Why you’ll love it here: Play a direct role in shaping the future of mobility. Impact millions of customers and partners in 600+ cities across 50 countries. Work in fast-moving autonomous teams with some of the smartest people in the world. Accelerate your professional growth with unique career opportunities. Get a rewarding salary and stock option package that lets you focus on doing your best work. Enjoy the flexibility of working in a hybrid mode. Take care of your physical and mental health with our wellness perks. *Some perks may differ depending on your location. #LI-Hybrid", "summaryDescription" : "Data Analytics Manager at Bolt Technology. Skills: Data analytics, Billing systems, Financial data. Lead and develop a team of analysts. Set high technical standards", "postedDate" : "2026-06-12T21:44:00.837", "createdAt" : "2026-06-12T21:44:00.837", "lastUpdated" : "2026-06-15T00:12:40.133", "ingestTimestamp" : "2026-06-12T21:44:00.837", "mongoId" : "6a2c5e4274d8ee00a08e28b1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data modelling", "SQL optimization", "Financial reconciliation", "Regulatory compliance", "Process building", "Leadership", "Intelligence", "Integrity", "Data analytics", "Billing systems", "Financial data", "Billing processes", "Marketplace finances", "Tax reporting", "Payout reconciliation", "Audits", "Financial investigations", "Regulatory reporting", "Pricing logic", "Product lines", "Prioritisation frameworks", "Tax rules", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified", "SQL", "Python", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure" ], "skillCount" : 41, "jobCategory" : "other", "jobSubcategory" : "data-analytics", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a306b59f292fd229cfd01e4", "title" : "Manager Assurance Data & Analytics AI Tooling", "company" : "KPMG Nederland", "industry" : "Accounting", "salary" : { "min" : 5085.0, "max" : 5500.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Amstelveen, NH, Netherlands", "locations" : [ "Amstelveen", "NH", "Netherlands" ], "certifications" : [ "RA", "ACA", "CA", "CPA" ], "timestamp" : "2026-06-16T11:34:17.053", "fingerprint" : "b1019f3aea93ab5959265f209d128a26cf1b48435ff6fefb7f51d5ed69a7625e", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/KPMGNederland/744000132126431-manager-assurance-data-analytics-ai-tooling", "externalId" : "744000132126431", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amstelveen", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.2862177,4.8526493" } ], "locationText" : "Amstelveen, North Holland, Netherlands", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Data analytics, AI-driven tools", "professionalSkills" : [ "Risk assessment", "Audit methodology", "Business cases" ], "hardSkillsList" : [ "Transaction testing", "Data-driven risk assessments" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Transaction testing", "level" : "intermediate" }, { "name" : "Data-driven risk assessments", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "AI Tooling, Data Analytics, Audit", "majorSkillsList" : [ "AI Tooling", "Data Analytics", "Audit" ], "coreResponsibilities" : "Lead AI-driven audit analytics solutions, Shape how audit teams use data, Shape how audit teams use technology, Perform risk assessments at scale, Generate audit evidence at scale, Drive adoption of AI Transaction Scoring, Drive adoption of Clara AI, Act as product owner, Prioritize enhancements aligned with audit methodology, Support audit teams with technical guidance, Apply AI-driven risk assessment, Apply AI-driven outputs, Lead a team delivering insights, Lead a team delivering business cases, Coordinate global alignment, Coordinate SAT testing, Coordinate tool releases, Deploy AI tools effectively, Adopt AI tools effectively, Continuously improve AI tools, Support audit teams in applying advanced analytics, Perform full-population transaction testing, Perform data-driven risk assessments, Translate complex analytics outputs, Deliver business cases and insights, Develop team capabilities, Collaborate with KPMG Global, Collaborate with other member firms, Align on releases, Align on governance standards, Align on best practices, Oversee system acceptance testing, Coordinate issue resolution, Drive successful tool adoption, Provide training, Provide enablement initiatives", "teamCollaboration" : "Local teams; Global counterparts; Audit engagement teams; KPMG Global; Other member firms", "projectManagementSkills" : [ "SAT testing" ], "domainKnowledge" : "Audit methodology; Risk assessment", "domainList" : [ "audit-methodology", "risk-assessment" ], "domainSpecificKnowledge" : [ "Audit methodology", "Risk assessment" ], "toolProficiency" : [ "AI Transaction Scoring", "Clara AI" ], "communicationSkills" : "Delivering presentations", "continuousLearning" : "Personal development courses; Professional development courses", "qualificationsBasic" : "Qualified accountant (RA, ACA, CA, CPA), Audit background, Experience in risk assessment, Proven experience with data analytics, Proven experience with AI-driven tools, Experience in audit or assurance context, Stakeholder management skills, Excellent communication skills, Excellent leadership skills", "qualificationsPreferred" : "Command of Dutch", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "As Manager Assurance Data & Analytics AI Tooling in Amstelveen, you lead AI-driven audit analytics solutions, shaping how audit teams use data and technology to perform risk assessments and generate audit evidence at scale. Your challenges * Drive the adoption and effective use of AI Transaction Scoring and Clara AI within audit engagements. * Act as product owner, defining and prioritising enhancements aligned with audit methodology. * Support audit teams with technical guidance on AI-driven risk assessment and outputs. * Lead a team delivering high-quality insights and business cases from analytics tools. * Coordinate global alignment, SAT testing, and successful tool releases. As Manager Assurance Data & Analytics AI Tooling, you operate at the intersection of audit and technology within KPMG’s Digital Assurance & Innovation team. You act as the product owner and central coordinator for AI Transaction Scoring (AITS) and Clara AI, ensuring these tools are effectively deployed, adopted, and continuously improved across the audit practice. You work closely with audit engagement teams, supporting them in applying advanced analytics to perform full-population transaction testing and data-driven risk assessments. You are the primary point of contact for technical queries and play a key role in translating complex analytics outputs into actionable insights. In this role, you also lead a team responsible for delivering business cases and insights, ensuring high-quality outcomes and developing team capabilities. You collaborate with KPMG Global and other member firms, aligning on releases, governance standards, and best practices. Additionally, you oversee system acceptance testing (SAT), coordinate issue resolution, and help drive successful tool adoption through training and enablement initiatives. You will be part of a dynamic, innovation-driven environment within Digital Assurance & Innovation, where audit and technology come together to shape the future of the profession. About the team At KPMG’s Digital Assurance & Innovation (Daní), audit and technology converge in a dynamic, scale-up-like environment. The team develops innovative solutions that prepare the audit function for the future, combining business insight with cutting-edge technology to deliver value in new ways. ## Qualifications * Qualified accountant (e.g. RA, ACA, CA, CPA) with a strong audit background and experience in risk assessment. * Proven experience with data analytics or AI-driven tools within an audit or assurance context. * Strong stakeholder management skills, able to work with both local teams and global counterparts. * Excellent communication and leadership skills, comfortable leading teams and delivering presentations. * In addition to English, a strong command of Dutch would be advantageous in order to effectively collaborate with local audit teams and stakeholders across the internal teams. ## Additional Information * Gross salary between €5,085 and €5,500 per month depending on your work experience, variable performance based reward, a fixed expense allowance and a fixed working from home allowance per working day. * 30 vacation days (on a full-time basis) and the option to buy more days or sell your vacation days. * At KPMG we work hybrid, so you can work from home, from the client or at the office. * A completely furnished home office. * A lease car or a mobility budget. * A laptop and iPhones. * Choice to pick from different courses which contribute to your own personal and professional development. * Diversity networks in the areas of pride, gender, ability, cultural diversity, and generations that regularly organize various activities to celebrate differences! * Focus on well-being! There is a gym at the Amstelveen office or you can get a discount for a gym near your house and you get access to different health and/or vitality programs. * ‘Together’ is one of our core values. So you can count on different social activities, like team events, drinks with colleagues and events with all your KPMG colleagues", "summaryDescription" : "Manager Assurance Data & Analytics AI Tooling at KPMG Nederland. Skills: AI Tooling, Data Analytics, Audit. Lead AI-driven audit analytics solutions. Shape how audit teams use data", "postedDate" : "2026-06-15T07:22:59.000", "createdAt" : "2026-06-16T00:19:37.347", "lastUpdated" : "2026-06-16T11:34:17.053", "ingestTimestamp" : "2026-06-16T00:19:37.347", "mongoId" : "6a306b59f292fd229cfd01e4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Transaction testing", "Data-driven risk assessments", "Leadership", "AI Tooling", "Data Analytics", "Audit", "Risk assessment", "Audit methodology", "Business cases", "SAT testing", "RA", "ACA", "CA", "CPA", "AI Transaction Scoring", "Clara AI" ], "skillCount" : 16, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307baef292fd229c047577", "title" : "IRL Data Analytics - Consultant", "company" : "Deloitte", "industry" : "Computer Software", "salary" : { "min" : 450000.0, "max" : 650000.0, "currency" : "ZAR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Consultant in Midrand, South Africa, adjusted for the consulting industry and Deloitte's company size." }, "location" : "Midrand, GP, ZA", "locations" : [ "Midrand", "GP", "ZA" ], "timestamp" : "2026-06-16T10:55:19.734", "fingerprint" : "149867b14094f8bc148ab334a10d7bc4b8bf272788c052df88c6f786ee1c8078", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Deloitte6/744000132189125-africa-talent-by-deloitte-irl-data-analytics-consultant", "externalId" : "744000132189125", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Midrand", "state" : "Gauteng", "country" : "South Africa", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-25.9992620,28.1259120" } ], "locationText" : "Midrand, Gauteng, South Africa", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Data analytics, Data science, Machine learning, AI, Business intelligence, Analytics engineering, Quantitative analysis, SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data modelling", "Data architecture", "Data pipelines", "Risk assessment", "Business needs analysis" ], "hardSkillsList" : [ "Data analysis", "Data transformation", "Data modelling", "Data architecture", "Data pipelines", "Risk analysis", "Business insights" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "Data architecture", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Risk analysis", "level" : "intermediate" }, { "name" : "Business insights", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Machine learning, Data engineering, Business intelligence", "majorSkillsList" : [ "Data analytics", "Machine learning", "Data engineering", "Business intelligence" ], "coreResponsibilities" : "Apply data analytic techniques, Increase organisation's capacity to anticipate risk, Maximise business opportunities through data driven insights, Identify high priority risk areas, Explore risks using data analytics, Carry out data analysis, Gather initial requirements, Production deployment, Operations, Solve analytics challenges, Integrate analytics with enterprise-level solution development, Provide viable insights to clients, Manage data architectures, Build data architectures, Optimize data architectures, Convert data into relevant insights, Interpret data using data governance, Interpret data using data quality processes, Design data pipelines for data ingestion, Design data pipelines for data transformation, Ensure reconciliation of data, Ensure accuracy of data, Develop data modelling documentation, Develop architecture documentation, Provide technical trainings on data analytics standards, Provide technical trainings on data analytics procedures, Mentor junior colleagues, Communicate with technical stakeholders, Communicate with non-technical stakeholders, Understand business needs, Define business needs, Translate business needs to data science context, Contribute to design of analytical solutions, Contribute to development of analytical solutions, Respond to risks, Interact cohesively with team members, Be a buddy to new members", "teamCollaboration" : "Agile, collaborative environment; Partnering with stakeholders; Partnering with audit team; Partnering with data analytics consultants; Work with colleagues in South Africa; Work with colleagues in Europe", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Risk and control issues; Financial risk; Regulatory team", "domainList" : [ "risk-and-control-issues", "financial-risk", "regulatory-team" ], "domainSpecificKnowledge" : [ "Risk and control issues", "Financial risk", "Regulatory team" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "MLflow" ], "communicationSkills" : "Communicate technical concepts; Storytelling skills", "documentationSkills" : "Data modelling documentation; Architecture documentation", "continuousLearning" : "Personal learning and development", "innovationCreativity" : "Innovate; Deliver creative solutions", "problemSolvingSkills" : "Solve analytics challenges", "qualificationsBasic" : "Data analysis from requirements gathering to deployment, Communicate technical concepts to wide audience, Data transformation and modelling, Formulate conclusions and recommendations, SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Africa Talent Africa Talent by Deloitte (Africa Talent) is a standalone division of Deloitte, owned by Deloitte Africa and Deloitte Netherlands, based in South Africa. Our goal is to meet the growing demand for Talent in Africa and Europe; by recruiting and developing Talent throughout Sub Saharan Africa in order to service the diverse needs and to enable projects at our clients. Talent employed will have the full experience of Deloitte, while getting both international and local exposure to a diverse set of clients, working remotely from Africa. It will take advantage of the demographic reality of Africa as a future source of talent for both Africa and Europe and at its core, the goal is to create employment in Africa and invest in African talent. The ethos of our organisation is characterised by vision, purpose beyond profit and an appetite to innovate and deliver creative, high impact solutions to client challenges. Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration, and high performance. As the undisputed leader in professional services, Deloitte – Africa Talent - is where you will find unrivalled opportunities to succeed and realize your full potential. This new team is a true encapsulation of hybrid work whereby you gain access and exposure to learn from and engage with colleagues in South Africa and across Europe, while working virtually from your local Deloitte office, or from home. The learning consultant is key to the continued development of our Africa Talent Professionals and key to the value we add to making our clients responsible businesses. Being a quickly growing division also brings ample opportunities for personal growth in the role. What’s in it for you? • An ever dynamic and growing internal scaleup with a purpose • The stability and trustworthiness of a purpose driven global brand, ready to build your own future and add to Africa’s prosperity • Being the driver of Africa Talent’s day-to-day operations • A competitive package of benefits • A hybrid work environment with possibility to work at home some days • A driven and ambitious team that looks to you for making the team tick A member of the Data Analytics team, you will assist with applying data analytic techniques to increase an organisation’s capacity to anticipate risk and maximise business opportunities through data driven insights. Deloitte’s deep and thorough understanding of underlying risk and control issues, combined with our knowledge of technology and analytic skills, uniquely helps us to identify high priority risk areas in our client’s businesses and explore those risks using data analytics. Successful candidates will have demonstrated their ability to carry out data analysis from initial requirements gathering through to production deployment and operations. They would have communicated a deep interest in solving analytics challenges using many different techniques and technologies and have demonstrated their ongoing commitment to personal learning and development in this discipline. Excellent communication skills with demonstrated ability to clearly communicate technical concepts to a wide audience is a must. Expertise in data transformation and modelling analytic results, you’ll formulate conclusions and recommendations to client stakeholders, leveraging strong consulting, communication, visualization including storytelling skills. • Work in an agile, collaborative environment, partnering with other stakeholders including audit team and data analytics consultants to integrate the analytics with enterprise-level solution development with the aim of providing viable insights to clients. • Responsible for managing, building and optimizing data architectures and Convert into relevant insights using data analytics technologies and clear interpretations using data governance and data quality processes. • Design of data pipelines for data ingestion and data transformation and ensure the reconciliation and accuracy of the data • Development of data modelling and architecture documentation • Provide technical trainings on data analytics standards and procedures including mentorship to junior colleagues. • Communicate with technical and non-technical stakeholders to understand and define business needs and translate them to a data science context • Contribute to the design and development of analytical solutions in response to these risks. • A passion for continuously improving yourself and how we best solve our clients’ problems • Interact cohesively with other members of the Financial Risk & Regulatory team, including being a buddy to new members of the team. • Open and honest communication to understand what is required of you and how you and others can improve. • Contribute to the analysis and interpretation of data towards relevant communications to explain the value of the work completed. • Assist in identifying and collecting data from financial systems and other related data sources • Assist in assessing and determining the techniques and tools to be used in collection, analysis and communication for a project • Apply selected analytical techniques and tools to achieve project outcomes • Ability to effectively work in technical cross-functional teams • Provide expertise on data analytics and digital transformation • Ability to work independently and manage multiple tasks while maintaining project timelines • Understanding of ML and AI concepts and its applicability. • SAP experience an advantage. • Project management skills essential for this role. • Practical data engineering skillset is a basic requirement but fundamental domain experience in any field is a complimentary advantage ## Qualifications Are you someone with: • 2- 3 years experience with MS SQL Server and experience in visual communication of analysis (i.e. Tableau and Power BI) • Experience extracting and analysing data from complex data sets and systems • Strong attention to detail with a curiosity to understand data • Ability to thrive working in a team environment and serving clients with distinction • Ability to turn data into insights and communicate insights effectively with our clients • Ideally, experience in visual communication of analysis (e.g. Tableau, Qlik, Power BI) • Strong Knowledge of Excel and VBA ## Additional Information We are always interested in talking with professionals about their next career experience. If you have a passion for learning from talented people and benefit from the support of a global organization and network, apply online now. If you believe that you meet most of the criteria above, we encourage you to apply. Deloitte is an equal opportunities employer and will ensure any reasonable accommodations are implemented as part of the recruitment and selection process. Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive. Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements. Be careful of Recruitment Scams: Fraudsters or employment scammers often pose as legitimate recruiters, employers, recruitment consultants or job placement firms, advertising false job opportunities through email, text messages and WhatsApp messages. They aim to cheat jobseekers out of money or to steal personal information. To help you look out for potential recruitment scams, here are some Red Flags: * Upfront Payment Requests : Deloitte will never ask for any upfront payment for background checks, job training, or supplies. * Requests for Personal Information : Be wary if you are asked for sensitive personal information, especially early in the recruitment process and without a clear need for it. Fraudulent links or contractual documents may require the provision of sensitive personal data or copy documents (e.g., government issued numbers or identity documents, passports or passport numbers, bank account statements or numbers, parent’s data) that may be used for identity fraud. Do not provide or send any of these documents or data. Please note we will never ask for photographs at any stage of the recruitment process. * Unprofessional Communication : Scammers may communicate in an unprofessional manner. Their messages may be filled with poor grammar and spelling errors. The look and feel may not be consistent with the Deloitte corporate brand. If you're unsure, make direct contact with Deloitte using our official contact details. Be careful not to use any contact details provided in the suspicious job advertisement or email. At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We are committed to employment equity and building a diverse and inclusive workplace across the African continent. Our recruitment processes are aligned with our Employment Equity Plan and the principles of the Employment Equity Act. Preference may be given to candidates from designated groups. We actively support the inclusion of people with disabilities and embrace neurodiversity in the workplace. We recognise and value the unique strengths that neurodivergent individuals bring, and we are committed to creating an environment where everyone can thrive. If you require reasonable accommodations in relation to your disability and neurodiverse needs during the recruitment process, please let us know. We are happy to make adjustments to suit your individual needs.", "summaryDescription" : "IRL Data Analytics - Consultant at Deloitte. Skills: Data analytics, Machine learning, Data engineering, Business intelligence. Apply data analytic techniques. Increase organisation's capacity to anticipate risk", "postedDate" : "2026-06-15T12:25:38.000", "createdAt" : "2026-06-16T01:35:11.907", "lastUpdated" : "2026-06-16T10:55:19.734", "ingestTimestamp" : "2026-06-16T01:35:11.907", "mongoId" : "6a307baef292fd229c047577", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data transformation", "Data modelling", "Data architecture", "Data pipelines", "Risk analysis", "Business insights", "Data analytics", "Machine learning", "Data engineering", "Business intelligence", "Risk assessment", "Business needs analysis", "Agile", "Risk and control issues", "Financial risk", "Regulatory team", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "MLflow" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306170f292fd229cf96847", "title" : "IRL Data Analytics - Consultant", "company" : "Deloitte", "industry" : "Computer Software", "salary" : { "min" : 450000.0, "max" : 650000.0, "currency" : "ZAR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Data Analytics Consultant in Midrand, South Africa, adjusted for the consulting industry and Deloitte's company size." }, "location" : "Midrand, GP, ZA", "locations" : [ "Midrand", "GP", "ZA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:41:53.011", "fingerprint" : "cfa624aff6aec076545870c7ef6b5d3fbf4b80d80c642519086d671d38789131", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Deloitte6/744000132189125-africa-talent-by-deloitte-irl-data-analytics-consultant", "externalId" : "744000132189125", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Midrand", "state" : "Gauteng", "country" : "South Africa", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-25.9992620,28.1259120" } ], "locationText" : "Midrand, Gauteng, South Africa", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data transformation", "Data modelling", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical analysis", "Machine learning", "Data engineering", "Risk anticipation", "Business opportunity maximization" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Risk anticipation", "level" : "intermediate" }, { "name" : "Business opportunity maximization", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Data science, Machine learning, Business intelligence", "majorSkillsList" : [ "Data analytics", "Data science", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Apply data analytic techniques, Increase organisation's capacity to anticipate risk, Maximize business opportunities through data driven insights, Identify high priority risk areas, Explore risks using data analytics, Carry out data analysis, Gather initial requirements, Production deployment, Operations, Solve analytics challenges, Integrate analytics with enterprise-level solution development, Provide viable insights to clients, Manage data architectures, Build data architectures, Optimize data architectures, Convert data into relevant insights, Use data analytics technologies, Provide clear interpretations, Use data governance processes, Use data quality processes, Design data pipelines for data ingestion, Design data pipelines for data transformation, Ensure reconciliation of data, Ensure accuracy of data, Develop data modelling documentation, Develop architecture documentation, Provide technical trainings on data analytics standards, Provide technical trainings on data analytics procedures, Mentor junior colleagues, Communicate with technical stakeholders, Communicate with non-technical stakeholders, Understand business needs, Define business needs, Translate business needs to data science context, Contribute to design of analytical solutions, Contribute to development of analytical solutions, Respond to risks, Continuously improve yourself, Solve clients' problems, Interact cohesively with team members, Be a buddy to new members", "teamCollaboration" : "Agile, collaborative environment; Partnering with stakeholders; Audit team; Data analytics consultants; Financial Risk & Regulatory team", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Risk and control issues; Financial risk; Regulatory", "domainList" : [ "risk-and-control-issues", "financial-risk", "regulatory" ], "domainSpecificKnowledge" : [ "Risk and control issues", "Financial risk", "Regulatory" ], "toolProficiency" : [ "Dbt Cloud" ], "communicationSkills" : "Technical concepts; Storytelling skills", "documentationSkills" : "Data modelling documentation; Architecture documentation", "continuousLearning" : "Personal learning and development", "innovationCreativity" : "Innovate; Creative solutions", "problemSolvingSkills" : "Analytics challenges", "qualificationsBasic" : "5+ years of experience, SQL proficiency, Data analysis experience, Excellent communication skills", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Africa Talent Africa Talent by Deloitte (Africa Talent) is a standalone division of Deloitte, owned by Deloitte Africa and Deloitte Netherlands, based in South Africa. Our goal is to meet the growing demand for Talent in Africa and Europe; by recruiting and developing Talent throughout Sub Saharan Africa in order to service the diverse needs and to enable projects at our clients. Talent employed will have the full experience of Deloitte, while getting both international and local exposure to a diverse set of clients, working remotely from Africa. It will take advantage of the demographic reality of Africa as a future source of talent for both Africa and Europe and at its core, the goal is to create employment in Africa and invest in African talent. The ethos of our organisation is characterised by vision, purpose beyond profit and an appetite to innovate and deliver creative, high impact solutions to client challenges. Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration, and high performance. As the undisputed leader in professional services, Deloitte – Africa Talent - is where you will find unrivalled opportunities to succeed and realize your full potential. This new team is a true encapsulation of hybrid work whereby you gain access and exposure to learn from and engage with colleagues in South Africa and across Europe, while working virtually from your local Deloitte office, or from home. The learning consultant is key to the continued development of our Africa Talent Professionals and key to the value we add to making our clients responsible businesses. Being a quickly growing division also brings ample opportunities for personal growth in the role. What’s in it for you? • An ever dynamic and growing internal scaleup with a purpose • The stability and trustworthiness of a purpose driven global brand, ready to build your own future and add to Africa’s prosperity • Being the driver of Africa Talent’s day-to-day operations • A competitive package of benefits • A hybrid work environment with possibility to work at home some days • A driven and ambitious team that looks to you for making the team tick A member of the Data Analytics team, you will assist with applying data analytic techniques to increase an organisation’s capacity to anticipate risk and maximise business opportunities through data driven insights. Deloitte’s deep and thorough understanding of underlying risk and control issues, combined with our knowledge of technology and analytic skills, uniquely helps us to identify high priority risk areas in our client’s businesses and explore those risks using data analytics. Successful candidates will have demonstrated their ability to carry out data analysis from initial requirements gathering through to production deployment and operations. They would have communicated a deep interest in solving analytics challenges using many different techniques and technologies and have demonstrated their ongoing commitment to personal learning and development in this discipline. Excellent communication skills with demonstrated ability to clearly communicate technical concepts to a wide audience is a must. Expertise in data transformation and modelling analytic results, you’ll formulate conclusions and recommendations to client stakeholders, leveraging strong consulting, communication, visualization including storytelling skills. • Work in an agile, collaborative environment, partnering with other stakeholders including audit team and data analytics consultants to integrate the analytics with enterprise-level solution development with the aim of providing viable insights to clients. • Responsible for managing, building and optimizing data architectures and Convert into relevant insights using data analytics technologies and clear interpretations using data governance and data quality processes. • Design of data pipelines for data ingestion and data transformation and ensure the reconciliation and accuracy of the data • Development of data modelling and architecture documentation • Provide technical trainings on data analytics standards and procedures including mentorship to junior colleagues. • Communicate with technical and non-technical stakeholders to understand and define business needs and translate them to a data science context • Contribute to the design and development of analytical solutions in response to these risks. • A passion for continuously improving yourself and how we best solve our clients’ problems • Interact cohesively with other members of the Financial Risk & Regulatory team, including being a buddy to new members of the team. • Open and honest communication to understand what is required of you and how you and others can improve. • Contribute to the analysis and interpretation of data towards relevant communications to explain the value of the work completed. • Assist in identifying and collecting data from financial systems and other related data sources • Assist in assessing and determining the techniques and tools to be used in collection, analysis and communication for a project • Apply selected analytical techniques and tools to achieve project outcomes • Ability to effectively work in technical cross-functional teams • Provide expertise on data analytics and digital transformation • Ability to work independently and manage multiple tasks while maintaining project timelines • Understanding of ML and AI concepts and its applicability. • SAP experience an advantage. • Project management skills essential for this role. • Practical data engineering skillset is a basic requirement but fundamental domain experience in any field is a complimentary advantage ## Qualifications Are you someone with: • 2- 3 years experience with MS SQL Server and experience in visual communication of analysis (i.e. Tableau and Power BI) • Experience extracting and analysing data from complex data sets and systems • Strong attention to detail with a curiosity to understand data • Ability to thrive working in a team environment and serving clients with distinction • Ability to turn data into insights and communicate insights effectively with our clients • Ideally, experience in visual communication of analysis (e.g. Tableau, Qlik, Power BI) • Strong Knowledge of Excel and VBA ## Additional Information We are always interested in talking with professionals about their next career experience. If you have a passion for learning from talented people and benefit from the support of a global organization and network, apply online now. If you believe that you meet most of the criteria above, we encourage you to apply. Deloitte is an equal opportunities employer and will ensure any reasonable accommodations are implemented as part of the recruitment and selection process. Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive. Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements. Be careful of Recruitment Scams: Fraudsters or employment scammers often pose as legitimate recruiters, employers, recruitment consultants or job placement firms, advertising false job opportunities through email, text messages and WhatsApp messages. They aim to cheat jobseekers out of money or to steal personal information. To help you look out for potential recruitment scams, here are some Red Flags: * Upfront Payment Requests : Deloitte will never ask for any upfront payment for background checks, job training, or supplies. * Requests for Personal Information : Be wary if you are asked for sensitive personal information, especially early in the recruitment process and without a clear need for it. Fraudulent links or contractual documents may require the provision of sensitive personal data or copy documents (e.g., government issued numbers or identity documents, passports or passport numbers, bank account statements or numbers, parent’s data) that may be used for identity fraud. Do not provide or send any of these documents or data. Please note we will never ask for photographs at any stage of the recruitment process. * Unprofessional Communication : Scammers may communicate in an unprofessional manner. Their messages may be filled with poor grammar and spelling errors. The look and feel may not be consistent with the Deloitte corporate brand. If you're unsure, make direct contact with Deloitte using our official contact details. Be careful not to use any contact details provided in the suspicious job advertisement or email. At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We are committed to employment equity and building a diverse and inclusive workplace across the African continent. Our recruitment processes are aligned with our Employment Equity Plan and the principles of the Employment Equity Act. Preference may be given to candidates from designated groups. We actively support the inclusion of people with disabilities and embrace neurodiversity in the workplace. We recognise and value the unique strengths that neurodivergent individuals bring, and we are committed to creating an environment where everyone can thrive. If you require reasonable accommodations in relation to your disability and neurodiverse needs during the recruitment process, please let us know. We are happy to make adjustments to suit your individual needs.", "summaryDescription" : "IRL Data Analytics - Consultant at Deloitte. Skills: Data analytics, Data science, Machine learning, Business intelligence. Apply data analytic techniques. Increase organisation's capacity to anticipate risk", "postedDate" : "2026-06-15T12:25:38.000", "createdAt" : "2026-06-16T00:16:19.926", "lastUpdated" : "2026-06-16T10:41:53.011", "ingestTimestamp" : "2026-06-16T00:16:19.926", "mongoId" : "6a306170f292fd229cf96847", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Machine learning", "Data engineering", "Risk anticipation", "Business opportunity maximization", "Data analytics", "Data science", "Business intelligence", "Data transformation", "Data modelling", "Analytics engineering", "Quantitative analysis", "Agile", "Risk and control issues", "Financial risk", "Regulatory", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cc29274d8ee00a0a06cca", "title" : "Project Management & Operational Excellence Internship (w/m/d)", "company" : "Enpal", "industry" : "New Ventures", "salary" : { "min" : 29000.0, "max" : 36000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on market data for entry-level internships in the climate tech industry in Berlin, Germany, adjusted for company size and industry." }, "location" : "Berlin", "locations" : [ "Berlin" ], "timestamp" : "2026-06-16T05:38:38.821", "fingerprint" : "7991e9943929ab9300f241576121a789a7c3d429a2a021d2265c3f815130c7d2", "source" : "ashby", "language" : "de", "applyUrl" : "https://jobs.ashbyhq.com/enpal/d8fc8b5c-acee-4379-a1bc-8ac88451f731/application", "externalId" : "d8fc8b5c-acee-4379-a1bc-8ac88451f731", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.5173885,13.3951309" } ], "locationText" : "Berlin, Germany", "employmentType" : "INTERNSHIP", "technicalSkills" : "Excel, Google Sheets", "professionalSkills" : [ "Process improvement", "Performance topics", "Consulting" ], "hardSkillsList" : [ "KPI reporting" ], "hardSkills" : [ { "name" : "KPI reporting", "level" : "intermediate" } ], "majorSkills" : "Project management, Operational excellence, Process analysis", "majorSkillsList" : [ "Project management", "Operational excellence", "Process analysis" ], "coreResponsibilities" : "Drive operational implementation of scaling and performance initiatives, Analyze processes, Identify concrete improvement potentials, Implement optimizations with teams, Take end-to-end responsibility for workstreams and work packages, Create KPI reports, Use data to steer decisions and priorities", "teamCollaboration" : "Cross-functional coordination; Coordinate with Operations; Coordinate with Product; Coordinate with stakeholders", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Decentralized energy", "domainList" : [ "decentralized-energy" ], "domainSpecificKnowledge" : [ "Decentralized energy" ], "toolProficiency" : [ "Excel", "Google Sheets" ], "problemSolvingSkills" : "Process improvement", "qualificationsBasic" : "Studying in business-related, technical, or tech-savvy field, First experience in operations, project management, process or performance topics or consulting, Very good Excel/Google Sheets skills, Hands-on, structured, and implementation-strong work style, Fluent German (written and spoken)", "qualificationsPreferred" : "Experience in Operations/PM or startup/scale-up environment", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Unser Ziel ist eine Solaranlage auf jedem Dach, ein Speicher in jedem Haus und ein E-Auto in jeder Garage. Enpal macht das möglich mit einer integrierten Gesamtlösung für dezentrale Energie – von Solaranlage und Batteriespeicher über Wallbox, Smart Meter bis zur Wärmepumpe. Herzstück ist unsere KI-gestützte Plattform Enpal.One http://Enpal.One+, die tausende Systeme intelligent vernetzt und Strombezug sowie -einspeisung effizient am Energiemarkt optimiert. Bist du bereit für Lösungen, die mehr als nur ein Versprechen sind und täglich echte Lebensqualität in tausende Haushalte bringen? Was du bei Enpal gestaltest, liefert morgen sauberen Strom und verändert nachhaltig, wie wir Energie nutzen. DEINE AUFGABEN - Du treibst die operative Umsetzung von Skalierungs- und Performance-Initiativen aktiv voran - Du analysierst Prozesse, identifizierst konkrete Verbesserungspotenziale und setzt Optimierungen gemeinsam mit den Teams um - Du übernimmst end-to-end Verantwortung für definierte Workstreams und Arbeitspakete in Projekten - Du koordinierst cross-funktional mit Operations, Product und weiteren Stakeholdern und stellst konsequenten Fortschritt sicher - Du erstellst KPI-Reportings und nutzt Daten, um Entscheidungen und Prioritäten besser zu steuern DEIN PROFIL - Du studierst in einem wirtschaftsnahen, technischen oder techaffinen Bereich - Du hast erste Erfahrung in Operations, Projektmanagement, Prozess- oder Performance-Themen oder im Consulting (z. B. in Operations/PM oder im Start-up bzw. Scale-up Umfeld) - Du verfügst über sehr gute Excel-/Google-Sheets-Skills und hast Spaß an KPI-basierter Arbeit sowie an pragmatischer Prozessverbesserung - Du arbeitest hands-on, strukturiert und umsetzungsstark und hältst Themen zuverlässig auf Kurs bis zum Ergebnis - Du sprichst verhandlungssicher Deutsch in Wort und Schrift Du bist interessiert, auch wenn du nicht alle Anforderungen erfüllst? Bewirb dich trotzdem! Wir freuen uns darauf, dein Potenzial zu entdecken - unabhängig davon, ob deine Erfahrung jede einzelne Voraussetzung erfüllt. ☀️ DEINE BENEFITS - Arbeite in Deutschlands erstem grünen Unicorn - Gestalte aktiv die solare Energiewende mit - Die Sonne scheint auf der ganzen Welt - Bei Enpal arbeitest du mit einem hochmotivierten, diversen Team aus über 65 Nationalitäten - Das ideale Setup für deinen Fokus - Wir sind überzeugt, dass exzellente Ergebnisse dort entstehen, wo die Bedingungen stimmen. Deshalb setzen wir auf ein hybrides Arbeitskonzept, das dir die Freiheit gibt, immer genau so zu arbeiten, wie es am besten zu deinen Aufgaben passt. Du brauchst neue Impulse auf internationalem Niveau? Mit Workflex bieten wir, abhängig von deiner Verantwortung, die Möglichkeit, deine Tätigkeit bis zu 30 Tage im Jahr ins Ausland zu verlegen - Grown-up Business & Startup Spirit - In unserem modernen Office in Berlin-Friedrichshain findest du von höhenverstellbaren Tischen, Tischtennisplatte bis gefüllten Getränkekühlschränken und Barista-Coffee alles was das Herz begehrt - Dein Kick-start bei Enpal - Onboarding-Tag mit Welcome Bag, Buddy-Programm und einem Team, das dich wirklich abholt - Bleib auf dem Laufenden & gestalte mit - Transparente All-Hands, kurze Entscheidungswege und eine offene Feedback-Kultur, denn ohne Fehler gibt es keinen Fortschritt - Energiewende geht nur gemeinsam - Bei Enpal erwartet dich ein legendärer Teamspirit und unvergessliche Team- und Companyevents - Dein Extra-Boost - 29 Urlaubstage + je ein freier Tag an Heiligabend und Silvester, vergünstigte Mitgliedschaft bei Wellhub und Corporate Benefits. Alles, was dir hilft, Arbeit und Leben gut zu verbinden Wir bei Enpal sind stolz auf die Vielfältigkeit unseres Teams. Weder bei der Einstellung noch während des Beschäftigungsverhältnisses werden Entscheidungen auf Basis von Hautfarbe, Religion oder religiösen Glaubens, ethnischer oder nationaler Herkunft, Nationalität, Geschlechteridentität, sexuelle Orientierung, Behinderung oder Alter getroffen. Enpal steht für einen sicheren Arbeitsplatz und geht gegen Diskriminierung und Belästigung jeglicher Art vor.", "summaryDescription" : "Project Management & Operational Excellence Internship (w/m/d) at Enpal. Skills: Project management, Operational excellence, Process analysis. Drive operational implementation of scaling and performance initiatives. Analyze processes", "createdAt" : "2026-06-14T19:30:11.695", "lastUpdated" : "2026-06-16T05:38:38.821", "ingestTimestamp" : "2026-06-14T19:30:11.695", "mongoId" : "6a2cc29274d8ee00a0a06cca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "KPI reporting", "Project management", "Operational excellence", "Process analysis", "Process improvement", "Performance topics", "Consulting", "Decentralized energy", "Excel", "Google Sheets" ], "skillCount" : 10, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6b4374d8ee00a0910f24", "title" : "Staff Analytics, Product & Marketing", "company" : "EarnIn", "industry" : "FinTech", "salary" : { "min" : 215000.0, "max" : 263000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Mountain View, California, United States", "locations" : [ "Mountain View", "California", "United States" ], "timestamp" : "2026-06-16T01:10:19.088", "fingerprint" : "043ab32fd9448a8004b95cf62046870977c314421b43aeee401d291c508f19b7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/earnin/jobs/8001075", "externalId" : "8001075", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Staff", "technicalSkills" : "SQL, Python, Experimentation, Statistical modeling, AI, LLMs, Automation, Uplift modeling, Causal inference, Databricks, Snowflake, Dbt, Amplitude, Looker", "professionalSkills" : [ "Analytics strategy", "Product analytics", "Growth analytics", "Causal measurement", "Experimentation frameworks", "Measurement approaches", "Modeling approaches", "Uplift modeling", "Causal inference", "Experimentation rigor", "Data modeling" ], "hardSkillsList" : [ "Analytics", "Data science", "Statistical modeling", "Experimentation", "Causal inference", "Uplift modeling", "Product analytics", "Growth analytics", "AI-driven workflows" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Analytics", "level" : "intermediate" }, { "name" : "Data science", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Uplift modeling", "level" : "intermediate" }, { "name" : "Product analytics", "level" : "intermediate" }, { "name" : "Growth analytics", "level" : "intermediate" }, { "name" : "AI-driven workflows", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Analytics strategy, AI-driven analytics, Product analytics, Growth analytics", "majorSkillsList" : [ "Analytics strategy", "AI-driven analytics", "Product analytics", "Growth analytics" ], "coreResponsibilities" : "Shape analytics strategy, Drive analytics strategy, Mentor the team, Develop the team, Collaborate with Marketing, Collaborate with Product, Collaborate with Engineering, Translate business needs, Build AI-driven pipelines, Surface insights proactively, Scale decision-making, Build AI-driven analytics agents, Automate workflows, Productionize systems at scale, Develop experimentation frameworks, Develop causal measurement frameworks, Develop product analytics frameworks, Design measurement approaches, Implement measurement approaches, Design modeling approaches, Implement modeling approaches, Develop deep understanding, Identify opportunities for growth, Identify risks for growth, Identify levers for growth, Communicate insights clearly, Influence product roadmaps, Influence marketing roadmaps", "teamCollaboration" : "Cross-functional partners; Product teams; Engineering teams; Marketing teams; Executives; Cross-functional leaders", "domainKnowledge" : "Earned wage access; Fintech; Consumer tech; Product analytics; Growth analytics; Acquisition; Activation; Engagement; Retention; Monetization; LTV; Paid surfaces; Owned surfaces; Product surfaces", "domainList" : [ "earned-wage-access", "fintech", "consumer-tech", "product-analytics", "growth-analytics", "acquisition", "activation", "engagement", "retention", "monetization", "ltv", "paid-surfaces", "owned-surfaces", "product-surfaces" ], "domainSpecificKnowledge" : [ "Earned wage access", "Fintech", "Consumer tech", "Product analytics", "Growth analytics", "Acquisition", "Activation", "Engagement", "Retention", "Monetization", "LTV", "Paid surfaces", "Owned surfaces", "Product surfaces" ], "toolProficiency" : [ "Databricks", "Snowflake", "Dbt", "Amplitude", "Looker" ], "communicationSkills" : "Storytelling; Technical audiences; Non-technical audiences", "innovationCreativity" : "AI-driven workflows; Automation", "problemSolvingSkills" : "Actionable insights; Identify opportunities; Identify risks; Identify levers", "outcomesObjectives" : "Drive user growth; Drive user engagement; Transform analytics operations; Scale decision-making", "qualificationsBasic" : "7+ years in analytics, 7+ years data science, Deep hands-on execution, SQL technical skills, Python technical skills, Experimentation technical skills, Statistical modeling technical skills, Experience building AI-driven analytics workflows, Solid background in product analytics, Solid background in growth analytics, Experience with causal inference, Experience with uplift modeling, Experience with experimentation frameworks, Ability to operate as high-leverage IC, Partner closely with executives, Partner closely with cross-functional leaders, Excellent communication skills, Excellent storytelling skills", "qualificationsPreferred" : "Experience in fintech a plus, Experience in consumer tech a plus, Experience in data-driven product organizations a plus, Familiarity with modern data stacks a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. POSITION SUMMARY We are seeking a Staff Analyst to partner closely with the CMO and product leadership to drive user growth and engagement. This leader will shape and drive the analytics strategy, mentor and develop the team, and collaborate cross-functionally with Marketing, Product, and Engineering to translate business needs into actionable insights. The primary goal of this position is to architect and build agentic workflows that transform how analytics operates: design AI-driven pipelines that work autonomously, surface insights proactively, and scale decision-making across the organization. You bring both the strategic vision to see where automation unlocks the most value, and the hands-on depth to get into the data and build it yourself. The Mountain View base salary range for this full-time position is $215,000 to $263,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Mountain View, requiring in-office work 2 days a week. WHAT YOU'LL DO Collaborate with Product, Engineering, Marketing, and cross‑functional partners to inform, influence, and execute strategy across product and growth surfaces. Build AI‑driven analytics agents that automate workflows such as experimentation readouts, funnel diagnostics, anomaly detection, and business reviews, and partner with Engineering to productionize these systems at scale. Develop and maintain experimentation, causal measurement, and product analytics frameworks that support acquisition, activation, engagement, retention, monetization, and LTV. Design and implement measurement and modeling approaches across paid, owned, and product surfaces, using uplift modeling, causal inference, and experimentation rigor (MMM optional). Develop a deep understanding of complex product and marketing systems to identify opportunities, risks, and levers for growth. Communicate insights clearly to technical and non‑technical audiences, influencing product and marketing roadmaps through data, modeling, and AI‑driven insights. WHAT WE'RE LOOKING FOR 7+ years in analytics, data science with deep hands‑on execution. Strong technical skills in SQL, Python, experimentation, and statistical modeling. Experience building AI‑driven analytics workflows (LLMs, agents, automation, or similar). Solid background in product and growth analytics across activation, engagement, retention, and monetization. Experience with causal inference, uplift modeling, and experimentation frameworks. Ability to operate as a high‑leverage IC who partners closely with executives and cross‑functional leaders. Excellent communication and storytelling skills for technical and non‑technical audiences. Experience in fintech, consumer tech, or data‑driven product organizations is a plus. Familiarity with modern data stacks (Databricks, Snowflake, dbt, Amplitude, Looker) is a plus #LI-Hybrid At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant. EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.", "summaryDescription" : "Staff Analytics, Product & Marketing at EarnIn. Skills: Analytics strategy, AI-driven analytics, Product analytics, Growth analytics. Shape analytics strategy. Drive analytics strategy", "postedDate" : "2026-06-14T18:33:18.417", "createdAt" : "2026-06-14T18:33:18.417", "lastUpdated" : "2026-06-16T01:10:19.088", "ingestTimestamp" : "2026-06-14T18:33:18.417", "mongoId" : "6a2c6b4374d8ee00a0910f24", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 263000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Analytics", "Data science", "Statistical modeling", "Experimentation", "Causal inference", "Uplift modeling", "Product analytics", "Growth analytics", "AI-driven workflows", "Leadership", "Mentoring", "Analytics strategy", "AI-driven analytics", "Causal measurement", "Experimentation frameworks", "Measurement approaches", "Modeling approaches", "Experimentation rigor", "Data modeling", "Earned wage access", "Fintech", "Consumer tech", "Acquisition", "Activation", "Engagement", "Retention", "Monetization", "LTV", "Paid surfaces", "Owned surfaces", "Product surfaces", "Databricks", "Snowflake", "Dbt", "Amplitude", "Looker" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "marketing analytics reporting manager data infrastructure operational excellence jobs", "metadata" : { "title" : "marketing analytics reporting manager data infrastructure operational excellence" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 154328, "totalPages" : 3087, "hasNext" : true, "hasPrevious" : false } }

Remote Marketing Analytics Reporting Manager Data Infrastructure Operational Excellence Jobs

Top Skills

Staff Analyst - Operational Analytics & Reporting

Senior Manager, GTM Operational Excellence

Senior Manager, GTM Operational Excellence

Operational Excellence Manager

Data Infrastructure & Analytics Specialist

OPERATIONS ANALYST III - OPERATIONAL EXCELLENCE

Sr Manager Data Analytics, Marketing

Manager, Data Analytics

Data Science Manager, Marketing Analytics

Director, Data Science (Marketing Analytics)

Internship: Marketing Excellence

Internship: Marketing Excellence

Process Excellence, Manager, External Fulfillment Operational Excellence

Marketing Analytics Manager

Senior Operational Excellence (OpsEx), Infrastructure Capacity Management

Data & Reporting Analyst

Data Analytics Manager

Operational Excellence Program Manager

Operational Excellence Manager

Senior Marketing Analytics Manager - BI & Data Architecture

Product Marketing Manager, Networking Infrastructure

Global HR Reporting and Analytics Lead (HR/Workday reporting)

Staff Marketing Analytics

Operational Excellence Advisor

Marketing Analytics Lead

Manager, Business Analytics (Brand Marketing)

Director of Reporting and Analytics

Head of Marketing Analytics

Technical Operational Manager

Data Reporter, Senior Data Reporter

Sr. Operational Finance Manager

Sr. Planning, Reporting & Analytics Program Manager

Data & Analytics Engineer

Software Development Engineer, Data Analytics Integration AI and Platform Excellence

Software Development Engineer, Data Analytics Integration AI and Platform Excellence

Senior Analyst / Manager of Data & Analytics

Senior Analyst / Manager of Data & Analytics

Program Manager, Operational Excellence

Senior Consultant - Data & Analytics

Data Solutions Lead Manager, Data Collection Excellence

Operations Data & Reporting Associate

Senior Systems Analyst – Reporting & EDI Analytics

Manager - Analytics

Manager Tax Reporting

Data Analytics Manager

Manager Assurance Data & Analytics AI Tooling

IRL Data Analytics - Consultant

IRL Data Analytics - Consultant

Project Management & Operational Excellence Internship (w/m/d)

Staff Analytics, Product & Marketing

Related Searches

All Marketing Analytics Reporting Manager Data Infrastructure Operational Excellence Jobs by City

More Remote Jobs

Common Questions