{ "count" : 62782, "data" : [ { "id" : "6a2ae8f574d8ee00a072bd5a", "title" : "Commercial Excellence & Data Analytics Specialist – Asia Pacific", "industry" : "MedTech", "salary" : { "min" : 3500000.0, "max" : 6000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Commercial Excellence & Data Analytics Specialist in the Pharma industry in India, adjusted for mid-level experience and a remote work mode." }, "location" : "Wanchai, HKG", "locations" : [ "Wanchai, HKG", "Hong Kong" ], "timestamp" : "2026-06-14T23:29:26.796", "fingerprint" : "f8acce169a29217f64307284264c0f6682a313a37d750021fd9d175e64a57fdf", "source" : "workday", "language" : "en", "applyUrl" : "https://freseniusmedicalcare.wd3.myworkdayjobs.com/fme/job/Wanchai-HKG/Commercial-Excellence---Data-Analytics-Specialist---Asia-Pacific_R0255408", "externalId" : "R0255408", "industryFunction" : { }, "locationPoint" : "-13.52493,-71.96531", "structuredLocations" : [ { "continent" : "as", "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's Degree", "experienceMinYears" : 5, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "PowerBI, SAP, CRM", "professionalSkills" : [ "Commercial processes", "Data Collection", "Sales Analytics", "Project management", "Change Management" ], "hardSkillsList" : [ "Data-driven performance tracking", "Market insight coordination" ], "softSkillsList" : [ "Customer Focus" ], "hardSkills" : [ { "name" : "Data-driven performance tracking", "level" : "intermediate" }, { "name" : "Market insight coordination", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer Focus" } ], "majorSkills" : "Commercial Excellence, Data Analytics, CRM Enablement", "majorSkillsList" : [ "Commercial Excellence", "Data Analytics", "CRM Enablement" ], "coreResponsibilities" : "Support commercial strategy execution, Drive adoption of standardized tools, Facilitate best practice sharing, Coordinate market insight processes, Drive EDGE CRM adoption, Contribute to commercial process improvement, Support tender management improvement, Develop performance tracking frameworks, Provide actionable insights, Support training rollout", "teamCollaboration" : "Cross-functional collaboration; Work with finance; Work with supply chain", "projectManagementSkills" : [ "Agile", "Project management" ], "domainKnowledge" : "Commercial processes in healthcare; Sales Analytics; E-health; Data security", "domainList" : [ "commercial-processes-in-healthcare", "sales-analytics", "e-health", "data-security" ], "domainSpecificKnowledge" : [ "Commercial processes in healthcare", "Sales Analytics", "E-health", "Data security" ], "toolProficiency" : [ "EDGE CRM", "MS Office" ], "communicationSkills" : "Presenting; Writing; Reading", "problemSolvingSkills" : "Data-driven decision making", "outcomesObjectives" : "Maximise top and bottom-line results", "qualificationsBasic" : "5 years’ experience in MedTech or Pharma business, Master’s Degree in Business Economics, Finance or similar area, English fluent", "qualificationsPreferred" : "Fluent in other Asian languages, Any other language as an asset, Experience working for an international company", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "_**LOCATION** : _Open to locations across Asia Pacific. _**PURPOSE OF THE POSITION**_ The Commercial Excellence & Data Analytics Specialist supports the development, implementation, and ongoing improvement of Commercial Excellence initiatives across the Asia Pacific region to maximise top and bottom-line results. This role acts as a key enabler of data-driven, structured commercial execution by strengthening processes, capabilities, and tools, including the EDGE CRM, pricing discipline, and tendering and contracting, while driving adoption through targeted change management. He/She will work cross-functionally with finance, supply chain and other functions to actively improve business processes. _**MAIN ACTIVITIES**_ **Strategy & Execution Enablement** * Support translation of regional and global commercial strategy into actionable execution frameworks. * Drive adoption of standardized tools, frameworks, and ways of working across markets, increasing consistency in customer engagement models, account planning approaches and sales planning processes. * Facilitate sharing and scaling of best practices across AP countries. * Responsible for coordinating processes for Market insight: MCS, MKIS, LRPP, LRPD and Market Segmentation. **EDGE CRM & Commercial Systems Enablement** * Drive effective adoption and evolution of EDGE CRM as a commercial tool. * Contribute to continuous improvement of commercial processes and tools to support sales execution. * Support improvement in tender management processes and contracting approaches. **Commercial Analytics & Performance Management** * Develop and implement data-driven performance tracking frameworks. * Provides leadership with actionable insights for decision-making. * Support development and rollout of training and capability-building initiatives **Quality, Legal & Compliance** * Follow and comply with all relevant FME policies, guidelines, manuals and SOPs in the version as amended from time to time (“FME Policies”) * Keep yourself updated about the current version of the FME Policies that are relevant for your role and integrate corporate values in daily business _**REQUIRED QUALIFICATIONS, EXPERIENCE AND CRITICAL SKILLS**_ **Education and qualification required or expected** * Master’s Degree in Business Economics, Finance or similar area. ## ## **Required professional experience (in years):** * 5 years’ experience in MedTech or Pharma business in commercial support, business intelligence or marketing positions. * Stakeholder Expectation Management: Ability to identify potential stakeholders, analyze their expectations, and develop strategies for managing stakeholders and their expectations ## ## **Required personal competencies:** * Collaborates: Easily connects to people, manages organizational complexity and builds strong partnerships to meet objectives * Communicates Effectively: Develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences. * Plans and Aligns: Plans and prioritizes work to meet commitments aligned with organizational goals. * Tech Savvy: Anticipates and adopts innovations in business-building digital and technology applications. * Manages Organizational Complexity: Makes sense of complex, high quantity, information to effectively solve problems. * Cultivates Innovation: Creates new and better ways for the organization to be successful. * Self-Development: Actively seeks new ways to grow and be challenged using both formal and informal development channels. * Customer Focus: Building strong customer relationships and delivering customer-centric solutions. ## ## **Other specialized knowledge, expertise and skills:** ## **a) Functional knowledge:** * Good understanding of commercial processes in healthcare industry (especially Marketing & Sales) * Good understanding in Data Collection and Analysis (especially Sales Analytics) * (Agile) project management methodology * Change Management basics ## **b) IT skills** * Understand and use modern communication software and systems * Business processes support by effective use of standard office equipment and standard software packages * Strong IT user knowledge (MS Office, PowerBI, SAP, CRM, Intranet etc.) * Understand basics of e-health, data security and related topics * Up-to-date knowledge of IT and digitalization ## **c) Languages** * English fluent as a must (presenting, writing, reading) * Fluent in other Asian languages preferred (presenting, writing, reading) * Any other language as an asset ## ## Special personal requirements: * Experience working for an international company with international standards ###", "summaryDescription" : "Commercial Excellence & Data Analytics Specialist – Asia Pacific. Skills: Commercial Excellence, Data Analytics, CRM Enablement. Support commercial strategy execution. 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Leveraging the power of our platform and our peerless intelligence across sectors, strategies, and geographies, we help identify the advantages and the answers our clients need to succeed. Position Overview The APAC and LATAM Payroll Specialist will be responsible for the accurate and timely processing of payrolls across multiple countries within the APAC and LATAM regions. Sitting in the Singapore, this role acts as the key liaison between local HR teams, finance, third-party payroll providers, and employees, ensuring compliance with local regulations and internal policies. Essential Job Functions Manage the payroll email inbox and respond to inquiries related to international payroll activities Act as the primary point of contact for payroll queries from employees and internal teams Coordinate monthly payroll processing for employees across APAC and LATAM regions in collaboration with external payroll vendors Review and validate payroll inputs (e. g. new hires, terminations, bonuses, overtime, benefits, tax details) Perform gross-to-net pay checks and reconciliation reports, ensuring accurate and timely payments Ensure compliance with local statutory requirements (tax, social security, pensions, etc.) Stay updated on payroll legislation and regulatory changes in each country within remit Maintain accurate employee records in the HR/payroll systems Support audits and reporting requirements related to payroll Collaborate with Finance on payroll funding, journal entries, and month-end reporting Prepare, reconcile, and post semi-monthly and monthly payroll journal entries for international locations Perform balance sheet reconciliations and complete BlackLine reviews for global entities during month-end close Assist in implementing payroll process improvements and system enhancements Education and/or Work Experience Requirements: 2+ years’ experience in multi-country payroll, across APAC. Solid understanding of payroll legislation in key countries (e. g. China, Japan, Singapore, etc.) Experience working with third-party payroll providers Strong attention to detail and ability to handle sensitive data with discretion Proficiency in Excel and familiarity with payroll or HRIS systems (e. g. UKG, Workday, ADP, etc.) Excellent communication and interpersonal skills Ability to work independently and manage deadlines across multiple time zones Other Attributes: Payroll certification Experience with system implementation or payroll migrations Understanding of international mobility and expatriate payrolls #LI-Hybrid At StepStone, we believe that our people are our most important asset and crucial to our success. We are an Equal Opportunity Employer that strives to create an environment that empowers our employees and allows them to be heard, regardless of title or tenure. Our organizational community features multiple Employment Resource Groups as well as mentorship programs to enhance the employee experience for all. As an Equal Opportunity Employer, StepStone does not discriminate on the basis of race, creed, color, religion, sex, national origin, citizenship status, age, disability, marital status, sexual orientation, gender identity, gender expression, genetic information or any other characteristic protected by law. Candidates must be at least 18 years old to apply. Developing People at StepStone", "summaryDescription" : "Payroll Specialist - Asia Pacific & Latin America at StepStone Group", "postedDate" : "2026-06-15T23:21:41.038", "createdAt" : "2026-06-15T23:21:41.038", "lastUpdated" : "2026-06-16T06:41:17.446", "ingestTimestamp" : "2026-06-15T23:21:41.038", "mongoId" : "6a30571cf292fd229cf342bf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7bf874d8ee00a094bcaf", "title" : "AVP Channel Sales, Asia Pacific", "company" : "Cato Networks", "industry" : "Technology", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AVP Channel Sales in Singapore, adjusted for executive seniority and the technology industry." }, "location" : "Singapore", "locations" : [ "Singapore" ], "timestamp" : "2026-06-16T02:13:00.172", "fingerprint" : "f1e82fe70a17e6dfc0762cb6e04ea82cc2684db57ff5e4912d4c6b99a99faf0c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.catonetworks.com/careers/careers-post/4869442101?gh_jid=4869442101", "externalId" : "4869442101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "experienceMinYears" : 12, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "technicalSkills" : "SASE, SD-WAN, Cloud platforms", "professionalSkills" : [ "Channel strategy", "Partner ecosystem", "Pipeline generation", "Deal registration", "Revenue contribution", "Team leadership", "Performance metrics", "Partner onboarding", "Partner enablement", "Joint business plans", "Cross-functional alignment", "Market expansion", "Strategic alliances" ], "softSkillsList" : [ "Leadership" ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Channel Sales, Partner Management, Revenue Growth", "majorSkillsList" : [ "Channel Sales", "Partner Management", "Revenue Growth" ], "coreResponsibilities" : "Define Asia Pacific channel strategy, Execute Asia Pacific channel strategy, Build multi-tier partner ecosystem, Optimise multi-tier partner ecosystem, Drive partner-led pipeline generation, Drive deal registration, Drive revenue contribution, Lead regional channel sales team, Mentor regional channel sales team, Scale regional channel sales team, Establish clear KPIs, Establish performance metrics, Establish partner coverage models, Foster accountability culture, Foster collaboration culture, Foster customer success culture, Oversee partner onboarding, Oversee partner certification, Oversee partner enablement, Oversee partner readiness, Ensure partners position Cato SASE, Ensure partners sell Cato SASE, Develop joint business plans, Partner with Asia Pacific Sales, Partner with Marketing, Partner with Product, Partner with Customer Success, Align channel initiatives with direct sales, Maximise market coverage, Minimise conflict, Provide regional input, Identify new routes-to-market, Identify strategic alliances, Support large partner-led opportunities, Support complex partner-led opportunities, Support executive-level engagements, Represent Cato Networks at events", "teamCollaboration" : "Cross-functional alignment; Direct sales motions; Global channel programs", "domainKnowledge" : "Cloud networking; Network security; SASE market; Cloud-native solutions", "domainList" : [ "cloud-networking", "network-security", "sase-market", "cloud-native-solutions" ], "domainSpecificKnowledge" : [ "Cloud networking", "Network security", "SASE market", "Cloud-native solutions" ], "communicationSkills" : "Executive communication; Negotiation; Relationship-building", "outcomesObjectives" : "Drive predictable revenue growth; Expand Cato's presence; Accelerate regional expansion", "qualificationsBasic" : "12+ years channel sales experience, Proven success building Asia Pacific channel organisations, Background in cybersecurity, networking, SASE, SD-WAN, or cloud platforms, Ability to drive revenue through indirect sales, Experience managing distributed, multicultural teams, Strategic thinker with execution discipline, Excellent executive communication, Excellent negotiation skills, Excellent relationship-building skills", "remoteFriendly" : false, "rawDescription" : "Welcome to the future of cloud networking and security! Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028. This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it! Cato Networks is seeking an accomplished Area Vice President, Channel Sales – Asia Pacific to lead, scale, and accelerate our partner ecosystem across the region. This executive leader will be responsible for building a world-class channel organisation that drives predictable revenue growth through strategic distributors, service providers, MSPs, GSIs, and regional partners. The AVP will play a critical role in expanding Cato’s presence as the SASE market leader, aligning partner strategy with field sales, and enabling partners to deliver differentiated, cloud-native security and networking solutions to enterprise and mid-market customers. Key Responsibilities Channel Strategy & Execution Define and execute the Asia Pacific channel strategy aligned with global objectives and regional growth targets Build and optimise a multi-tier partner ecosystem including distributors, VARs, MSPs, carriers, and GSIs Drive partner-led pipeline generation, deal registration, and revenue contribution Leadership & Team Development Lead, mentor, and scale a high-performing regional channel sales team Establish clear KPIs, performance metrics, and partner coverage models Foster a culture of accountability, collaboration, and customer success Partner Enablement & Engagement Oversee partner onboarding, certification, enablement, and ongoing readiness Ensure partners are equipped to position and sell Cato’s SASE platform effectively Develop joint business plans with top-tier partners and distributors Cross-Functional Alignment Partner closely with Asia Pacific Sales, Marketing, Product, and Customer Success teams Align channel initiatives with direct sales motions to maximise market coverage and minimise conflict Provide regional input into global channel programs, incentives, and MDF strategy Market Expansion & Growth Identify new routes-to-market and strategic alliances to accelerate regional expansion Support large, complex partner-led opportunities and executive-level engagements Represent Cato Networks at key partner and industry events across Asia Pacific Qualifications 12+ years of experience in channel sales, alliances, or partner leadership roles Proven success building and scaling Asia Pacific channel organisations in high-growth technology companies Strong background in cybersecurity, networking, SASE, SD-WAN, or cloud platforms Demonstrated ability to drive revenue through indirect sales models Experience managing distributed, multicultural teams across Asia Pacific Strategic thinker with strong execution discipline and operational rigor Excellent executive communication, negotiation, and relationship-building skills", "summaryDescription" : "AVP Channel Sales, Asia Pacific at Cato Networks. 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Move the World with Us! At Atlas Air Worldwide, we’re not just an airline, we’re a global engine powering cargo, passenger, and leasing operations across more than 70 countries. As a leader in outsourced aviation logistics, we’re built on a foundation of safety, service excellence, integrity, innovation, teamwork, and responsibility. With over 30 years of history, a modern all-Boeing fleet, and nearly 5,000 teammates collaborating across operations, technical, and corporate functions, we’re driven by purpose. If you're ready to grow, innovate, and help us deliver excellence every single day, you belong here. Position Summary: The Assistant Manager Charter Sales, Asia Pacific, will support the Director Charter Sales, Asia Pacific in executing charter sales strategies across the region. This role involves managing customer relationships, coordinating operational and commercial activities, and driving revenue growth through proactive sales efforts. The position requires strong cross-functional collaboration with internal departments and external stakeholders to ensure seamless charter operations and customer satisfaction. Major Job Accountabilities: Sales Chinese language proficiency is a plus. Proficiency in Microsoft Office (Excel, Word, PowerPoint); Salesforce experience preferred. Strong interpersonal skills with a customer-oriented mindset. Ability to manage multiple assignments under time constraints. Willingness to travel as required. #LI-SL1 At Atlas Air Worldwide, we believe in the power of people, the promise of innovation, and the responsibility we hold to each other, to our customers, and to the planet. Join us and be part of a team that lifts more than cargo; we lift ambition.", "summaryDescription" : "Assistant Manager Charter Sales, Asia Pacific at Atlas Air Worldwide. Skills: Charter sales, Revenue growth. Support charter sales strategies. 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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" : "6a30892ef292fd229c092f31", "title" : "Regional Head of Business Operations - Wise Platform - Asia Pacific", "company" : "Wise", "industry" : "Financial Services", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive-level Regional Head of Business Operations in Singapore's FinTech industry, adjusted for seniority and company size." }, "location" : "Singapore, SG", "locations" : [ "Singapore", "SG" ], "timestamp" : "2026-06-16T12:54:29.347", "fingerprint" : "856908882b68e30c01c55489e10af696abe9cf47e3bd2d419fef1678d66721a9", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Wise/744000132108449-regional-head-of-business-operations-wise-platform-asia-pacific", "externalId" : "744000132108449", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Operational strategy", "Servicing model", "High-level strategy", "Hands-on execution", "Data analysis" ], "hardSkillsList" : [ "Operational metrics" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Operational metrics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Business Operations, Servicing Operations, Partner Success", "majorSkillsList" : [ "Business Operations", "Servicing Operations", "Partner Success" ], "coreResponsibilities" : "Own servicing and operational KPIs, Fix structural problems, Incubate operations from scratch, Own partners' operational success, Ensure KPIs and SLAs are stable, Influence operational teams, Ensure teams are set up correctly, Ensure teams have enough capacity, Ensure teams meet KPIs, Ensure teams prioritize correctly", "teamCollaboration" : "Cross-functional teams; Indirectly lead operational teams", "domainKnowledge" : "FinTech; Financial Services; Technology industries; Multi-currency infrastructure", "domainList" : [ "fintech", "financial-services", "technology-industries", "multi-currency-infrastructure" ], "domainSpecificKnowledge" : [ "FinTech", "Financial Services", "Technology industries", "Multi-currency infrastructure" ], "continuousLearning" : "Grow as a leader; Inspire cross-functional teams", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Enhance and scale servicing and operations; Ensure servicing model meets expectations; Ensure servicing model scales with growth; Ensure KPIs and SLAs are always green", "qualificationsBasic" : "Leadership in Operations, Track record in senior operational leadership roles, Ability to execute at very high level, Fluent with data, Ability to work across time horizons, Manage change and adapt to evolving business needs, Champion of operational excellence, Build and execute against KPI's, Enhance SLAs, Use data to find insights, Solve complex problems, Clear playbook for prioritizing work, Methodical approach to problem solving, Thrive and drive influence in autonomous environment", "qualificationsPreferred" : "SQL knowledge preferred, Python knowledge preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. And through [Wise Platform](https://wise.com/platform/), we enable banks and enterprise businesses to leverage our multi-currency infrastructure to serve their own customers. More about [our mission](https://wise.jobs/our-mission) and [what we offer](https://wise.jobs/what-we-offer). Your Mission As the Head of Business Operations, your mission is to enhance and scale our servicing and operations for our platform partners. You will lead the regional operational strategy, ensuring our servicing model meets the expectations of our partners and scales in line with our growth. What you will do: In this senior leadership role, you will balance high-level strategy with hands-on execution across multiple functional domains. Your focus will be there–fold: * Own Servicing and Operational KPIs: You own servicing and operational success in the region, working with cross-functional teams to fix structural problems when needed or incubate operations from scratch for new partnership types or products * Lead Partner Success: You own our partners’ operational success, ensuring that their KPIs and SLAs are stable and always green * Influence Without Authority: You influence and indirectly lead the operational teams in the region, ensuring that they are set up correctly to be high-performing, have enough capacity, consistently meet KPIs and are prioritising the right things for partners This role will give you the opportunity to: * Choose your path to impact: we believe people are most empowered when they can act autonomously. So rather than telling you what to do, you’ll work with your team to create a vision of your own. Of course, you can always gather feedback from smart, curious people across Wise but you’ll have the freedom to make your own calls * Grow as a leader: Grow and inspire cross-functional teams from customer success and servicing and operations to join our mission * Get amazing exposure: to the full breadth and depth of our product and servicing operations from customer support, FinCrime, regional expansion and new product launches * Be part of our mission: to make money without borders the new normal A bit about you: * Leadership in Operations. You have a successful track record in similar senior operational leadership roles within the FinTech, Financial Services or Technology industries, working with people and processes as well as products. Demonstrated ability to execute at very high level in a variety of customer service-type contexts * You’re passionate about helping customers. They are at the heart of what you do and that empathy drives your decisions * You’re entrepreneurial and hands-on. You have delivered high impact solutions end to end in data-driven environments * You are fluent with data , can use spreadsheets and analytics dashboards for insights, preferably you know SQL and Python. You are also familiar with interpreting and synthesizing qualitative data points such as customer contacts, operational cases and side-by-sides sessions * Ability to work across time horizons: you are able to translate partner requirements into a servicing model, formulate long-term strategies and 6-month plans, but also are able to ensure team accountability in the day-to-day, while maintaining strategic direction for the team among the constant noise of the BAU. * Well-rounded approach to operations and change: Adept at managing change and adapting to evolving business needs, optimising for best customer support within the constraints of our resources and other business needs. * You are a champion of operational excellence. You have the ability to build and execute against KPI's and enhance SLAs, you use data to find insights and solve complex problems. * Have a clear playbook for prioritising work , helping the team understand impact and making an inspiring roadmap for everyone to follow. * You approach problem solving in a methodical way , allowing the team to gain clarity over root cause issues and making it easier to correctly assess risk and migration strategies for it. * You are able to thrive and drive influence in a highly autonomous environment. ## Additional Information For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit [Wise.Jobs](https://www.wise.jobs/). Keep up to date with life at Wise by following us on [LinkedIn](https://www.linkedin.com/company/1769571/) and [Instagram](https://www.instagram.com/wisecareers/).", "summaryDescription" : "Regional Head of Business Operations - Wise Platform - Asia Pacific at Wise. Skills: Business Operations, Servicing Operations, Partner Success. Own servicing and operational KPIs. Fix structural problems", "postedDate" : "2026-06-15T03:44:31.000", "createdAt" : "2026-06-16T01:44:54.018", "lastUpdated" : "2026-06-16T12:54:29.347", "ingestTimestamp" : "2026-06-16T01:44:54.018", "mongoId" : "6a30892ef292fd229c092f31", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Operational metrics", "Leadership", "Business Operations", "Servicing Operations", "Partner Success", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Operational strategy", "Servicing model", "High-level strategy", "Hands-on execution", "Data analysis", "FinTech", "Financial Services", "Technology industries", "Multi-currency infrastructure" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb03474d8ee00a09d93d3", "title" : "Commercial Director, South East Asia", "company" : "Quantcast", "industry" : "Sales & Sales Support", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Director of Commercial role in Singapore's technology industry, adjusted for seniority and company size." }, "location" : "Singapore", "locations" : [ "Singapore" ], "timestamp" : "2026-06-15T03:48:16.040", "fingerprint" : "7ea829f4200c9a607e466fa101295be82b84fe70e1829b2926e7340a0551f148", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/quantcast/435e6ea6-b658-435a-a047-7f9d385f4f31/application", "externalId" : "435e6ea6-b658-435a-a047-7f9d385f4f31", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's Degree", "experienceLevel" : "Director", "technicalSkills" : "Salesforce.com", "professionalSkills" : [ "Revenue generation", "Deal closure", "Sales processes", "Client relationships", "Sales leadership", "Sales management", "Business development", "Forecasting", "ROI analysis" ], "hardSkillsList" : [ "Sales funnel management", "ROI demonstration" ], "softSkillsList" : [ "Leadership", "Hunter mentality", "Tenacity" ], "hardSkills" : [ { "name" : "Sales funnel management", "level" : "intermediate" }, { "name" : "ROI demonstration", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Hunter mentality" }, { "name" : "Tenacity" } ], "majorSkills" : "Sales, Revenue goals, Client engagement", "majorSkillsList" : [ "Sales", "Revenue goals", "Client engagement" ], "coreResponsibilities" : "Lead field advertising sales team, Exceed revenue goals, Recruit, grow, and manage a team, Manage sales function aspects, Develop new and incremental business, Set goals and ICP lists, Determine needs, Propose appropriate programs, Build trusted partnership with marketing, Drive thought leadership initiatives, Drive elite client engagement opportunities, Make sales calls throughout the territory, Drive revenue directly and through sales team, Develop and maintain high-level relationships with top-tier advertising, Regular reporting including forecasts against plans, Execute sales programs, Deliver campaigns, Drive marketing programs, Build understanding of Quantcast products, Build agency/direct client relationships with senior level executives, Represent Company as external evangelist, Attend industry events, conferences, panels, media/PR opportunities", "teamCollaboration" : "Work with VP, APAC; Work with marketing; Work with other functional areas", "domainKnowledge" : "Digital acquisition advertising; Brand advertising; Digital media; Audience-based selling; Online advertising processes; Online advertising technology", "domainList" : [ "digital-acquisition-advertising", "brand-advertising", "digital-media", "audience-based-selling", "online-advertising-processes", "online-advertising-technology" ], "domainSpecificKnowledge" : [ "Digital acquisition advertising", "Brand advertising", "Digital media", "Audience-based selling", "Online advertising processes", "Online advertising technology" ], "toolProficiency" : [ "Salesforce.com" ], "communicationSkills" : "Verbal communication; Written communication; Public speaking", "problemSolvingSkills" : "Analytical skills", "outcomesObjectives" : "Exceed revenue goals", "qualificationsBasic" : "10+ years sales experience, Online advertising experience, Current or previous management experience, Proven track record of establishing and exceeding team and individual goals, Proven track record of personally pitching and closing business, Building and managing a sales organisation, Analytical skills for managing a systematic sales funnel, Demonstrating ROI to advertisers, Understanding of fundamentals of online advertising processes and technology, Bachelors Degree or equivalent experience", "qualificationsPreferred" : "Contacts at both senior and junior levels is a plus, Experience in audience-based selling of digital media is ideal, Active in industry trade and networking events", "workSiteFlexibility" : "Onsite", "rawDescription" : "At Quantcast, we don't just build advertising technology, we revolutionize how it works. Our AI-powered Demand Side Platform (DSP) connects the world's most ambitious marketers with their ideal audiences across the open internet, delivering results that actually move the needle. Since 2006, we've been the industry's trailblazer, launching the first AI-powered measurement platform for publishers and the first AI-driven DSP. Our AI doesn't just optimize—it delivers the measurable outcomes that matter most to our clients, giving them the competitive edge they need in a crowded marketplace. Ready to join the team that's defining the future of digital advertising? Quantcast, a revolutionary audience intelligence and addressable advertising service, has aggressive plans for expansion and is growing its field sales team. The Commercial Director, SEA, will be an experienced digital media executive with deep knowledge of the digital acquisition and brand advertising the regional marketplace. This individual will be responsible for leading and growing a team across South East Asia working with top-tier agencies and direct marketers to exceed the team’s revenue goals. The ideal candidate will be a proven sales leader, effective manager, and respected by subordinates, colleagues, and customers. This candidate loves making sales calls with his/her team and builds deep relationships with agencies and clients. This individual will be based in our Singapore office covering the South East Asia territory. What you'll do: - - Responsible for leading a team of field advertising sales team to exceed revenue goals within planned sales expenses - Participate in recruiting, growing, and managing a team - Work with the VP, APAC to manage all aspects of the team’s sales function including developing new and incremental business, setting goals and ICP lists, determining needs, and proposing appropriate programs directly or via sales staff - Build a trusted partnership with marketing to drive thought leadership initiatives and elite client engagement opportunities - Be active in the field, making sales calls throughout the territory, and drive revenue directly and through the sales team - Develop and maintain strong high-level relationships with top-tier advertising agencies & clients - Regular reporting including forecasts against plans - Work closely with other functional areas to execute sales programs, deliver campaigns, drive marketing programs, etc. - Build an intimate understanding of Quantcast products and their place in the industry - Build agency/direct client relationships with senior level executives - Represent the Company as a key external evangelist at industry events, conferences, panels, media/PR opportunities, etc. Who you are: - - 10+ years sales experience in online advertising - Current or previous management experience - Proven track record of establishing and exceeding team and individual goals - Proven track record of personally pitching and closing business, in addition to building and managing a sales organisation - Strong analytical skills for managing a systematic sales funnel with key metrics, and for demonstrating ROI to advertisers - Outgoing and adept at creating professional relationships. Contacts at both senior and junior levels is a plus - Experience in audience-based selling of digital media is ideal - Strong understanding of fundamentals of online advertising processes and technology - Active in industry trade and networking events - Bachelors Degree or equivalent experience - Exceptional communication skills (both verbal and written) - Strong attention to detail and ability to QA own work - Hunter mentality, tenacity, and ability to “think on your feet” - Ability to work in a fast-paced and dynamic environment - Adept at using Salesforce.com At Quantcast, we craft offers that reflect your unique skills, expertise, and geographic location. On top of a competitive salary, this position includes a performance bonus, equity, and a comprehensive benefits package. For more details, visit our Careers Page https://www.quantcast.com/careers/ and see how we support our team. We are headquartered in San Francisco with offices around the world. Quantcast is an Equal Opportunity Employer. Please see the Applicant Privacy Notice https://legal.quantcast.com/#applicant-privacy-notice for details on our applicant privacy policy. Join the team that unlocks potential. ", "summaryDescription" : "Commercial Director, South East Asia at Quantcast. Skills: Sales, Revenue goals, Client engagement. Lead field advertising sales team. Exceed revenue goals", "createdAt" : "2026-06-13T21:46:38.966", "lastUpdated" : "2026-06-15T03:48:16.040", "ingestTimestamp" : "2026-06-13T21:46:38.966", "mongoId" : "6a2cb03474d8ee00a09d93d3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Sales funnel management", "ROI demonstration", "Leadership", "Hunter mentality", "Tenacity", "Sales", "Revenue goals", "Client engagement", "Revenue generation", "Deal closure", "Sales processes", "Client relationships", "Sales leadership", "Sales management", "Business development", "Forecasting", "ROI analysis", "Digital acquisition advertising", "Brand advertising", "Digital media", "Audience-based selling", "Online advertising processes", "Online advertising technology", "Salesforce.com" ], "skillCount" : 24, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2ca43874d8ee00a09b0bdc", "title" : "Commercial & Analytics Projects", "company" : "Picnic", "industry" : "E-Commerce", "salary" : { "min" : 55000.0, "max" : 80000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for E-commerce in Amsterdam, Netherlands, adjusted for mid-seniority and full-time employment." }, "location" : "Amsterdam, North Holland, Netherlands", "locations" : [ "Amsterdam", "North Holland", "Netherlands" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T08:05:06.822", "fingerprint" : "e007a30a43bb50fcd6d4e5c29f7a5518c7bbd1bf4800fd25bee9d21293b11aef", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.picnic.app/nl/vacancies?gh_jid=1052185", "externalId" : "1052185", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "minimumEducation" : "Master's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "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, GCP, Azure", "professionalSkills" : [ "Quantitative analysis", "Deal experience" ], "hardSkillsList" : [ "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Grit" ], "hardSkills" : [ { "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" } ], "softSkills" : [ { "name" : "Grit" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering" ], "coreResponsibilities" : "Own problems, Test ideas, Learn from mistakes, Solve puzzles, Build solutions", "teamCollaboration" : "Cross-functional teams; European scale teams", "domainKnowledge" : "Retail topics; Grocery shopping", "domainList" : [ "retail-topics", "grocery-shopping" ], "domainSpecificKnowledge" : [ "Retail topics", "Grocery shopping" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "SageMaker", "Vertex AI", "ML Studio" ], "communicationSkills" : "Explain complex concepts", "continuousLearning" : "Personal development; Lepaya courses; Academy trainings; OpenUp courses", "innovationCreativity" : "Innovate across borders; Redefine operations", "problemSolvingSkills" : "Solve real-life puzzles", "outcomesObjectives" : "Capitalize on growth opportunities; Redefine grocery shopping; Deliver results", "qualificationsBasic" : "Master's degree, 2-5 years experience, SQL proficiency, Python proficiency", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certifications", "workSiteFlexibility" : "Flexible", "rawDescription" : "In a nutshell As we continue to scale the best milkman on earth, we are looking for sharp minds that can help us further shape Picnic as we expand across Europe. We are looking for experienced hires with a background in top strategy consulting, private equity, investment banking, e-commerce or commercial roles, that can help us capitalize on the many growth opportunities Picnic has. Tricks of the trade Lead with ambition: Bring your relentless determination, creativity, and grit. Take the driver’s seat and redefine the grocery shopping experience for millions. You will be expected to think independently, move fast, and deliver results. Steep learning curve: Your growth comes from owning real problems, testing your ideas, learning from your mistakes and starting again. You'll move at a pace that accelerates your growth like nowhere else. Solve real-life puzzles: Spot opportunities, use tools at the forefront of technology, and own the outcome end to end. Not just making slides, but building the solution yourself. Innovate across borders: You’ll collaborate with teams across the Netherlands, Germany, and France, tackling challenges that redefine how Picnic operates at a European scale. High-performance environment: You’ll work alongside some of the best teams in analytics and tech, people who set a high bar and expect you to do the same. Your superpowers Master’s degree in Econometrics, Engineering, Finance, Math or an equivalent quantitative study 2-5 years of work experience in top tier management consulting, PE, investment banking, retail topics and hands-on deal experience Out-of-the-box thinking and initiative: hands-on, nothing-is-impossible mindset Strong communication skills in Dutch and English, allowing you to explain complex analytical concepts in a simple and practical way Proficient with SQL and Python or excited to learn Picnic Perks \uD83E\uDD57 Fresh Lunch, coffee, and snacks Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up. \uD83D\uDEB2 Health insurance discount & bike plan We have a partnership with CZ (a health insurance provider). Picnic employees get a discount on CZ insurance packages between 5% and 15%. Furthermore, through our partnership with Lease a Bike, you can rent-to-own a new (e)bike at a discounted rate \uD83D\uDDFA️ Relocation If you’re moving from another country to join Picnic we make it as smooth as possible for you. We’ll cover your flight costs for you and your partner and kids, your first month's rent and moving costs (up to €2000), and help you with the 30% tax ruling setup and application. \uD83C\uDF4E Learning & development You’ll get ample opportunity to work on yourself at Picnic. We offer personal development through Lepaya courses, Academy trainings, and more. Interested in improving your mental wellbeing? Through OpenUp you get free access to trained psychologists and many courses. \uD83D\uDCBB All the rest At Picnic you get 25 holidays, we cover your travel expenses and offer a pension plan. And your phone and laptop are on us, as well.", "summaryDescription" : "Commercial & Analytics Projects at Picnic. Skills: Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering. Own problems. 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Equip Sales Managers", "domainKnowledge" : "Sales lifecycle; Sales funnels; Conversion drivers; Pipeline management", "domainList" : [ "sales-lifecycle", "sales-funnels", "conversion-drivers", "pipeline-management" ], "domainSpecificKnowledge" : [ "Sales lifecycle", "Sales funnels", "Conversion drivers", "Pipeline management" ], "toolProficiency" : [ "CRM" ], "communicationSkills" : "Stakeholder management; Communication skills", "problemSolvingSkills" : "Translate commercial challenges into practical, scalable solutions", "outcomesObjectives" : "Improve productivity per Sales FTE; Ensure every hire converts leads efficiently; Reach full productivity quickly; Drive impact on key commercial KPIs; Improve conversion rates; Improve consistency", "qualificationsBasic" : "Proven experience in Sales, Sales Operations, or Sales Enablement, Understanding of sales funnels, Understanding of conversion drivers, Understanding of pipeline management, Experience building onboarding frameworks, Experience building ramp frameworks, Experience building performance tracking models, Ability to translate commercial challenges into practical, scalable solutions, Stakeholder management skills, Communication skills, Organisational skills in a fast-paced, international environment", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We are looking for an experienced candidate to oversee Commercial Excellence across Bolt’s Sales organisation. This is a global role driving productivity, ramp, and performance across all markets About us With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people. We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability. Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission! About the role As the Commercial Excellence Manager - Sales, you will be responsible for defining and scaling how we drive acquisition performance across Bolt Food. Your core mandate is to improve productivity per Sales FTE by owning how new hires ramp and how commercial execution is standardised across the organisation. The primary focus of this role is the first 90 days of the sales lifecycle, ensuring that every hire converts leads efficiently and reaches full productivity as quickly as possible. You will build structured onboarding, lead-based ramp models, and execution frameworks that translate hiring into measurable output. You will drive impact on key commercial KPIs such as time to first revenue, conversion rates, and share of reps reaching full productivity across 15+ markets. In this role you will partner closely with regional leadership to identify performance gaps across the sales funnel and implement scalable solutions that improve conversion and consistency. You will define the systems and standards, while Sales Managers remain accountable for performance outcomes. Main tasks and responsibilities: Sales Ramp & Onboarding (0-90 days) Own structured onboarding and ramp models (F30, F60, F90) with clear milestone gates and pass/fail criteria. Define lead-based ramp (e. g. ~100 leads per rep) and ensure consistent expectations on activity, pipeline, and deal readiness across markets. Ramp Scorecards & Early Performance Tracking. Build and own weekly ramp scorecards tracking activity, meetings, pipeline, and conversion. Define benchmark behaviour based on top performers and flag underperformance early, with focus on pre-90 day performance. Conversion & Commercial Execution. Improve conversion rates by building frameworks and training around pitching, objection handling, negotiation, and closing. Ensure consistent execution across the funnel. Playbooks, Materials & Pitch Quality. Own development and adoption of sales playbooks, pitch decks, and objection handling frameworks across SMB, ads, and complex deals. Ensure high usage and consistent quality in the field. Pipeline & CRM Discipline. Define and embed standards for lead management, pipeline tracking, and forecasting as part of onboarding and playbooks. Ensure consistent CRM usage and visibility across markets. Manager Enablement & Calibration. Equip Sales Managers with frameworks for pipeline reviews, deal coaching, and performance management. Support calibration and promotion processes to ensure consistent performance standards across teams. About you: You have a proven experience in Sales, Sales Operations, or Sales Enablement You have a strong understanding of sales funnels, conversion drivers, and pipeline management You have an experience of building onboarding, ramp frameworks, and performance tracking models You are able to translate commercial challenges into practical, scalable solutions You have strong stakeholder management and communication skills You have strong organisational skills in a fast-paced, international environment 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! Why you’ll love it here: Accelerate your professional growth with unique career opportunities. Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you. Take care of your physical and mental health with our wellness perks. Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge. Connect with colleagues at annual company events and smaller team gatherings. Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days. *Some perks may differ depending on your location and role. #LI-Hybrid", "summaryDescription" : "Commercial Excellence Manager at Bolt Technology. Skills: Commercial Excellence, Sales Enablement, Performance Management. Define and scale acquisition performance. Improve productivity per Sales FTE", "postedDate" : "2026-06-12T22:05:35.147", "createdAt" : "2026-06-12T22:05:35.147", "lastUpdated" : "2026-06-15T00:37:36.604", "ingestTimestamp" : "2026-06-12T22:05:35.147", "mongoId" : "6a2c5e4274d8ee00a08e28aa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Sales productivity", "Ramp productivity", "Commercial execution", "Lead conversion", "Sales funnel", "Pipeline tracking", "Forecasting", "CRM discipline", "Commercial Excellence", "Sales Enablement", "Performance Management", "Sales ramp", "Onboarding", "Performance tracking", "Sales playbooks", "Pitch decks", "Objection handling", "Pipeline management", "CRM usage", "Deal coaching", "Performance management", "Sales lifecycle", "Sales funnels", "Conversion drivers", "CRM" ], "skillCount" : 25, "jobCategory" : "other", "jobSubcategory" : "bolt-food", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "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" : "6a2cafb274d8ee00a09d78fd", "title" : "Support Specialist (Pacific Time)", "company" : "CertifID", "industry" : "Support", "salary" : { "min" : 48000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an Entry-level Support Specialist in the Cybersecurity industry in the United States, adjusted for a remote work mode and company size." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T06:54:07.090", "fingerprint" : "0d204c0848b2e63e0409520a017e053521fda0a07f766666b65b6ccb13760862", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/certifid/daf8d755-3312-4ba9-b9c4-35ae4b6c364c/application", "externalId" : "daf8d755-3312-4ba9-b9c4-35ae4b6c364c", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "domainKnowledge" : "Wire fraud", "domainList" : [ "wire-fraud" ], "domainSpecificKnowledge" : [ "Wire fraud" ], "remoteFriendly" : true, "rawDescription" : "Cybercrime is rising, reaching record highs in 2024. According to the FBI's IC3 report https://www.certifid.com/article/2023-fbi-ic3-report-what-you-need-to-know total losses exceeded $16 billion. With investment fraud and BEC scams at the forefront, the message is clear: the real estate sector remains a lucrative target for cybercriminals. At CertifID, we take this threat seriously and provide a secure platform that verifies the identities of parties involved in transactions, authenticates wire transfer instructions, and detects potential fraud attempts. Our technology is designed to mitigate risks and ensure that every transaction is conducted with confidence and peace of mind. We know we couldn’t take on this challenge without our incredible team. We have been recognized as one of the Best Startups to Work https://builtin.com/awards/austin/2025/best-startup-places-to-work for in Austin, made the Inc. 5000 list https://www.certifid.com/article/certifid-ranks-no-193-in-the-2023-inc-5000, and won Best Culture https://www.purpose.jobs/blog/best-company-culture by Purpose Jobs two years in a row. We are guided by our core values https://www.certifid.com/company/careers and our vision of a world without wire fraud. We offer a dynamic work environment where you can contribute to meaningful impact and be part of a team dedicated to enhancing security and fighting fraud. Not sure if you check all the boxes? Apply anyway! We know that great talent comes in many forms, and we value potential just as much as experience. If you're excited about this role and believe you can grow into it, we’d love to hear from you. We’re looking for people who are eager to learn, adapt, and solve challenges—so if that sounds like you, don’t let a checklist hold you back! Change doesn't happen overnight, and the same goes for us here at CertifID. We evolve collectively and individually as we grow by leaning into the core values that define us. As we grow, we embody GRIT https://www.certifid.com/company/company—collectively and individually—to raise the bar and influence outcomes in everything we do. Guard the Customer - Raise the Bar - Influence Outcomes - Teamwork Wins", "summaryDescription" : "Support Specialist (Pacific Time) at CertifID", "createdAt" : "2026-06-14T03:14:55.642", "lastUpdated" : "2026-06-15T06:54:07.090", "ingestTimestamp" : "2026-06-14T03:14:55.642", "mongoId" : "6a2cafb274d8ee00a09d78fd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Wire fraud" ], "skillCount" : 1, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Cybersecurity", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d0e6f74d8ee00a0ad7936", "title" : "Delivery Excellence Specialist", "company" : "Inizio Ignite", "industry" : "Consulting", "salary" : { "min" : 52000.0, "max" : 75000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Delivery Excellence Specialist in Dublin, Ireland, adjusted for the consulting industry." }, "location" : "Dublin, Dublin, Ireland", "locations" : [ "Dublin", "Dublin", "Ireland" ], "timestamp" : "2026-06-16T03:21:37.353", "fingerprint" : "2f104f773d96cccc1997c2935ef1525a7422186a6e85af7a69771887bac728f6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ashfieldadvisory/jobs/7988643", "externalId" : "7988643", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dublin", "state" : "Dublin", "country" : "Ireland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "53.3437061,-6.2544278" } ], "locationText" : "Dublin, Dublin, Ireland", "technicalSkills" : "Power BI, Tableau", "professionalSkills" : [ "Delivery enablement", "Delivery excellence", "Data visibility", "Operational efficiency", "Knowledge management", "Reporting", "Coordination", "Process improvement" ], "hardSkillsList" : [ "Data collection", "Content organization" ], "hardSkills" : [ { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Content organization", "level" : "intermediate" } ], "majorSkills" : "Delivery Excellence, Operations, Analytics", "majorSkillsList" : [ "Delivery Excellence", "Operations", "Analytics" ], "coreResponsibilities" : "Maintain and update Delivery SharePoint and other Delivery, Maintain delivery playbooks and templates for new offerings, Support organization and upkeep of centralized knowledge management, Ensure content is current, accessible, and consistently structured, Track and report on key delivery excellence metrics, Support client satisfaction measurement process through data collection, Assist in building dashboards and recurring reports for, Coordinate delivery excellence initiatives across teams and geographies, Support implementation of delivery frameworks, tools, and processes, Assist with internal, documentation, and status updates, Support rollout and adoption of delivery tools and, Maintain supporting documentation for delivery excellence tools, templates, Identify and escalate data quality or process gaps, Support development of thought leadership materials through research,, Ensure alignment of materials with internal standards and", "teamCollaboration" : "Global stakeholders across time zones", "projectManagementSkills" : [ "PMO" ], "domainKnowledge" : "Health and life science; Commercial benchmarking; Product launch; Market access", "domainList" : [ "health-and-life-science", "commercial-benchmarking", "product-launch", "market-access" ], "domainSpecificKnowledge" : [ "Health and life science", "Commercial benchmarking", "Product launch", "Market access" ], "toolProficiency" : [ "SharePoint", "Power BI", "Tableau" ], "documentationSkills" : "Supporting documentation", "problemSolvingSkills" : "Problem solving; Investigate solutions; Identify solutions; Challenge solutions", "qualificationsBasic" : "4-5 years of experience in professional service operations, PMO, operations, or analytics roles, Excel and PowerPoint skills, Comfortable working with global stakeholders across time zones", "qualificationsPreferred" : "Experience with reporting tools (e.g., Power BI, Tableau), Experience in professional services or life sciences, Learning agility to react quickly to business change, Problem solving capabilities with the ability to investigate, identify and challenge solutions as appropriate", "rawDescription" : "About Inizio Inizio is a global partner with over 10,500 experts operating in more than 50 countries. We support health and life science companies by turning science into strategy and executing across the product and patient journey. Our services include market research, strategy consulting, transformation consulting, and commercial benchmarking, all designed to be data-backed and patient-inspired. About Ignite Inizio Ignite is a trusted advisor for health and life science companies that turns science into strategy, supporting execution at every stage of the product and patient journey from early commercialization to launch and beyond. We provide market research and insights, strategy consulting, people and transformation consulting, and commercial benchmarking that has empowered world-leading strategies for portfolio development, product launch, franchising, HEOR, pricing, and market access —all expert-designed, data-backed, and completely patient-inspired. Summary This role supports the global Delivery Excellence function by driving consistency, data visibility, and operational efficiency across consulting engagements. The analyst will focus on maintaining delivery assets, supporting reporting and knowledge management, and enabling the execution of delivery improvement initiatives across business units. Key Responsibilities Delivery Assets & Knowledge Management Maintain and update Delivery SharePoint and other Delivery tools in the short-term, longer-term help to maintain delivery playbooks and templates for new offerings. Support the organization and upkeep of the centralized knowledge management system Ensure content is current, accessible, and consistently structured Reporting & Insights Support Track and report on key delivery excellence metrics (e.g., client satisfaction) Support the client satisfaction measurement process through data collection and reporting Assist in building dashboards and recurring reports for leadership PMO & Coordination Support Coordinate delivery excellence initiatives across teams and geographies. Initiatives could include knowledge management system implementation, annual NPS tracking, support of delivery accelerators for the use of AI, or the rationalization of existing delivery accelerators. Support implementation of delivery frameworks, tools, and processes Assist with internal , documentation, and status updates Tooling & Process Support Support rollout and adoption of delivery tools and technologies (including AI tools) , and maintain supporting documentation for delivery excellence tools, templates Identify and escalate data quality or process gaps Content & Thought Leadership Support Support development of thought leadership materials through research, formatting, and content organization Ensure alignment of materials with internal standards and priorities Qualifications 4-5 years of experience in professional service operations, PMO, operations, or analytics roles with emphasis on delivery enablement or excellence. Strong Excel and PowerPoint skills (required) Experience with reporting tools (e.g., Power BI, Tableau) preferred Strong attention to detail and organizational skills Ability to manage multiple tasks and work in a structured, process-driven environment Comfortable working with global stakeholders across time zones Experience in professional services or life sciences is a Strong learning agility to react quickly to business change Strong problem solving capabilities with the ability to investigate, identify and challenge solutions as appropriate. Our Pledge At Inizio, we value inclusivity, recognize the power of diversity, and inspire the next generation of change-makers. We are an equal opportunities employer and are committed to creating a dynamic work environment that values diversity, equity, and inclusion. We welcome all applications regardless of race, color, religion, gender identity, age, national origin, marital status, veteran status, genetic information, sexual orientation, or disability. Artificial Intelligence Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. Don't meet every requirement? That's okay! We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every qualification, we encourage you to apply anyway. Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.", "summaryDescription" : "Delivery Excellence Specialist at Inizio Ignite. Skills: Delivery Excellence, Operations, Analytics. Maintain and update Delivery SharePoint and other Delivery. Maintain delivery playbooks and templates for new offerings", "postedDate" : "2026-06-14T21:46:36.495", "createdAt" : "2026-06-14T21:46:36.495", "lastUpdated" : "2026-06-16T03:21:37.353", "ingestTimestamp" : "2026-06-14T21:46:36.495", "mongoId" : "6a2d0e6f74d8ee00a0ad7936", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data collection", "Content organization", "Delivery Excellence", "Operations", "Analytics", "Delivery enablement", "Delivery excellence", "Data visibility", "Operational efficiency", "Knowledge management", "Reporting", "Coordination", "Process improvement", "PMO", "Health and life science", "Commercial benchmarking", "Product launch", "Market access", "SharePoint", "Power BI", "Tableau" ], "skillCount" : 21, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cc34174d8ee00a0a08d68", "title" : "Senior Analyst, Commercial & Analytics", "company" : "Angi", "industry" : "Marketing", "salary" : { "min" : 68000.0, "max" : 90000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hybrid - Germany - Berlin", "locations" : [ "Hybrid - Germany - Berlin" ], "timestamp" : "2026-06-15T22:14:04.207", "fingerprint" : "7021ad2de92cd7693a1344b3b42bf46c52370386ad76131cf41ae8d9aa03c1a1", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/angi/2c49cb41-7942-41b5-974c-24bde39e221f/application", "externalId" : "2c49cb41-7942-41b5-974c-24bde39e221f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.5173885,13.3951309" } ], "locationText" : "Berlin, Germany", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Tableau, Looker, BigQuery", "professionalSkills" : [ "Marketplace strategy", "Pricing strategy", "Promotional strategy", "Quantitative analysis", "Strategic analysis", "Business acumen" ], "hardSkillsList" : [ "Data analysis", "Reporting", "A/B testing", "Process improvement", "Analytical capabilities" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" }, { "name" : "Analytical capabilities", "level" : "intermediate" } ], "majorSkills" : "Commercial strategy, Marketplace analytics, Data insights", "majorSkillsList" : [ "Commercial strategy", "Marketplace analytics", "Data insights" ], "coreResponsibilities" : "Analyze large datasets, Identify trends, Identify patterns, Identify insights, Develop strategic initiatives, Implement strategic initiatives, Develop reports, Maintain reports, Develop dashboards, Maintain dashboards, Develop visualizations, Maintain visualizations, Formulate A/B test frameworks, Identify process improvements, Implement process improvements, Leverage advanced analytical tools, Leverage AI tools, Optimize workflows, Develop recommendations, Deliver recommendations", "teamCollaboration" : "Broader marketing teams; Cross-functional teams; Sales teams; Marketing teams; Finance teams; Operations teams", "projectManagementSkills" : [ "Strategy development", "Project execution" ], "domainKnowledge" : "Two-sided marketplace; Commercial topics; Pricing trends", "domainList" : [ "two-sided-marketplace", "commercial-topics", "pricing-trends" ], "domainSpecificKnowledge" : [ "Two-sided marketplace", "Commercial topics", "Pricing trends" ], "toolProficiency" : [ "Tableau", "Looker", "BigQuery", "SQL" ], "communicationSkills" : "Actionable recommendations; Data-driven insights", "continuousLearning" : "Industry best practices; Emerging pricing trends; Technological advancements", "problemSolvingSkills" : "Interpreting data; Generating qualitative feedback; Evaluating metrics", "outcomesObjectives" : "Optimize customer value; Drive revenue growth; Drive LTV growth; Market expansion; Guide marketplace health", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. Angi at a glance: - Founded in 1995 as Angie’s List and rebranded in 2021 - Global company with 9 brands in 8 countries and employees worldwide - Homeowners have turned to us for 300 million home projects and counting About the team: We are seeking a Senior Analyst for our Commercial & Analytics team to drive strategic marketplace, pricing, and promotional decisions that optimize customer value. This team manages marketplace strategy across all brands, focusing on revenue growth and balance. You will lead marketplace initiatives and promotional strategies, partnering across the organization to ensure successful execution through quantitative and strategic analysis. This role reports into the Associate Director, Strategic Analytics and can be based out of any of our 4 office locations: Aix-en-Provence, Amsterdam, Berlin and London. What you’ll do: - Analyze large datasets to identify trends, patterns, and insights that inform business decisions. - Collaborate with broader marketing teams to develop and implement strategic initiatives that drive revenue/LTV growth and market expansion. - Develop and maintain comprehensive reports, dashboards, and visualizations to track key performance indicators (KPIs) that guide marketplace health. - Formulate A/B test frameworks to discern the impact of adjustments/new initiatives on marketplace & other business metrics. - Identify and implement process improvements to enhance data accuracy, reporting efficiency, and overall analytical capabilities. - Leverage advanced analytical tools and AI tools to optimize workflows. - Work closely with cross-functional teams including Sales, Marketing, Finance, and Operations to ensure alignment of commercial strategies with overall business objectives. - Develop and deliver clear, actionable recommendations to senior leadership, accompanied by data-driven insights and rationale. - Stay informed about industry best practices, emerging pricing trends, and technological advancements to continuously improve marketplace growth. Who you are: - 6+ years of professional experience as an analyst/senior analyst, preferably in a two-sided marketplace. - Bachelor's or Master’s degree in Business or a related field, with a strong analytical background. - Demonstrated capability to influence stakeholders and manage projects from strategy development through to successful execution. - Proficiency in data analysis & reporting tools (e.g.Tableau, Looker, and BigQuery/SQL, among others). - Comfortable utilizing AI tools to improve efficiencies and integrate their usage in daily work - Strong analytical skills and good at interpreting data, generating qualitative feedback and evaluating metrics to inform decision-making. - Good business acumen with a strong understanding of commercial topics. - Exceptional organizational skills, capable of managing multiple projects in a fast-paced environment. - Experience in campaign management in a customer centric environment is a plus. - Fluent in English, with strong verbal and written communication skills. Compensation & Benefits: - The salary band for this position ranges from €68,000 - €90,000, commensurate with experience and qualifications. - Hybrid work environment and home office set-up allowance - Temporary work from abroad policy - Regular team and social events", "summaryDescription" : "Senior Analyst, Commercial & Analytics at Angi. Skills: Commercial strategy, Marketplace analytics, Data insights. Analyze large datasets. Identify trends", "createdAt" : "2026-06-14T18:50:03.168", "lastUpdated" : "2026-06-15T22:14:04.207", "ingestTimestamp" : "2026-06-14T18:50:03.168", "mongoId" : "6a2cc34174d8ee00a0a08d68", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Reporting", "A/B testing", "Process improvement", "Analytical capabilities", "Commercial strategy", "Marketplace analytics", "Data insights", "Marketplace strategy", "Pricing strategy", "Promotional strategy", "Quantitative analysis", "Strategic analysis", "Business acumen", "Strategy development", "Project execution", "Two-sided marketplace", "Commercial topics", "Pricing trends", "Tableau", "Looker", "BigQuery", "SQL" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305abef292fd229cf54ff8", "title" : "Commercial Strategy and Analytics Manager", "company" : "Datavant", "industry" : "FinTech", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Manager in Healthcare in the United States, adjusted for seniority and remote work." }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "certifications" : [ "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "timestamp" : "2026-06-16T10:08:43.558", "fingerprint" : "ae591e867672128ba2c968e9dc7e6a96f51c6d371508a188590130a04366d149", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.datavant.com/about/careers/open-roles/job?gh_jid=5247280008", "externalId" : "5247280008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceLevel" : "Manager", "technicalSkills" : "Python, R, MATLAB, SQL, Bloomberg Terminal, Reuters Eikon, FactSet, Murex, Calypso", "professionalSkills" : [ "Financial modeling", "Portfolio management", "Risk assessment", "Quantitative analysis" ], "hardSkillsList" : [ "Financial analysis", "Data analysis", "Statistical modeling" ], "hardSkills" : [ { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" } ], "majorSkills" : "Financial instruments, Risk methodologies, Regulatory frameworks", "majorSkillsList" : [ "Financial instruments", "Risk methodologies", "Regulatory frameworks" ], "coreResponsibilities" : "Analyze financial data, Develop analytical models, Monitor market trends, Assess financial risks, Ensure regulatory compliance, Prepare financial reports, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Stakeholder engagement", "domainKnowledge" : "Financial instruments; Banking; Investment management; Trading; Risk management; Compliance; Insurance; Fintech; Accounting; SOX; Basel III/IV; MiFID II; Dodd-Frank; FINRA; SEC; FCA; GDPR; AML/KYC; Equities; Fixed income; Derivatives; Options; Futures; Swaps; FX; Structured products; Private credit; VaR; CVaR; Stress testing; Monte Carlo; Factor models; Credit scoring", "domainList" : [ "financial-instruments", "banking", "investment-management", "trading", "risk-management", "compliance", "insurance", "fintech", "accounting", "sox", "basel-iii-iv", "mifid-ii", "dodd-frank", "finra", "sec", "fca", "gdpr", "aml-kyc", "equities", "fixed-income", "derivatives", "options", "futures", "swaps", "fx", "structured-products", "private-credit", "var", "cvar", "stress-testing", "monte-carlo", "factor-models", "credit-scoring" ], "domainSpecificKnowledge" : [ "Financial instruments", "Banking", "Investment management", "Trading", "Risk management", "Compliance", "Insurance", "Fintech", "Accounting", "SOX", "Basel III/IV", "MiFID II", "Dodd-Frank", "FINRA", "SEC", "FCA", "GDPR", "AML/KYC", "Equities", "Fixed income", "Derivatives", "Options", "Futures", "Swaps", "FX", "Structured products", "Private credit", "VaR", "CVaR", "Stress testing", "Monte Carlo", "Factor models", "Credit scoring" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "communicationSkills" : "Report writing; Presentation skills", "documentationSkills" : "Financial reporting; Regulatory documentation", "problemSolvingSkills" : "Analytical skills; Problem-solving", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. What We’re Looking For What You Will Do OPTIONAL: What a Typical Day Looks Like What You Need to Succeed OPTIONAL: What Helps You Stand Out What We Offer To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren’t even able to see whether you’ve responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the ‘Interview Accommodation Request’ category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.", "summaryDescription" : "Commercial Strategy and Analytics Manager at Datavant. Skills: Financial instruments, Risk methodologies, Regulatory frameworks. Analyze financial data. Develop analytical models", "postedDate" : "2026-06-15T23:22:22.690", "createdAt" : "2026-06-15T23:22:22.690", "lastUpdated" : "2026-06-16T10:08:43.558", "ingestTimestamp" : "2026-06-15T23:22:22.690", "mongoId" : "6a305abef292fd229cf54ff8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Financial analysis", "Data analysis", "Statistical modeling", "Financial instruments", "Risk methodologies", "Regulatory frameworks", "Financial modeling", "Portfolio management", "Risk assessment", "Quantitative analysis", "Banking", "Investment management", "Trading", "Risk management", "Compliance", "Insurance", "Fintech", "Accounting", "SOX", "Basel III/IV", "MiFID II", "Dodd-Frank", "FINRA", "SEC", "FCA", "GDPR", "AML/KYC", "Equities", "Fixed income", "Derivatives", "Options", "Futures", "Swaps", "FX", "Structured products", "Private credit", "VaR", "CVaR", "Stress testing", "Monte Carlo", "Factor models", "Credit scoring", "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA", "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "skillCount" : 55, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "694ae6ce70f0b99d589b27ca", "title" : "Commercial Risk Analytics Manager", "company" : "Hyundai Capital America", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Financial Services in Irvine, United States, adjusted for company size and industry." }, "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "
Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "timestamp" : "2026-06-16T01:39:10.590", "fingerprint" : "10c905e78cca8653375e52ad1ec3175cfa27819915e0ddf7e9f52854cbedbd04", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=108543", "externalId" : "108543", "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 2 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 the following benefits: · Medical, Dental and Vision plans that include no-cost and low-cost plan options · Immediate 401(k) matching and vesting · Vehicle purchase and lease discounts plus monthly vehicle allowances · Paid Volunteer Time Off with company donation to a charity of your choice · Tuition reimbursement What to Expect The Commercial Risk Analytics Manager provides risk analytics and reporting related to the Dealer Finance, Commercial Vehicle Finance and Mobility portfolios. Responsibilities include data gathering, data analytics, reporting, model development/maintenance in support of new products, loss prevention, modeling, forecasting, origination and portfolio management. This role will provide accurate and current information in support of department and business’ policies, administration, regulatory (SOX), portfolio management and tracking, and key risk indicators. In addition, this role will investigate, collect, and analyze auto industry and economic information and data impacting credit risk, including but not limited to, information regarding economic trends forecasts, commercial real estate markets, emerging technology, competitor vehicles and sales, commercial vehicle financing and mobility areas. What You Will Do 1. Data Collection and Analysis · Gather, maintain, report, reconcile and analyze data with the most up-to-date, accurate and functionally useful information in support of department and business’ policies, administration and regulatory requirements · Build reports, dashboards and monitoring tools and early warning systems to enhance credit decision-making and information reporting to upper management and Risk Control Committee · Develop and enhance early warning, inventory analysis and risk management reports that can be leveraged by the Commercial and Sales teams to effectively manage risk in the Commercial & Mobility portfolios · Develop and maintain portfolio risk scorecards and underwriting risk models for Dealer, Commercial Vehicle and Mobility lending products and financial reporting · Develop Risk subject matter expertise in support of New Market Introductions and New Product Introductions by completing market/product research, Collaborate with Mobility team to assess and build out new markets and new products · Prepare loss estimates to support new Mobility products, including the development of probability of default and loss given default analyses · Develop and maintain monthly pre-approval lists in support of Subscription and other Commercial and new Mobility products · Support Dealer, Commercial Vehicle Finance and Mobility portfolio by developing and monitoring the scorecard performance and other key indicators. Analyze and recommend actions if indicators deviate from expected performance · Investigate and analyze auto industry, dealer and commercial vehicle financial statements, economic information and data impacting credit risk, including but not limited to economic trends forecasts, commercial real estate markets, Industry segment specific risks competitor vehicles and products and commercial vehicle financing areas · Ensure the accuracy of key credit assumptions that are inputs into the Pricing, Loss forecast, early warning, risk grading models, and develop tracking and analysis that enables periodic updates made in a systemic process to meet the needs of the business · Coordinate with the Commercial and Mobility teams to facilitate the integration of new systems, including the development of new and replacement reporting required to meet business needs. 2. Reporting · Produce reports on Allowance for Loan and Lease Losses (ALLL), IFRS9, CECL for Dealer, Commercial Vehicle Finance and Mobility portfolios · Support monthly, quarterly, ad hoc and annual OP requests from FP&A and Risk. · Develop appropriate forecasting tools and provide timely forecast projections for review and approval by Director Commercial Risk, Enterprise Risk Director and CRO. · Develop and provide reports to support ad-hoc strategic projects and deliverables · Produce periodic and ad-hoc reporting and respond to Corporate and field requests 3. Compliance and Communication · Perform verification of the CECL and IFRS9 and disclosure reports accuracy including input verifications, outcome reasonableness, and variance explanations in compliance with regulatory requirements (SOX). · Present the results to Commercial management for monthly sign-off and answer all the questions for smooth approval. · Conduct monthly meetings with Accounting, Finance, Commercial Credit, Mobility and Risk to share the results and provide clarifications. · Provide support and business rationale for external auditors with questions. · Create quarterly Memo for Commercial and Mobility portfolios including obtaining consensus from accounting and sign off from CRO and CFO 4. Project Management · Maintain project schedules, task details and coordinate efforts and deliverables with associates in department projects. · Maintain relevant support documentation for regulatory requirements. What You Will Bring · Minimum 5-7 years progressive experience in quantitative analysis within automotive captive, banking, commercial lending, equipment finance or related field. · Prior credit scorecard and statistical model development experience preferred. · Bachelor’s Degree in Business Administration, Mathematics, Economics, Operations Research, Statistics, Computer Science or related quantitative experience. · Demonstrate strong business acumen, technical skills and an ability to partner with stakeholders. · Strong PC skills; Python, SAS, SQL, Microsoft Access, Excel, Word, Power Point, VBA, Tableau. · Ability to work on multiple projects and attention to details and timeline. · Ability to explain complex data analysis. · Ability to develop statistical models (PD, LGD, Scorecards, Reserves, etc.). Work Environment Employees in this class are subject to extended periods of sitting, standing and walking, and using a computer. Work is performed in an 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" : "Commercial Risk Analytics Manager at Hyundai Capital America", "createdAt" : "2026-06-14T20:45:10.007", "lastUpdated" : "2026-06-16T01:39:10.590", "ingestTimestamp" : "2026-06-14T20:45:10.007", "mongoId" : "694ae6ce70f0b99d589b27ca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305abef292fd229cf54ff9", "title" : "Commercial Strategy and Analytics Manager", "company" : "Datavant", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Healthcare industry in the United States, adjusted for seniority and company size." }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-16T08:30:37.574", "fingerprint" : "35bff4604600380506ad472704ca6695e1cda3711a8c2e1bbb9ad61fb38f258e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.datavant.com/about/careers/open-roles/job?gh_jid=5247278008", "externalId" : "5247278008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. What We’re Looking For: As the Commercial Strategy and Analytics Manager at Datavant, you will play a crucial role within our Commercial Operations team. Your primary responsibility will be to support the transformation of the commercial organization through customer segmentation, go to market models design, sales strategy, and customer analytics. Your role requires a strong technical background, excellent analytical skills, and the ability to collaborate effectively in a fast-paced environment. What You Will Do: Drive commercial strategy through: Commercial analytics, executive reporting, and market insights that identify growth opportunities, client trends, and areas of strategic focus Building scalable dashboards, performance metrics, and account intelligence frameworks that support commercial decision-making across Client Success and cross-functional stakeholders Analyzing and synthesizing market, client, adoption, and revenue data to deliver actionable insights and forward-looking business recommendations Conducting market sizing, segmentation, whitespace, and competitive analysis to support strategic planning and prioritization Help refine and scale commercial operations by: Partnering cross-functionally with Client Success, Sales, Finance, Product, Business Intelligence, and Data teams to improve alignment across forecasting, planning, and commercial priorities Designing and operationalizing standardized reporting, analytics frameworks, and planning methodologies that improve consistency and scalability across teams Driving adoption and enablement of dashboards, tools, and analytics capabilities to improve visibility, decision-making, and execution Continuously improving reporting workflows, data quality, and insight delivery processes to support operational efficiency and business impact Improve commercial planning and business performance by: Supporting forecasting and demand planning processes through accurate, insight-driven analytics and standardized inputs Monitoring commercial performance trends, client engagement signals, and revenue pacing to proactively identify risks and opportunities Developing methodologies and tracking mechanisms that measure business performance, account health, and strategic progress Translating analytics into clear recommendations and action plans that support client growth, commercial performance, and operational priorities What You Need to Succeed: Bachelor’s degree in Business, Analytics, Information Technology, Economics, Engineering, or a related field; 15 years of equivalent experience will be considered in lieu of Bachelor’s degree Minimum of 7 years of experience in commercial strategy, business intelligence, revenue operations, analytics, management consulting, or a related role Experience supporting commercial planning, forecasting, account strategy, client success operations, and/or revenue performance initiatives Strong analytical skills with experience interpreting commercial, client, operational, and financial data to drive business decisions and strategic recommendations Experience developing dashboards, reporting frameworks, and performance metrics that support executive decision-making Proven ability to synthesize complex data into clear insights, action plans, and business recommendations Strong understanding of forecasting methodologies, commercial performance tracking, and operational planning processes Experience partnering cross-functionally with proven ability to influence stakeholders and drive alignment across teams in a fast-paced environment Strong project management, communication, and execution skills with the ability to manage multiple high-priority initiatives simultaneously Experience improving operational processes, reporting workflows, and analytics adoption across organizations What Helps You Stand Out: Master’s Degree in relevant field We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $120,000—$140,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren’t even able to see whether you’ve responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the ‘Interview Accommodation Request’ category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.", "summaryDescription" : "Commercial Strategy and Analytics Manager at Datavant", "postedDate" : "2026-06-15T23:23:23.617", "createdAt" : "2026-06-15T23:23:23.617", "lastUpdated" : "2026-06-16T08:30:37.574", "ingestTimestamp" : "2026-06-15T23:23:23.617", "mongoId" : "6a305abef292fd229cf54ff9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a309c22f292fd229c0f74ce", "title" : "Digital Analytics Specialist", "company" : "Monks", "industry" : "Consulting", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Senior Digital Analytics Specialist in Melbourne, Australia, within the Marketing industry, based on 2024-2025 market data." }, "location" : "Melbourne", "locations" : [ "Melbourne" ], "timestamp" : "2026-06-16T11:22:12.313", "fingerprint" : "c8f19d1941f59dc3a3b1a32d609f31d6f5559e6ad3aca3149877fae2faa417b6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.monks.com/careers/6037666004/job?gh_jid=6037666004", "externalId" : "6037666004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-37.8142454,144.9631732" } ], "locationText" : "Melbourne, Victoria, Australia", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Looker Studio, Tableau, GCP, BigQuery, AWS, Snowflake", "professionalSkills" : [ "Data strategy", "Measurement projects", "Client relationship", "Consultative discovery", "Technical implementations" ], "hardSkillsList" : [ "Digital audits", "Data reporting" ], "hardSkills" : [ { "name" : "Digital audits", "level" : "intermediate" }, { "name" : "Data reporting", "level" : "intermediate" } ], "majorSkills" : "Digital Analytics, Client facing, Data Strategy", "majorSkillsList" : [ "Digital Analytics", "Client facing", "Data Strategy" ], "coreResponsibilities" : "Manage client relationships, Manage client projects, Assist clients in understanding measurement importance, Provide best practice guidelines, Assist data team, Propel practice forward, Perform digital audits, Record findings, Make recommendations", "teamCollaboration" : "Knowledge growth of Monks team", "domainKnowledge" : "Marketing analytics; E-commerce analytics", "domainList" : [ "marketing-analytics", "e-commerce-analytics" ], "domainSpecificKnowledge" : [ "Marketing analytics", "E-commerce analytics" ], "toolProficiency" : [ "Looker Studio", "Tableau" ], "communicationSkills" : "Client relationship skills", "problemSolvingSkills" : "Consultative discovery; Recommendations", "outcomesObjectives" : "Driving value with expert knowledge", "qualificationsBasic" : "Enterprise-level client facing experience, Analytics consulting experience, Marketing project deployment experience, E-commerce project deployment experience, Data strategy development experience, Complex measurement project experience, Expert knowledge, Client relationship skills, Digital audits experience, Data reporting environments experience", "qualificationsPreferred" : "Familiarity with cloud data, Leveraging cloud data with marketing analytics data experience", "remoteFriendly" : false, "rawDescription" : "Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers). The Role Monks is looking for an experienced Digital Analytics Specialist with enterprise-level client facing experience in analytics consulting and the deployment of marketing and e-commerce projects. This experience should specifically include helping clients to develop data strategies, complex measurement projects, and experience driving value with expert knowledge and client relationship skills. You will be responsible for data acting as a thought leader for your client through consultative discovery and recommendations, and be an active participant in the knowledge growth of the Monks team. Manage the relationship and projects for enterprise clients from a delivery perspective Assist clients in understanding the importance of measurement, and provide best practice guidelines for their general data strategy, as well as specific technical implementations. Assist the data team in propelling our practice forward with new go to market initiatives and solutions. Client Onboarding: Perform digital audits for prospective clients and existing clients, recording findings and making recommendations across digital properties and data reporting environments. Data Management You have experience with BI/Data analysis tools (Looker Studio, Tableau, etc.). Familiarity with cloud data (GCP / BigQuery, AWS, Snowflake, etc.) and how to leverage it in conjunction with marketing analytics data is a big plus in consideration. #LI-LL1 About Monks Monks is the global, digital-first, data-driven, unitary operating brand of S4 Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global Marketing and Technology Services to redefine how brands interact with the world. Through Monks.Flow, its flagship AI ecosystem for marketing orchestration, Monks transforms marketing into a growth engine, collapsing timelines and connecting brands to culture in real time. By deploying bespoke intelligent agents across disciplines and delivering culturally relevant, high-impact creative and digital solutions, Monks solves key critical business challenges across the entire brand enterprise to help brands sustain long-term impact. Monks was named a Contender in The Forrester Wave™: Global Marketing Services, ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger’s Programmatic Power Players list every year (2020-24). Named Adweek’s first AI Agency of the Year (2023) and The One Show’s inaugural AI Pioneer Organization, Monks was also awarded Business Intelligence Group’s 2025 Excellence in Artificial Intelligence Award in both the Organizational and AI Product categories. As a trusted partner to cutting-edge innovators in tech, Monks earned titles such as Optimizely Experimentation Partner of the Year (2025), runner-up for the Adobe Firefly Partner Award (2024), and Workato’s AI Visionary Customer Impact Award (2024). Additionally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner. We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.", "summaryDescription" : "Digital Analytics Specialist at Monks. Skills: Digital Analytics, Client facing, Data Strategy. Manage client relationships. Manage client projects", "postedDate" : "2026-06-16T03:16:44.596", "createdAt" : "2026-06-16T03:16:44.596", "lastUpdated" : "2026-06-16T11:22:12.313", "ingestTimestamp" : "2026-06-16T03:16:44.596", "mongoId" : "6a309c22f292fd229c0f74ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Digital audits", "Data reporting", "Digital Analytics", "Client facing", "Data Strategy", "Data strategy", "Measurement projects", "Client relationship", "Consultative discovery", "Technical implementations", "Marketing analytics", "E-commerce analytics", "Looker Studio", "Tableau" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Marketing", "llmIndustryConfidence" : 0.95 }, { "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" : "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" : "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" : "6a2cc34174d8ee00a0a08d53", "title" : "Senior Analyst, Commercial & Analytics", "company" : "Angi", "industry" : "Marketing", "salary" : { "min" : 68000.0, "max" : 90000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hybrid - France - Aix-en-Provence", "locations" : [ "Hybrid - France - Aix-en-Provence" ], "timestamp" : "2026-06-15T11:59:57.244", "fingerprint" : "e47fe9a41bcc8cd0d72b4b6a0c20f50c7e9e0d296c54f397aa2ea4acef8eea5f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/angi/82b41972-4cd4-48ad-a18b-4ec273f6b9d2/application", "externalId" : "82b41972-4cd4-48ad-a18b-4ec273f6b9d2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Aix-en-Provence", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "43.5298424,5.4474738" } ], "locationText" : "Aix-en-Provence, France", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, BigQuery, Tableau, Looker", "professionalSkills" : [ "Marketplace strategy", "Pricing strategy", "Promotional strategy", "Revenue growth", "Customer value optimization", "Strategic analysis", "Quantitative analysis", "Business objectives alignment" ], "hardSkillsList" : [ "Data analysis", "Reporting", "Statistical analysis", "Trend identification", "Pattern identification", "Insight generation", "KPI tracking", "Metric evaluation" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Trend identification", "level" : "intermediate" }, { "name" : "Pattern identification", "level" : "intermediate" }, { "name" : "Insight generation", "level" : "intermediate" }, { "name" : "KPI tracking", "level" : "intermediate" }, { "name" : "Metric evaluation", "level" : "intermediate" } ], "majorSkills" : "Commercial analysis, Marketplace analytics, Strategic initiatives, Data-driven recommendations", "majorSkillsList" : [ "Commercial analysis", "Marketplace analytics", "Strategic initiatives", "Data-driven recommendations" ], "coreResponsibilities" : "Analyze large datasets, Identify trends, Identify patterns, Identify insights, Develop strategic initiatives, Implement strategic initiatives, Develop reports, Maintain reports, Develop dashboards, Maintain dashboards, Develop visualizations, Maintain visualizations, Track key performance indicators, Formulate A/B test frameworks, Identify process improvements, Implement process improvements, Enhance data accuracy, Enhance reporting efficiency, Enhance analytical capabilities, Leverage advanced analytical tools, Leverage AI tools, Optimize workflows, Develop recommendations, Deliver recommendations, Stay informed about industry best practices, Stay informed about emerging pricing trends, Stay informed about technological advancements", "teamCollaboration" : "Broader marketing teams; Cross-functional teams; Sales teams; Marketing teams; Finance teams; Operations teams; Senior leadership", "projectManagementSkills" : [ "Strategy development", "Project execution" ], "domainKnowledge" : "Two-sided marketplace; Commercial topics; Pricing trends", "domainList" : [ "two-sided-marketplace", "commercial-topics", "pricing-trends" ], "domainSpecificKnowledge" : [ "Two-sided marketplace", "Commercial topics", "Pricing trends" ], "toolProficiency" : [ "Tableau", "Looker", "BigQuery", "SQL", "AI tools" ], "communicationSkills" : "Verbal communication; Written communication; Actionable recommendations; Data-driven insights", "problemSolvingSkills" : "Interpreting data; Generating qualitative feedback; Evaluating metrics", "outcomesObjectives" : "Optimize customer value; Drive revenue growth; Drive LTV growth; Drive market expansion; Guide marketplace health; Ensure alignment of commercial strategies", "qualificationsBasic" : "6+ years of professional experience, Bachelor's or Master's degree, Proficiency in data analysis & reporting tools, Analytical skills, Good business acumen", "qualificationsPreferred" : "Experience in campaign management, Experience in a two-sided marketplace", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. Angi at a glance: - Founded in 1995 as Angie’s List and rebranded in 2021 - Global company with 9 brands in 8 countries and employees worldwide - Homeowners have turned to us for 300 million home projects and counting About the team: We are seeking a Senior Analyst for our Commercial & Analytics team to drive strategic marketplace, pricing, and promotional decisions that optimize customer value. This team manages marketplace strategy across all brands, focusing on revenue growth and balance. You will lead marketplace initiatives and promotional strategies, partnering across the organization to ensure successful execution through quantitative and strategic analysis. This role reports into the Associate Director, Strategic Analytics and can be based out of any of our 4 office locations: Aix-en-Provence, Amsterdam, Berlin and London. What you’ll do: - Analyze large datasets to identify trends, patterns, and insights that inform business decisions. - Collaborate with broader marketing teams to develop and implement strategic initiatives that drive revenue/LTV growth and market expansion. - Develop and maintain comprehensive reports, dashboards, and visualizations to track key performance indicators (KPIs) that guide marketplace health. - Formulate A/B test frameworks to discern the impact of adjustments/new initiatives on marketplace & other business metrics. - Identify and implement process improvements to enhance data accuracy, reporting efficiency, and overall analytical capabilities. - Leverage advanced analytical tools and AI tools to optimize workflows. - Work closely with cross-functional teams including Sales, Marketing, Finance, and Operations to ensure alignment of commercial strategies with overall business objectives. - Develop and deliver clear, actionable recommendations to senior leadership, accompanied by data-driven insights and rationale. - Stay informed about industry best practices, emerging pricing trends, and technological advancements to continuously improve marketplace growth. Who you are: - 6+ years of professional experience as an analyst/senior analyst, preferably in a two-sided marketplace. - Bachelor's or Master’s degree in Business or a related field, with a strong analytical background. - Demonstrated capability to influence stakeholders and manage projects from strategy development through to successful execution. - Proficiency in data analysis & reporting tools (e.g.Tableau, Looker, and BigQuery/SQL, among others). - Comfortable utilizing AI tools to improve efficiencies and integrate their usage in daily work - Strong analytical skills and good at interpreting data, generating qualitative feedback and evaluating metrics to inform decision-making. - Good business acumen with a strong understanding of commercial topics. - Exceptional organizational skills, capable of managing multiple projects in a fast-paced environment. - Experience in campaign management in a customer centric environment is a plus. - Fluent in English, with strong verbal and written communication skills. Compensation & Benefits: - The salary band for this position ranges from €68,000 - €90,000, commensurate with experience and qualifications. - Hybrid work environment and home office set-up allowance - Temporary work from abroad policy - Regular team and social events", "summaryDescription" : "Senior Analyst, Commercial & Analytics at Angi. Skills: Commercial analysis, Marketplace analytics, Strategic initiatives, Data-driven recommendations. Analyze large datasets. Identify trends", "createdAt" : "2026-06-14T05:08:15.000", "lastUpdated" : "2026-06-15T11:59:57.244", "ingestTimestamp" : "2026-06-14T05:08:15.000", "mongoId" : "6a2cc34174d8ee00a0a08d53", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Reporting", "Statistical analysis", "Trend identification", "Pattern identification", "Insight generation", "KPI tracking", "Metric evaluation", "Commercial analysis", "Marketplace analytics", "Strategic initiatives", "Data-driven recommendations", "Marketplace strategy", "Pricing strategy", "Promotional strategy", "Revenue growth", "Customer value optimization", "Strategic analysis", "Quantitative analysis", "Business objectives alignment", "Strategy development", "Project execution", "Two-sided marketplace", "Commercial topics", "Pricing trends", "Tableau", "Looker", "BigQuery", "SQL", "AI tools" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e430f8b1b0376634c778", "title" : "Sr. TPM, Asia Pacific (APAC), Kuiper Regulatory, Kuiper, Regulatory", "company" : "Amazon Kuiper Australia Pty Ltd", "industry" : "Project/Program/Product Management--Technical, Technical Program Management, alexa and amazon devices", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior TPM in Sydney, Australia, adjusted for the technology industry and large company size." }, "location" : "Sydney, New South Wales, AUS", "locations" : [ "Sydney, New South Wales, AUS" ], "timestamp" : "2026-06-15T00:52:18.660", "fingerprint" : "2b956383eb700c753156368fea506a4a526f8111131ffa817b10c2bb750b2ce5", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3074138/apply", "externalId" : "74ca1ea6-eac9-4b95-a11d-49d43a9bbe77", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Satellite communications", "professionalSkills" : [ "Regulatory licensing", "Program management" ], "hardSkillsList" : [ "Licensing schedules", "Compliance requirements", "Process improvements" ], "hardSkills" : [ { "name" : "Licensing schedules", "level" : "intermediate" }, { "name" : "Compliance requirements", "level" : "intermediate" }, { "name" : "Process improvements", "level" : "intermediate" } ], "majorSkills" : "Technical program management, Regulatory licensing, APAC region", "majorSkillsList" : [ "Technical program management", "Regulatory licensing", "APAC region" ], "coreResponsibilities" : "Define manage complex licensing schedules, Build organize automate reporting mechanisms, Manage tools dashboards, Extract regulatory compliance requirements, Assess responsibilities, Communicate clearly concisely accurately, Catalyze efficiencies process improvements, Set course face ambiguity, Deliver independently, Ask right questions, Clear blockers, Escalate appropriately, Track manage cross-functional licensing schedules, Archive license records, Ensure compliance license conditions, Design mechanisms manage compliance licensing, Automate streamline processes, Track progress, Anticipate bottlenecks, Communicate Regulatory risks clearly, Remove blockers, Deliver independently limited guidance", "teamCollaboration" : "Regulatory country leads; Other TPMs; Legal Business; Ground Infrastructure; Engineering Export Control", "projectManagementSkills" : [ "Program management", "Licensing schedules", "Process automation" ], "domainKnowledge" : "LEO satellites; Broadband connectivity; Satellite communications systems; Export control laws; International Telecommunication Union", "domainList" : [ "leo-satellites", "broadband-connectivity", "satellite-communications-systems", "export-control-laws", "international-telecommunication-union" ], "domainSpecificKnowledge" : [ "LEO satellites", "Broadband connectivity", "Satellite communications systems", "Export control laws", "International Telecommunication Union" ], "toolProficiency" : [ "Smartsheet" ], "communicationSkills" : "Written communication; Verbal communication", "problemSolvingSkills" : "Clear blockers; Escalate appropriately", "specialRequirements" : "Export control laws, Obtain export licenses", "outcomesObjectives" : "Enable on time service delivery; Deliver independently", "qualificationsBasic" : "6+ years technical product management, 6+ years business technical discussions, 3+ years Telecommunications regulatory, Experience project management tools, Experience data metrics improvement", "qualificationsPreferred" : "Licensing telecommunications systems globally, Knowledge non-geostationary satellite, Bachelor's degree engineering, Experience Smartsheet", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Project Kuiper is an initiative to launch a constellation of Low Earth Orbit (LEO) satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world. We require licenses in each country where we will provide Kuiper services, but there is no globally unified regulatory licensing regime for a LEO system like Kuiper. We are looking for a Sr. Technical Program Manager (TPM), APAC, Kuiper Regulatory to be based out of Singapore or Sydney. The Sr. Technical Program Manager will work closely with other leaders within the Regulatory Team and across Kuiper to manage the technical and regulatory requirements and dependencies, ensuring our licensing roadmaps for each country enable on time service delivery at scale. The right candidate will have successfully managed multi-discipline, telecommunications project initiatives; will have a well-rounded technical background in satellite communications; and possess excellent verbal and written communication skills. This position may require access to information, technology, or hardware that is subject to export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR). Employment in this position is contingent upon obtaining any required export licenses or other approvals from the United States government. As such, the successful candidate must be eligible to obtain any necessary export licenses or approvals based on their nationality, citizenship, and any other factors considered by the applicable export control regulations. Key job responsibilities · Defines and manages complex licensing schedules and dependencies at scale and drives teams to deliver to meet service availability objectives; · Builds, organizes and automates reporting mechanisms as a force multiplier; · Manages tools and dashboards to provide transparent program management status to all customers and stakeholders; · Extracts regulatory compliance requirements from license authorizations, assigns responsibilities, and assesses risks; · Communicates clearly, concisely, and accurately (written and verbal); · Catalyzes efficiencies and process improvements for faster business delivery; and · Sets a course in the face of ambiguity to deliver independently, asking the right questions, clearing blockers, and escalating appropriately. A day in the life In this role, you will own tracking and managing the cross-functional licensing schedules, archiving license records, and ensuring compliance with license conditions, with primary responsibility for the APAC Region. You will work closely with Regulatory country leads, other TPMs, Legal, Business, Ground Infrastructure, Engineering, and Export Control teams to ensure alignment with all stakeholders on a country and regional basis. As a Sr. TPM, you will design mechanisms to manage complex compliance and licensing processes, automate and streamline processes, track progress. You will anticipate bottlenecks, communicate Regulatory risks clearly to leaders, escalate effectively, and remove blockers. You will deliver independently with limited guidance across the APAC Region and its diverse regulatory frameworks. About the team The Regulatory Team obtains licenses for Kuiper services and earth stations in each country we will serve; advocates for rules and policies that benefit our customers; coordinates spectrum-use with satellite and terrestrial operators; files our constellation parameters with the International Telecommunication Union (ITU); and develops the data and analyses to support these activities. We partner with the Legal and Public Policy teams, and work in close collaboration with Public Affairs and Kuiper’s development, operations, and business teams. The Regulatory Team is organized into four sub-teams: Global Licensing, Domestic Regulatory Affairs, International, and Spectrum Analysis and Systems Engineering. Basic Qualifications: - 6+ years of technical product or program management experience - 6+ years of experience driving business and technical discussions/alignment, and communicating results to senior leadership - 3+ years of Telecommunications regulatory experience - Experience using and customizing project management tools - Experience using data and metrics to drive improvement Preferred Qualifications: - Experience with licensing telecommunications systems globally - Knowledge of non-geostationary satellite communications systems - Bachelor’s degree in engineering or other relevant discipline (e.g., communications) - Experience using and customizing Smartsheet 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" : "Sr. TPM, Asia Pacific (APAC), Kuiper Regulatory, Kuiper, Regulatory at Amazon Kuiper Australia Pty Ltd. Skills: Technical program management, Regulatory licensing, APAC region. Define manage complex licensing schedules. Build organize automate reporting mechanisms", "postedDate" : "2026-06-13T09:28:05.232", "createdAt" : "2026-06-13T09:28:05.232", "lastUpdated" : "2026-06-15T00:52:18.660", "ingestTimestamp" : "2026-06-13T09:28:05.232", "mongoId" : "68c2e430f8b1b0376634c778", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3074138/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Licensing schedules", "Compliance requirements", "Process improvements", "Technical program management", "Regulatory licensing", "APAC region", "Program management", "Process automation", "LEO satellites", "Broadband connectivity", "Satellite communications systems", "Export control laws", "International Telecommunication Union", "Smartsheet" ], "skillCount" : 14, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Telecommunications" }, { "id" : "6a2b0d0174d8ee00a075f954", "title" : "Commercial Analytics & Insights Manager", "company" : "Monocle", "industry" : "Media", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Manager in Media in London, UK, adjusted for seniority and company size." }, "location" : "London, GB", "locations" : [ "London", "GB" ], "timestamp" : "2026-06-15T06:52:33.221", "fingerprint" : "05ff013d2102c575cba3ba18c12c00ad71cbb916e1c77a94ab5ae5bde03bb9c5", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://monocle.breezy.hr/p/6fe7d5df077401-commercial-analytics-insights-manager", "externalId" : "6fe7d5df077401", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "rawDescription" : "About Monocle Monocle is an independent media brand that has built a global reputation for its coverage of international affairs, design, travel, fashion and more. Launched in London in 2007, the business has grown to include our magazine, daily newsletters, a round-the-clock radio station and inte", "summaryDescription" : "Commercial Analytics & Insights Manager at Monocle", "createdAt" : "2026-06-14T06:48:33.425", "lastUpdated" : "2026-06-15T06:52:33.221", "ingestTimestamp" : "2026-06-14T06:48:33.425", "mongoId" : "6a2b0d0174d8ee00a075f954", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305742f292fd229cf36bce", "title" : "People Analytics Specialist", "company" : "Perion Network Ltd", "industry" : "Technology", "salary" : { "min" : 200000.0, "max" : 325000.0, "currency" : "ILS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level People Analytics Specialist in Tel Aviv, Israel, within the Technology industry, adjusted for company size and specific role." }, "location" : "Tel Aviv, Israel", "locations" : [ "Tel Aviv", "Israel" ], "certifications" : [ "CCP", "CEBS" ], "timestamp" : "2026-06-16T08:34:20.868", "fingerprint" : "e37534f0d8bd934d4c855f5e13a3e62e82f889e64530737c091f7b3079e49d59", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/perionnetworkltd/jobs/4648988006", "externalId" : "4648988006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tel Aviv", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "32.0852997,34.7818064" } ], "locationText" : "Tel Aviv, Israel", "professionalSkills" : [ "Talent management", "Employee relations", "HR processes", "Organizational development", "Total rewards" ], "hardSkillsList" : [ "Data-driven decision making" ], "hardSkills" : [ { "name" : "Data-driven decision making", "level" : "intermediate" } ], "majorSkills" : "People analytics, Compensation, Benefits", "majorSkillsList" : [ "People analytics", "Compensation", "Benefits" ], "coreResponsibilities" : "Combine compensation expertise, Combine benefits expertise, Combine people analytics capabilities, Support data-informed decision making, Optimize total rewards offerings, Help attract top talent, Help retain top talent, Help motivate top talent", "teamCollaboration" : "HR team", "domainKnowledge" : "Advertising technology", "domainList" : [ "advertising-technology" ], "domainSpecificKnowledge" : [ "Advertising technology" ], "qualificationsBasic" : "Compensation and benefits expertise, People analytics capabilities", "qualificationsPreferred" : "Compensation relevant certifications", "rawDescription" : "Perion is a global advertising technology company delivering solutions to the biggest brands and publishers around the globe across search, social media and display, video, CTV, and programmatic DOOH. Home to an award-winning technology solution –– with our unique data-driven AI/ML based technologies, we deliver and optimize hundreds of terabytes of data and billions of events per day. We’re working with dozens of sources to provide a superior experience across screens and platforms, including mobile, video, social and native. Our team is growing! If you thrive in a fast-paced environment and have a passion for data-driven HR practices and innovative compensation programs, we want you on our team! Our team is composed of brilliant minds who are not afraid to challenge the status quo. We believe in fostering a culture of creativity, collaboration, and continuous improvement. We are seeking a People Analytics Specialist to join our HR team and play a key role in shaping the future of our organization. In this newly created position, you will combine hands-on compensation and benefits expertise with people analytics capabilities to support data-informed decision-making, optimize our total rewards offerings, and help attract, retain, and motivate top talent in the tech industr Responsibilities Compensation relevant certifications (e.g., CCP, CEBS) are a plus.", "summaryDescription" : "People Analytics Specialist at Perion Network Ltd. Skills: People analytics, Compensation, Benefits. Combine compensation expertise. Combine benefits expertise", "postedDate" : "2026-06-15T23:21:16.491", "createdAt" : "2026-06-15T23:21:16.491", "lastUpdated" : "2026-06-16T08:34:20.868", "ingestTimestamp" : "2026-06-15T23:21:16.491", "mongoId" : "6a305742f292fd229cf36bce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data-driven decision making", "People analytics", "Compensation", "Benefits", "Talent management", "Employee relations", "HR processes", "Organizational development", "Total rewards", "Advertising technology", "CCP", "CEBS" ], "skillCount" : 12, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c934074d8ee00a0987b3d", "title" : "Director, Data Analytics", "company" : "Ōura", "industry" : "Sports & Fitness", "salary" : { "min" : 220000.0, "max" : 300000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director, Data Analytics in San Francisco, USA, adjusted for the technology industry and company size." }, "location" : "San Francisco, CA, United States", "locations" : [ "San Francisco", "CA", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T08:42:58.885", "fingerprint" : "15b57f9753e73430876f408aa50cebc9709f9cbeb43b6d501e77c9851e30e480", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/oura/jobs/4173698009", "externalId" : "4173698009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San 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"Global KPIs", "Data dictionary", "Cross-functional collaboration", "Customer journey", "Business domain owners", "Data engineering", "Data science", "Unified data analytics", "Data technology", "Platform unification", "Data processing", "Data storage", "Terabyte scale", "Petabyte scale" ], "hardSkillsList" : [ "Data analytics", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Query languages", "Scripting languages", "BI visualization", "Data platforms", "ML frameworks", "Statistical modeling", "Regression analysis", "Classification analysis", "Clustering analysis", "Time-series analysis", "A/B testing", "Causal inference", "Cloud data services", "Data governance", "Data mesh", "Data quality", "Data integrity", "Data literacy", "Unified data mesh", "Global KPIs", "Data dictionary", "Data catalog", "Data products", "Data 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"Platform unification", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data storage", "level" : "intermediate" }, { "name" : "Terabyte scale", "level" : "intermediate" }, { "name" : "Petabyte scale", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Data analytics leadership, Analytics platform, Data lifecycle management, Data strategy execution", "majorSkillsList" : [ "Data analytics leadership", "Analytics platform", "Data lifecycle management", "Data strategy execution" ], "coreResponsibilities" : "Drive alignment of analytics standards, Lead high-performing analytics teams, Develop analytics teams, Enable creation of unified data catalog, Design data domains, Manage data domains, Develop data infrastructure platforms, Maintain data infrastructure platforms, Use AI agents for dashboards, Deliver automated insights, Deliver predictive analytics, Deliver anomaly detection, Ensure data governance compliance, Establish data management frameworks, Uphold data quality, Uphold data integrity, Translate data into insights, Enable global KPI metrics dashboard, Champion data management best practices", "teamCollaboration" : "Cross-functional collaboration; Partner with business owners; Partner with data engineering; Partner with data science; Partner with business teams", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Cloud data stacks; Data mesh; Data governance; Data residency; Privacy compliance; Security requirements", "domainList" : [ "cloud-data-stacks", "data-mesh", "data-governance", "data-residency", "privacy-compliance", "security-requirements" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "Data mesh", "Data governance", "Data residency", "Privacy compliance", "Security requirements" ], "toolProficiency" : [ "Tableau", "ThoughtSpot", "Looker", "SQL", "Databricks", "BigQuery", "Redshift", "VertexAI", "AWS", "GCP", "Azure", "S3" ], "communicationSkills" : "Actionable insights; Clear insights", "documentationSkills" : "Governed data dictionary", "innovationCreativity" : "Innovating with emerging data", "problemSolvingSkills" : "Translate business challenges", "outcomesObjectives" : "Accelerate business growth; Deepen product understanding; Deepen membership understanding; Optimize business operations; Drive business decisions; Drive business outcomes; Improve performance; Improve efficiency; Improve revenue; Shape future growth", "qualificationsBasic" : "10+ years leadership, 5+ years managing managers, SQL proficiency, Analytics tools proficiency, AWS/GCP/Azure familiarity, Databricks/BigQuery/Redshift familiarity", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "workSiteFlexibility" : "Onsite", "rawDescription" : "Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. Reporting to the VP of Data Engineering and Analytics, this role is to lead the Data Analytics team to enable global Analytics across Oura. About the Role We are seeking an experienced analytics platform leader as the Director for the Data Analytics team. In this role, you will be responsible for setting the vision and roadmap for the Analytics Data Lifecycle including Business Metrics, Business Glossary, Data Governance, Data Products to accelerate our business growth, deepen our product and membership understanding, and optimize our business operations. The core function is to define and execute the organization’s data strategy to drive business decisions and outcomes by bridging the gap between technical and business stakeholders, transforming data into actionable insights to improve performance, efficiency and revenue. You will lead a talented team of business and data analysts, acting as a player-coach to guide their work and develop their careers. As a key partner to leaders across the Data Engineering and Analytics organization, you will translate complex business challenges into a clear analytical roadmap, ensuring your team delivers accurate, trustworthy, and actionable insights that shape the future of Oura's growth. What You Will Do Vision drive alignment and adoption of analytics standards, metrics, and tools across domains. People leadership: Build, lead, and develop high‑performing analytics teams (including managing managers), acting as a player‑coach and fostering technical excellence and business impact. Data Products: Enable the creation of a unified data catalog. Design, visualize and manage data domains to enable the creation of interoperable, trustworthy data products that can be easily consumed by other domains, often through data pipelines and stores like data lakes or lakehouses. Self-Serve Platform Analytics Platform: Develop and maintain both prepared and self-serve data infrastructure platforms that provide domain teams with the tools and capabilities to create, manage, and consume data products. Use of AI Agents to deliver interactive dashboards with automated insights, predictive analytics, and anomaly detection Global Data Governance, Residency, Data Mesh Privacy: Ensure that our federated data governance of the data mesh and processes meet privacy, compliance, and security requirements. Establish scalable data management and governance frameworks that uphold data quality and integrity in line with industry best practices across multiple regions internationally Translate complex data into clear, actionable insights for stakeholders at all levels. Data Literacy: Enable global KPI metrics dashboard with a governed data dictionary to enable self service Champion best practices in data management of the global unified data mesh to ensure the accuracy, reliability, and trustworthiness of all data What You Have 10+ years of leadership in data/analytics; built high‑performing teams and cloud data platforms; 5+ years managing managers and scaling teams. Proven ability to lead the data lifecycle from definition through delivery; Master delivering measurable business outcomes and actionable insights; passion for data literacy. Experience innovating with emerging data technologies; attracting, developing, and inspiring top data talent. Proficiency with Analytics tools such as Tableau, ThoughtSpot, Looker, SQL, workflow engines, and stream processing. Hands‑on familiarity with AWS/GCP/Azure and Databricks / BigQuery / Redshift. Cross-Functional Collaboration: Experience working closely with the other leaders to ensure a holistic view of the customer journey from purchase to support. Partner with Business Domain Owners, Data Engineering, Data Science and Business teams to advocate for the unified data analytics and data governance best practices to succeed. Build, operate, and improve Oura’s Data lakehouse: Experience building and working with of a global data technology and platform that unifies data across systems to move, process, and store large amounts of data (Terabyte–Petabyte scale) leveraging tools such as Google Big Query, VertexAI, Databricks, Azure, AWS, S3, Spark / Glue, Athena, dbt, Iceberg, Snowflake, Docker, workflow engines, and more. Experience applying AI/ML and predictive analytics to drive efficiency, personalization, and growth. Specifically, AI/LLM Enablement and Readiness: Natural Language Processing (NLP) and Large Language Model (LLM) Design using Retrieval Augmented Generation (RAG), Vector based data architecture and design, Prompt Engineering to enable LLM reporting Experience leading data mesh delivery, management and governance Establish scalable data management and governance frameworks that uphold data quality and integrity in line with industry best practices. Experience leveraging AI, machine learning, and predictive analytics to enhance efficiency, personalization, and business growth Familiarity with some of the following: Tableau, Thoughtspot, Looker, Workflow engines, Stream processing, MLops, Spark, Athena, SQL, dbt, Databricks, Agentic AI. You are self-motivated, proactive, and able to lead and manage your own work effectively A pragmatic and goal oriented approach to development Nice to Have Experience in the healthcare, wellness, consumer electronics, wearables, digital health, or subscription services industries. Data and Platform Architecture, Agentic AI and ML Ops platform experience Security expertise in integrating diverse data sources, including product, transactional, and compliance data Embedded analytics into product, finance, sales, marketing, business operations, and customer experience Ability to navigate hypergrowth while managing regulatory constraints Strong people leader, capable of both strategic leadership and driving execution; experience leading and scaling data and analytics teams north of 10 Strong technical foundation, demonstrated through education or early-career hands-on roles Experience with production-quality AI/ML, predictive modeling, and leveraging analytics tools like VertexAI, MLOps, MLFlow, dbt, Microstrategy, Tableau, and Power BI, Thoughtspot Experience leading the development of a robust and scalable data platform that can support the organization’s growing data needs Advanced degree in Engineering, Data Science, Statistics, Computer Science, or a related field is preferred Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: Competitive salary and equity packages Health, dental, vision insurance, and mental health resources An Oura Ring of your own plus employee discounts for friends & family 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. Region 1 $226,100 - $266,000 We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: Our jobs are listed only on the ŌURA Careers page and trusted job boards. We will never ask for personal information like ID or payment for equipment upfront. Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. 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"IN" ], "certifications" : [ "HubSpot Certification" ], "timestamp" : "2026-06-16T11:04:28.397", "fingerprint" : "29501aeeb8a0c7abb0ceb4366a8ba9e419dba61b78e6c01a8783ebb409a0af8a", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/AllegisGlobalSolutions/744000132151519-digital-analytics-specialist", "externalId" : "744000132151519", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "HubSpot, Google Analytics, LinkedIn, Google PPC, Salesforce", "professionalSkills" : [ "Marketing channel analytics", "Data integrity", "Reporting", "Actionable insights", "Marketing automation", "Data hygiene", "Attribution", "Performance summaries", "Data cleanup", "Platform enhancements", "Testing", "Optimization" ], "hardSkillsList" : [ "Campaign management", "Funnel performance", "Attribution concepts" ], "hardSkills" : [ { "name" : "Campaign management", "level" : "intermediate" }, { "name" : "Funnel performance", "level" : "intermediate" }, { "name" : "Attribution concepts", "level" : "intermediate" } ], "majorSkills" : "Digital marketing, Marketing operations, Channel analytics, HubSpot administration", "majorSkillsList" : [ "Digital marketing", "Marketing operations", "Channel analytics", "HubSpot administration" ], "coreResponsibilities" : "Serve as HubSpot Super User and Administrator, Own day-to-day platform configuration, Manage user support, permissions, workflows, dashboards, Optimize marketing automation platform, Maintain marketing reporting infrastructure within HubSpot, Manage dashboards, campaign tracking and lifecycle reporting, Ensure data hygiene and governance practices, Analyze marketing and digital performance across channels, Identify trends, surface insights and recommend optimizations, Prepare and deliver performance summaries and presentations, Partner with Technology, CRM, and Sales Enablement teams, Maintain seamless integration between HubSpot and Salesforce, Support consistent data flow and reporting integrity, Deliver CRM and marketing automation enhancements, Improve scalability and reporting accuracy, Collaborate with external vendors and internal stakeholders, Support platform enhancements, renewals, integrations, and feature rollouts, Support testing and optimization efforts, Assist with measurement and learnings, Enable marketing team through training and documentation, Maintain up-to-date technology playbooks, best practices, and process", "teamCollaboration" : "Marketing leadership; Cross-functional partners; Technology teams; CRM teams; Sales Enablement teams; External vendors; Internal stakeholders", "domainKnowledge" : "Digital marketing performance; Marketing automation; CRM systems; Salesforce integrations; Multi-channel marketing", "domainList" : [ "digital-marketing-performance", "marketing-automation", "crm-systems", "salesforce-integrations", "multi-channel-marketing" ], "domainSpecificKnowledge" : [ "Digital marketing performance", "Marketing automation", "CRM systems", "Salesforce integrations", "Multi-channel marketing" ], "toolProficiency" : [ "HubSpot", "Google Analytics", "LinkedIn", "Google PPC", "CMS tools", "Sprout Social" ], "communicationSkills" : "Performance summaries; Presentations", "documentationSkills" : "Technology playbooks; Process guidance", "problemSolvingSkills" : "Problem-solving; Translating data", "outcomesObjectives" : "Improve campaign and funnel outcomes; Support accurate reporting, attribution and decision-making; Improve scalability and reporting accuracy", "qualificationsBasic" : "3-5 years of experience in digital marketing, marketing operations or channel analytics, Experience analyzing and reporting on multi-channel marketing performance, Understanding of campaign measurement, funnel performance and attribution concepts, Bachelor’s degree in marketing, business, analytics, or a related field, or equivalent practical experience", "qualificationsPreferred" : "HubSpot Certification strongly preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are founded on a culture that is passionate about transforming the way the world acquires talent by delivering client-focused solutions that make a difference for businesses worldwide. From refining how businesses manage their contingent workforce to strengthening employer brands to recruit top talent, our integrated solutions drive business results. As an industry leader, we draw upon decades of experience to design innovative tools, products and processes. We develop competitive practices that position organizations for growth and we deliver the insight needed to succeed in today's global marketplace. As a workplace, we focus on relationships – with each other, our clients and our candidates. In fact serving others is one of our core values. We support open communication and recognize that giving constructive criticism can be even harder than receiving it. We appreciate the fearless and the passionate, who force us to be better. Everything we do sits on a pillar of diversity - diverse perspectives, backgrounds and ideas drive innovation and make us successful. See what it’s like to work at AGS by searching [#LifeAtAGS](https://twitter.com/hashtag/lifeatags) on any social network. Job Summary The Marketing Performance & Analytics Specialist partners closely with the Digital Experience Manager to measure, analyze and optimize the organization’s digital marketing performance across channels. This role combines strong marketing channel analytics capabilities with hands-on ownership of HubSpot, ensuring data integrity, reliable reporting and actionable insights that improve campaign and funnel outcomes. As the primary HubSpot super user and administrator, this individual is responsible for managing reporting infrastructure, dashboards, workflows and data hygiene, while partnering with Sales Enablement and Technology to ensure aligned data, accurate attribution and effective use of HubSpot – Salesforce integrations. This position is ideal for a curious, detail-oriented self-starter who enjoys solving problems, improving systems and translating data into clear, actionable insights that influence marketing channel strategy and performance. Responsibilities * Serve as the HubSpot Super User and Administrator, owning day-to-day platform configuration, user support, permissions, workflows, dashboards, and ongoing optimization of the marketing automation platform. * Own and maintain marketing reporting infrastructure within HubSpot, including dashboards, campaign tracking and lifecycle reporting aligned to business outcomes * Ensure strong data hygiene and governance practices across marketing and CRM systems to support accurate reporting, attribution and decision-making * Analyze marketing and digital performance across channels (paid media, email, website and social) to identify trends, surface insights and recommend optimizations * Prepare and deliver regular and ad hoc performance summaries and presentations to marketing leadership and cross-functional partners, ensuring insights are accessible and actionable * Partner with Technology, CRM, and Sales Enablement teams to maintain seamless integration between HubSpot and Salesforce, supporting consistent data flow and reporting integrity * Deliver CRM and marketing automation enhancements, including lifecycle updates, property management and data cleanup initiatives to improve scalability and reporting accuracy * Collaborate with external vendors and internal stakeholders on platform enhancements, renewals, integrations, and feature rollouts aligned to business needs. * Support testing and optimization efforts, including A/B testing of emails, forms, landing pages, and digital experiences, and assist with measurement and learnings. * Enable the broader marketing team through training and documentation, maintaining up-to-date technology playbooks, best practices, and process guidance. ## Qualifications Qualifications, Skills and Experience * 3-5 years of experience in digital marketing, marketing operations or channel analytics-focused role with increasing responsibility for reporting and platform support * Strong working knowledge of HubSpot including reporting dashboards, workflows, properties, and user management; HubSpot Certification strongly preferred * Experience analyzing and reporting on multi-channel marketing performance, including paid media (LinkedIn, Google PPC), website analytics and email marketing * Understanding of campaign measurement, funnel performance and attribution concepts across digital channels * Familiarity with tool such as Google Analytics, ad platforms, CMS tools and social media automation tools (Sprout Social preferred). * Strong analytical and problem-solving skills, with the ability to connect data points and translate insights into clear, actionable recommendations * Highly organized and detail-oriented, with the ability to manage multiple priorities and maintain accurate documentation in a fast-paced environment. * Strong communication skills, with the ability to explain technical concepts clearly and partner effectively with Marketing, Technology, and Sales Enablement teams. * Demonstrated ability to work independently and collaboratively, showing ownership of work while contributing to cross-functional initiatives. * Bachelor’s degree in marketing, business, analytics, or a related field, or equivalent practical experience.", "summaryDescription" : "Digital Analytics Specialist at Allegis Global Solutions. Skills: Digital marketing, Marketing operations, Channel analytics, HubSpot administration. Serve as HubSpot Super User and Administrator. Own day-to-day platform configuration", "postedDate" : "2026-06-15T09:13:23.000", "createdAt" : "2026-06-16T00:24:46.138", "lastUpdated" : "2026-06-16T11:04:28.397", "ingestTimestamp" : "2026-06-16T00:24:46.138", "mongoId" : "6a305c47f292fd229cf613c7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Campaign management", "Funnel performance", "Attribution concepts", "Digital marketing", "Marketing operations", "Channel analytics", "HubSpot administration", "Marketing channel analytics", "Data integrity", "Reporting", "Actionable insights", "Marketing automation", "Data hygiene", "Attribution", "Performance summaries", "Data cleanup", "Platform enhancements", "Testing", "Optimization", "Digital marketing performance", "CRM systems", "Salesforce integrations", "Multi-channel marketing", "HubSpot Certification", "HubSpot", "Google Analytics", "LinkedIn", "Google PPC", "CMS tools", "Sprout Social" ], "skillCount" : 30, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a30615bf292fd229cf9637b", "title" : "Digital Analytics Specialist", "company" : "Allegis Global Solutions", "industry" : "Staffing And Recruiting", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Digital Analytics Specialist in Bengaluru, India, adjusted for the technology industry and company size." }, "location" : "Bengaluru, KA, IN", "locations" : [ "Bengaluru", "KA", "IN" ], "certifications" : [ "HubSpot Certification" ], "timestamp" : "2026-06-16T07:37:17.621", "fingerprint" : "fdab840156bb001d439cc8cd89e733a0921db8c45406b9ce96c8d069a3208d2d", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/AllegisGlobalSolutions/744000132151519-digital-analytics-specialist", "externalId" : "744000132151519", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "HubSpot, Google Analytics, LinkedIn, Google PPC, Salesforce", "professionalSkills" : [ "Marketing channel strategy", "Performance optimization", "Data integrity", "Reporting infrastructure", "Dashboard management", "Workflow management", "Data hygiene", "Attribution modeling", "Data analysis", "Insight generation", "Cross-functional alignment", "Data cleanup" ], "hardSkillsList" : [ "Marketing automation", "CRM systems", "Campaign tracking", "Lifecycle reporting", "A/B testing" ], "hardSkills" : [ { "name" : "Marketing automation", "level" : "intermediate" }, { "name" : "CRM systems", "level" : "intermediate" }, { "name" : "Campaign tracking", "level" : "intermediate" }, { "name" : "Lifecycle reporting", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" } ], "majorSkills" : "Digital marketing analytics, HubSpot administration, Marketing performance analysis, Data reporting", "majorSkillsList" : [ "Digital marketing analytics", "HubSpot administration", "Marketing performance analysis", "Data reporting" ], "coreResponsibilities" : "Serve as HubSpot Super User, Administer HubSpot platform, Manage HubSpot platform configuration, Provide HubSpot user support, Manage HubSpot permissions, Manage HubSpot workflows, Manage HubSpot dashboards, Optimize marketing automation platform, Maintain marketing reporting infrastructure, Manage HubSpot dashboards, Manage campaign tracking, Manage lifecycle reporting, Ensure data hygiene, Ensure data governance, Analyze marketing performance, Analyze digital performance, Identify trends, Surface insights, Recommend optimizations, Prepare performance summaries, Deliver performance summaries, Prepare presentations, Deliver presentations, Maintain HubSpot-Salesforce integration, Support data flow, Support reporting integrity, Deliver CRM enhancements, Deliver marketing automation enhancements, Update lifecycles, Manage properties, Perform data cleanup, Collaborate with vendors, Collaborate with stakeholders, Manage platform enhancements, Manage renewals, Manage integrations, Manage feature rollouts, Support testing efforts, Support optimization efforts, Perform A/B testing, Assist with measurement, Assist with learnings, Enable marketing team, Provide training, Provide documentation, Maintain technology playbooks, Maintain best practices, Maintain process guidance", "teamCollaboration" : "Marketing leadership; Cross-functional partners; Technology teams; CRM teams; Sales Enablement teams; External vendors; Internal stakeholders", "domainKnowledge" : "Digital marketing; Marketing operations; Channel analytics; Marketing automation; CRM systems; Paid media; Email marketing; Website analytics; Social media marketing; Campaign measurement; Funnel performance; Attribution concepts", "domainList" : [ "digital-marketing", "marketing-operations", "channel-analytics", "marketing-automation", "crm-systems", "paid-media", "email-marketing", "website-analytics", "social-media-marketing", "campaign-measurement", "funnel-performance", "attribution-concepts" ], "domainSpecificKnowledge" : [ "Digital marketing", "Marketing operations", "Channel analytics", "Marketing automation", "CRM systems", "Paid media", "Email marketing", "Website analytics", "Social media marketing", "Campaign measurement", "Funnel performance", "Attribution concepts" ], "toolProficiency" : [ "HubSpot", "Salesforce", "Google Analytics", "Sprout Social" ], "communicationSkills" : "Explain technical concepts", "documentationSkills" : "Maintain documentation; Maintain technology playbooks; Maintain best practices; Maintain process guidance", "problemSolvingSkills" : "Problem-solving; Translate data into insights", "outcomesObjectives" : "Improve campaign outcomes; Improve funnel outcomes; Improve marketing channel strategy; Improve marketing channel performance", "qualificationsBasic" : "3-5 years digital marketing experience, 3-5 years marketing operations experience, 3-5 years channel analytics experience, Experience analyzing multi-channel marketing performance, Experience reporting multi-channel marketing performance, Understanding of campaign measurement, Understanding of funnel performance, Understanding of attribution concepts, Analytical skills, Problem-solving skills, Highly organized, Detail-oriented, Ability to manage multiple priorities, Ability to maintain accurate documentation, Demonstrated ability to work independently, Demonstrated ability to work collaboratively, Bachelor's degree in marketing, Bachelor's degree in business, Bachelor's degree in analytics, Equivalent practical experience", "qualificationsPreferred" : "HubSpot Certification strongly preferred, Google Analytics familiarity, Ad platforms familiarity, CMS tools familiarity, Social media automation tools familiarity, Sprout Social preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are founded on a culture that is passionate about transforming the way the world acquires talent by delivering client-focused solutions that make a difference for businesses worldwide. From refining how businesses manage their contingent workforce to strengthening employer brands to recruit top talent, our integrated solutions drive business results. As an industry leader, we draw upon decades of experience to design innovative tools, products and processes. We develop competitive practices that position organizations for growth and we deliver the insight needed to succeed in today's global marketplace. As a workplace, we focus on relationships – with each other, our clients and our candidates. In fact serving others is one of our core values. We support open communication and recognize that giving constructive criticism can be even harder than receiving it. We appreciate the fearless and the passionate, who force us to be better. Everything we do sits on a pillar of diversity - diverse perspectives, backgrounds and ideas drive innovation and make us successful. See what it’s like to work at AGS by searching [#LifeAtAGS](https://twitter.com/hashtag/lifeatags) on any social network. Job Summary The Marketing Performance & Analytics Specialist partners closely with the Digital Experience Manager to measure, analyze and optimize the organization’s digital marketing performance across channels. This role combines strong marketing channel analytics capabilities with hands-on ownership of HubSpot, ensuring data integrity, reliable reporting and actionable insights that improve campaign and funnel outcomes. As the primary HubSpot super user and administrator, this individual is responsible for managing reporting infrastructure, dashboards, workflows and data hygiene, while partnering with Sales Enablement and Technology to ensure aligned data, accurate attribution and effective use of HubSpot – Salesforce integrations. This position is ideal for a curious, detail-oriented self-starter who enjoys solving problems, improving systems and translating data into clear, actionable insights that influence marketing channel strategy and performance. Responsibilities * Serve as the HubSpot Super User and Administrator, owning day-to-day platform configuration, user support, permissions, workflows, dashboards, and ongoing optimization of the marketing automation platform. * Own and maintain marketing reporting infrastructure within HubSpot, including dashboards, campaign tracking and lifecycle reporting aligned to business outcomes * Ensure strong data hygiene and governance practices across marketing and CRM systems to support accurate reporting, attribution and decision-making * Analyze marketing and digital performance across channels (paid media, email, website and social) to identify trends, surface insights and recommend optimizations * Prepare and deliver regular and ad hoc performance summaries and presentations to marketing leadership and cross-functional partners, ensuring insights are accessible and actionable * Partner with Technology, CRM, and Sales Enablement teams to maintain seamless integration between HubSpot and Salesforce, supporting consistent data flow and reporting integrity * Deliver CRM and marketing automation enhancements, including lifecycle updates, property management and data cleanup initiatives to improve scalability and reporting accuracy * Collaborate with external vendors and internal stakeholders on platform enhancements, renewals, integrations, and feature rollouts aligned to business needs. * Support testing and optimization efforts, including A/B testing of emails, forms, landing pages, and digital experiences, and assist with measurement and learnings. * Enable the broader marketing team through training and documentation, maintaining up-to-date technology playbooks, best practices, and process guidance. ## Qualifications Qualifications, Skills and Experience * 3-5 years of experience in digital marketing, marketing operations or channel analytics-focused role with increasing responsibility for reporting and platform support * Strong working knowledge of HubSpot including reporting dashboards, workflows, properties, and user management; HubSpot Certification strongly preferred * Experience analyzing and reporting on multi-channel marketing performance, including paid media (LinkedIn, Google PPC), website analytics and email marketing * Understanding of campaign measurement, funnel performance and attribution concepts across digital channels * Familiarity with tool such as Google Analytics, ad platforms, CMS tools and social media automation tools (Sprout Social preferred). * Strong analytical and problem-solving skills, with the ability to connect data points and translate insights into clear, actionable recommendations * Highly organized and detail-oriented, with the ability to manage multiple priorities and maintain accurate documentation in a fast-paced environment. * Strong communication skills, with the ability to explain technical concepts clearly and partner effectively with Marketing, Technology, and Sales Enablement teams. * Demonstrated ability to work independently and collaboratively, showing ownership of work while contributing to cross-functional initiatives. * Bachelor’s degree in marketing, business, analytics, or a related field, or equivalent practical experience.", "summaryDescription" : "Digital Analytics Specialist at Allegis Global Solutions. Skills: Digital marketing analytics, HubSpot administration, Marketing performance analysis, Data reporting. Serve as HubSpot Super User. 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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. 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} ], "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 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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. 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"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 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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. 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At our core, WD is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, WD is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. Program: Internship Program Department: Engineering / Manufacturing / Process / Data Analytics (varies by team) Duration: 2–6 months (typical) Target Onboarding: August/September 2026 Role Overview We are seeking motivated and detail-oriented interns from Data Analytics and Engineering-related disciplines to join our technical teams. This internship provides hands-on exposure to real-world engineering, manufacturing, and data analytics projects. Interns will support process improvement, data analysis, and technical investigations while working closely with engineers and cross-functional partners. This role is ideal for students who want practical experience in advanced manufacturing, process engineering, and data-driven problem solving. Key Responsibilities * Assist in analyzing engineering and manufacturing data to identify trends, issues, and improvement opportunities * Support process monitoring, optimization, and documentation activities * Work with engineers on experiments, tests, and technical evaluations * Help develop dashboards and reports for operational and process metrics * Participate in problem-solving and root cause analysis activities * Contribute to design of experiments (DOE) and statistical studies * Support data cleaning, validation, and ETL-related tasks * Prepare technical summaries and presentations of findings * Collaborate with cross-functional teams on assigned projects This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum ## Qualifications * Currently pursuing a Bachelor’s degree or has equivalent experience in any of the following majors or related programs: * Computer Science * Data Science * Industrial Engineering * Statistics * Physics * Mechanical Engineering / Mechatronics * Materials Science * Manufacturing Engineering * Strong analytical and problem-solving skills * Good written and verbal communication skills * Ability to work with large datasets and technical information * Detail-oriented with a structured and organized approach to tasks * Able to work both independently and collaboratively in a team environment Technical Skills (Preferred — not all required) * Basic knowledge of precision mechanics and manufacturing processes * Familiarity with thin-film processes and contamination control concepts * Understanding of metrology tools (e.g., AFM, profilometry) is a plus Exposure to: * Design of Experiments (DOE) * Statistical Process Control (SPC) * Failure analysis methods Programming / Analytics Tools: * Python or R * SQL Data & Reporting Tools: * Power BI or Tableau * Data visualization techniques Fundamentals of: * Statistical modeling * Machine learning basics * ETL processes What Interns Will Gain * Hands-on experience with real engineering and data projects * Exposure to advanced manufacturing and process technologies * Mentorship from experienced engineers and technical leaders * Practical experience with industry tools and analytics platforms * Opportunity to present project results to stakeholders ## Additional Information Important Reminders: * We provide free medical examination. * We do not collect any original requirements. * We do not collect any fees at any stage of the hiring process. WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@wdc.com](mailto:staffingsupport@wdc.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to [WD Ethics Helpline](https://secure.ethicspoint.com/domain/media/en/gui/48999/index.html) or email [compliance@wdc.com](mailto:compliance@wdc.com).", "summaryDescription" : "Data Analytics & Engineering INTERN at Western Digital. Skills: Data Analytics, Data Engineering. Analyze engineering and manufacturing data. 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At our core, WD is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, WD is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. Program: Internship Program Department: Engineering / Manufacturing / Process / Data Analytics (varies by team) Duration: 2–6 months (typical) Target Onboarding: August/September 2026 Role Overview We are seeking motivated and detail-oriented interns from Data Analytics and Engineering-related disciplines to join our technical teams. This internship provides hands-on exposure to real-world engineering, manufacturing, and data analytics projects. Interns will support process improvement, data analysis, and technical investigations while working closely with engineers and cross-functional partners. This role is ideal for students who want practical experience in advanced manufacturing, process engineering, and data-driven problem solving. Key Responsibilities * Assist in analyzing engineering and manufacturing data to identify trends, issues, and improvement opportunities * Support process monitoring, optimization, and documentation activities * Work with engineers on experiments, tests, and technical evaluations * Help develop dashboards and reports for operational and process metrics * Participate in problem-solving and root cause analysis activities * Contribute to design of experiments (DOE) and statistical studies * Support data cleaning, validation, and ETL-related tasks * Prepare technical summaries and presentations of findings * Collaborate with cross-functional teams on assigned projects This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum ## Qualifications * Currently pursuing a Bachelor’s degree or has equivalent experience in any of the following majors or related programs: * Computer Science * Data Science * Industrial Engineering * Statistics * Physics * Mechanical Engineering / Mechatronics * Materials Science * Manufacturing Engineering * Strong analytical and problem-solving skills * Good written and verbal communication skills * Ability to work with large datasets and technical information * Detail-oriented with a structured and organized approach to tasks * Able to work both independently and collaboratively in a team environment Technical Skills (Preferred — not all required) * Basic knowledge of precision mechanics and manufacturing processes * Familiarity with thin-film processes and contamination control concepts * Understanding of metrology tools (e.g., AFM, profilometry) is a plus Exposure to: * Design of Experiments (DOE) * Statistical Process Control (SPC) * Failure analysis methods Programming / Analytics Tools: * Python or R * SQL Data & Reporting Tools: * Power BI or Tableau * Data visualization techniques Fundamentals of: * Statistical modeling * Machine learning basics * ETL processes What Interns Will Gain * Hands-on experience with real engineering and data projects * Exposure to advanced manufacturing and process technologies * Mentorship from experienced engineers and technical leaders * Practical experience with industry tools and analytics platforms * Opportunity to present project results to stakeholders ## Additional Information Important Reminders: * We provide free medical examination. * We do not collect any original requirements. * We do not collect any fees at any stage of the hiring process. WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@wdc.com](mailto:staffingsupport@wdc.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to [WD Ethics Helpline](https://secure.ethicspoint.com/domain/media/en/gui/48999/index.html) or email [compliance@wdc.com](mailto:compliance@wdc.com).", "summaryDescription" : "Data Analytics & Engineering INTERN at Western Digital. Skills: Data Analytics, Data Engineering. Analyze engineering and manufacturing data. 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U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required. Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. More than 200 million Prime members around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. We are looking for an experienced, innovative, and strategic Senior Data Engineer. This leader is a technical leader responsible for driving the data architecture and engineering strategy for Amazon Prime Video Content and Digital Supply Chain. You will work closely with business stakeholders, technical stakeholders and data consumers to define the long-term vision and roadmap of right data infrastructure and architect solutions to tackle complex data challenges, and enable organization to scale the business, and you will be mentoring a team of talented data engineers. Key job responsibilities Architect and deliver exemplary data solutions that are efficient, scalable, maintainable, and aligned with business needs. Influence the overall data and analytics strategy for the Amazon Prime Video digital supply chain, identifying new opportunities to leverage data to drive business impact. Tackle intrinsically hard data problems, breaking down complex challenges into straightforward solutions. Set the standard for data engineering excellence, defining best practices and driving continuous improvement across data pipelines, data models, and analytics processes. Communicate technical concepts and tradeoffs effectively to both technical and non-technical audiences, building consensus and alignment. Mentor junior team members, including Data Engineers (DEs) and Business Intelligence Engineers (BIEs), helping them grow their skills and amplify their impact. Basic Qualifications: - 5+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience mentoring team members on best practices Preferred Qualifications: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience operating large data warehouses 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 $139,100/year in our lowest geographic market up to $240,500/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 Data Engineer, Amazon Prime Video Data, Analytics, Insight and Excellence Team at Amazon.com Services LLC. Skills: Data architecture, Data engineering, Data pipelines. Architect data solutions. Deliver data solutions", "postedDate" : "2026-06-13T17:08:38.483", "createdAt" : "2026-06-13T17:08:38.483", "lastUpdated" : "2026-06-15T06:24:53.590", "ingestTimestamp" : "2026-06-13T17:08:38.483", "mongoId" : "68c2e40cf8b1b0376634c1c0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3078829/apply", "salaryAnnualMin" : 139100, "salaryAnnualMax" : 240500, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Data warehousing", "ETL pipelines", "Data pipelines", "Analytics processes", "Leadership", "Mentoring", "Data architecture", "Data engineering", "Data engineering strategy", "Digital supply chain" ], "skillCount" : 11, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c7add74d8ee00a09471fe", "title" : "Intermediate Data Analytics", "company" : "AB InBev", "industry" : "Food & Beverage", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Analytics roles in Brazil, adjusted for mid-seniority, the food & beverage industry, and the city tier of Campinas." }, "location" : "Campinas, São Paulo, Brazil", "locations" : [ "Campinas", "São Paulo", "Brazil" ], "timestamp" : "2026-06-15T09:49:44.024", "fingerprint" : "2d47a7e473887ca103d16b45a16c152f654f1acf2b8936fce924b05d0a2c98ee", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/abinbev/jobs/8590377002", "externalId" : "8590377002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Campinas", "state" : "São Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-22.9056391,-47.0595640" } ], "locationText" : "Campinas, São Paulo, Brazil", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, DAX, Power BI", "professionalSkills" : [ "Data modeling", "Data visualization", "User-centric design", "Business strategies", "Ad hoc analysis", "Critical thinking" ], "hardSkillsList" : [ "Statistical analysis", "Data storytelling" ], "softSkillsList" : [ "Storytelling", "Resilient", "Strategic thinking" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data storytelling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Storytelling" }, { "name" : "Resilient" }, { "name" : "Strategic thinking" } ], "majorSkills" : "Data Analytics, Business Intelligence, Power BI, SQL", "majorSkillsList" : [ "Data Analytics", "Business Intelligence", "Power BI", "SQL" ], "coreResponsibilities" : "Design BI solutions, Model BI solutions, Maintain BI solutions, Query large datasets, Clean large datasets, Analyze large datasets, Transform findings into narratives, Apply data visualization best practices, Apply user-centric design, Deliver actionable dashboards, Deliver actionable reports, Collaborate with international teams, Partner with stakeholders, Deliver insights, Solve business challenges, Solve data challenges, Identify trends, Identify root causes, Identify opportunities", "teamCollaboration" : "International teams; Cross-functional stakeholders; Cross-functional teams", "domainKnowledge" : "BEES Personalization", "domainList" : [ "bees-personalization" ], "domainSpecificKnowledge" : [ "BEES Personalization" ], "toolProficiency" : [ "Power BI", "SQL" ], "communicationSkills" : "English communication; Explain complex concepts", "problemSolvingSkills" : "Root cause analysis; Data exploration", "outcomesObjectives" : "Drive business decision-making; Support informed decision-making", "qualificationsBasic" : "BAS/MS in Math, BAS/MS in Economics, BAS/MS in Statistics, BAS/MS in Engineering, BAS/MS in Computer Science, Advanced knowledge of Power BI, Advanced expertise in SQL, Intermediate English", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "rawDescription" : "About us AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa. About AB InBev Growth Group Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world. In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft. We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities. What you'll do: Design, model, and maintain end-to-end BI solutions in Power BI, including data modeling, DAX calculations, report building, and interactive dashboards that drive business decision-making. Use SQL to query, clean, and analyze large datasets, ensuring accuracy and reliability of the data used in reporting. Transform analytical findings into compelling narratives that connect data insights with business strategies for both technical and non-technical stakeholders. Apply best practices in data visualization and user-centric design to deliver impactful, intuitive, and actionable dashboards and reports. Collaborate with international teams as part of a global project, leveraging advanced English communication skills to ensure alignment, standardization, and knowledge sharing across regions. Partner with cross-functional stakeholders to deliver high-quality, actionable insights under tight deadlines with a proactive and solution-oriented mindset. Solve complex business and data challenges through ad hoc analysis, identifying trends, root causes, and opportunities by combining data exploration, critical thinking, and business context to support informed decision-making. What you'll need: BA/BS/MS in Math, Economics, Statistics, Engineering, Computer Science, or other related quantitative field. Advanced knowledge of Power BI (data modeling, DAX, report building, and dashboard design). Advanced expertise in SQL for querying and data preparation. Intermediate English (spoken and written) to effectively communicate insights with international stakeholders. Knowledge of statistics and statistical analysis techniques. Strong skills in data storytelling: ability to craft clear narratives that connect data insights to business strategy, ensuring stakeholders easily understand and act on the information. Understanding of data visualization best practices, design principles, and user-centric dashboards. Ability to translate complex datasets into insightful, visually compelling, and actionable reports. Organized and detail-oriented, capable of delivering under tight timelines while ensuring quality. Proactive, solution-oriented mindset with strong collaboration skills to work across cross-functional teams. More about you: Communication skills, with the ability to explain complex concepts clearly to both technical and non-technical audiences. Storytelling mindset, connecting data insights to business impact compellingly. Collaborative approach, working effectively with cross-functional and international teams while building trust and alignment. Detail-oriented, ensuring accuracy, reliability, and high-quality standards in all deliverables. Adaptable and resilient, comfortable managing tight deadlines and shifting priorities. Strategic thinking, always connecting insights to business outcomes and long-term goals. What We Offer: Performance-based bonus* Attendance Bonus* Private pension plan Meal Allowance Casual office and dress code Days off* Health, dental, and life insurance Medicines discounts WellHub partnership Childcare subsidies Discounts on Ambev products* Clube Ben partnership Scholarship* School materials assurance Language and training platforms Transport allowance *Rules applied Equal Opportunity & Affirmative Action: AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. The following fields are optional, but anticipate the information for your registration*. Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company. For more information: www.abinbev.com", "summaryDescription" : "Intermediate Data Analytics at AB InBev. Skills: Data Analytics, Business Intelligence, Power BI, SQL. Design BI solutions. Model BI solutions", "postedDate" : "2026-06-13T22:22:35.444", "createdAt" : "2026-06-13T22:22:35.444", "lastUpdated" : "2026-06-15T09:49:44.024", "ingestTimestamp" : "2026-06-13T22:22:35.444", "mongoId" : "6a2c7add74d8ee00a09471fe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Data storytelling", "Storytelling", "Resilient", "Strategic thinking", "Data Analytics", "Business Intelligence", "Power BI", "SQL", "Data modeling", "Data visualization", "User-centric design", "Business strategies", "Ad hoc analysis", "Critical thinking", "BEES Personalization" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c911f74d8ee00a0982093", "title" : "Account Executive (Data Analytics)", "company" : "Minitab", "industry" : "Technology", "salary" : { "min" : 560000.0, "max" : 840000.0, "currency" : "HKD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Account Executive in the Technology industry in Hong Kong, adjusted for company size and seniority." }, "location" : "Hong Kong", "locations" : [ "Hong Kong" ], "timestamp" : "2026-06-16T02:57:07.762", "fingerprint" : "056e7f21fcf2746b123ef4a0ed6581bb0d7b6d9aab414fc262ac59feab0b9fce", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/minitab/jobs/7621678003", "externalId" : "7621678003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hong Kong", "country" : "Hong Kong", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "22.2818333,114.1582831" } ], "locationText" : "Hong Kong, Hong Kong", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Value-based conversations", "Territory management", "Forecasting", "CRM hygiene" ], "hardSkillsList" : [ "Consultative selling", "Negotiation", "Closing skills" ], "hardSkills" : [ { "name" : "Consultative selling", "level" : "intermediate" }, { "name" : "Negotiation", "level" : "intermediate" }, { "name" : "Closing skills", "level" : "intermediate" } ], "majorSkills" : "New business sales, Mid-market segment sales, Data analytics sales", "majorSkillsList" : [ "New business sales", "Mid-market segment sales", "Data analytics sales" ], "coreResponsibilities" : "Own and execute new business sales strategy, Identify, qualify, and close net-new customer opportunities, Proactively prospect and engage senior stakeholders, Understand business challenges, Position Minitab as strategic solution, Lead full sales cycle, Build and manage pipeline, Maintain accurate forecasting, Gather and share competitive intelligence, Represent Minitab at customer meetings, Represent Minitab at industry events, Represent Minitab at partner engagements", "teamCollaboration" : "Virtual team-selling environment; Work with internal teams", "domainKnowledge" : "Data analytics; Manufacturing operations; Digital transformation", "domainList" : [ "data-analytics", "manufacturing-operations", "digital-transformation" ], "domainSpecificKnowledge" : [ "Data analytics", "Manufacturing operations", "Digital transformation" ], "toolProficiency" : [ "CRM" ], "communicationSkills" : "Executive engagement; Technical engagement; Business engagement", "specialRequirements" : "Frequent travel up to 60%", "outcomesObjectives" : "Achieve sales targets; Drive new business growth", "qualificationsBasic" : "3+ years B2B sales experience, Track record of achieving sales targets, Experience managing mid-market accounts, Fluent Mandarin, Excellent English communication skills", "qualificationsPreferred" : "Experience in technology, analytics, or enterprise software, Exposure to business intelligence, analytics, or statistical software", "workSiteFlexibility" : "Flexible", "rawDescription" : "Today, Minitab is one of the only software companies able to standardize data collection across manufacturing operations, from the factory floor to the quality lab and then turn that operational data into insights. This isn’t about selling a tool; it’s about helping customers establish a shared data foundation with best-in-class analytics that drives consistent improvement and confident decision-making end to end. As a Minitab sales professional, you’ll work with growing manufacturers at every stage of their digital transformation maturity level. Some are just beginning their data journey and need simple, practical ways to collect and understand their data. Others are ready for more advanced capabilities like statistical process control (SPC) and process digital twins to drive true operational excellence. Our portfolio allows you to land where they are today and expand as they grow, creating long-term customer value and repeatable sales success. You’ll be backed by a globally respected brand and solutions trusted by manufacturers around the world for the last 50 years. Minitab continues to be the partner of choice because we make advanced analytics accessible, scalable, and relevant to real manufacturing challenges, not theoretical ones. If you’re a mid-market seller who wants to lead value-based conversations, build lasting customer relationships, and sell solutions that manufacturers genuinely rely on, Minitab offers a career with impact, credibility, and growth. What You’ll Be Doing Own and execute a new business sales strategy for the mid-market segment across the Chinese market Identify, qualify, and close net-new customer opportunities Proactively prospect and engage senior stakeholders within manufacturing organisations, understanding their business challenges and positioning Minitab as a strategic solution Lead the full sales cycle, including discovery, solution positioning, product demonstrations, negotiation, and closing Build and manage a strong pipeline of new logo opportunities, maintaining accurate forecasting and CRM hygiene Work closely with internal pre-sales, marketing, and services teams in a virtual team-selling environment Gather and share competitive and market intelligence to continuously sharpen positioning within the territory Represent Minitab at customer meetings, industry events, and partner engagements across the region What We’re Looking For Proven hunter mentality — proactive, self-starting, and motivated by winning new business Strong experience selling B2B software or technology solutions into the manufacturing industry Ability to work independently, manage your own territory, and prioritise effectively in a fast-paced environment Comfortable with frequent travel (up to 60%) across the region Confident engaging with executive, technical, and business stakeholders Consultative selling approach with strong negotiation and closing skills Language Requirements Fluent Mandarin (native or business-native level) Excellent English communication skills (written and verbal) Experience & Background 3+ years of successful B2B sales experience, ideally in technology, analytics, or enterprise software. Track record of consistently achieving or exceeding sales targets (100%+ of quota) Experience managing mid-market accounts and closing deals. Exposure to business intelligence, analytics, or statistical software is a plus Why Join Minitab? High-impact role with clear ownership of new business growth Opportunity to build and shape a key market for the business Collaborative, international sales environment with strong enablement and support Competitive compensation and career growth opportunities within a global organisation", "summaryDescription" : "Account Executive (Data Analytics) at Minitab. Skills: New business sales, Mid-market segment sales, Data analytics sales. Own and execute new business sales strategy. Identify, qualify, and close net-new customer opportunities", "postedDate" : "2026-06-14T20:08:22.841", "createdAt" : "2026-06-14T20:08:22.841", "lastUpdated" : "2026-06-16T02:57:07.762", "ingestTimestamp" : "2026-06-14T20:08:22.841", "mongoId" : "6a2c911f74d8ee00a0982093", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Consultative selling", "Negotiation", "Closing skills", "New business sales", "Mid-market segment sales", "Data analytics sales", "Value-based conversations", "Territory management", "Forecasting", "CRM hygiene", "Data analytics", "Manufacturing operations", "Digital transformation", "CRM" ], "skillCount" : 14, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca42974d8ee00a09b06c1", "title" : "Senior Data / Analytics Engineer", "company" : "Metro Vein Centers", "industry" : "Healthcare", "salary" : { "min" : 150000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "West Bloomfield, Michigan, United States", "locations" : [ "West Bloomfield", "Michigan", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T00:08:33.890", "fingerprint" : "c7d74f7b3f5b9e144d0e12e1191ebf69a4b087a5101032152837ca84c9251e4b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/metroveincenters/jobs/4249713009", "externalId" : "4249713009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "workMode" : "remote" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "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, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Quantitative analysis", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Statistical modeling" ], "hardSkillsList" : [ "Regression analysis", "Classification modeling", "Clustering analysis", "Time-series forecasting", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification modeling", "level" : "intermediate" }, { "name" : "Clustering analysis", "level" : "intermediate" }, { "name" : "Time-series forecasting", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Machine learning, Business intelligence, Analytics engineering", "majorSkillsList" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering" ], "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 data analysis and generate insights, Collaborate with stakeholders to understand data needs, Ensure data quality and integrity, Stay updated with emerging data technologies", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Data science; Data engineering; Machine learning; Business intelligence; Analytics engineering; Quantitative analysis; Cloud data stacks; ML frameworks; BI platforms; Statistical methods; Modelling skills", "domainList" : [ "data-science", "data-engineering", "machine-learning", "business-intelligence", "analytics-engineering", "quantitative-analysis", "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods", "modelling-skills" ], "domainSpecificKnowledge" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Modelling skills" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "qualificationsBasic" : "5+ years of experience, SQL proficiency, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with specific ML frameworks, Experience with cloud platforms", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Metro Vein Centers is a rapidly growing healthcare practice specializing in state-of-the-art vein treatments. Our board-certified physicians and expert staff are on a mission to improve people’s quality of life by relieving the painful, yet highly treatable symptoms of vein disease—such as varicose veins and heavy, aching legs. With over 60 clinics across 7 states, and still growing, we’re building the future of vein care—delivering compassionate, results-driven care in a modern, patient-first environment. We proudly maintain a Net Promoter Score (NPS) of 93, the highest patient satisfaction in the industry. Location: NYC preferred or Remote | Full-time Experience: 5-8+ years in analytics engineering, modern data stack architecture, or data platform engineering Compensation: $150,000 DOE + bonus About Us Metro Vein Centers is a rapidly expanding healthcare organization with 70+ clinics across 8 states. We are a highly data-driven business operating at the intersection of healthcare, performance marketing, operations, and technology. As the organization has scaled rapidly, so has the complexity of our data ecosystem. We are now entering the next phase of maturity: building a scalable, governed, AI-ready data foundation that can support the future growth of the business. We are looking for a Senior Analytics Engineer to help lead that evolution. About the Role This is a foundational role within the Tech & Data organization, reporting directly to the Director of Tech & Data. You will help modernize and scale our data architecture across marketing, operations, finance, sales, and clinical systems while maintaining continuity for existing reporting, analytics, and business operations. This role is ideal for someone who thrives in high-growth environments and enjoys bringing structure, reliability, governance, and scalability to complex and evolving data ecosystems. You will play a central role in rebuilding and organizing our data foundation, establishing standards and architecture patterns, improving transformation and modeling practices, and helping create a modern healthcare data platform designed for long-term scale and AI-enabled workflows. This is not a pure backend engineering role. We are looking for someone who combines strong analytics engineering and warehouse architecture experience with practical business judgment and modern data stack expertise. What You’ll Own Data Architecture & Modernization Help design and implement a scalable modern data architecture within Google BigQuery Rebuild and organize fragmented data structures into standardized, maintainable models Establish naming conventions, modeling standards, lineage, and governance frameworks Help separate and structure sensitive vs non-sensitive data appropriately in a HIPAA-conscious environment Partner with leadership to define long-term warehouse and transformation architecture strategy Improve scalability and maintainability without disrupting existing business operations Analytics Engineering & Data Modeling Own and expand our dbt transformation layer and modeling practices Build clean, scalable transformation pipelines and business logic layers Create reliable curated datasets for analytics, reporting, operational workflows, and AI initiatives Standardize KPI logic and reduce duplicated transformation logic across systems Develop testing, QA, and documentation standards for data models and pipelines Improve data quality, observability, and reliability across the warehouse Data Pipelines & Platform Operations Build, maintain, and optimize ingestion and transformation pipelines across internal and third-party systems Work across platforms including: Google BigQuery dbt Fivetran Portable Improvado HubSpot Tableau Google Cloud Platform Troubleshoot pipeline failures, schema drift, integration issues, and data discrepancies Improve monitoring, documentation, and operational stability across the data stack AI-Ready Data Infrastructure Help build structured, reliable, AI-ready datasets and systems Partner with Tech & Data leadership on long-term AI infrastructure readiness Support future AI-enabled workflows, automation initiatives, and operational tooling Contribute to scalable data design practices that support evolving AI use cases across the business Cross-Functional Collaboration Partner closely with analysts, marketing, operations, finance, and technology stakeholders Support analysts by improving foundational data models and reducing engineering burden on analytics resources Collaborate with IT and leadership on governance, access, and long-term platform maturity Participate in architectural planning and technical roadmap discussions What You Bring Required Experience 5-8+ years in analytics engineering, data engineering, or modern data stack environments Strong expertise in SQL and warehouse-based data transformation workflows Hands-on experience with dbt and modern ETL workflows Deep experience working within Google BigQuery or comparable cloud data warehouses Proficiency with SFTP-based file transfer workflows, including key-based authentication, scheduled transfers, and error handling Experience designing scalable data models and transformation layers Experience working with complex operational and business systems data Strong understanding of data governance, documentation, testing, and QA practices Experience building and maintaining production-grade data pipelines Strong systems thinking and architectural judgment Ability to balance long-term architecture improvements with short-term operational stability Preferred Experience Experience with: Fivetran Portable Improvado Tableau HubSpot Google Cloud Platform Experience in healthcare or HIPAA-conscious environments Experience supporting marketing, operational, or revenue-focused analytics ecosystems Familiarity with AI-enabled data workflows and AI-ready platform design Experience helping mature or rebuild fragmented data environments Familiarity with Jira and collaborative technical project management workflows What Success Looks Like Within 12 months, this person will have helped: Establish scalable architecture and modeling standards across the warehouse Mature and expand the dbt transformation layer Improve documentation, lineage, governance, and data reliability Organize fragmented datasets into scalable, maintainable structures Improve separation and governance of sensitive vs non-sensitive data Reduce operational friction and engineering burden across the analytics ecosystem Build a more scalable and AI-ready data foundation for the future growth of the organization What We Offer Competitive compensation and bonus structure High ownership and autonomy Opportunity to help shape the long-term data architecture of a rapidly scaling organization Smart, collaborative, highly driven teammates Direct impact on operational performance, growth, and patient experience Opportunity to help build the next generation of healthcare data infrastructure and AI enablement at scale Benefits to Support Your Wellbeing & Lifestyle Full-time team members at Metro Vein Centers are eligible for: Medical, Dental, and Vision Insurance 401(k) Paid Time Off (PTO) + Paid Company Holidays Company-Paid Life Insurance Short-Term Disability Insurance Employee Assistance Program (EAP) Career Growth & Development Opportunities Compensation for this role varies based on years of experience, skill set, and alignment with position requirements. Compensation: $150,000—$150,000 USD The Metro Vein Centers Difference Healthy legs. Happier lives. At Metro Vein Centers, we believe exceptional care begins with an exceptional experience. Our mission is to make vein care approachable, empowering, and connected to overall well-being. From the first conversation to the final follow-up, every patient interaction reflects our commitment to compassion, expertise, and trust. A team united by purpose. Our values guide everything we do: Patients First, Always – Every interaction should make our patients feel valued, heard, and cared for. Stronger Together – Teamwork and collaboration drive our success. We lift each other up to deliver the best for our patients. A Can-Do Spirit – We meet every challenge with positivity, flexibility, and problem-solving energy. Results That Make a Difference – We’re driven to improve lives through meaningful, measurable outcomes. Commitment to Growth – We invest in our people, fostering advancement and professional development at every level. Metro Vein Centers is an Equal Opportunity Employer. We’re committed to creating a workplace where everyone feels seen, heard, and supported. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetics, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable federal, state, and local laws. This policy applies to all aspects of employment, including recruitment, hiring, promotion, compensation, benefits, and termination. Legal & Compliance Notice: Metro Vein Centers complies with all applicable federal, state, and local employment laws, including those related to nondiscrimination, equal opportunity, and pay transparency. Where specific disclosures or postings are required by law, we provide this information as part of our hiring process or upon request. Your privacy matters. To learn more about how we collect, use, and protect your information, please review our privacy policy here.", "summaryDescription" : "Senior Data / Analytics Engineer at Metro Vein Centers. Skills: Data engineering, Machine learning, Business intelligence, Analytics engineering. Develop and maintain data pipelines. Build and optimize data models", "postedDate" : "2026-06-14T19:16:23.010", "createdAt" : "2026-06-14T19:16:23.010", "lastUpdated" : "2026-06-16T00:08:33.890", "ingestTimestamp" : "2026-06-14T19:16:23.010", "mongoId" : "6a2ca42974d8ee00a09b06c1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Regression analysis", "Classification modeling", "Clustering analysis", "Time-series forecasting", "A/B testing", "Causal inference", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "Data science", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Modelling skills", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307f18f292fd229c055277", "title" : "Director, Data Analytics Specialist Sales, Google Cloud, APAC", "company" : "Google", "industry" : "Technology", "salary" : { "min" : 275000.0, "max" : 450000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director, Data Analytics Specialist Sales in Singapore, adjusted for Google's size and industry." }, "location" : "[Singapore, [Singapore], null, null, null, SG]", "locations" : [ "[Singapore, [Singapore], null, null, null, SG]" ], "timestamp" : "2026-06-16T12:22:47.629", "fingerprint" : "b66afe5c3bbc0cdb9f2e9b1b75116188e90228d107d1ed0865bc3a10e49feb09", "source" : "google", "language" : "en", "externalId" : "131162498773459654", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "experienceLevel" : "Director", "remoteFriendly" : false, "summaryDescription" : "Director, Data Analytics Specialist Sales, Google Cloud, APAC at Google", "postedDate" : "2026-06-16T01:52:10.146", "createdAt" : "2026-06-16T01:52:10.146", "lastUpdated" : "2026-06-16T12:22:47.629", "ingestTimestamp" : "2026-06-16T01:52:10.146", "mongoId" : "6a307f18f292fd229c055277", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Director", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb677aa6", "title" : "Data Analytics Engineer", "company" : "Mercedes-Benz Research and Development India", "industry" : "Manufacturing", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Analytics Engineer in Bengaluru, India, adjusted for mid-seniority level and the automotive industry." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations", "India-Karnataka-Bangalore", "'Embassy Crest' Plot No 5, , EPIP Zone, Phase 1, " ], "timestamp" : "2026-06-15T10:36:08.708", "fingerprint" : "2175e871fd68ba98fcacc5559eb6a7fc0d93e08c196cf2289a8ad112621b7dac", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=878225", "externalId" : "878225", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" }, { "city" : "Pune", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Bengaluru, India; Pune, India", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, NumPy, Pandas, Matplotlib, Plotly, SQL, AWS, GCP, Azure, CAN, LIN, MDF, ROS bags, ARXML", "professionalSkills" : [ "Data analysis", "Root cause analysis", "Model validation", "Performance analysis" ], "hardSkillsList" : [ "Statistical reporting", "Data cleaning", "Data preprocessing", "Data transformation", "Scenario extraction", "Dataset quality checks" ], "softSkillsList" : [ "Ownership mindset" ], "hardSkills" : [ { "name" : "Statistical reporting", "level" : "intermediate" }, { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Data preprocessing", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Scenario extraction", "level" : "intermediate" }, { "name" : "Dataset quality checks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership mindset" } ], "majorSkills" : "ADAS data analysis, Vehicle data analysis, Data visualization, Data pipelines", "majorSkillsList" : [ "ADAS data analysis", "Vehicle data analysis", "Data visualization", "Data pipelines" ], "coreResponsibilities" : "Analyze ADAS sensor data, Analyze vehicle dynamics data, Analyze ECU log data, Identify patterns, Identify anomalies, Identify performance trends, Understand ADAS algorithm behaviour, Understand KPI definitions, Understand performance metrics, Support model validation, Generate statistical reports, Generate performance summaries, Perform scenario-based evaluations, Build dashboards, Build data visualizations, Build automated reporting pipelines, Clean datasets, Preprocess datasets, Transform datasets, Perform root-cause analysis, Collaborate with engineers, Refine feature KPIs, Refine data requirements, Support scenario extraction, Support annotation reviews, Support dataset quality checks, Improve ADAS performance, Document findings, Document insights, Document recommendations", "teamCollaboration" : "Work with engineering teams; Collaborate with software engineers; Collaborate with systems engineers; Collaborate with calibration engineers; Work in cross-functional teams", "domainKnowledge" : "ADAS functions; ACC; AEB; LDW/LKA; BSD; CTA; Park Assist; TJA; Highway Assist; Automotive diagnostics; MDF log format; ROS bags format; ARXML format; Vehicle dynamics; Sensor fusion; ISO 26262; SOTIF; Automotive safety standards; AI/ML automotive applications; ADAS test vehicles; Simulation tools; Proving grounds", "domainList" : [ "adas-functions", "acc", "aeb", "ldw-lka", "bsd", "cta", "park-assist", "tja", "highway-assist", "automotive-diagnostics", "mdf-log-format", "ros-bags-format", "arxml-format", "vehicle-dynamics", "sensor-fusion", "iso-26262", "sotif", "automotive-safety-standards", "ai-ml-automotive-applications", "adas-test-vehicles", "simulation-tools", "proving-grounds" ], "domainSpecificKnowledge" : [ "ADAS functions", "ACC", "AEB", "LDW/LKA", "BSD", "CTA", "Park Assist", "TJA", "Highway Assist", "Automotive diagnostics", "MDF log format", "ROS bags format", "ARXML format", "Vehicle dynamics", "Sensor fusion", "ISO 26262", "SOTIF", "Automotive safety standards", "AI/ML automotive applications", "ADAS test vehicles", "Simulation tools", "Proving grounds" ], "toolProficiency" : [ "Jupyter", "Power BI", "Tableau", "Vector CANape", "Vector CANalyzer", "DSPACE", "OxTS", "Mobileye logs" ], "communicationSkills" : "Technical reports", "documentationSkills" : "Document findings; Document insights; Document recommendations", "problemSolvingSkills" : "Problem-solving; Root-cause analysis", "outcomesObjectives" : "Improve ADAS performance", "qualificationsBasic" : "Bachelor's/Master's degree, Python experience, NumPy experience, Pandas experience, Matplotlib/Plotly experience, Jupyter experience, SQL experience, Cloud data platforms experience, ADAS functions understanding, CAN familiarity, LIN familiarity, Automotive diagnostics familiarity, Log formats familiarity, Vehicle dynamics exposure, Sensor fusion concepts exposure, ML pipeline basics exposure, Power BI/Tableau experience, Analytical skills, Problem-solving skills, Communication skills", "qualificationsPreferred" : "Sensor data tools experience, ISO 26262 understanding, SOTIF understanding, Automotive safety standards understanding, AI/ML automotive applications familiarity, ADAS test vehicles experience, Simulation tools experience, Proving grounds experience", "remoteFriendly" : false, "rawDescription" : "About MBRDI: Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. Role Overview We are seeking a skilled Data Analyst with strong automotive analytics expertise to support our ADAS development, validation, and continuous improvement initiatives. The role involves analyzing large-scale vehicle datasets, driver behaviour insights, sensor performance logs, and algorithm outputs to deliver actionable insights for engineering, calibration, and safety teams. Key Responsibilities Analyze ADAS sensor data (camera, radar, lidar, ultrasonic), vehicle dynamics, and ECU log data to identify patterns, anomalies, and performance trends. Work with engineering teams to understand ADAS algorithm behaviour, KPI definitions, and performance metrics. Support model validation by generating statistical reports, performance summaries, and scenario-based evaluations. Build dashboards, data visualizations, and automated reporting pipelines for engineering and program teams. Clean, preprocess, and transform large datasets using Python, SQL, or cloud-based tools. Perform root-cause analysis of ADAS feature performance issues—false detections, missed detections, driver intervention events, etc. Collaborate with software, systems, and calibration engineers to refine feature KPIs and data requirements. Support scenario extraction, annotation reviews, and dataset quality checks. Work on continuous improvement of ADAS performance across markets, driving conditions, and environmental factors. Document findings, insights, and recommendations in clear technical reports. Required Skills & Qualifications Bachelor’s/Master’s degree in Engineering, Computer Science, Automotive Engineering, Data Science, or equivalent. Strong experience in Python, NumPy, Pandas, Matplotlib/Plotly, Jupyter. Hands-on experience with SQL and cloud data platforms (AWS/GCP/Azure preferred). Good understanding of ADAS functions such as: ACC, AEB, LDW/LKA, BSD, CTA, Park Assist, TJA, Highway Assist, etc. Familiarity with CAN, LIN, automotive diagnostics, log formats (MDF, ROS bags, ARXML). Exposure to vehicle dynamics, sensor fusion concepts, machine learning pipeline basics. Experience with visualization tools such as Power BI / Tableau. Strong analytical, problem-solving, and communication skills. Preferred / Nice-to-Have Skills Experience with sensor data tools (Vector CANape/CANalyzer, dSPACE, OxTS, Mobileye logs, etc.). Understanding of ISO 26262, SOTIF, and automotive safety standards. Familiarity with AI/ML applications in automotive. Experience working with ADAS test vehicles, simulation tools, or proving grounds. Soft Skills Strong ownership mindset and ability to work in cross-functional teams. Detail-oriented with a passion for data-driven engineering. Ability to break down complex engineering problems into simple insights. Qualifications - Bachelor’s/Master’s degree in Engineering, Computer Science, Automotive Engineering, Data Science, or equivalent. Why Join Us? Be part of a purpose-driven organization that’s shaping the future of mobility. Work on cutting-edge technologies and global projects. Thrive in a collaborative, diverse, and inclusive environment. Access world-class infrastructure and learning opportunities. Equal Opportunity Statement: At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "Data Analytics Engineer at Mercedes-Benz Research and Development India. Skills: ADAS data analysis, Vehicle data analysis, Data visualization, Data pipelines. Analyze ADAS sensor data. Analyze vehicle dynamics data", "createdAt" : "2026-06-14T01:53:16.158", "lastUpdated" : "2026-06-15T10:36:08.708", "ingestTimestamp" : "2026-06-14T01:53:16.158", "mongoId" : "69ce5e3b9bc74574cb677aa6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical reporting", "Data cleaning", "Data preprocessing", "Data transformation", "Scenario extraction", "Dataset quality checks", "Ownership mindset", "ADAS data analysis", "Vehicle data analysis", "Data visualization", "Data pipelines", "Data analysis", "Root cause analysis", "Model validation", "Performance analysis", "ADAS functions", "ACC", "AEB", "LDW/LKA", "BSD", "CTA", "Park Assist", "TJA", "Highway Assist", "Automotive diagnostics", "MDF log format", "ROS bags format", "ARXML format", "Vehicle dynamics", "Sensor fusion", "ISO 26262", "SOTIF", "Automotive safety standards", "AI/ML automotive applications", "ADAS test vehicles", "Simulation tools", "Proving grounds", "Jupyter", "Power BI", "Tableau", "Vector CANape", "Vector CANalyzer", "DSPACE", "OxTS", "Mobileye logs" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f57f292fd229c058281", "title" : "Senior Data and Analytics Engineer", "company" : "Velir", "salary" : { "min" : 160000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:32:01.810", "fingerprint" : "94ede4f511c38a9621a1a064142cdbb189de1e740bcae1d22083fe7aee1c9284", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/velir/jobs/5262333008", "externalId" : "5262333008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Spark, Dbt, Snowflake, BigQuery, Databricks, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Machine learning", "AI development" ], "hardSkillsList" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud data platforms", "level" : "intermediate" }, { "name" : "Machine learning models", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Machine learning, Business intelligence, Analytics engineering", "majorSkillsList" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering" ], "coreResponsibilities" : "Design data pipelines, Build data models, Develop ETL processes, Implement data warehousing solutions, Create business intelligence dashboards, Engineer analytics solutions, Develop and deploy machine learning models, Perform quantitative analysis, Conduct A/B testing, Apply causal inference techniques, Optimize data infrastructure, Ensure data quality and integrity, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Data science teams; Engineering teams; Product teams; Business stakeholders", "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" : [ "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "qualificationsBasic" : "5+ years of experience in data engineering, Proficiency in SQL, Experience with Python", "qualificationsPreferred" : "Master's degree preferred, Experience with dbt Cloud, Experience with MLflow, Experience with Databricks, Experience with Snowflake, Experience with BigQuery, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy focused on leadership, process improvement, implementation, and advanced analytics. At Velir, we believe people are our greatest asset. Our culture is built on a foundation of trust, collaboration, and continued improvement. We strive for excellence in everything we do, embracing challenges as opportunities for growth. Our success is driven by a shared passion for making a positive impact on our customers, our communities and each other. We are a remote first company that offers competitive pay and excellent benefits. Overview The Senior Data & Analytics Engineer will play a crucial role in helping our client organizations transform raw data into reliable, well-modeled assets that drive business decisions. This hybrid role bridges data engineering and analytics engineering — combining the infrastructure-building strengths of a data engineer with the transformation, modeling, and semantic layer expertise of an analytics engineer. Core responsibilities include Data Architecture Design, Data Modeling, ELT/ETL Development, Data Quality Assurance, and Scalability Optimization, with a strong emphasis on Databricks as the primary platform. Because our clients are mostly US-based organizations, we look for the ability to communicate with professional proficiency in English, verbally and in writing. Responsibilities Data & Analytics Engineering Expertise: You are responsible for building and maintaining the infrastructure and transformation layers that support the storing, movement, and modeling of data — enabling analysts, AI agents, and business stakeholders to confidently consume, interpret and take action. You will operate across both the data engineering and analytics engineering layers of the data stack, owning pipeline development and maintenance, as well as designing and building the resultant data models. Design, build, and maintain scalable data pipelines and ELT workflows, with Databricks as the primary platform Develop and maintain dbt models that are well-documented, tested, and structured for long-term maintainability Own data modeling decisions and methodology — defining entities, relationships, and grain — in collaboration with analytics and business stakeholders Consistently seek out and deliver on engagement-level vision, tasks, and problems Regularly delivers meaningful improvements to clients' data infrastructure and analytical capabilities Autonomous in approach and provides technical guidance to less experienced engineers Cross-Team Collaboration: You are responsible for collaborating with peers and other functional departments to develop and implement data strategies that support engagement goals and client needs. Collaborate with other data engineers and analytics engineers, data analysts, and clients on end-to-end data requirements Partner with clients and functional managers to plan for data engineering and modeling needs for product or feature launches Create processes and/or documentation templates that help cross-functional teams solve common data problems Drive data solution improvements that impact the client experience or empower internal stakeholders to do their jobs effectively Take initiative to identify, communicate, and solve important problems, coordinating with others on cross-cutting technical issues Project Delivery: You are responsible for ensuring that data engineering and analytics engineering projects are delivered on time, within scope, and within budget. Architect and design data systems and transformation layers using patterns that allow for iterative delivery and future scaling Proactively identify and address technical debt with careful evaluation of development cost Optimize for predictability and a regular cadence of deliverables Keep reliability, maintainability, and scalability of client systems top of mind Ability to identify and prioritize unowned or unglamorous work that enables the broader team to move faster Skills & Qualifications Proven experience as a Data Engineer, Analytics Engineer, or in a hybrid or generalist role, with a focus on designing and developing data pipelines and transformation layers Strong programming skills in Python and SQL Hands-on, deep expertise with Databricks — including Delta Lake, Unity Catalog, and Databricks workflows Strong proficiency with dbt for data transformation, testing, and documentation Demonstrated experience in data modeling — including dimensional modeling, entity-relationship design, and semantic layer development Deep knowledge of data warehousing and ELT/ETL processes Familiarity with data integration and orchestration platforms (e.g., Fivetran, Apache Airflow, Azure Data Factory) Experience with cloud platforms such as AWS, Azure, or Google Cloud Experience with other cloud data warehouses such as Snowflake or Motherduck is a plus Experience with streaming solutions such as Spark Streaming or Kafka is desirable but not required Familiarity with MLOps techniques and platforms is a plus but not required Strong analytical and problem-solving skills Excellent communication and collaboration skills Familiarity with leveraging coding assistants such as Claude Code, CoPilot, and/or Codex is a plus Physical Requirements Frequent sitting at a desk performing work on a computer Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Compensation Range: $160,000 - 175,000 annually Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role. Core Company Values Take the Long View - Ensure the company is built to last Be Courageous - Make the right decisions even when they aren't the easiest decisions Be Genuine - Bring honesty and authenticity to all that you do Work with Focus + Passion - Display purpose and pride in your work and never stop learning As an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from all backgrounds and experiences to successfully shape a positive employee experience as well as deliver our product and service solutions. To that end, we actively seek candidates who can bring diverse experiences and backgrounds to our team. We know that complex factors and systemic bias can get in the way of us meeting strong candidates, so please don't hesitate to apply even if you're not 100% sure. At this time, Velir does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.", "summaryDescription" : "Senior Data and Analytics Engineer at Velir. Skills: Data engineering, Machine learning, Business intelligence, Analytics engineering. Design data pipelines. 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This senior leadership level role will be responsible for expanding and executing the company's enterprise data strategy, analytics capabilities, and driving the adoption of advanced AI and machine learning solutions across commercial and enterprise functions. The ideal candidate brings deep pharmaceutical and life sciences expertise, hands-on experience with modern cloud data platforms, and the strategic mindset to build world-class data capabilities that enable faster, smarter decision-making across the enterprise. Let’s talk about some of the key responsibilities of the role: Define and own the multi-year enterprise data and analytics strategy, and roadmap aligning closely with the company’s commercial and corporate priorities ensuring data capabilities as a competitive differentiator. Serve as a trusted advisor and strategic partner to senior leadership and business stakeholders across commercial, finance, HR, medical affairs, market access, R&D and operations — translating complex data opportunities into clear business value. Partner with senior leadership team and IT to develop and execute corporate AI strategy and adoption Proactively understand the industry trends and bring innovative data and AI capabilities to improve AI/ML adoption including Gen AI, integration of AI applications through MCP, predictive modeling and advanced analytics that drive measurable business outcomes. Lead the architecture, evolution, scalability, and lifecycle of a modern, cloud-native enterprise data platform (e.g., Databricks, Azure, Tableau), ensuring it robustly supports the organization’s advancing analytics and AI workloads. Ensure robust data governance, security, privacy, retention and compliance standards — working in close partnership with Information Security, Legal, and Privacy teams to safeguard all data assets in alignment with HIPAA, GDPR, and other applicable regulations. Direct the strategy and governance for onboarding complex life sciences data ecosystems—including commercial, claims, provider (HCP), and third-party logistics (3PL) streams—into a unified data landscape. Establish the architectural strategy for integrating advanced AI capabilities and external applications (e.g., Veeva, Salesforce) using modern, agnostic data exposure frameworks like MCP to drive seamless interoperability. Provide strategic oversight for the engineering teams responsible for building and maintaining robust ETL/ELT pipelines across commercial and enterprise data ecosystems. Serve as the organizational authority and subject matter expert on enterprise data architecture, data integration, and business intelligence—ensuring delivery of high-impact executive insights and robust self-service reporting frameworks. Implement data quality monitoring frameworks and SLAs to ensure that business-critical data assets meet accuracy, completeness, and timeliness standards. Lead strategic vendor relationships across data platform providers (e.g., Snowflake, Databricks), pharma data suppliers (e.g., IQVIA), analytics tools vendors, and implementation partners. Lead and manage IT budgets for all enterprise data and analytics spend. Champion a data-driven culture across the organization by establishing shared data literacy programs, self-service analytics frameworks, and executive-level reporting capabilities. Develop and retain a high performing team of data engineers, analysts, developers and consultants, fostering a culture of innovation, continuous learning and technical excellence. Factors for Success: Bachelor’s in computer science, Information systems, Engineering or related field, advanced degrees such as MBA or MS will be a plus. 15+ years of progressive experience in data, analytics, and technology leadership, with a minimum of 5 years in a senior leadership role preferably in a life sciences. Deep pharmaceutical or life sciences industry experience and business acumen with comprehensive understanding of commercial data ecosystems including HCP data, claims data, specialty pharmacy, market access, and patient services from leading data sources and partners. Familiarity with regulatory and compliance requirements relevant to pharmaceutical data (e.g., HIPAA, GDPR, 21 CFR Part 11). Proven track record of building and scaling enterprise data platforms in a cloud environment, with deep technical fluency in data management tools such as Databricks, Snowflake, Microsoft Azure, and AWS and data visualization tools such as Tableau, PowerBI and Spotfire. Experience integrating life sciences CRM and commercial applications — such as Veeva CRM, Veeva Vault, Salesforce, and Salesforce Marketing Cloud — with enterprise data platforms. Proven experience driving the implementation and adoption of Generative AI, predictive modeling, and machine learning capabilities within enterprise systems and data platforms. Exceptional executive communication and storytelling skills with the ability to present complex data strategies to non-technical senior leaders and board-level audiences. Strong financial acumen with experience managing budgets and spending for all data analytics related projects and consultants. Good project management experience to manage large projects in an agile or waterfall framework depending on the type and complexity of the project. A good team player with experience in managing and developing diverse, distributed teams of data professionals. Tarsus Leadership Competencies: Empowering Others - Fosters empowerment by aligning authority with accountability, developing leaders’ decision-making capability, and creating systems that support performance and growth. Emotional Intelligence - Foster trust and psychological safety, navigating complex interpersonal dynamics with compassion and accountability, and adapting leadership style to support others while maintaining composure under pressure. Grows Capacity - Builds organizational capacity by developing talent systems, coaching cultures, and strategic partnerships that grow leadership strength and prepare the next generation of leaders. Business Acumen - Demonstrates strong business acumen by anticipating market dynamics and using financial and strategic insight to guide investments, manage risk, and align priorities with long-term organizational value. Innovative Mindset and Action - Demonstrates an innovative mindset by championing new ideas, investing in enabling systems and partnerships, and translating innovation into sustainable growth and organizational resilience. A Few Other Details Worth Mentioning: The position will be based in our beautiful Irvine office, complete with onsite gym, pool, snacks, drinks, and occasional catered meals. We provide a hybrid work environment. Remote candidates with exceptional leadership skills in leading remote teams may be considered. We are passionate about our culture! Our Tarsans live our values of commitment to patients, empowerment to champion innovation, and teamwork to amplify impact! This position reports directly to VP, Digital & IT Some travel may be required – up to 10% At Tarsus, we understand the importance of attracting and retaining top talent. The expected base pay range for this position is $255,000 - $357,000 plus bonus, stock equity, and comprehensive benefits. The base pay range reflects the target range for this position, but individual pay will be determined by additional factors such as job-related skills, experience and relevant education or training. Our benefits include health, dental and vision insurance benefits to ensure your well-being. We believe in work-life balance and offer generous paid time off, including vacation, holidays, and personal days. For more details regarding Tarsus benefits, please visit: https://eb.alliant.com/26tarsusbenefitssnapshot. #LI-Hyrbid #LI-Remote Tarsus Pharmaceuticals, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.", "summaryDescription" : "Sr Director, Enterprise Data & Analytics at Tarsus Pharmaceuticals. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and implement data science models. Build and maintain data pipelines", "postedDate" : "2026-06-16T01:18:21.091", "createdAt" : "2026-06-16T01:18:21.091", "lastUpdated" : "2026-06-16T12:28:48.325", "ingestTimestamp" : "2026-06-16T01:18:21.091", "mongoId" : "6a307af3f292fd229c042239", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 255000, "salaryAnnualMax" : 357000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Regression analysis", "Classification modeling", "Clustering algorithms", "Time-series forecasting", "A/B testing", "Causal inference", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Quantitative analysis", "Data modeling", "Statistical analysis", "Analytics engineering", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c772974d8ee00a093be51", "title" : "Data Analytics Process Lead", "company" : "CARIAN", "industry" : "PMO", "salary" : { "min" : 120000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Newark, NJ", "locations" : [ "Newark, NJ" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T06:04:05.575", "fingerprint" : "bc26f89c0d53ba260a3e63bc7ed96db9d75cc3b5bec8fbe9eb900ec4f3057956", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/carian/d82551b0-e649-4dae-99a6-c08ead27f3f1/application", "externalId" : "d82551b0-e649-4dae-99a6-c08ead27f3f1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Newark", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7356570,-74.1723667" } ], "locationText" : "Newark, New Jersey, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Spark, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, AWS, GCP, Azure, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "ML/AI", "BI development", "Cloud data stacks", "Statistical methods", "ML frameworks", "BI platforms", "Modelling skills" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "ML/AI", "level" : "intermediate" }, { "name" : "BI development", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data Analytics, Data Science, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Analytics", "Data Science", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and implement data analytics solutions, Build and maintain data pipelines, Design and develop ML models, Create and manage BI dashboards, Perform statistical analysis, Collaborate with stakeholders, Ensure data quality and integrity, Stay updated on industry trends", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Cloud data platforms; ML frameworks; BI platforms; Data modelling; Statistical methods", "domainList" : [ "cloud-data-platforms", "ml-frameworks", "bi-platforms", "data-modelling", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data platforms", "ML frameworks", "BI platforms", "Data modelling", "Statistical methods" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "problemSolvingSkills" : "Data analysis; Troubleshooting", "qualificationsBasic" : "5+ years of experience in data analytics, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "Master's degree or PhD, Experience with cloud platforms, Experience with ML frameworks", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Data Analytics Process Lead Location: Newark, New Jersey Job Type: Full-time (Hybrid (3 days a week in office)) About Us CARIAN is a purpose-driven, woman-owned consulting and advisory firm dedicated exclusively to the power sector. We partner with leading electric and gas utilities to provide strategic advisory and disciplined execution across program management, business intelligence, and field execution oversight. Guided by integrity, trust, excellence, and accountability, our team helps deliver complex capital programs and build the resilient energy infrastructure that communities depend on. Position Overview CARIAN is seeking an experienced Data Analytics Process Lead to support data analytics initiatives for a utility customer experience organization. This role will serve as the primary project manager and business liaison for analytics-related initiatives, working closely with program managers, IT, business stakeholders, and analytics resources. The ideal candidate has strong experience leading data-driven projects, gathering business requirements, supporting dashboard and reporting delivery, and translating business needs into practical analytics solutions. This is a senior, business-facing role requiring a strong mix of project management, process improvement, stakeholder communication, and technical analytics experience. The work may include Power BI dashboards, reporting solutions, data lake enhancements, executive reporting, business cases, and coordination across business and technical teams. Key Responsibilities - Serve as the project manager and primary point of contact for client’s data analytics initiatives. - Coordinate activities across program management, IT, analytics teams, business stakeholders, and external vendors. - Lead the planning, execution, monitoring, and delivery of analytics projects, including dashboards, reporting solutions, and data lake-related initiatives. - Develop and maintain project plans, roadmaps, status reports, risk assessments, and executive-level communications. - Facilitate stakeholder workshops and meetings to gather, document, and validate business requirements. - Translate business needs into functional specifications, user stories, data requirements, and analytics development priorities. - Partner with program managers, process leads, and business stakeholders to identify opportunities for data-driven process improvements and operational efficiencies. - Collaborate with IT, data engineering, and analytics teams to support Power BI dashboards, reporting solutions, data models, and data lake enhancements. - Ensure analytics solutions meet business objectives, usability expectations, and enterprise data governance standards. - Develop executive presentations, business cases, and communication materials that summarize project progress, findings, recommendations, business impacts, and analytics insights. - Build strong working relationships across business and technology organizations to support successful delivery. - Lead technical discussions, support analytics best practices, and provide oversight to analytics resources when needed. Qualifications - Bachelor’s degree in Business, Information Systems, Data Analytics, Computer Science, Engineering, Finance, or a related discipline. - 7+ years of relevant professional experience in project management, business analysis, process improvement, data analytics, reporting, or related fields. - 5+ years of experience in data analytics, business intelligence, data science, or a related field. - Experience managing cross-functional projects and coordinating work among business stakeholders, IT teams, analytics teams, and external vendors. - Strong experience gathering business requirements, facilitating workshops, documenting processes, and translating business needs into technical solutions. - Experience leading or providing technical oversight to analytics resources. - Experience developing or supporting SQL solutions, data models, and ETL/ELT processes within enterprise data environments. - Experience with Power BI dashboards and reports, or equivalent business intelligence and data visualization solutions. - Experience working with large datasets, relational databases, and enterprise reporting environments. - Familiarity with AWS cloud services supporting data integration, data lake, analytics, or reporting solutions. - Experience using Python for analytics, automation, statistical modeling, or AI/ML solution development. - Strong presentation, facilitation, written communication, and executive communication skills. - Strong analytical, problem-solving, organizational, and project management skills. - Ability to build collaborative relationships and influence stakeholders across multiple organizations. - Ability to manage multiple priorities and deliver results in a fast-paced environment. Preferred Experience - MBA or advanced degree in Business, Data Analytics, Information Systems, or a related field. - PMP certification or equivalent project management credential. - Experience serving as a Product Owner, Program Lead, Analytics Project Manager, Business Analyst, or Business Process Lead for enterprise analytics initiatives. - Experience supporting customer experience, energy efficiency, utility operations, or other process-focused organizations. - Familiarity with data governance, data quality, responsible AI practices, data warehousing, data lake architecture, and enterprise data management. - Experience developing business cases, investment justifications, executive reporting materials, and leadership presentations. - Understanding of Agile, Scrum, or other project delivery methodologies. - Experience coordinating consultants, contractors, analytics resources, or cross-functional project teams. Why CARIAN - Purpose-driven work – Help deliver infrastructure that powers communities - Industry reputation – Trusted by leading utilities for our reliability and results - Career growth – Opportunities to lead major programs and mentor high-performing teams - Collaborative culture – Join a team that values delivery excellence and long-term relationships - Competitive total rewards – Strong compensation, full benefits, 401(k) match, and meaningful work Equal Employment Opportunity CARIAN is proud to be an equal opportunity employer. We hire and develop talent based on qualifications, performance, and business needs. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. As a woman-owned firm dedicated to the power sector, we are committed to building a team that reflects professionalism, expertise, and integrity at every level. Compensation The salary range for this role is $120,000 – $155,000 annually. This range represents a good-faith estimate at the time of posting; actual compensation will depend on experience, qualifications, assignment requirements, schedule, and other factors permitted by law. In addition to base compensation, the role includes a comprehensive benefits package and a company 401(k) match.", "summaryDescription" : "Data Analytics Process Lead at CARIAN. Skills: Data Analytics, Data Science, Machine Learning, Business Intelligence. Develop and implement data analytics solutions. 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Internal pre-sales teams; Internal marketing teams; Internal services teams", "domainKnowledge" : "Data analytics; Manufacturing operations; Digital transformation; Statistical process control; Process digital twins; Operational excellence; Advanced analytics", "domainList" : [ "data-analytics", "manufacturing-operations", "digital-transformation", "statistical-process-control", "process-digital-twins", "operational-excellence", "advanced-analytics" ], "domainSpecificKnowledge" : [ "Data analytics", "Manufacturing operations", "Digital transformation", "Statistical process control", "Process digital twins", "Operational excellence", "Advanced analytics" ], "toolProficiency" : [ "CRM" ], "communicationSkills" : "Executive engagement; Technical engagement; Business engagement", "specialRequirements" : "Relocating to Hong Kong, Frequent travel (up to 60%)", "outcomesObjectives" : "Achieve sales targets; Drive consistent improvement; Drive confident decision-making; Create long-term customer value; Achieve repeatable sales success", "qualificationsBasic" : "3+ years B2B sales experience, Track record of achieving sales targets, Experience managing mid-market accounts, Fluent Mandarin, Excellent English communication", "qualificationsPreferred" : "Experience in technology, analytics, or enterprise software, Exposure to business intelligence, Exposure to analytics software, Exposure to statistical software", "workSiteFlexibility" : "Onsite", "rawDescription" : "Please note: this role requires relocating to Hong Kong Today, Minitab is one of the only software companies able to standardize data collection across manufacturing operations, from the factory floor to the quality lab and then turn that operational data into insights. This isn’t about selling a tool; it’s about helping customers establish a shared data foundation with best-in-class analytics that drives consistent improvement and confident decision-making end to end. As a Minitab sales professional, you’ll work with growing manufacturers at every stage of their digital transformation maturity level. Some are just beginning their data journey and need simple, practical ways to collect and understand their data. Others are ready for more advanced capabilities like statistical process control (SPC) and process digital twins to drive true operational excellence. Our portfolio allows you to land where they are today and expand as they grow, creating long-term customer value and repeatable sales success. You’ll be backed by a globally respected brand and solutions trusted by manufacturers around the world for the last 50 years. Minitab continues to be the partner of choice because we make advanced analytics accessible, scalable, and relevant to real manufacturing challenges, not theoretical ones. If you’re a mid-market seller who wants to lead value-based conversations, build lasting customer relationships, and sell solutions that manufacturers genuinely rely on, Minitab offers a career with impact, credibility, and growth. What You’ll Be Doing Own and execute a new business sales strategy for the mid-market segment across the Chinese market Identify, qualify, and close net-new customer opportunities Proactively prospect and engage senior stakeholders within manufacturing organisations, understanding their business challenges and positioning Minitab as a strategic solution Lead the full sales cycle, including discovery, solution positioning, product demonstrations, negotiation, and closing Build and manage a strong pipeline of new logo opportunities, maintaining accurate forecasting and CRM hygiene Work closely with internal pre-sales, marketing, and services teams in a virtual team-selling environment Gather and share competitive and market intelligence to continuously sharpen positioning within the territory Represent Minitab at customer meetings, industry events, and partner engagements across the region What We’re Looking For Proven hunter mentality — proactive, self-starting, and motivated by winning new business Strong experience selling B2B software or technology solutions into the manufacturing industry Ability to work independently, manage your own territory, and prioritise effectively in a fast-paced environment Comfortable with frequent travel (up to 60%) across the region Confident engaging with executive, technical, and business stakeholders Consultative selling approach with strong negotiation and closing skills Language Requirements Fluent Mandarin (native or business-native level) Excellent English communication skills (written and verbal) Experience & Background 3+ years of successful B2B sales experience, ideally in technology, analytics, or enterprise software. Track record of consistently achieving or exceeding sales targets (100%+ of quota) Experience managing mid-market accounts and closing deals. Exposure to business intelligence, analytics, or statistical software is a plus Why Join Minitab? High-impact role with clear ownership of new business growth Opportunity to build and shape a key market for the business Collaborative, international sales environment with strong enablement and support Competitive compensation and career growth opportunities within a global organisation GZ", "summaryDescription" : "Account Executive (Data Analytics) at Minitab. Skills: New business development, Account management, Data analytics sales. Own new business sales strategy. Execute new business sales strategy", "postedDate" : "2026-06-14T19:11:57.288", "createdAt" : "2026-06-14T19:11:57.288", "lastUpdated" : "2026-06-16T03:00:30.735", "ingestTimestamp" : "2026-06-14T19:11:57.288", "mongoId" : "6a2c911f74d8ee00a0982091", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Sales cycle management", "Pipeline management", "CRM hygiene", "Hunter mentality", "New business development", "Account management", "Data analytics sales", "Value-based conversations", "Territory management", "Forecasting", "Negotiation", "Closing deals", "Data analytics", "Manufacturing operations", "Digital transformation", "Statistical process control", "Process digital twins", "Operational excellence", "Advanced analytics", "CRM" ], "skillCount" : 20, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7a9f74d8ee00a09461bc", "title" : "Senior Data Engineer, Analytics", "company" : "Apptegy", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Data Engineer in Bulgaria, adjusted for the education industry and remote work." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T01:07:32.467", "fingerprint" : "c9f0d7724af62856f1ed343299fb842e9002d35bf5ef0272120603b1c229b42a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.apptegy.com/careers/?gh_jid=4202928009", "externalId" : "4202928009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Who We Are At Apptegy, we are more than a tech company; we are partners dedicated to transforming how schools communicate and shape the future of education. Your work here will directly empower districts to share their stories, engage their communities, and celebrate student success. We're a team of thoughtful, high-performing individuals committed to making a tangible impact. If you're looking for a dynamic environment where you'll be supported with exceptional mentorship and resources to grow your career, come build with us. The Role As a Senior Data Engineer at Apptegy, you’ll play a key role in shaping the architecture, performance, and scalability of our platform. This role is a unique hybrid that bridges traditional application development with data engineering. You will be responsible for building and scaling our analytics and data platform. You will own the delivery of reliable, high-performing software and data systems, working primarily with our Ruby on Rails backend services, while building efficient data pipelines to transfer and transform data from PostgreSQL to Snowflake. This role is ideal for an engineer who thrives in a fast-paced environment and enjoys building systems from the ground up that provide meaningful, real-time insights to educators and students. What You’ll Do Technical Execution relevant certifications (AWS Certified Solutions Architect Associate, AWS Certified Data Engineer) are a plus Database Technologies: Experience with database technologies (e.g., RDS/Aurora PostgreSQL, Snowflake). Experience replicating data via Change Data Capture (CDC) from PostgreSQL to Snowflake. Semantic Layers: Familiarity with Semantic reporting layers and headless BI frameworks (e.g., Cube.dev) to support consistent, scalable in-product analytics. DevOps & Infrastructure: Knowledge of DevOps practices and tools (e.g., Terraform, CI/CD, Docker, Kubernetes). AI-Enhanced Development & Testing: Proficiency in leveraging AI coding assistants (e.g., Cursor, Claude Code) to accelerate code generation, refactoring, and the development of robust unit and integration tests across the full stack (Vue.js, Ruby on Rails). Industry Experience: Experience in the education technology sector. Why Apptegy Join a team that’s committed to your success. At Apptegy, we’re passionate about creating an environment where you can do your best work and find true fulfillment. We believe in investing in our people—both professionally and personally—because your well-being drives our collective impact. US Employee Benefits: Comprehensive medical, dental, vision, and life insurance coverage Retirement 401(k) with employer match Health Savings Accounts (HSA) and Flexible Spending Accounts (FSAs) Mental Health Reimbursement Unlimited paid time off, including seasonal (December) company-wide time off Paid parental and medical leave MX Employee Benefits: Private medical insurance for you and your dependents Life insurance 15 days Aguinaldo Vales de Despensa Fondo de Ahorro Caja de Ahorro Flexible paid time off policy Paid travel to/from Little Rock, Arkansas for Onboarding. Apptegy champions the thoughtful integration of AI to empower our teams and processes. As we seek to understand your individual capabilities and how you might contribute, we ask that all responses to application questions and during interviews are genuinely your own. Please refrain from using AI generation tools, as our aim is to assess your authentic voice and expertise. Equal Opportunity Employer Apptegy is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.", "summaryDescription" : "Senior Data Engineer, Analytics at Apptegy", "postedDate" : "2026-06-14T19:09:39.312", "createdAt" : "2026-06-14T19:09:39.312", "lastUpdated" : "2026-06-16T01:07:32.467", "ingestTimestamp" : "2026-06-14T19:09:39.312", "mongoId" : "6a2c7a9f74d8ee00a09461bc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cd70874d8ee00a0a400e2", "title" : "AVP of Commercial Excellence - Seasoned Salesforce Architect", "company" : "TechTorch", "industry" : "Salesforce", "location" : "India", "locations" : [ "India" ], "certifications" : [ "Salesforce Certified Application Architect", "Salesforce Certified System Architect", "Certinia", "FinancialForce", "Kantata", "Kimble" ], "timestamp" : "2026-06-15T10:08:06.139", "fingerprint" : "d371fd607f29096118a0ef2f7bde0c21eeccaa14c414de17c8a98a7fed2a39ea", "source" : "ashby", "applyUrl" : "https://jobs.ashbyhq.com/techtorch/ea069951-3716-447e-9f2f-777fb5fead06/application", "externalId" : "ea069951-3716-447e-9f2f-777fb5fead06", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Bangalore, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Salesforce, Apex, Flow, LWC, API", "professionalSkills" : [ "Commercial Excellence, Quote-to-cash (QTC), Professional Services Automation (PSA), services automation, enterprise technology, private equity, AI-powered solutions, data-driven transformation, lead to cash processes, system integration." ], "hardSkillsList" : [ "Salesforce Certified Application Architect", "Salesforce Certified System Architect", "Certinia", "FinancialForce", "Kantata", "Kimble" ], "softSkillsList" : [ "leadership, collaboration, mentoring, coaching" ], "hardSkills" : [ { "name" : "Salesforce Certified Application Architect", "level" : "intermediate" }, { "name" : "Salesforce Certified System Architect", "level" : "intermediate" }, { "name" : "Certinia", "level" : "intermediate" }, { "name" : "FinancialForce", "level" : "intermediate" }, { "name" : "Kantata", "level" : "intermediate" }, { "name" : "Kimble", "level" : "intermediate" } ], "softSkills" : [ { "name" : "leadership, collaboration, mentoring, coaching" } ], "majorSkills" : "Salesforce Architecture, Quote-to-cash, AI-native delivery, Integration Design, Platform Strategy", "majorSkillsList" : [ "Salesforce Architecture, Quote-to-cash, AI-native delivery, Integration Design, Platform Strategy" ], "coreResponsibilities" : "Design scalable, high-performance Salesforce solutions with emphasis on PSA and services automation. Provide thought leadership on integrating Salesforce core clouds with PSA solutions. Architect and oversee integrations between PSA solutions, ERP systems, financial platforms, and other business applications. Develop best practices, development standards, and architectural guidelines for Salesforce implementations. Assess and recommend new Salesforce features, AppExchange apps, and third-party tools. Serve as a trusted advisor to stakeholders while mentoring development teams.", "teamCollaboration" : "Partner with business stakeholders, technical teams, and delivery partners. Collaborate across disciplines — from AI and data to enterprise systems and digital transformation. Proven leadership in cross-functional teams.", "toolProficiency" : [ "Salesforce CPQ, Agentforce Revenue, NetSuite SuiteBilling, ZoneCo, MuleSoft, Workato, AppExchange" ], "communicationSkills" : "communication; stakeholder management", "documentationSkills" : "AI-assisted documentation", "continuousLearning" : "Assess and recommend new Salesforce features, AppExchange apps, and third-party tools.", "innovationCreativity" : "AI First — We embed AI at the core, enabling scalable, high-leverage solutions.", "problemSolvingSkills" : "Solution Architecture; system design; integration design; architectural guidelines", "outcomesObjectives" : "Drive measurable value at speed and scale. Deliver high-impact outcomes. Optimize professional services delivery, resource management, project accounting, and overall service operations. Ensure scalable, efficient, and integrated solutions that drive business outcomes.", "qualificationsBasic" : "10+ years of Salesforce experience, with at least 5 years in an architect role. Expertise in CPQ solutions (e.g., Salesforce CPQ, Agentforce Revenue etc.). Deep understanding of contracting process (new, amendment, renewals etc.). Experience integrating with a billing system e.g., NetSuite SuiteBilling, ZoneCo etc. Demonstrated ability to use AI-native delivery practices, including LLM-assisted solution design, rapid prototyping, prompt engineering, AI-assisted documentation, and AI-supported configuration and code generation. Comfortable with “vibe coding” and conversational development workflows. Proficiency across Salesforce Core (Sales Cloud, Revenue Cloud, CPQ, Service Cloud, Experience Cloud). Proven experience designing integrations between Salesforce and ERP, HCM, and financial systems. Familiarity with middleware solutions (MuleSoft, Workato, etc.). Understanding of Salesforce API, data synchronization, governance models. Communication and stakeholder management skills. Ability to translate complex technical designs into clear business outcomes.", "qualificationsPreferred" : "Knowledge of PSA capabilities. Salesforce Certified Application Architect or System Architect preferred. PSA vendor certifications (Certinia/FinancialForce, Kantata, Kimble) preferred.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AVP of Commercial Excellence - Seasoned Salesforce Architect Position Title: AVP of Commercial Excellence - Seasoned Salesforce Architect Location: Bangalore, India Employment Type: Full-time About TechTorch TechTorch is a high-growth enterprise technology consultancy that partners with the world’s leading private equity-backed businesses. We deliver AI-powered solutions, accelerators, and data-driven transformation initiatives that drive measurable value at speed and scale. Our mission is to redefine enterprise technology consulting for private equity. We combine the agility of a scale-up with the discipline and rigor demanded by the most sophisticated investors and operators. TechTorch was founded by seasoned leaders — including former Bain consultants, CIOs, and tech executives — with deep expertise in technology, transformation, and value creation. We are not a typical startup. We were built to succeed and to deliver results that matter. About the Team TechTorch teams are at the forefront of delivering enterprise technology solutions that help our clients transform their operations, unlock growth, and achieve their investment theses. We combine deep product and domain expertise with a business-first mindset, enabling us to design and deliver solutions that align with client priorities and timelines. Our teams operate globally, collaborating across disciplines — from AI and data to enterprise systems and digital transformation — to deliver high-impact outcomes. TechTorch’s Commercial Excellence practices help transform lead to cash processes and system What You’ll Do • Solution Architecture: Design scalable, high-performance Salesforce solutions with emphasis on PSA and services automation. • Platform Strategy: Provide thought leadership on integrating Salesforce core clouds (Sales, Service, Experience, and Revenue) with PSA solutions. • Implementation Leadership: Partner with business stakeholders, technical teams, and delivery partners to transform business requirements into effective technical solutions. • Integration Design: Architect and oversee integrations between PSA solutions, ERP systems, financial platforms, and other business applications. • Governance & Standards: Develop best practices, development standards, and architectural guidelines for Salesforce implementations. • Innovation: Assess and recommend new Salesforce features, AppExchange apps, and third-party tools that enhance services automation and operational excellence. • Mentorship: Serve as a trusted advisor to stakeholders while mentoring development teams in Salesforce architecture and delivery best practices. Who You Are We are seeking a seasoned Salesforce architect with deep expertise in Quote-to-cash (Knowledge of Agentforce Revenue is a plus) and a strong understanding of the broader Salesforce ecosystem. This role is responsible for designing, architecting, and guiding the implementation of Salesforce solutions that optimize professional services delivery, resource management, project accounting, and overall service operations. The ideal candidate will pair Quote-to-cash with core Salesforce platform mastery, ensuring scalable, efficient, and integrated solutions that drive business outcomes. Quote-to-cash (QTC) • Expertise in CPQ solutions (e.g., Salesforce CPQ, Agentforce Revenue etc.). • Deep understanding of contracting process (new, amendment, renewals etc.). • Experience integrating with a billing system e.g., NetSuite SuiteBilling, ZoneCo etc. AI Native • Demonstrated ability to use AI-native delivery practices, including LLM-assisted solution design, rapid prototyping, prompt engineering, AI-assisted documentation, and AIsupported configuration and code generation. • Comfortable with “vibe coding” and conversational development workflows: using natural language prompts to generate, refine, test, and explain Apex, Flow logic, LWC, integrations, APIs, and solution prototypes while maintaining strong engineering discipline Salesforce Core Platform • Strong proficiency across Salesforce Core (Sales Cloud, Revenue Cloud, CPQ, Service Cloud, Experience Cloud). • Knowledge of PSA capabilities a plus. Architecture & Integration • Proven experience designing integrations between Salesforce and ERP, HCM, and financial systems. • Familiarity with middleware solutions (MuleSoft, Workato, etc.). • Strong understanding of Salesforce API, data synchronization, governance models. Soft Skills • Strong communication and stakeholder management skills. • Ability to translate complex technical designs into clear business outcomes. • Proven leadership in cross-functional teams, including mentoring and coaching. Qualifications • 10+ years of Salesforce experience, with at least 5 years in an architect role. • Salesforce Certified Application Architect or System Architect preferred • PSA vendor certifications (Certinia/FinancialForce, Kantata, Kimble) preferred. Our Values Our values reflect the DNA of the private equity-backed companies we serve — focused on speed, ownership, accountability, and results. Client First — We focus relentlessly on delivering outcomes that create value for our clients. We, Not Me — We win together. Collaboration drives transformation at scale. Get Stuff Done — We execute with speed and precision — because in PE, time matters. AI First — We embed AI at the core, enabling scalable, high-leverage solutions. Own It — We take accountability for results, delivering on what we promise. Agile mindset — We adapt quickly and proactively seek better ways to move forward. What We Offer • The opportunity to work at the forefront of AI-powered enterprise technology consulting. • A high-impact environment where ownership and delivery are rewarded. • Exposure to top-tier private equity firms and their portfolio companies. • A global, collaborative team focused on results, innovation, and excellence.", "summaryDescription" : "AVP of Commercial Excellence - Seasoned Salesforce Architect at TechTorch. Skills: Salesforce Architecture, Quote-to-cash, AI-native delivery, Integration Design, Platform Strategy. Design scalable, high-performance Salesforce solutions with emphasis on PSA and services automation. Provide thought leadership on integrating Salesforce core clouds with PSA solutions. Architect and oversee integrations between PSA solutions, ERP systems, financial platforms, and other business applications. Develop", "createdAt" : "2026-06-14T19:22:41.897", "lastUpdated" : "2026-06-15T10:08:06.139", "ingestTimestamp" : "2026-06-14T19:22:41.897", "mongoId" : "6a2cd70874d8ee00a0a400e2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Salesforce Certified Application Architect", "Salesforce Certified System Architect", "Certinia", "FinancialForce", "Kantata", "Kimble", "leadership, collaboration, mentoring, coaching", "Salesforce Architecture, Quote-to-cash, AI-native delivery, Integration Design, Platform Strategy", "Commercial Excellence, Quote-to-cash (QTC), Professional Services Automation (PSA), services automation, enterprise technology, private equity, AI-powered solutions, data-driven transformation, lead to cash processes, system integration.", "Salesforce CPQ, Agentforce Revenue, NetSuite SuiteBilling, ZoneCo, MuleSoft, Workato, AppExchange" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca5c674d8ee00a09b809f", "title" : "GTM Engineer - Data & Analytics", "company" : "OH. io", "industry" : "SaaS", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level GTM Engineer - Data & Analytics in Columbus, United States, adjusted for the SaaS industry and company size." }, "location" : "Columbus, OH ", "locations" : [ "Columbus", "OH" ], "timestamp" : "2026-06-16T07:17:06.759", "fingerprint" : "9f5b8613c83fab8627a3ec50bab567b9140220345f7542f26c5674db1da207b7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ohio/jobs/4064706009", "externalId" : "4064706009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Columbus", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.9622601,-83.0007065" } ], "locationText" : "Columbus, Ohio, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "React, Rails, Python, SQL, LLMs, AI APIs, HubSpot, Clay, Instantly, Gong, N8n, Zapier, APIs", "professionalSkills" : [ "Data infrastructure", "AI workflows", "Data pipelines", "Lead scoring", "Pipeline forecasts", "Conversion analyses", "API integration", "Data enrichment", "Dashboards", "Reporting" ], "hardSkillsList" : [ "Data modeling", "Automation", "API development" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, AI Automation, GTM Systems", "majorSkillsList" : [ "Data Engineering", "AI Automation", "GTM Systems" ], "coreResponsibilities" : "Create GTM data infrastructure, Maintain GTM data infrastructure, Build agentic AI workflows, Deploy agentic AI workflows, Surface insights using AI, Trigger actions using AI, Architect data pipelines, Connect GTM tools, Keep data accurate, Keep systems in sync, Develop lead scoring models, Develop pipeline forecasts, Develop conversion analyses, Integrate third-party APIs, Integrate MCP servers, Automate enrichment workflows, Build dashboards, Build reporting, Track KPIs, Track pipeline health, Track GTM performance, Partner with RevOps, Partner with SDRs, Partner with AEs, Partner with marketing specialists, Ship solutions, Support portfolio companies, Provide hands-on data work, Provide hands-on technical work", "teamCollaboration" : "GTM Pods; RevOps; SDRs; AEs; Marketing specialists", "domainKnowledge" : "B2B GTM systems; LLMs; AI tooling", "domainList" : [ "b2b-gtm-systems", "llms", "ai-tooling" ], "domainSpecificKnowledge" : [ "B2B GTM systems", "LLMs", "AI tooling" ], "toolProficiency" : [ "N8n", "HubSpot", "Clay", "Instantly", "Gong", "Zapier" ], "problemSolvingSkills" : "Problem-solving instincts", "outcomesObjectives" : "Turn sales data into actionable intelligence; Drive revenue for OH. io; Drive revenue for portfolio companies; Give sales teams sharper view", "qualificationsBasic" : "Coding is your default skillset, Experience in React, Rails, Python or SQL, Ability to show a portfolio of work", "qualificationsPreferred" : "Familiarity with LLMs and AI tooling, Working knowledge of B2B GTM systems, Experience with workflow automation is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About OH.io OH.io is transforming Columbus into America’s startup technology capital — the global hub where capital, talent, and opportunity converge. Backed by Ratmir Timashev and powered by an AI-driven Go-To-Market Accelerator, we ignite B2B SaaS founders with GTM acceleration to build global companies from Columbus. With capital ready to deploy, a deep bench of talent, and the gravitational pull of Fortune 500 anchors, OH.io is making Columbus not just competitive—but indispensable. Through our GTM Acceleration Pods, we deliver specialized teams that drive growth and support every portfolio resident. As part of this mission, we are building a local GTM Hub office in Columbus to serve as the center of activity and collaboration. GTM Engineer – Data & Analytics The GTM Engineer (Data & Analytics) is a technical operator embedded within OH.io's GTM Pods, reporting to the Director of Demand Generation. This role builds data-driven GTM systems from scratch — writing code, automating pipelines, and turning sales data into clean infrastructure and actionable intelligence that drives revenue for OH.io and its portfolio companies. Columbus, OH required. Key Responsibilities Create and maintain GTM data infrastructure — owning the data layer across portfolio CRM's Build and deploy agentic AI workflows using LLMs and automation tools (n8n, APIs) to surface insights and trigger actions across the sales cycle Architect lightweight data pipelines that connect HubSpot, Clay, Instantly, and other GTM tools — keeping data accurate and systems in sync Develop lead scoring models, pipeline forecasts, and conversion analyses that give sales teams a sharper view of where to focus Integrate third-party APIs and MCP servers to expand data coverage and automate enrichment workflows Build dashboards and reporting that track KPIs, pipeline health, and GTM performance in a way non-technical teammates can act on Partner with RevOps, SDRs, AEs, and marketing specialists inside Pods to ship solutions that solve real, day-to-day GTM problems Support portfolio companies with hands-on data and technical work during onboarding and scaling Qualifications Coding is your default skillset. Experience in React, Rails, Python or SQL. Ability to show a portfolio of work: scripts, automations, models, dashboards — something built, not just described Familiarity with LLMs and AI tooling — comfortable building prompts, agents, or wiring up AI APIs Working knowledge of B2B GTM systems (HubSpot, Clay, Instantly, Gong) or a demonstrated ability to pick up new tools fast Experience with workflow automation (n8n, Zapier, or custom API integrations) is a plus Strong problem-solving instincts — you'd rather build a fix than wait for one Comfortable working in a fast-moving, startup environment where the scope of the role will grow with you", "summaryDescription" : "GTM Engineer - Data & Analytics at OH. io. Skills: Data Engineering, AI Automation, GTM Systems. Create GTM data infrastructure. Maintain GTM data infrastructure", "postedDate" : "2026-06-14T18:02:31.971", "createdAt" : "2026-06-14T18:02:31.971", "lastUpdated" : "2026-06-16T07:17:06.759", "ingestTimestamp" : "2026-06-14T18:02:31.971", "mongoId" : "6a2ca5c674d8ee00a09b809f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Automation", "API development", "Data Engineering", "AI Automation", "GTM Systems", "Data infrastructure", "AI workflows", "Data pipelines", "Lead scoring", "Pipeline forecasts", "Conversion analyses", "API integration", "Data enrichment", "Dashboards", "Reporting", "B2B GTM systems", "LLMs", "AI tooling", "N8n", "HubSpot", "Clay", "Instantly", "Gong", "Zapier" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a309104f292fd229c0ba247", "title" : "Sr Director, Enterprise Data & Analytics", "company" : "Tarsanet", "salary" : { "min" : 255000.0, "max" : 357000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Irvine, California, United States", "locations" : [ "Irvine", "California", "United States" ], "timestamp" : "2026-06-16T10:53:17.993", "fingerprint" : "e930f3b3815cba77dedd0cb72cf16ed0c2294a10c5830ade19169993f2fb887e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/itcss/jobs/6030919004", "externalId" : "6030919004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : true, "rawDescription" : "Hi Tarsan! Thanks for your interest in this position. Please review the details and if role and if it's something that could match your career goals, connect with your current manager and HRBP to discuss if your experience and skills line up. If everything is a go, please apply and the Talent Acquisition team will contact you for an interview so we can also get to know you better. - Your Human Resources Team About the Role We are seeking a visionary and results-driven Senior Director of Enterprise Data & Analytics to serve as a strategic leader and key partner to the business. This senior leadership level role will be responsible for expanding and executing the company's enterprise data strategy, analytics capabilities, and driving the adoption of advanced AI and machine learning solutions across commercial and enterprise functions. The ideal candidate brings deep pharmaceutical and life sciences expertise, hands-on experience with modern cloud data platforms, and the strategic mindset to build world-class data capabilities that enable faster, smarter decision-making across the enterprise. Let’s talk about some of the key responsibilities of the role: Define and own the multi-year enterprise data and analytics strategy, and roadmap aligning closely with the company’s commercial and corporate priorities ensuring data capabilities as a competitive differentiator. Serve as a trusted advisor and strategic partner to senior leadership and business stakeholders across commercial, finance, HR, medical affairs, market access, R&D and operations — translating complex data opportunities into clear business value. Partner with senior leadership team and IT to develop and execute corporate AI strategy and adoption Proactively understand the industry trends and bring innovative data and AI capabilities to improve AI/ML adoption including Gen AI, integration of AI applications through MCP, predictive modeling and advanced analytics that drive measurable business outcomes. Lead the architecture, evolution, scalability, and lifecycle of a modern, cloud-native enterprise data platform (e.g., Databricks, Azure, Tableau), ensuring it robustly supports the organization’s advancing analytics and AI workloads. Ensure robust data governance, security, privacy, retention and compliance standards — working in close partnership with Information Security, Legal, and Privacy teams to safeguard all data assets in alignment with HIPAA, GDPR, and other applicable regulations. Direct the strategy and governance for onboarding complex life sciences data ecosystems—including commercial, claims, provider (HCP), and third-party logistics (3PL) streams—into a unified data landscape. Establish the architectural strategy for integrating advanced AI capabilities and external applications (e.g., Veeva, Salesforce) using modern, agnostic data exposure frameworks like MCP to drive seamless interoperability. Provide strategic oversight for the engineering teams responsible for building and maintaining robust ETL/ELT pipelines across commercial and enterprise data ecosystems. Serve as the organizational authority and subject matter expert on enterprise data architecture, data integration, and business intelligence—ensuring delivery of high-impact executive insights and robust self-service reporting frameworks. Implement data quality monitoring frameworks and SLAs to ensure that business-critical data assets meet accuracy, completeness, and timeliness standards. Lead strategic vendor relationships across data platform providers (e.g., Snowflake, Databricks), pharma data suppliers (e.g., IQVIA), analytics tools vendors, and implementation partners. Lead and manage IT budgets for all enterprise data and analytics spend. Champion a data-driven culture across the organization by establishing shared data literacy programs, self-service analytics frameworks, and executive-level reporting capabilities. Develop and retain a high performing team of data engineers, analysts, developers and consultants, fostering a culture of innovation, continuous learning and technical excellence. Factors for Success: Bachelor’s in computer science, Information systems, Engineering or related field, advanced degrees such as MBA or MS will be a plus. 15+ years of progressive experience in data, analytics, and technology leadership, with a minimum of 5 years in a senior leadership role preferably in a life sciences. Deep pharmaceutical or life sciences industry experience and business acumen with comprehensive understanding of commercial data ecosystems including HCP data, claims data, specialty pharmacy, market access, and patient services from leading data sources and partners. Familiarity with regulatory and compliance requirements relevant to pharmaceutical data (e.g., HIPAA, GDPR, 21 CFR Part 11). Proven track record of building and scaling enterprise data platforms in a cloud environment, with deep technical fluency in data management tools such as Databricks, Snowflake, Microsoft Azure, and AWS and data visualization tools such as Tableau, PowerBI and Spotfire. Experience integrating life sciences CRM and commercial applications — such as Veeva CRM, Veeva Vault, Salesforce, and Salesforce Marketing Cloud — with enterprise data platforms. Proven experience driving the implementation and adoption of Generative AI, predictive modeling, and machine learning capabilities within enterprise systems and data platforms. Exceptional executive communication and storytelling skills with the ability to present complex data strategies to non-technical senior leaders and board-level audiences. Strong financial acumen with experience managing budgets and spending for all data analytics related projects and consultants. Good project management experience to manage large projects in an agile or waterfall framework depending on the type and complexity of the project. A good team player with experience in managing and developing diverse, distributed teams of data professionals. Tarsus Leadership Competencies: Empowering Others - Fosters empowerment by aligning authority with accountability, developing leaders’ decision-making capability, and creating systems that support performance and growth. Emotional Intelligence - Foster trust and psychological safety, navigating complex interpersonal dynamics with compassion and accountability, and adapting leadership style to support others while maintaining composure under pressure. Grows Capacity - Builds organizational capacity by developing talent systems, coaching cultures, and strategic partnerships that grow leadership strength and prepare the next generation of leaders. Business Acumen - Demonstrates strong business acumen by anticipating market dynamics and using financial and strategic insight to guide investments, manage risk, and align priorities with long-term organizational value. Innovative Mindset and Action - Demonstrates an innovative mindset by championing new ideas, investing in enabling systems and partnerships, and translating innovation into sustainable growth and organizational resilience. A Few Other Details Worth Mentioning: The position will be based in our beautiful Irvine office, complete with onsite gym, pool, snacks, drinks, and occasional catered meals. We provide a hybrid work environment. Remote candidates with exceptional leadership skills in leading remote teams may be considered. We are passionate about our culture! Our Tarsans live our values of commitment to patients, empowerment to champion innovation, and teamwork to amplify impact! This position reports directly to VP, Digital & IT Some travel may be required – up to 10% At Tarsus, we understand the importance of attracting and retaining top talent. The expected base pay range for this position is $255,000 - $357,000 plus bonus, stock equity, and comprehensive benefits. The base pay range reflects the target range for this position, but individual pay will be determined by additional factors such as job-related skills, experience and relevant education or training. Our benefits include health, dental and vision insurance benefits to ensure your well-being. We believe in work-life balance and offer generous paid time off, including vacation, holidays, and personal days. For more details regarding Tarsus benefits, please visit: https://eb.alliant.com/26tarsusbenefitssnapshot. #LI-Hyrbid #LI-Remote", "summaryDescription" : "Sr Director, Enterprise Data & Analytics at Tarsanet", "postedDate" : "2026-06-16T03:16:04.227", "createdAt" : "2026-06-16T03:16:04.227", "lastUpdated" : "2026-06-16T10:53:17.993", "ingestTimestamp" : "2026-06-16T03:16:04.227", "mongoId" : "6a309104f292fd229c0ba247", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 255000, "salaryAnnualMax" : 357000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharma", "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" : "6a2c99ad74d8ee00a09960d8", "title" : "Data & Analytics Lead", "salary" : { "min" : 155000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Data & Analytics position in Calabasas, United States, adjusted for seniority and industry." }, "location" : "Calabasas, CA", "locations" : [ "Calabasas, CA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T06:54:50.256", "fingerprint" : "05ce16466480c78fcddb77a3824f5f99a9016c838fee66d024b3f87399df05e9", "source" : "jazzhr", "language" : "en", "externalId" : "N4FLJBZh4B", "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", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "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 science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkillsList" : [ "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "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" : "Lead data initiatives, Drive analytics strategy, Develop data models, Build data pipelines, Implement ML solutions, Create BI dashboards, Mentor junior analysts, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Stakeholder collaboration", "domainKnowledge" : "Cloud data services; Statistical modelling; Machine learning", "domainList" : [ "cloud-data-services", "statistical-modelling", "machine-learning" ], "domainSpecificKnowledge" : [ "Cloud data services", "Statistical modelling", "Machine learning" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Data & Analytics Lead. Skills: Data science, Data engineering, ML/AI, Business intelligence. Lead data initiatives. 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