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Commercial leadership; GCA teams; Data Science; Forecasting; Digital Analytics", "domainKnowledge" : "Biopharma; Specialty Care portfolio; Healthcare Life Sciences; Commercial performance; Oncology analytics", "domainList" : [ "biopharma", "specialty-care-portfolio", "healthcare-life-sciences", "commercial-performance", "oncology-analytics" ], "domainSpecificKnowledge" : [ "Biopharma", "Specialty Care portfolio", "Healthcare Life Sciences", "Commercial performance", "Oncology analytics" ], "toolProficiency" : [ "Tableau", "PowerBI", "Qlik", "Looker" ], "communicationSkills" : "Insight communication", "innovationCreativity" : "Pioneer new analytical methods; Push boundaries of secondary analytics", "problemSolvingSkills" : "Data interrogation; Analytical rigor; Critical thinking skills", "specialRequirements" : "Onsite 2.5 weekly, Permanent work authorization in the United States", "qualificationsBasic" : "Bachelor’s degree in a quantitative technical discipline, 12+ years’ experience in Biopharma, analytics, strategic consulting, business, or related area, 8+ years of hands-on coding experience in Python, R, SAS, SQL or other data analytics tools in life science, Leadership experience required, Demonstrated success in a highly fast-paced setting, Ability to identify new issues, trends, and opportunities from data, Ability to influence without authority, Demonstrated analytical capabilities and critical thinking skills, Recent Healthcare Life Sciences and ecosystem professional industry experience is required, Analytics, statistics and/or database knowledge and experience, Extensive expertise in SQL, Python, Scala or other object-oriented programming languages, Extensive understanding of data visualization tools, Experience designing and building complex dashboards, Permanent work authorization in the United States", "qualificationsPreferred" : "Master’s preferred, Commercial/marketing experience is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Job Description** Global Commercial Analytics (GCA) sits at the intersection of data, strategy, and commercial decision-making — translating complex, multi-source data into the intelligence that drives Pfizer's most consequential business decisions. GCA’s team of analysts, data scientists, and commercial strategists operates as the analytical backbone of the enterprise, partnering with senior leaders across the globe to answer questions that matter. GCA moves fast, thinks rigorously, and conducts analytics that have impact. The Performance Analytics and Insights team is seeking a Senior Director, PAI Specialty Care Lead to own the end-to-end secondary analytics engine for Pfizer's Specialty Care business. This is a strategic analytics leadership position for someone who can interrogate data, identify what it means for the business, and influence decisions at the highest levels of the organization. You will lead a team of deep analytics specialists and serve as the primary analytical voice for Specialty Care cross-functional partners and commercial leadership. **Role Responsibilities** The Senior Director will own the following: * Architect and lead a best-in-class secondary analytics organization for the Specialty Care portfolio, setting the analytical agenda and translating brand strategy into rigorous analyses and measurement frameworks. * Build, develop, lead and retain a high-performing team of analysts; create a culture of intellectual curiosity, analytical rigor, and commercial impact. * Serve as a strategic thought partner to cross-functional partners, BU leaders and heads of Specialty Care overall/IIS, delivering insights that are clear, defensible, and decision-ready. * Drive deep patient and HCP insights using syndicated, claims, and novel data sources — moving beyond trend reporting to uncover the \"why\" behind commercial performance. * Frame, structure, and answer the hardest commercial questions facing Specialty Care leadership, including competitive dynamics, market evolution, launch performance, and long-range planning. * Partner across GCA — including Data Science, Forecasting, and Digital Analytics — to pioneer new analytical methods, integrate emerging data assets, and push the boundaries of what secondary analytics can do. * Establish and enforce standards for analytical quality, data governance, and insight communication across the Oncology analytics ecosystem. **Qualifications** * Bachelor’s degree (Master’s preferred) in a quantitative technical discipline such as computer science, engineering or related field. * 12+ years’ experience in Biopharma, analytics, strategic consulting, business, or related area * 8+ years of hands-on coding experience in Python, R, SAS, SQL or other data analytics tools in life science * Leadership experience required. Must have managed cross-functional analytic teams and have a strong track-record of hiring analytical roles. * Demonstrated success in a highly fast-paced setting * Ability to identify new issues, trends, and opportunities from data * Ability to influence without authority, setting business direction, priorities, and action plans * Demonstrated analytical capabilities and critical thinking skills * Recent Healthcare Life Sciences and ecosystem professional industry experience is required, commercial/marketing experience is a plus. * Analytics, statistics and/or database knowledge and experience (using tools, applications, platforms, etc.). * Extensive expertise in SQL, Python, Scala or similar; other object-oriented programming languages. * Extensive understanding of data visualization tools and experience designing and building complex dashboards, including but not limited to Tableau, PowerBI, Qlik and Looker * Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. _**Other Job Details:**_ **Last Day to Apply:** June 15, 2026 **Work Location :** Selected candidate must be onsite 2.5 weekly. The annual base salary for this position ranges from $214,900.00 to $358,100.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 22.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview. Relocation assistance may be available based on business needs and/or eligibility. Candidates must be authorized to be employed in the U.S. by any employer. U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future. **Sunshine Act** Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. **EEO & Employment Eligibility** Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make [www.pfizer.com/careers](http://www.pfizer.com/careers) accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email [disabilityrecruitment@pfizer.com](mailto:disabilityrecruitment@pfizer.com). This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on [ _Pfizer Careers_](https://www.pfizer.com/about/careers/ai-use-guidelines). Marketing and Market Research", "summaryDescription" : "Senior Director, Performance Analytics and Insights Specialty Care at Pfizer. Skills: Performance analytics, Data insights, Analytics leadership. Architect secondary analytics organization. Lead secondary analytics organization", "postedDate" : "2026-06-09T13:36:13.809", "createdAt" : "2026-06-11T13:36:13.494", "lastUpdated" : "2026-06-12T10:20:11.443", "ingestTimestamp" : "2026-06-11T13:36:13.494", "mongoId" : "6a2a5deb74d8ee00a061acab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://pfizer.wd1.myworkdayjobs.com/PfizerCareers/job/United-States---New-York---New-York-City/Senior-Director--Performance-Analytics-and-Insights-Specialty-Care_4955794-2", "salaryAnnualMin" : 214900, "salaryAnnualMax" : 214900, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data interrogation", "Measurement frameworks", "Patient insights", "HCP insights", "Competitive dynamics", "Launch performance", "Long-range planning", "Analytical quality", "Data governance", "Insight communication", "Leadership", "Critical thinking", "Performance analytics", "Data insights", "Analytics leadership", "Commercial strategy", "Business intelligence", "Data science", "Data engineering", "ML/AI", "Analytics engineering", "Quantitative analysis", "Market research", "Biopharma", "Specialty Care portfolio", "Healthcare Life Sciences", "Commercial performance", "Oncology analytics", "Tableau", "PowerBI", "Qlik", "Looker" ], "skillCount" : 32, "jobCategory" : "other", "seniorityLevel" : "executive", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biopharma" }, { "id" : "6a305b67f292fd229cf5d4fc", "title" : "Director, Insights and Analytics", "company" : "Dyne Therapeutics", "industry" : "Biotech", "salary" : { "min" : 190000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Waltham, Massachusetts, United States", "locations" : [ "Waltham", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T08:31:17.425", "fingerprint" : "59f22a5765c588850e3ab8950630ad9bde5cc8895614c342afcde66b49a10ae1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dynetherapeutics/jobs/6020363004", "externalId" : "6020363004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Waltham", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3762385,-71.2355644" } ], "locationText" : "Waltham, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, R, SQL, JMP, Spotfire", "professionalSkills" : [ "Statistical analysis", "Data analysis", "Data visualization" ], "hardSkillsList" : [ "Statistical modeling", "Experimental design" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" } ], "majorSkills" : "Statistical modeling, Data analysis", "majorSkillsList" : [ "Statistical modeling", "Data analysis" ], "coreResponsibilities" : "Analyze experimental data, Develop statistical models, Design experiments, Generate reports, Communicate findings", "teamCollaboration" : "Research and Development teams; Cross-functional teams", "domainKnowledge" : "Biotechnology; Drug discovery", "domainList" : [ "biotechnology", "drug-discovery" ], "domainSpecificKnowledge" : [ "Biotechnology", "Drug discovery" ], "toolProficiency" : [ "JMP", "Spotfire", "R", "Python", "SQL" ], "communicationSkills" : "Written reports; Oral presentations", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Data interpretation; Troubleshooting", "qualificationsBasic" : "5+ years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, PhD preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Company Overview: Dyne Therapeutics is focused on delivering functional improvement for people living with genetically driven neuromuscular diseases. We are developing therapeutics that target muscle and the central nervous system (CNS) to address the root cause of disease. The company is advancing clinical programs for Duchenne muscular dystrophy (DMD) and myotonic dystrophy type 1 (DM1) as well as a preclinical programs for facioscapulohumeral muscular dystrophy (FSHD) and Pompe disease. At Dyne, we are on a mission to deliver functional improvement for individuals, families and communities. Learn more at https://www.dyne-tx.com/, and follow us on X, LinkedIn and Facebook. Role Summary: The Director, Insights and Analytics leads the generation of actionable market, customer, and data-driven insights to inform commercial strategy and execution across Dyne’s portfolio of assets in clinical development for rare neuromuscular diseases. This role integrates forecasting, market research, competitive intelligence, and advanced analytics to shape strategic decisions, optimize go-to-market planning, and enable organizational alignment. The Director serves as a strategic partner across cross-functional teams, translating complex data into clear, impactful recommendations that drive business outcomes. This role is based in Waltham, MA. Primary Responsibilities Include: Forecasting and Strategic Planning Lead development of long-range global forecasting models and scenario planning tools to project product uptake, access, and revenue Evaluate and enhance forecasting methodologies to improve accuracy, scalability, and agility Synthesize inputs across multiple data sources (e.g., market research, competitive intelligence, analogs) to validate assumptions and inform projections Support long-range planning, lifecycle management, and commercial assessments for pipeline and business development opportunities Partner with commercial operations and finance to guide operational forecasting and annual planning processes (AOP/budgeting) Serve as a strategic advisor to cross-functional stakeholders across Brand, Market Access, Finance, Supply, Trade, and IT Market Research and Insights Generation Design and execute global insights generation plans leveraging primary and secondary market research Manage end-to-end market research processes, including RFP development, vendor selection, and project execution Translate research findings into clear, actionable insights and strategic recommendations for senior leadership Ensure all research activities comply with data governance, privacy standards, and relevant external engagement policies Build strong partnerships with internal stakeholders to align insights with business priorities Competitive Intelligence Lead competitive intelligence strategy and analysis for key therapeutic areas, assessing market dynamics and competitive positioning Oversee execution of competitive intelligence activities, including monitoring, reporting, ad hoc analyses, and congress intelligence Deliver timely, actionable insights to inform go-to-market strategies, product development, and positioning Develop executive-ready materials and briefings to support leadership decision-making Represent the organization as the primary point of contact for competitive intelligence and at key congresses Commercial Data Analytics and Capability Building Expand and optimize the organization’s data ecosystem, including evaluation and integration of new data sources and tools Lead development of dashboards, KPIs, and performance tracking frameworks to enable data-driven decision-making Apply advanced analytics, statistical modeling, and trend analysis to generate insights from internal and external data Translate complex data into compelling narratives and recommendations that influence business action Educate stakeholders on data tools, dashboards, and data literacy to drive adoption and impact Ensure adherence to data governance, compliance, and privacy standards Education and Skills Requirements: Bachelor’s degree required; advanced degree (MBA, PhD, PharmD) preferred 10+ years of experience in forecasting, market research, competitive intelligence, and/or data analytics within biotech or pharmaceutical environments Experience supporting product launches and/or rare disease markets preferred Strong understanding of regulatory and compliance considerations related to market research and data usage in pharma/biotech Demonstrated ability to synthesize complex data and communicate insights clearly to diverse audiences, including senior leadership Exceptional data storytelling skills with expertise in translating insights into impactful presentations and recommendations Proven ability to lead through influence in a cross-functional, matrixed environment Experience managing external vendors, including negotiation, scope management, and performance oversight Strong business acumen with the ability to connect insights to strategic and operational decisions Ability to operate effectively in a fast-paced, dynamic environment while managing multiple priorities Demonstrates high standards of professionalism, integrity, and accountability #LI-Onsite MA Pay Range $190,000—$240,000 USD The pay range reflects the base pay range Dyne reasonably expects to pay for this role at the time of posting. Individual compensation depends on factors such as education, experience, job-related knowledge, and demonstrated skills. The statements contained herein reflect general details as necessary to describe the principles functions for this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences or relief, to equalize peak work periods or otherwise balance workload. Dyne Therapeutics is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.", "summaryDescription" : "Director, Insights and Analytics at Dyne Therapeutics. 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Thanks for stopping by \uD83D\uDC4B Are you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place! We’re looking for a Senior Manager, Strategic Finance- Insights and Analytics to join the Strategic Finance & Insights team working closely with the CFO and Executive Leadership Team on capital markets strategy, long-range planning, and multi-year business design. This role contributes directly to that work by leading the analytical layer that connects Lightspeed's revenue streams and by holding the FP&A relationship with data and analytics partners across the company. What you’ll be doing: You will lead the cross-functional analytical work that supports executive decision-making and serve as a partner to the Data Office and adjacent data and analytics teams. The team is anchored by senior individual contributors who own the forecasting and modeling for each of Lightspeed's revenue streams. This role works across them to produce analyses, methodology, and insights that no single revenue stream owner is positioned to deliver alone. You will report to the Director, Strategic Finance & Insights. Your responsibilities will include: - Insights and Analysis: Lead the structuring, execution, and delivery of cross-functional analyses spanning all revenue streams (Software, Payments, Capital, and Hardware). Translate variances, structural shifts, and emerging trends across the business into clear narratives for senior finance leadership. - Data Partnership and Stewardship: Serve as the senior FP&A point of contact for the Data Office, analytics teams, and platform owners across the company. Represent FP&A's position on the definition and integrity of finance-critical metrics, contribute to cross-functional alignment on master data management, standardized reporting dimensions, and data governance frameworks, and translate between technical data discussions and finance audiences. - Forecasting Methodology and Accuracy: Support the evolution of Lightspeed's forecasting methodology and the framework used to assess forecasting accuracy. Identify structural sources of variance and contribute to improvements in how the team forecasts the business. - AI and Innovation: Integrate AI tools, automation, and emerging analytical techniques into the team's analytical workflows where they meaningfully improve quality or efficiency. What you need to bring: - Experience & Education: - Bachelor's degree in Finance, Economics, Business, Engineering, or a related quantitative field. - 7+ years of progressive FP&A, strategic finance, or analytical experience, ideally in a multi-product SaaS or payments environment. - Experience with EPM platforms (Pigment, Adaptive, Anaplan, or similar). - Experience at a public company is preferred. - Track record of producing executive-facing analysis across multiple business lines or revenue streams. - Experience partnering with data, analytics, or BI teams as a primary stakeholder. - Experience with or exposure to master data management, data governance frameworks, or standardized reporting dimensions is a bonus. - CPA or CFA designation is a bonus. - Technical & Analytical Skills: - Deep fluency in SaaS metrics: NRR, ARPU, churn, LTV/CAC, Rule of 40, etc. - Strong financial modeling skills in Google Sheets/Excel. - Familiarity with SQL and modern data tooling sufficient to partner with data teams as a peer and understand what good looks like. Hands-on coding proficiency is not required. - Comfortable building structure across large, messy datasets where processes don't yet exist. - AI fluency. You use LLMs, copilots, and automation tools in your actual workflow, not just as a talking point. Excitement about what's next matters as much as what you already know. - Communication & Collaboration: - Ability to translate complex analysis into simple, actionable narratives for non-finance stakeholders. - Comfort operating with ambiguity and making methodology calls with incomplete information. - Cross-functional fluency. You've worked across Data, Accounting, and business teams, not just within Finance. - Experience presenting to and influencing senior leadership, not just producing deliverables for them. You’ll enjoy: - A flexible work environment that empowers you to do your best work - A culture that celebrates performance - The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard - Career-defining opportunities Plus benefits designed to keep you happy, healthy and fulfilled. - Flexible paid time off and remote work policies - Equity options, because this is your company too - Contributions to your pension plan. Your future matters - Training opportunities to grow your skills and career - Health and wellness credit so you feel your best - Time off to volunteer and give back to your community - Interest groups, employee led networks, social committees to sponsored sports teams - Computer purchase program to get your personal Macbook - Enhanced parental leave to support growing families #LI-SS3 To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes. Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. WHERE TO FROM HERE? Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here https://www.lightspeedhq.com/careers/. Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs. WHO WE ARE: Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks. Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries. Lightspeed handles your information in accordance with our Applicant Privacy Statement https://www.lightspeedhq.com/legal/applicant-privacy-statement/. 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Thanks for stopping by \uD83D\uDC4B Are you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place! We’re looking for a Senior Manager, Strategic Finance- Insights and Analytics to join the Strategic Finance & Insights team working closely with the CFO and Executive Leadership Team on capital markets strategy, long-range planning, and multi-year business design. This role contributes directly to that work by leading the analytical layer that connects Lightspeed's revenue streams and by holding the FP&A relationship with data and analytics partners across the company. What you’ll be doing: You will lead the cross-functional analytical work that supports executive decision-making and serve as a partner to the Data Office and adjacent data and analytics teams. The team is anchored by senior individual contributors who own the forecasting and modeling for each of Lightspeed's revenue streams. This role works across them to produce analyses, methodology, and insights that no single revenue stream owner is positioned to deliver alone. You will report to the Director, Strategic Finance & Insights. Your responsibilities will include: - Insights and Analysis: Lead the structuring, execution, and delivery of cross-functional analyses spanning all revenue streams (Software, Payments, Capital, and Hardware). Translate variances, structural shifts, and emerging trends across the business into clear narratives for senior finance leadership. - Data Partnership and Stewardship: Serve as the senior FP&A point of contact for the Data Office, analytics teams, and platform owners across the company. Represent FP&A's position on the definition and integrity of finance-critical metrics, contribute to cross-functional alignment on master data management, standardized reporting dimensions, and data governance frameworks, and translate between technical data discussions and finance audiences. - Forecasting Methodology and Accuracy: Support the evolution of Lightspeed's forecasting methodology and the framework used to assess forecasting accuracy. Identify structural sources of variance and contribute to improvements in how the team forecasts the business. - AI and Innovation: Integrate AI tools, automation, and emerging analytical techniques into the team's analytical workflows where they meaningfully improve quality or efficiency. What you need to bring: - Experience & Education: - Bachelor's degree in Finance, Economics, Business, Engineering, or a related quantitative field. - 7+ years of progressive FP&A, strategic finance, or analytical experience, ideally in a multi-product SaaS or payments environment. - Experience with EPM platforms (Pigment, Adaptive, Anaplan, or similar). - Experience at a public company is preferred. - Track record of producing executive-facing analysis across multiple business lines or revenue streams. - Experience partnering with data, analytics, or BI teams as a primary stakeholder. - Experience with or exposure to master data management, data governance frameworks, or standardized reporting dimensions is a bonus. - CPA or CFA designation is a bonus. - Technical & Analytical Skills: - Deep fluency in SaaS metrics: NRR, ARPU, churn, LTV/CAC, Rule of 40, etc. - Strong financial modeling skills in Google Sheets/Excel. - Familiarity with SQL and modern data tooling sufficient to partner with data teams as a peer and understand what good looks like. Hands-on coding proficiency is not required. - Comfortable building structure across large, messy datasets where processes don't yet exist. - AI fluency. You use LLMs, copilots, and automation tools in your actual workflow, not just as a talking point. Excitement about what's next matters as much as what you already know. - Communication & Collaboration: - Ability to translate complex analysis into simple, actionable narratives for non-finance stakeholders. - Comfort operating with ambiguity and making methodology calls with incomplete information. - Cross-functional fluency. You've worked across Data, Accounting, and business teams, not just within Finance. - Experience presenting to and influencing senior leadership, not just producing deliverables for them. You’ll enjoy: - A flexible work environment that empowers you to do your best work - A culture that celebrates performance - The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard - Career-defining opportunities Plus benefits designed to keep you happy, healthy and fulfilled. - Flexible paid time off and remote work policies - Equity options, because this is your company too - Contributions to your pension plan. Your future matters - Training opportunities to grow your skills and career - Health and wellness credit so you feel your best - Time off to volunteer and give back to your community - Interest groups, employee led networks, social committees to sponsored sports teams - Computer purchase program to get your personal Macbook - Enhanced parental leave to support growing families - We got you covered! A variety of snacks, coffee, and teas are always accessible and available in the office kitchen .Tuesday's- Thursday's: Lunch is served, and Thursday’s is Happy hours with a variety of drinks and snacks #LI-SS3 To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes. Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. WHERE TO FROM HERE? Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here https://www.lightspeedhq.com/careers/. Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs. WHO WE ARE: Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks. Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries. Lightspeed handles your information in accordance with our Applicant Privacy Statement https://www.lightspeedhq.com/legal/applicant-privacy-statement/. ", "summaryDescription" : "Senior Manager, Strategic Finance- Insights and Analytics at Lightspeed", "createdAt" : "2026-06-14T20:26:54.924", "lastUpdated" : "2026-06-16T00:24:08.921", "ingestTimestamp" : "2026-06-14T20:26:54.924", "mongoId" : "6a2cf9a674d8ee00a0a9b505", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cf9a674d8ee00a0a9b504", "title" : "Senior Manager, Strategic Finance- Insights and Analytics", "company" : "Lightspeed", "industry" : "Operations", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Manager in Strategic Finance- Insights and Analytics at a SaaS company in Vancouver, Canada, adjusted for seniority and industry." }, "location" : "Vancouver", "locations" : [ "Vancouver" ], "timestamp" : "2026-06-16T02:42:21.126", "fingerprint" : "c918e4b0fed79a48361f9395f3a13b8cd34e3d52315ada5836c322318c8cd2c8", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lightspeedhq/665b18e9-d46e-4815-b58c-6fd63cf4e05c/application", "externalId" : "665b18e9-d46e-4815-b58c-6fd63cf4e05c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "Hi there! Thanks for stopping by \uD83D\uDC4B Are you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place! We’re looking for a Senior Manager, Strategic Finance- Insights and Analytics to join the Strategic Finance & Insights team working closely with the CFO and Executive Leadership Team on capital markets strategy, long-range planning, and multi-year business design. This role contributes directly to that work by leading the analytical layer that connects Lightspeed's revenue streams and by holding the FP&A relationship with data and analytics partners across the company. What you’ll be doing: You will lead the cross-functional analytical work that supports executive decision-making and serve as a partner to the Data Office and adjacent data and analytics teams. The team is anchored by senior individual contributors who own the forecasting and modeling for each of Lightspeed's revenue streams. This role works across them to produce analyses, methodology, and insights that no single revenue stream owner is positioned to deliver alone. You will report to the Director, Strategic Finance & Insights. Your responsibilities will include: - Insights and Analysis: Lead the structuring, execution, and delivery of cross-functional analyses spanning all revenue streams (Software, Payments, Capital, and Hardware). Translate variances, structural shifts, and emerging trends across the business into clear narratives for senior finance leadership. - Data Partnership and Stewardship: Serve as the senior FP&A point of contact for the Data Office, analytics teams, and platform owners across the company. Represent FP&A's position on the definition and integrity of finance-critical metrics, contribute to cross-functional alignment on master data management, standardized reporting dimensions, and data governance frameworks, and translate between technical data discussions and finance audiences. - Forecasting Methodology and Accuracy: Support the evolution of Lightspeed's forecasting methodology and the framework used to assess forecasting accuracy. Identify structural sources of variance and contribute to improvements in how the team forecasts the business. - AI and Innovation: Integrate AI tools, automation, and emerging analytical techniques into the team's analytical workflows where they meaningfully improve quality or efficiency. What you need to bring: - Experience & Education: - Bachelor's degree in Finance, Economics, Business, Engineering, or a related quantitative field. - 7+ years of progressive FP&A, strategic finance, or analytical experience, ideally in a multi-product SaaS or payments environment. - Experience with EPM platforms (Pigment, Adaptive, Anaplan, or similar). - Experience at a public company is preferred. - Track record of producing executive-facing analysis across multiple business lines or revenue streams. - Experience partnering with data, analytics, or BI teams as a primary stakeholder. - Experience with or exposure to master data management, data governance frameworks, or standardized reporting dimensions is a bonus. - CPA or CFA designation is a bonus. - Technical & Analytical Skills: - Deep fluency in SaaS metrics: NRR, ARPU, churn, LTV/CAC, Rule of 40, etc. - Strong financial modeling skills in Google Sheets/Excel. - Familiarity with SQL and modern data tooling sufficient to partner with data teams as a peer and understand what good looks like. Hands-on coding proficiency is not required. - Comfortable building structure across large, messy datasets where processes don't yet exist. - AI fluency. You use LLMs, copilots, and automation tools in your actual workflow, not just as a talking point. Excitement about what's next matters as much as what you already know. - Communication & Collaboration: - Ability to translate complex analysis into simple, actionable narratives for non-finance stakeholders. - Comfort operating with ambiguity and making methodology calls with incomplete information. - Cross-functional fluency. You've worked across Data, Accounting, and business teams, not just within Finance. - Experience presenting to and influencing senior leadership, not just producing deliverables for them. You’ll enjoy: - A flexible work environment that empowers you to do your best work - A culture that celebrates performance - The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard - Career-defining opportunities Plus benefits designed to keep you happy, healthy and fulfilled. - Flexible paid time off and remote work policies - Equity options, because this is your company too - Contributions to your pension plan. Your future matters - Training opportunities to grow your skills and career - Health and wellness credit so you feel your best - Time off to volunteer and give back to your community - Interest groups, employee led networks, social committees to sponsored sports teams - Computer purchase program to get your personal Macbook - Enhanced parental leave to support growing families At Lightspeed, we carefully consider a wide range of factors when determining compensation, including your skill set, qualifications, experience, and market data. These considerations can cause your compensation to vary. We reasonably expect the total compensation for this position to be in the range of $140,000-180,000k Lightspeed also provides a variety of employee benefits including, but not limited to, medical, dental, wellness, life and disability insurance, RRSP plan and match, paid parental leave top-up, and paid time off. Please note that this compensation information is solely for candidates hired to perform work within Ontario and reflects the amount Lightspeed is willing to pay at the time of this posting. This role represents an existing vacancy at Lightspeed. Lightspeed uses artificial intelligence–enabled tools to support certain aspects of the recruitment process; all hiring decisions are made by our recruiting and hiring teams. #LI-SS3 To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes. Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. WHERE TO FROM HERE? Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here https://www.lightspeedhq.com/careers/. Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs. WHO WE ARE: Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks. Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries. Lightspeed handles your information in accordance with our Applicant Privacy Statement https://www.lightspeedhq.com/legal/applicant-privacy-statement/. ", "summaryDescription" : "Senior Manager, Strategic Finance- Insights and Analytics at Lightspeed", "createdAt" : "2026-06-14T19:17:26.883", "lastUpdated" : "2026-06-16T02:42:21.126", "ingestTimestamp" : "2026-06-14T19:17:26.883", "mongoId" : "6a2cf9a674d8ee00a0a9b504", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306afff292fd229cfceb63", "title" : "Sr Manager, Distribution Insights and Analytics", "company" : "NBCUniversal", "industry" : "Entertainment", "salary" : { "min" : 120000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NEW YORK, United States", "locations" : [ "New York", "NEW YORK", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T09:18:42.965", "fingerprint" : "afaa085e21ddbf0c4130a3767da4a46bd58a9db2da6ebd7e96afc025017dff0f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NBCUniversal3/744000132217389-sr-manager-distribution-insights-and-analytics", "externalId" : "744000132217389", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, 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", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "Machine learning", "Business intelligence", "Statistical modeling", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Machine learning, Business intelligence, Data engineering", "majorSkillsList" : [ "Data analytics", "Machine learning", "Business intelligence", "Data engineering" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and optimize data models, Design and implement BI solutions, Perform statistical analysis, Develop and deploy machine learning models, Collaborate with stakeholders to understand data needs, Communicate insights and recommendations, Ensure data quality and integrity", "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" : [ "SQL", "Python", "R", "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" ], "communicationSkills" : "Communicate insights; Communicate recommendations", "problemSolvingSkills" : "Data analysis; Statistical analysis; Troubleshooting", "qualificationsBasic" : "5+ years of experience in data analytics or related field, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "Master's degree preferred, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with BI tools (Tableau, Power BI, Looker)", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. About Platform Distribution & Partnerships: Platform Distribution and Partnerships is a division of NBCUniversal's media group responsible for the distribution and monetization of the company’s multi-billion-dollar linear and streaming services portfolio to pay-tv providers, NBC broadcast affiliates, consumer technology platforms and devices, and consumer brands. A key revenue-generator, the division is comprised of content distribution, affiliate relations and strategic partnerships across NBC, Peacock, Bravo, Telemundo and various FAST channels This is a unique and outstanding opportunity that offers exposure to all aspects of the NBC Network. The Affiliate Relations Division liaises between the NBC Network/Peacock and the 200+ NBC Affiliate Local Stations around the US. This includes working with Entertainment, Sports, News and Peacock. The Sr. Manager will lead the insights and analytics function for the division, focusing on the evolution of consumer viewing habits across linear and streaming platforms. The efforts will inform NBC’s broadcast distribution strategy across partners and platforms. The ideal candidate is a self-starter that can leverage a wide range of data tools to support high-visibility projects. Responsibilities * Responsible for supporting all ratings/data requests (recurring and ad-hoc) for Affiliate Relations team and larger Platform Distribution & Partnerships organization * Leverage data sources to develop internal presentations and client sales materials for critical affiliate deals * Develop frameworks for evaluating viewership of NBC/competitor content across platforms (Pay-TV, over-the-air, FAST) to shape competitive positioning * Work with leadership, communications, PR and other teams to support the development of materials for clients and industry platforms * Represent Affiliate Relations/Broadcast perspective when working on initiatives with vendors (i.e. Nielsen) and broader Decision Sciences organization * Work across NBCU departments to manage platforms and databases housing key station/market information such as ratings and clearances * Support Affiliate Reps in managing daily affiliate station relationships, with a focus on driving operational consistency ## Qualifications Qualifications * 6+ years of experience in insights, strategy, consulting or a related function * 3+ years of experience in measurement, analytics or insights at a media company (station, network, data platform) * Expertise in Media research platforms such as Nielsen, comScore, SNL Kagan, Adobe, Antenna * Expert Excel skills and experience compiling, transforming, and modeling stories using large datasets * Experience crafting compelling PowerPoint presentations that tell meaningful stories with data * Familiarity working with visualization tools (ex. Tableau) * Superior organizational and administrative skills with the ability to multi-task and prioritize work required * Excellent verbal and written communication skills with all levels both internal and external Additional Requirements: * Hybrid: This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. * This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. * Sr. Manager Salary range: $120,000 - $145,000 (Bonus Eligible) ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.", "summaryDescription" : "Sr Manager, Distribution Insights and Analytics at NBCUniversal. Skills: Data analytics, Machine learning, Business intelligence, Data engineering. Develop and maintain data pipelines. Build and optimize data models", "postedDate" : "2026-06-15T14:25:16.000", "createdAt" : "2026-06-16T00:14:42.954", "lastUpdated" : "2026-06-16T09:18:42.965", "ingestTimestamp" : "2026-06-16T00:14:42.954", "mongoId" : "6a306afff292fd229cfceb63", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data engineering", "Machine learning", "Business intelligence", "Statistical modeling", "A/B testing", "Causal inference", "Data analytics", "Data modeling", "Statistical analysis", "Quantitative analysis", "Data science", "Analytics engineering", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Modelling skills", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "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" ], "skillCount" : 52, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a304ff3f292fd229ceeb334", "title" : "Sr Manager, Distribution Insights and Analytics", "company" : "NBCUniversal", "industry" : "Entertainment", "salary" : { "min" : 120000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NEW YORK, United States", "locations" : [ "New York", "NEW YORK", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:45:12.856", "fingerprint" : "55427dd654eb7d917189288e6c25472957d891875ce5f91427c51d29ab5b8218", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NBCUniversal3/744000132217389-sr-manager-distribution-insights-and-analytics", "externalId" : "744000132217389", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio, Tableau, Power BI, Looker", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data modeling", "Statistical methods", "Machine learning", "Data engineering", "Business intelligence", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, Data Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and deploy machine learning models, Create and manage BI dashboards, Perform data analysis and generate insights, Collaborate with stakeholders to understand data needs, Ensure data quality and integrity, Stay current with industry trends and technologies", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Data warehousing; Cloud data stacks; ML frameworks; BI platforms; Statistical modelling", "domainList" : [ "data-warehousing", "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-modelling" ], "domainSpecificKnowledge" : [ "Data warehousing", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical modelling" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years of experience in analytics or data science, Proficiency in SQL, Experience with Python or R, Experience with data visualization tools", "qualificationsPreferred" : "Master's degree in a quantitative field, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with data warehousing solutions (Snowflake, BigQuery, Redshift), Experience with BI platforms (Tableau, Power BI, Looker)", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. About Platform Distribution & Partnerships: Platform Distribution and Partnerships is a division of NBCUniversal's media group responsible for the distribution and monetization of the company’s multi-billion-dollar linear and streaming services portfolio to pay-tv providers, NBC broadcast affiliates, consumer technology platforms and devices, and consumer brands. A key revenue-generator, the division is comprised of content distribution, affiliate relations and strategic partnerships across NBC, Peacock, Bravo, Telemundo and various FAST channels This is a unique and outstanding opportunity that offers exposure to all aspects of the NBC Network. The Affiliate Relations Division liaises between the NBC Network/Peacock and the 200+ NBC Affiliate Local Stations around the US. This includes working with Entertainment, Sports, News and Peacock. The Sr. Manager will lead the insights and analytics function for the division, focusing on the evolution of consumer viewing habits across linear and streaming platforms. The efforts will inform NBC’s broadcast distribution strategy across partners and platforms. The ideal candidate is a self-starter that can leverage a wide range of data tools to support high-visibility projects. Responsibilities * Responsible for supporting all ratings/data requests (recurring and ad-hoc) for Affiliate Relations team and larger Platform Distribution & Partnerships organization * Leverage data sources to develop internal presentations and client sales materials for critical affiliate deals * Develop frameworks for evaluating viewership of NBC/competitor content across platforms (Pay-TV, over-the-air, FAST) to shape competitive positioning * Work with leadership, communications, PR and other teams to support the development of materials for clients and industry platforms * Represent Affiliate Relations/Broadcast perspective when working on initiatives with vendors (i.e. Nielsen) and broader Decision Sciences organization * Work across NBCU departments to manage platforms and databases housing key station/market information such as ratings and clearances * Support Affiliate Reps in managing daily affiliate station relationships, with a focus on driving operational consistency ## Qualifications Qualifications * 6+ years of experience in insights, strategy, consulting or a related function * 3+ years of experience in measurement, analytics or insights at a media company (station, network, data platform) * Expertise in Media research platforms such as Nielsen, comScore, SNL Kagan, Adobe, Antenna * Expert Excel skills and experience compiling, transforming, and modeling stories using large datasets * Experience crafting compelling PowerPoint presentations that tell meaningful stories with data * Familiarity working with visualization tools (ex. Tableau) * Superior organizational and administrative skills with the ability to multi-task and prioritize work required * Excellent verbal and written communication skills with all levels both internal and external Additional Requirements: * Hybrid: This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. * This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. * Sr. Manager Salary range: $120,000 - $145,000 (Bonus Eligible) ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.", "summaryDescription" : "Sr Manager, Distribution Insights and Analytics at NBCUniversal. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and maintain data pipelines. Build and deploy machine learning models", "postedDate" : "2026-06-15T14:25:16.000", "createdAt" : "2026-06-15T21:41:18.491", "lastUpdated" : "2026-06-16T08:45:12.856", "ingestTimestamp" : "2026-06-15T21:41:18.491", "mongoId" : "6a304ff3f292fd229ceeb334", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data modeling", "Statistical methods", "Machine learning", "Data engineering", "Business intelligence", "A/B testing", "Causal inference", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Statistical analysis", "Quantitative analysis", "Data warehousing", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical modelling", "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" : 39, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3066edf292fd229cfb7590", "title" : "Senior Manager, People Analytics & Insights", "company" : "SageSure", "industry" : "Insurance", "salary" : { "min" : 158000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Manager, People Analytics & Insights in Chicago, IL, adjusted for the insurance industry and company size." }, "location" : "Chicago, Illinois, United States", "locations" : [ "Chicago", "Illinois", "United States", "Jersey City", "New Jersey", "United States" ], "timestamp" : "2026-06-16T09:14:34.118", "fingerprint" : "059160d9a661f303c62c7734a96c5e303739bbb36d14035a7480c7f14929b38a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.sagesure.com/careers/current-job-openings/?gh_jid=4686395006", "externalId" : "4686395006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "experienceLevel" : "Manager", "rawDescription" : "Overview: SageSure is seeking a Senior Manager, People Analytics and Insights to build and scale a modern analytics capability within the People function. This role reports to the Director, People Strategy and Operations. This role is responsible for establishing foundational reporting, defining key workforce metrics, and delivering insights that inform strategic decision-making for our business leaders. You will operate as a hands-on builder, creating structure from fragmented data and evolving capabilities over time, including increased automation and more advanced approaches where sensible (e.g., AI-enabled analytics). You will partner closely with People leadership, People Systems, FP Mountain View, CA; Cheshire, CT; Jacksonville, FL; Tallahassee, FL; Tampa, FL; Chicago, IL; Jersey City, NJ; Marlton, NJ; Cincinnati, OH; Houston, TX; Sheboygan, WI—who are tackling the industry’s toughest challenges.     SageSure is a proud Equal Opportunity Employer committed to building a workforce that reflects the spectrum of perspectives, experiences, and abilities of the world we live in. We recognize that our differences make us strong, and we actively seek out diverse candidates through partnerships with organizations, institutions and communities that represent various backgrounds. We champion belonging and inclusion for all identities, including, but not limited to, race, ethnicity, religion, sexual orientation, age, veteran status, ability status, gender, and country of origin, striving to create a culture where all individuals feel valued, respected, and empowered to bring their authentic selves to work. Our nimble, highly responsive culture nurtures critical thinkers who run toward problems and engineer solutions. We relentlessly pursue better outcomes by investing in the technology, talent, and tools that position us to succeed in demanding markets. Come join our team! Visit sagesure.com/careers to find a position for you. California Applicants: View SageSure’s Workforce Members’ Privacy Notice - CA Privacy Policy & Notice of Collection", "summaryDescription" : "Senior Manager, People Analytics & Insights at SageSure", "postedDate" : "2026-06-15T23:26:53.892", "createdAt" : "2026-06-15T23:26:53.892", "lastUpdated" : "2026-06-16T09:14:34.118", "ingestTimestamp" : "2026-06-15T23:26:53.892", "mongoId" : "6a3066edf292fd229cfb7590", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 158000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.95 }, { "id" : "69cf3f092beec4dd3d934339", "title" : "Consultant, Analytics & Insights", "company" : "Amazon Advertising LLC", "industry" : "Sales, Advertising, Account Management, Professional Services", "salary" : { "min" : 50000.0, "max" : 195400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T04:39:48.842", "fingerprint" : "e2b37cab20fd5cb9a4e410b3e2257ef368cb9d67aa5a219566ee27dfeeeaa7e6", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381284/apply", "externalId" : "3cfa8739-28a1-42fa-b947-45d1e17f1ab9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, R, Stata, Python", "professionalSkills" : [ "Data analysis", "Client facing", "Marketing strategy", "Brand advertising", "Media sales", "Online advertising" ], "hardSkillsList" : [ "Data analysis", "Complex query writing", "Data translation" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Complex query writing", "level" : "intermediate" }, { "name" : "Data translation", "level" : "intermediate" } ], "majorSkills" : "Analytics, Insights, Data analysis, Client consulting", "majorSkillsList" : [ "Analytics", "Insights", "Data analysis", "Client consulting" ], "coreResponsibilities" : "Deliver insights for advertisers, Be an analytical consultant for advertisers, Provide relevant insights for strategy discussions, Provide relevant insights for negotiations, Advance relationships with senior marketing decision makers, Establish oneself as go-to expert, Develop expertise in Amazon’s proprietary metrics, Evolve how we analyze data, Evolve how we communicate data, Drive decisions that increase ease of use of, Drive decisions that increase availability of data, Conduct analyses leveraging untapped datasets, Write documents with recommendations, Influence how partners teams operate", "teamCollaboration" : "Work with sales; Work with product; Work with retail; Work with business partners; Work with internal teams; Work with external partners; Work with partners teams", "domainKnowledge" : "Digital advertising; Online advertising; Performance advertising", "domainList" : [ "digital-advertising", "online-advertising", "performance-advertising" ], "domainSpecificKnowledge" : [ "Digital advertising", "Online advertising", "Performance advertising" ], "communicationSkills" : "Communicate recommendations; Compelling fashion", "problemSolvingSkills" : "Data-driven insights; Actionable insights; Actionable recommendations", "outcomesObjectives" : "Drive their businesses forward; Improve advertiser campaigns; Unlock business opportunities; Increase ease of use of data; Increase availability of data; Measurably more successful with Amazon", "qualificationsBasic" : "Experience translating technical aspects into actionable insights, Advanced SQL & ability to write complex queries, 5+ years digital advertising client-facing experience, 4+ years marketing/brand advertising/media sales experience, Experience conducting sophisticated analysis of complex data, Knowledge of data analysis languages (R, Stata, Python), Experience using customer service skills, Experience using communication skills, Experience using interpersonal skills", "qualificationsPreferred" : "Experience with advertising publishers, Experience with marketing/creative agencies, Master's degree or above in marketing, advertising, or business, 8+ years digital ad sales experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Advertising exists at the intersection of marketing and ecommerce and offers advertisers a rich array of innovative advertising solutions across Amazon owned properties, as well as third party properties Amazon operates. We believe that advertising, when done well, can greatly enhance the value of the customer experience and generate a positive return on investment for our advertising partners. We are currently looking for a highly skilled and motivated consultant, Analytics & Insights to join the team. This role is a key member of the customer success team at Amazon Advertising, working with sales, product, retail and other Amazon business partners to analyze and improve advertisers’ performance on Amazon, in support of their marketing initiatives. Consultants, Analytics & Insights work with Amazon's unique data and translate it into high-quality and actionable insights and recommendations to improve the effectiveness of advertiser campaigns and unlock business opportunities. Day to day, the activities include analyzing metrics of success for a business or category, developing data-driven insights and recommendations and communicating recommendations in a clear and compelling fashion. Key job responsibilities • Deliver insights for some of the world’s largest advertisers to drive their businesses forward. • Be an analytical consultant for advertisers, by providing relevant insights that will be incorporated into upfront strategy discussions and negotiations. • Advance relationships with senior marketing decision makers (e.g. senior director, c-level) and establish oneself as go-to expert in at least one advanced analytical area of advertising. • Develop great expertise in Amazon’s proprietary metrics, working to constantly evolve how we analyze and communicate data-driven insights to our advertisers. • Drive decisions that increase the ease of use and availability of data to both internal teams and external partners. Conduct analyses which leverage previously untapped datasets. • Write documents with recommendations that influence how partners teams with Amazon Advertising operate, such as Account Management, Sales, or Product. About the team The Analytics & Insights (A&I) organization develops actionable insights using Amazon’s unique data to influence how advertisers promote their businesses. Our insights enhance their marketing decision-making, leading to them to be measurably more successful with Amazon. Basic Qualifications: - Experience translating technical aspects of analysis and metrics into actionable insights for the advertiser and both technical and non-technical stakeholders - Experience in advanced SQL & ability to write complex queries from scratch from multiple tables - 5+ years of digital advertising and client facing roles with a focus on data analysis experience - 4+ years of marketing, brand advertising, media sales or online advertising work and close work with senior advertisers and agency stakeholders experience - Experience conducting sophisticated and creative analysis of complex data and translate the results into actionable deliverables, messages, and presentations - Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software - Experience using strong customer service, communication, and interpersonal skills Preferred Qualifications: - Experience with advertising publishers and marketing/creative agencies - Master's degree or above in marketing, advertising, business or equivalent - 8+ years of digital ad sales as an individual contributor selling performances based advertising or similiar offering experience 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 - 144,500.00 - 195,400.00 USD annually", "summaryDescription" : "Consultant, Analytics & Insights at Amazon Advertising LLC. Skills: Analytics, Insights, Data analysis, Client consulting. Deliver insights for advertisers. Be an analytical consultant for advertisers", "postedDate" : "2026-06-13T09:42:10.264", "createdAt" : "2026-06-13T09:42:10.264", "lastUpdated" : "2026-06-15T04:39:48.842", "ingestTimestamp" : "2026-06-13T09:42:10.264", "mongoId" : "69cf3f092beec4dd3d934339", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381284/apply", "salaryAnnualMin" : 50000, "salaryAnnualMax" : 195400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Complex query writing", "Data translation", "Analytics", "Insights", "Client consulting", "Client facing", "Marketing strategy", "Brand advertising", "Media sales", "Online advertising", "Digital advertising", "Performance advertising" ], "skillCount" : 13, "jobCategory" : "marketing", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c9ff674d8ee00a09a0efe", "title" : "Analytics Manager, Partner Insights", "company" : "Rula", "industry" : "Finance", "salary" : { "min" : 157250.0, "max" : 175750.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-15T14:13:36.599", "fingerprint" : "0fc9c58195e0b2bfb049028b1186865badc1f06a7131f7b0349469202156075f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/rula/36c48692-0a06-4d31-971c-63ae1f29d391/application", "externalId" : "36c48692-0a06-4d31-971c-63ae1f29d391", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "SQL, Dbt, Airflow, Looker, Tableau, Hex", "professionalSkills" : [ "Data storytelling", "Reporting systems design", "Trend analysis", "Cross-functional partnership", "Strategy influence", "Client success support" ], "hardSkillsList" : [ "Quantitative analysis", "Data visualization", "Automation" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Reporting systems, Partner insights", "majorSkillsList" : [ "Data analytics", "Reporting systems", "Partner insights" ], "coreResponsibilities" : "Design reporting systems, Present insights to stakeholders, Automate foundational reports, Dive into trends", "teamCollaboration" : "Cross-functional partner; Internal client success teams; Sales teams", "domainKnowledge" : "Healthcare data; Payer reporting; Health system reporting; Clinical outcomes; Cost of care; Network adequacy; Utilization rates", "domainList" : [ "healthcare-data", "payer-reporting", "health-system-reporting", "clinical-outcomes", "cost-of-care", "network-adequacy", "utilization-rates" ], "domainSpecificKnowledge" : [ "Healthcare data", "Payer reporting", "Health system reporting", "Clinical outcomes", "Cost of care", "Network adequacy", "Utilization rates" ], "toolProficiency" : [ "SQL", "Dbt", "Airflow", "Looker", "Tableau", "Hex" ], "communicationSkills" : "Present insights", "problemSolvingSkills" : "Data analysis", "outcomesObjectives" : "Transform data into stories; Unlock time for deeper trends", "qualificationsBasic" : "5+ years experience, Bachelor's degree, SQL proficiency, Dbt proficiency, Airflow proficiency, Looker proficiency, Tableau proficiency, Hex proficiency, Experience with health plans, Experience with healthcare analytics, Experience with payer reporting, Experience with health-system reporting", "qualificationsPreferred" : "Startup environment experience, Transition manual reporting to automated workflows, Deep understanding of clinical outcomes, Deep understanding of cost of care, Deep understanding of network adequacy, Deep understanding of utilization rates", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms. We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being. We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare. Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii. About the Role This role empowers Rula’s partnership teams by transforming complex healthcare data into clear, compelling stories for our largest partners. As an individual contributor, you will be responsible for designing reliable reporting systems and directly presenting easy-to-understand insights to external stakeholders. By applying your technical skills to automate foundational reports, you will unlock the time needed to dive into deeper trends around care and operational success. Ultimately, you will be a key customer-facing guide at the crossroads of data and relationships, directly influencing how partners experience the value Rula brings to the table. Required Qualifications - 5+ years of experience, embedded within an Analytics, Data Science, Operations, Product, or Engineering function - A Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, or related technical field with strong quantitative foundation - Experience working with health plans, healthcare analytics, payer and health-system-facing reporting - Advanced technical expertise with modern data stacks (i.e. SQL, dbt, Airflow, etc.) and data visualization tools (i.e. Looker, Tableau, Hex, etc.) - Experience operating as a highly collaborative cross-functional partner, with the ability to influence strategy, proactively anticipate cross-functional needs, and support internal client success/sales teams without having direct ownership of the account Preferred Qualifications While having the preferred qualifications enhances your candidacy, having all of them is not mandatory. We encourage all interested applicants to apply, even those who may not meet every preferred requirement. - Experience within a fast-paced, high-growth, marketplace-centric startup environment with the ability to handle dynamic analytical priorities - A proven track record of successfully transitioning manual, one-off reporting tasks into automated, scalable workflows and templates - Deep understanding of specific healthcare performance indicators, such as clinical outcomes, cost of care, network adequacy, or utilization rates We're serious about your well-being! As part of our team, full-time employees receive: - 100% remote work environment: Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments (must be based in United States, currently not hiring in Hawaii) - Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States - Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA - 401(k) plan access: Start saving for your future - Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees) - Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering - Employee Assistance Program (EAP): Supporting your mental and physical health - Quarterly department stipend: Fun team-building activities or in-person gatherings - Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all - Home office stipend: New hire home office stipend & $50 monthly stipend to help cover internet or cell phone expenses - Wellness at Rula program: Year-round wellness initiatives and a $50/month wellness stipend Our team We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone. We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued.", "summaryDescription" : "Analytics Manager, Partner Insights at Rula. Skills: Data analytics, Reporting systems, Partner insights. Design reporting systems. Present insights to stakeholders", "createdAt" : "2026-06-14T09:31:37.505", "lastUpdated" : "2026-06-15T14:13:36.599", "ingestTimestamp" : "2026-06-14T09:31:37.505", "mongoId" : "6a2c9ff674d8ee00a09a0efe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 157250, "salaryAnnualMax" : 175750, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Quantitative analysis", "Data visualization", "Automation", "Data analytics", "Reporting systems", "Partner insights", "Data storytelling", "Reporting systems design", "Trend analysis", "Cross-functional partnership", "Strategy influence", "Client success support", "Healthcare data", "Payer reporting", "Health system reporting", "Clinical outcomes", "Cost of care", "Network adequacy", "Utilization rates", "SQL", "Dbt", "Airflow", "Looker", "Tableau", "Hex" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a5c7874d8ee00a0614730", "title" : "Senior Analyst, Analytics and Insights (Programmatic)", "company" : "Zeta Global", "salary" : { "min" : 105000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Analyst, Analytics and Insights (Programmatic) in Virginia Beach, United States, adjusted for seniority and industry." }, "location" : "Remote - US", "locations" : [ "Remote - US" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified" ], "timestamp" : "2026-06-14T09:08:11.586", "fingerprint" : "b3bd118361e0fabd43f87db29b047cda1e884891e51214087dc33a2bfdc9aed0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/zetaglobal/jobs/5795011004", "externalId" : "5795011004", "structuredLocations" : [ { "city" : "Virginia Beach", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.8496579,-75.9760751" } ], "locationText" : "Virginia Beach, Virginia, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Python, R, Scala, Spark, SQL, Snowflake, BigQuery, Redshift, Databricks, dbt, Fivetran, Airflow, dbt Cloud, Delta Lake, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Marketing Cloud", "Programmatic analytics", "Customer acquisition", "Customer growth", "Customer retention", "Marketing strategy", "Data analysis", "Testing plans", "Model performance", "Measurement tools" ], "hardSkillsList" : [ "Statistical analysis", "Regression analysis", "Classification analysis", "Clustering analysis", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification analysis", "level" : "intermediate" }, { "name" : "Clustering analysis", "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, Analytics engineering, Quantitative analysis", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "coreResponsibilities" : "Provide actionable insights, Partner with Sales, Partner with Customer Success, Monitor optimization platform, Design Brand Optimization surveys, Introduce humanly designed segments, Deliver insight presentations, Lead marketing strategy discussions, Provide feedback to Product, Provide feedback to Engineering, Advance reliability of campaigns, Advance reach of campaigns, Advance effectiveness of campaigns, Communicate campaign strategy, Review campaign insights, Interpret insights, Understand client business challenges, Design analytic plans, Design testing plans, Derive actionable intelligence, Own campaign performance, Own reporting insights, Recommend optimization opportunities, Run additional channels, Update targeting strategy, Pitch new analyses, Review model performance, Design tests, Implement tests, Evaluate model performance, Evaluate feature performance, Determine measurement tools, Determine measurement products, Develop measurement tools, Develop measurement solutions, Consult with clients", "teamCollaboration" : "Internal teams; External customers; Product teams; Engineering teams; Sales teams; Customer Success teams", "domainKnowledge" : "Programmatic marketing; AI-powered marketing; Consumer signals; Omnichannel activation; Proprietary databases; Marketing personalization; Real-time bidding", "domainList" : [ "programmatic-marketing", "ai-powered-marketing", "consumer-signals", "omnichannel-activation", "proprietary-databases", "marketing-personalization", "real-time-bidding" ], "domainSpecificKnowledge" : [ "Programmatic marketing", "AI-powered marketing", "Consumer signals", "Omnichannel activation", "Proprietary databases", "Marketing personalization", "Real-time bidding" ], "toolProficiency" : [ "Zeta Marketing Platform", "Optimization platform" ], "communicationSkills" : "Story-telling interpretation; Insight presentations; Marketing strategy discussions; Client communication", "innovationCreativity" : "Develop innovative tools; Develop innovative solutions", "problemSolvingSkills" : "Analytical skills; Problem solving", "outcomesObjectives" : "Boost model exploration; Boost model learning; Advance reliability; Advance reach; Advance effectiveness; Help client business challenges; Help client business objectives", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "WHO WE ARE Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com. THE ROLE The Programmatic Analytics and Strategy team at Zeta Global provide actionable insights to both external customers and internal teams. For external customers, analysts partner with Sales and Customer Success teams to monitor our optimization platform, design Real-time Brand Optimization surveys, introduce humanly designed segments to boost model exploration and learning, and deliver actionable insight presentations and lead marketing strategy discussions with clients. For internal teams, they provide feedback to our Product and Engineering teams on automation and model features to advance the reliability, reach, and effectiveness of programmatic campaigns. Depending on your location, this role could be hybrid (NYC, Nashville, LA, San Francisco) or remote. Responsibilities: Client-facing lead responsible for communication campaign strategy, reviewing campaign-based insights and providing a story-telling interpretation to provided insights Work with clients to understand key business challenges and design analytic and testing plans to derive actionable intelligence. Own campaign performance and reporting insights while recommending opportunities for optimization (ex. running additional channels, updating current targeting strategy, pitching new analyses to help with client’s business challenges/objectives). Reviewing performance of models across revenue, performance, and pacing. Design and implement tests to evaluate model and feature performance. Working with internal teams and stakeholders to determine measurement tools and products are appropriate for addressing client business challenges. Develop innovative measurement tools and solutions Consult with clients regarding development nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression. We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/ ZETA IN THE NEWS! https://zetaglobal.com/press/?cat=press-releases #LI-MR1", "summaryDescription" : "Senior Analyst, Analytics and Insights (Programmatic) at Zeta Global. Skills: Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering, Quantitative analysis. Provide actionable insights. Partner with Sales", "postedDate" : "2026-06-11T18:48:53.693", "createdAt" : "2026-06-11T18:48:53.693", "lastUpdated" : "2026-06-14T09:08:11.586", "ingestTimestamp" : "2026-06-11T18:48:53.693", "mongoId" : "6a2a5c7874d8ee00a0614730", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 105000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Regression analysis", "Classification analysis", "Clustering analysis", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Marketing Cloud", "Programmatic analytics", "Customer acquisition", "Customer growth", "Customer retention", "Marketing strategy", "Data analysis", "Testing plans", "Model performance", "Measurement tools", "Programmatic marketing", "AI-powered marketing", "Consumer signals", "Omnichannel activation", "Proprietary databases", "Marketing personalization", "Real-time bidding", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified", "Zeta Marketing Platform", "Optimization platform" ], "skillCount" : 36, "jobCategory" : "other", "jobSubcategory" : "data-science-&-analytics", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "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" : "6a2ca3ba74d8ee00a09ad61c", "title" : "Director Consumer Insights", "company" : "Wizards of the Coast", "salary" : { "min" : 170200.0, "max" : 255300.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T02:55:37.773", "fingerprint" : "be7c3f0154ffcaf1dcfd8de811af6c39e8cfe4316c3105fc65f0dfd543895ba3", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hasbro/jobs/4249817009", "externalId" : "4249817009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : true, "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! Magic: The Gathering is the world's premier trading card game, with a global community of players, collectors, and fans spanning tabletop and digital experiences. We are seeking a Director of Consumer Insights to serve as a strategic leader and voice of the player within the Magic ecosystem. Embedded within the Magic Product Strategy team, this role is responsible for shaping product, play, and franchise decisions through a deep understanding of players, collectors, and the evolving trading card game landscape. The Director will lead a team of insights professionals and own the end-to-end insights agenda across Magic's portfolio, influencing everything from set design, product design, and packaging to marketing, organized play, and long-term franchise strategy. This role partners closely with Product Strategy, Business and Economics Strategy, Game and Creative Design, Packaging, Marketing, Events, and Franchise teams to ensure that the voice of the player is central to decision-making. The Director will also oversee critical insight systems such as Magic acquisition, play activity tracking, and brand health, while collaborating across the broader Insights organization to deliver best-in-class thinking. The ideal candidate brings a deep passion for Magic: The Gathering, a strong point of view on players and collectors, and the leadership's ability to translate insights into impactful business decisions at the executive level. Key Responsibilities: Strategic Leadership & Partnership Act as the primary insights partner to the Magic Product Strategy team, directly influencing product roadmap, set development, and portfolio strategy. Build strong relationships with senior stakeholders across Game Design, Creative Design, Business and Economics Strategy, Packaging, Marketing, Events/Organized Play, and Franchise to drive insight-led decision making. Serve as a trusted advisor to Magic and Wizards leadership, delivering clear, actionable recommendations to executive audiences. Player, Collector & Ecosystem Understanding Lead the development of a holistic understanding of Magic's audience, including player segmentation, collector behavior, and lifecycle dynamics across formats and play environments. Drive insights into acquisition, onboarding, engagement, and retention, identifying opportunities to grow and sustain the Magic player base. Provide strategic guidance on community health, organized play, and the Local Game Store ecosystem. Insights Systems & Thought Leadership Own and evolve Magic's core insight systems, including Brand Tracker, Play Activity studies, and acquisition measurement frameworks. Translate complex data and research into compelling narratives that inform product design, marketing strategy, and franchise direction. Lead insights for Universes Beyond and Magic IP initiatives, ensuring external partnerships and internal worldbuilding resonate with fans and attract new audiences. Research & Execution Excellence Oversee the design and execution of qualitative and quantitative research across product development, concept testing, packaging, messaging, and campaign effectiveness. Ensure high standards for quality, rigor, and actionability across all deliverables. Integrate primary research with secondary sources and internal analytics to create a comprehensive view of the business. Team Leadership & Development Lead, coach, and develop a high-performing team of ~5 insights managers and analysts, setting a clear vision for how the team drives impact across the Magic business. Foster an inclusive, collaborative, and growth-oriented team culture where diverse perspectives are valued and individuals are empowered to do their best work. Provide ongoing coaching, feedback, and career development to build both technical expertise and strategic influence within the team. Establish high standards for insight quality, storytelling, and stakeholder partnership, ensuring work is actionable and drives measurable business outcomes. Align team priorities and resources to the most critical business needs, enabling agility while maintaining focus on long-term strategic initiatives. Champion ways of working that encourage curiosity, innovation, and continuous improvement across the team. Cross-Functional Collaboration Partner with VIA Hasbro team and other Wizards insights teams to integrate behavioral data, advanced analytics, and broader category learnings into Magic workstreams. Contribute to the evolution of Insights capabilities, tools, and vendor ecosystems across Wizards and Hasbro. Budget & Operations Management Own and manage the Magic Consumer Insights budget, ensuring effective allocation of resources across strategic priorities. Drive financial discipline and decision-making to maximize the impact and efficiency of insights investments. Qualifications and Requirements: 10+ years of experience in Consumer Insights, Market Research, or a related field across gaming, entertainment, or consumer products. Passion for Magic: The Gathering and familiarity with its players, play formats, and ecosystem. Proven ability to translate insights into business impact, influencing product, brand, or customer experience decisions. Experience leading and developing teams, with a focus on coaching and inclusive leadership. Excellent communication and storytelling skills, with the ability to influence senior stakeholders. 5+ years of conducting qualitative, quantitative, and mixed-methods research. Experience managing budgets and prioritizing investments effectively. We encourage candidates from all backgrounds to apply. We value diverse perspectives and recognize that experience can take many forms. Education BA/BS or equivalent experience required, preferably in social sciences, marketing, or a related field. Advanced degree a plus. We are an Equal Opportunity Employer Wizards of the Coast 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 $170,200—$255,300 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" : "Director Consumer Insights at Wizards of the Coast", "postedDate" : "2026-06-14T20:07:37.957", "createdAt" : "2026-06-14T20:07:37.957", "lastUpdated" : "2026-06-16T02:55:37.773", "ingestTimestamp" : "2026-06-14T20:07:37.957", "mongoId" : "6a2ca3ba74d8ee00a09ad61c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170200, "salaryAnnualMax" : 255300, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a0f529b58b93c861e052fca", "title" : "Sr. Manager, Customer Performance & Insights", "company" : "Hyundai Capital America", "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "
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3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "timestamp" : "2026-06-15T13:57:07.233", "fingerprint" : "71c876584c8bc802443fa6a9717e593495b85bf227c1884721d5d702f910419a", "source" : "taleo", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=116564", "externalId" : "116564", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid" } ], "locationText" : "Irvine, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 8, "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Customer experience, financing, leasing, insurance solutions." ], "hardSkillsList" : [ "SQL", "Python" ], "softSkillsList" : [ "leadership" ], "hardSkills" : [ { "name" : "SQL", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" } ], "softSkills" : [ { "name" : "leadership" } ], "majorSkills" : "customer insights, CX analytics, predictive analytics, stakeholder management, leadership", "majorSkillsList" : [ "customer insights, CX analytics, predictive analytics, stakeholder management, leadership" ], "coreResponsibilities" : "Responsible for delivering a comprehensive, real-time view of customer experience performance across the enterprise. Builds and oversees the full ecosystem of customer feedback to uncover actionable insights, identify experience gaps, and guide business stakeholders toward data-driven, customer-focused improvements.", "teamCollaboration" : "Facilitate cross-functional alignment and embed customer-driven decision-making.", "toolProficiency" : [ "Glassbox, Microsoft Office" ], "communicationSkills" : "executive-level communication; storytelling; executive presentation", "problemSolvingSkills" : "analytical; problem-solving", "specialRequirements" : "Work model is onsite 4 days a week. Compliance with all applicable federal, state, and local equal employment opportunity laws. California Privacy Notice provided.", "outcomesObjectives" : "Identify customer pain points and journey friction by connecting insights across touchpoints, behavioral data, and feedback signals. Develop dashboards, scorecards, and executive reporting that shift from reactive reporting to proactive, predictive CX management. Establish proactive monitoring and predictive analytics to detect emerging CX risks. Design and manage closed-loop feedback systems to ensure resolution and measurable improvements.", "qualificationsBasic" : "8+ years in customer insights, CX analytics, research, VoC, or CX strategy. 3+ years of leadership experience. Predictive analytics experience related to customer behavior or journey risk. Experience managing qualitative, quantitative, and behavioral research programs. Proven ability to influence senior stakeholders and lead cross-functional initiatives. Executive-level communication experience. Bachelor’s degree in relevant field required.", "qualificationsPreferred" : "Advanced degree preferred. Familiarity with CX tools (e.g., Glassbox).", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Job Title: Sr. Manager, Customer Performance & Insights Hyundai Capital America (HCA) helps people move forward. Through Hyundai Motor Finance, Genesis Finance, and Kia Finance, we deliver innovative financing, leasing, and insurance solutions to more than 3 million customers and businesses nationwide. We’re a company driven by growth, innovation, and people. At HCA, you’ll find opportunities to build new skills, expand your career, and make a real impact—while working in a diverse, inclusive, and values driven environment. We’re proud to support our communities through volunteerism, philanthropy, and engaged Employee Resource Groups. If you’re looking for a fast paced, collaborative workplace where your ideas matter, join us as we lead the future of financing freedom of movement. Apply today. WORK MODEL #LI-OnSite (4 days a week) WHAT YOU WILL DO The Sr. Manager, Customer Performance & Insights is a strategic analytics leader responsible for delivering a comprehensive, real-time view of customer experience performance across the enterprise. This role builds and oversees the full ecosystem of customer feedback—both stated and unstated—to uncover actionable insights, identify experience gaps, and guide business stakeholders toward data-driven, customer-focused improvements. HOW YOU WILL MAKE AN IMPACT Own and evolve the enterprise CX Health measurement framework, integrating feedback across channels to deliver a holistic view of customer experience Identify customer pain points and journey friction by connecting insights across touchpoints, behavioral data, and feedback signals Develop dashboards, scorecards, and executive reporting that shift from reactive reporting to proactive, predictive CX management Lead customer research and analytics programs, translating findings into actionable, prioritized recommendations Integrate insights from social media, call centers, complaints, operational data, and tools like Glassbox Establish proactive monitoring and predictive analytics to detect emerging CX risks Facilitate cross-functional alignment and embed customer-driven decision-making Design and manage closed-loop feedback systems to ensure resolution and measurable improvements Influence senior stakeholders through storytelling and data-backed recommendations Lead, mentor, and develop a high-performing team WHAT YOU WILL BRING TO THE ROLE Experience: 8+ years in customer insights, CX analytics, research, VoC, or CX strategy 3+ years of leadership experience Predictive analytics experience related to customer behavior or journey risk Experience managing qualitative, quantitative, and behavioral research programs Proven ability to influence senior stakeholders and lead cross-functional initiatives Executive-level communication experience Education: Bachelor’s degree in relevant field required Advanced degree preferred Skills & Knowledge: Expertise in customer insights, VoC, and CX measurement Strong analytical and problem-solving skills Experience with SQL, Python, or predictive modeling tools Ability to translate data into actionable strategies Familiarity with CX tools (e.g., Glassbox) Strong storytelling and executive presentation skills Stakeholder management in matrixed environments Advanced Excel and Microsoft Office skills Strong communication and leadership abilities WE TAKE CARE OF OUR PEOPLE Along with competitive pay, as an employee of HCA, you are eligible for: · Medical, dental, and vision plans with no-cost and low-cost options · Annual employer HSA contribution · 401(k) matching and immediate vesting · Vehicle purchase and lease discounts, plus monthly vehicle allowances by job level: o Associate / Sr. Associate: $350 o Manager / Sr. Manager: $600 o Director: $800 o Executive Director: $900 o VP or Above: $1,000 · 100% employer-paid life and disability insurance · No-cost health and wellbeing programs, including a gym benefit · Six weeks of paid parental leave · Paid Volunteer Time Off, plus a company donation to a charity of your choice WHAT HAPPENS NEXT Express your interest by submitting an application. Our recruiting team will review your application to assess alignment with the role. Visit our careers page to learn more about our culture. OTHER DETAILS Work Environment & Physical Requirements: Extended sitting, standing, and screen time in a hybrid work environment (office and remote). Our Company is an equal opportunity employer committed to fostering a diverse, inclusive, and respectful workplace—because we believe diversity builds stronger teams. We comply with all applicable federal, state, and local equal employment opportunity laws and do not discriminate on the basis of race, religion or creed, color, national origin, ancestry, caste, citizenship, sex or gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, medical condition, genetic information, marital status, family care or medical leave status, military or veteran status, political affiliation, or any other characteristic protected by law. Information provided during the application process is requested in good faith and will be used solely in accordance with applicable employment laws. 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" : "Sr. Manager, Customer Performance & Insights at Hyundai Capital America. Skills: customer insights, CX analytics, predictive analytics, stakeholder management, leadership. Responsible for delivering a comprehensive, real-time view of customer experience performance across the enterprise. 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Business stakeholders; Technical teams", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "communicationSkills" : "Stakeholder communication; Presentation skills", "documentationSkills" : "Technical documentation", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "Bachelor's degree in a quantitative field, 5+ years of experience in data analytics or related field, Proficiency in SQL, Experience with data visualization tools", "qualificationsPreferred" : "Master's degree or PhD in a quantitative field, Experience with cloud data platforms (e.g., Snowflake, BigQuery, Redshift), Experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch), Experience with data engineering tools (e.g., dbt, Airflow), Relevant certifications (e.g., GCP Professional Data Engineer, AWS Data Analytics)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Salary Range: Salary commensurate with experience and qualifications About SMU SMU’s more than 12,000 diverse, high-achieving students come from all 50 states and over 80 countries to take advantage of the University’s small classes, meaningful research opportunities, leadership development, community service, international study and innovative programs. SMU serves approximately 7,000 undergraduates and 5,000 graduate students through eight degree-granting schools: Dedman College of Humanities and Sciences , Cox School of Business , Lyle School of Engineering , Meadows School of the Arts , Simmons School of Education and Human Development , Dedman School of Law , Perkins School of Theology and Moody School of Graduate and Advanced Studies . SMU is data driven, and its powerful supercomputing ecosystem – paired with entrepreneurial drive – creates an unrivaled environment for the University to deliver research excellence. Now in its second century of achievement, SMU is recognized for the ways it supports students, faculty and alumni as they become ethical, enterprising leaders in their professions and communities. SMU’s relationship with Dallas – the dynamic center of one of the nation’s fastest-growing regions – offers unique learning, research, social and career opportunities that provide a launch pad for global impact. SMU is nonsectarian in its teaching and committed to academic freedom and open inquiry. About the Department: Development and External Affairs (DEA) supports SMU by securing funding for University priorities; by promoting meaningful involvement in the life and work of the University; by heightening international, national, state and local awareness of SMU; and by supporting the enrollment of a diverse and able student body. DEA comprises the offices of Office of the Vice President, Annual Giving and Alumni Relations, Development Services, Program Services and Donor Relations, Marketing and Communications, Principal and Major Gifts, and School and Project Development. SMU continues to leverage the benefits from the largest fund-raising campaign in its history to achieve dramatic increases in academic quality and impact. About the Position: This role is an on-campus, in-person position. The Director of Reporting and Analytics leads the strategic vision and execution of the reporting and analytics functions in concert with the Vice President of Development Services, directly supporting the objectives of the Development and External Affairs (DEA) division. The Director manages a team of professionals to develop, convert, and maintain the essential reporting suite while ensuring data integrity, consistency, and optimal architecture. By serving as a thought partner for stakeholders, the Director is critical in translating business goals into actionable insights and robust data services, ultimately maximizing the return on investment in data tools and empowering data-driven decision-making across DEA and SMU. Essential Functions: Leads, mentors, and develops the team of three analytics professionals. This involves setting clear performance expectations, prioritizing and assigning workloads, and fostering a collaborative environment. This leader's guidance is key to guiding the team through the CRM conversion and empowering them to become experts in the new toolset. Owns the technical vision and strategic roadmap for the reporting team. This includes evaluating and guiding the use of the entire reporting suite (Salesforce, CRMA, Tableau, and Apsona) to ensure SMU is maximizing its investment. Creates and enforces standards, processes, and structured governance for query tools like Workbench to ensure consistency and accuracy. Serves as the primary analytics partner and consultant for key stakeholders for Development and External Affairs (DEA) and campus partners. Proactively meets with partners to understand their business goals, translating those goals into technical specifications, and managing the intake process for all new data, report and dashboard requests. Leads the creation of SMU's essential reports during and following the Salesforce conversion. Manages the entire development lifecycle from scoping and design to build, testing, and deployment ensuring that new data requests and reports are accurate, efficient, and provide enhanced insights. Ensures colleagues understand business decisions and logic behind reporting models. Oversees the team's operational output, ensuring the timely and accurate fulfillment of ad-hoc data requests, such as mailing lists and metrics. A critical component of this function is designing, implementing, and enforcing a robust quality assurance (QA) process for all data outputs to guarantee data integrity and build stakeholder trust. Partners closely with the Advancement Applications and Technology Services team to inform and advise on the advancement data architecture, especially within Salesforce. This includes providing an analytics perspective on data flows, object relationships, and the impact of integrations with other third-party solutions to ensure data is structured for optimal reporting and analysis. Other duties as assigned. Occasional travel for professional conferences, speaking engagements, and/or site visits is required. Education and Experience: Bachelor’s degree is required. A Master's degree is preferred. Process improvement and project management certifications are preferred. A minimum of seven years of work experience is required. Experience managing multiple direct reports in a fast-paced, deadline oriented environment is also required. Experience in nonprofit development is desired. Higher education development experience is strongly preferred. Knowledge, Skills and Abilities: Candidate must demonstrate strong interpersonal and verbal communication skills, with the ability to communicate broadly across the University and develop and maintain effective relationships with a wide range of constituencies. Must also demonstrate strong written communication skills. Candidate must possess strong problem-solving skills with the ability to identify and analyze problems, as well as devise solutions. Must also have strong organizational, planning, and time management skills. Candidate must have strong public speaking and presentation skills necessary to drive adoption of data-driven practices and deliver actionable insights from analytics projects. Candidate must demonstrate knowledge of data governance standards and relevant regulation, particularly in regard to personally identifiable information (PII). Candidate must have substantial experience in the management of large scale non-profit CRM software, data analysis tools, and automated business intelligence tools. Physical and Environmental Demands: Sit for long periods of time Deadline to Apply: The position is open until filled. Priority consideration may be given to submissions received by January 9, 2026 EEO Statement SMU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression. Benefits: SMU offers staff a broad, competitive array of health and related benefit s. In addition to traditional benefits such as health, dental, and vision plans, SMU offers a wide range of wellness programs to help attract, support, and retain our employees whose work continues to make SMU an outstanding education and research institution. SMU is committed to providing an array of retirement programs that benefit and protect you and your family throughout your working years at SMU and, if you meet SMU's retirement eligibility criteria, during your retirement years after you leave SMU. The value of learning at SMU isn't just about preparing our students for the future. Employees have access to a wide variety of professional and personal development opportunities , including tuition benefits . USA-TX-Dallas", "summaryDescription" : "Director of Reporting and Analytics at SMU. Skills: Data Analytics, Business Intelligence, Machine Learning, Data Engineering. Develop and maintain reporting dashboards. 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Illumia was built on the collective expertise of two legacy cultures, and brings together people, technology, and insight to pioneer the art of t", "summaryDescription" : "Financial Insights & Analytics Manager at Transact Campus", "createdAt" : "2026-06-14T00:17:38.057", "lastUpdated" : "2026-06-15T03:29:37.280", "ingestTimestamp" : "2026-06-14T00:17:38.057", "mongoId" : "6a1737f358b93c861ed1d4a7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2aa4cf74d8ee00a06b2fab", "title" : "Senior Quality Engineer, Performance and Analytics", "company" : "Ridgeline", "industry" : "Investment Management", "salary" : { "min" : 124500.0, "max" : 156000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States", "Reno", "Nevada", "United States", "San Ramon", "California", "United States" ], "timestamp" : "2026-06-13T21:11:55.500", "fingerprint" : "bef362bbbedad36b96de4af40cc344f422a16e583207f30bbc393e4be86121bd", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/ridgeline/jobs/7763603003?gh_jid=7763603003", "externalId" : "7763603003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "OLAP, Columnar technologies, AWS, Azure, Google Cloud, SQL", "professionalSkills" : [ "Performance analytics", "Attribution analysis", "Benchmark analysis", "Financial data integrity", "Business logic", "Risk mitigation" ], "hardSkillsList" : [ "Performance testing", "Attribution testing", "Benchmark testing", "Reporting testing", "Automated testing", "API testing", "Database testing", "Cloud platform testing" ], "softSkillsList" : [ "Analytical thinking", "Complex problem-solving", "Transparency", "Learning", "Teaching" ], "hardSkills" : [ { "name" : "Performance testing", "level" : "intermediate" }, { "name" : "Attribution testing", "level" : "intermediate" }, { "name" : "Benchmark testing", "level" : "intermediate" }, { "name" : "Reporting testing", "level" : "intermediate" }, { "name" : "Automated testing", "level" : "intermediate" }, { "name" : "API testing", "level" : "intermediate" }, { "name" : "Database testing", "level" : "intermediate" }, { "name" : "Cloud platform testing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical thinking" }, { "name" : "Complex problem-solving" }, { "name" : "Transparency" }, { "name" : "Learning" }, { "name" : "Teaching" } ], "majorSkills" : "Performance analytics, Attribution analysis, Automated testing, Financial data integrity", "majorSkillsList" : [ "Performance analytics", "Attribution analysis", "Automated testing", "Financial data integrity" ], "coreResponsibilities" : "Validate performance and analytics workflows, Validate portfolio performance, Validate attribution, Validate benchmark, Validate reporting experiences, Translate business requirements, Develop test strategies, Execute test strategies, Conduct exploratory testing, Create automated testing solutions, Improve scalability, Improve reliability, Improve release confidence, Improve quality practices, Improve testability, Improve risk mitigation, Analyze customer-reported issues, Analyze production defects, Identify root causes, Drive long-term improvements, Own problems, Seek solutions, Communicate clearly", "teamCollaboration" : "Partner with product managers; 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Identify workflow gaps; Identify complex edge cases; Complex problem-solving", "specialRequirements" : "No employer sponsorship", "outcomesObjectives" : "Ensure accuracy; Ensure reliability; Ensure client confidence; Drive improvements", "qualificationsBasic" : "5+ years Quality Engineering, 5+ years Software Testing, Experience validating complex SaaS applications, Experience validating business-critical workflows, Experience validating applications on cloud native platforms, Experience collaborating with engineering stakeholders, Experience collaborating with product stakeholders, Experience collaborating with business stakeholders, Experience with APIs, Experience with databases, Experience with automated testing frameworks, Work authorized in United States", "qualificationsPreferred" : "Buy-side technology experience, Experience validating ETL pipelines, Experience validating large-scale financial data workflows, Experience with SQL, Experience with analytical databases, Experience testing data-intensive analytics platforms, Experience testing reporting platforms", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "The Performance & Analytics team works on calculating, reporting, and effectively presenting performance and attribution metrics across investments leveraging modern OLAP and Columnar technologies. This includes analysis of returns, benchmark comparisons, and the factors contributing to performance. We are in search of a passionate Quality Engineer to play a critical role in validating and evolving our next generation performance & analytics platform, helping ensure accuracy, reliability, and confidence across sophisticated investment management workflows. Our team is committed to creating a lasting impact on the investment management industry, leveraging AI and leading development practices to bring transformative change. Our team of engineers are building with cutting-edge technologies like Claude Code and Cursor in a fast-moving, creative work environment. At Ridgeline, how we work matters as much as what we build. Ridgeliners act like owners, choose growth over comfort, and communicate with transparency. We assume positive intent, bias toward action, and bring solutions not just problems. We celebrate wins, learn from setbacks, and thrive in a resilient, collaborative, high-performing culture. If this excites you, we’d love to meet you! You must be work authorized in the United States without the need for employer sponsorship. The impact you will have: Validate complex performance and analytics workflows across portfolio performance, attribution, benchmark, and reporting experiences Partner closely with product managers, engineers, and domain experts to ensure business requirements are translated into high-quality client experiences Be involved in the entire software development lifecycle, from requirements and design reviews through implementation and production validation Develop and execute thoughtful test strategies focused on workflow accuracy, financial data integrity, and end-user confidence Conduct exploratory testing to uncover edge cases, workflow inconsistencies, and business logic gaps across integrated financial systems Participate in the creation and construction of automated testing solutions that improve scalability, reliability, and release confidence Collaborate with engineering teams to improve quality practices, testability, and risk mitigation throughout the development lifecycle Analyze customer-reported issues and production defects to identify root causes and drive long-term improvements Think creatively, own problems, seek solutions, and communicate clearly along the way Contribute to a collaborative environment deeply rooted in learning, teaching, and transparency What we look for: 5+ years in a Quality Engineering, Software Testing, or related position validating complex SaaS applications Deep understanding of performance analytics methodologies and practical experience validating TWR, Brinson Attribution, benchmark analysis, and Profit & Loss calculations within investment management platforms Experience validating and triaging business-critical workflows where accuracy, transparency, and data integrity are essential Familiarity working with APIs, databases, and automated testing frameworks Experience validating applications built on cloud native platforms such as AWS, Azure, or Google Cloud Strong analytical thinking with an aptitude for identifying workflow gaps and complex edge cases Experience collaborating closely with engineering, product, and business stakeholders throughout the software development lifecycle Willingness to learn about new technologies while simultaneously developing expertise in a business domain/problem space Understand the value of automated tests at all levels Ability to focus on short-term deliverables while maintaining a big-picture long term perspective Experience with GitHub Copilot, Claude Code, Cursor, or ChatGPT An aptitude for complex problem-solving Ability to communicate with colleagues at all levels Serious interest in having fun at work Bonus: Buy-side technology experience Experience validating ETL pipelines or large-scale financial data workflows Experience with SQL and analytical databases such as OLAP or Columnar systems Experience testing highly data-intensive analytics or reporting platforms About Ridgeline Ridgeline is the first front-to-back system of record for investment managers. Founded by visionary entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday), the company was created to modernize an industry held back by outdated, disconnected technology. Powered by a single, real-time data set and embedded AI, Ridgeline helps firms automate complexity, accelerate collaboration, and deliver tailored client experiences at scale, without added headcount or risk. Ridgeline is headquartered in Lake Tahoe, with offices in New York, Reno, and the Bay Area, and is recognized by Fast Company as a “Best Workplace for Innovators,” by Frost & Sullivan as a “Technology Innovation Leader,” and by The Software Report as a “Top 100 Software Company.” Ridgeline is proud to be a community-minded, discrimination-free equal opportunity workplace. Ridgeline processes the information you submit in connection with your application in accordance with the Ridgeline Applicant Privacy Statement. Please review the Ridgeline Applicant Privacy Statement in full to understand our privacy practices and contact us with any questions. ***[CHOSE ONE SALARY OPTION, delete the rest] Compensation and Benefits [For New York and California Based Only] The typical starting salary range for new hires in this role is listed below. In select locations (including, the San Francisco Bay Area, CA, and the New York City Metro Area), an alternate range may apply as specified below. The typical starting salary range for this role is: $113,500-$141,500. The typical starting salary range for this role in the select locations listed above is: $124,500-$156,000. Final compensation amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amount listed above. As an employee at Ridgeline, you’ll have many opportunities for advancement in your career and can make a true impact on the product. In addition to the base salary, Ridgeline employees can participate in our Company Stock Plan subject to the applicable Stock Option Agreement. We also offer rich benefits that reflect the kind of organization we want to be: one in which our employees feel valued and are inspired to bring their best selves to work. These include unlimited vacation, educational and wellness reimbursements, and $0 cost employee insurance plans. Please check out our Careers page for a more comprehensive overview of our perks and benefits. #LI-Hybrid", "summaryDescription" : "Senior Quality Engineer, Performance and Analytics at Ridgeline. Skills: Performance analytics, Attribution analysis, Automated testing, Financial data integrity. Validate performance and analytics workflows. Validate portfolio performance", "postedDate" : "2026-06-11T21:20:50.161", "createdAt" : "2026-06-11T21:20:50.161", "lastUpdated" : "2026-06-13T21:11:55.500", "ingestTimestamp" : "2026-06-11T21:20:50.161", "mongoId" : "6a2aa4cf74d8ee00a06b2fab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 124500, "salaryAnnualMax" : 156000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Performance testing", "Attribution testing", "Benchmark testing", "Reporting testing", "Automated testing", "API testing", "Database testing", "Cloud platform testing", "Analytical thinking", "Complex problem-solving", "Transparency", "Learning", "Teaching", "Performance analytics", "Attribution analysis", "Financial data integrity", "Benchmark analysis", "Business logic", "Risk mitigation", "Software development lifecycle", "Investment management", "Portfolio performance", "Attribution methodologies", "Benchmark comparisons", "Profit and Loss calculations", "Financial data", "OLAP", "Columnar databases", "GitHub Copilot", "Claude Code", "Cursor", "ChatGPT" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "quality-engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Investment Management" }, { "id" : "6a2c7f9a74d8ee00a0955d39", "title" : "Specialty Sales Director", "company" : "Crunchyroll, LLC", "industry" : "Media", "salary" : { "min" : 220000.0, "max" : 330000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Specialty Sales in the Media industry in Dallas, adjusted for company size and seniority." }, "location" : "Dallas, Texas, United States", "locations" : [ "Dallas", "Texas", "United States" ], "timestamp" : "2026-06-16T02:06:24.327", "fingerprint" : "bbaddbccdce70d3245e61f724bdc7cd76129b83ba75a18b50df78ac0af4afc87", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/crunchyroll/jobs/7990119?gh_jid=7990119", "externalId" : "7990119", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "experienceLevel" : "Director", "remoteFriendly" : false, "rawDescription" : "About Crunchyroll Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it’s powered by the anime content we all love. Join our team, and help us shape the future of anime! About the role As the Specialty Sales Director, you will oversee global commercial performance for specialty sales channels across conventions, fan events, and ecommerce marketplaces. You will turn Global Commerce strategies into clear revenue plans, targets, and operating rhythms. You will lead go-to-market execution for event and marketplace merchandising worldwide. You will partner with Events, Product Development, DTC/eCommerce, Marketing, Operations, and Sony partners to deliver best-in-class fan experiences and commercial results. We will measure success in this role by revenue and margin growth, expansion of our partner ecosystem, sell-through performance at conventions and on marketplaces, and the health and effectiveness of specialty sales channels. Core Areas of Responsibility Own global specialty commercial performance, including conventions, live events, and ecommerce marketplace channels. You will ensure meeting annual and long-range revenue and margin targets, and you will align plans with Crunchyroll's broader strategic and financial goals. Lead global go-to-market execution for convention retail, pop-ups, experiential activations, and marketplace merchandising. You will turn strategy and production decisions into concrete assortments, account plans, pipelines, and promotional campaigns by region and event. Develop and refine merchandise and assortment strategies for events and marketplaces, using fan, retail, and performance insights to inform pricing, exclusives, bundles, and capsule drops that drive demand, sell-through, and brand elevation. Lead commercial relationships with fulfillment partners, event organizers, venue operators, convention partners, and digital marketplace platforms, including joint business planning, deal structures, and annual negotiation cycles to maximize reach, visibility, and profitability. Partner with Product Development and Creative to plan and prioritize global convention and marketplace product needs, including exclusives, limited editions, and capsule collections. You will ensure feasibility on timelines, cost, and approvals in collaboration with Operations and Approvals. Build and oversee sales forecasts, performance reporting, and KPIs by event, territory, and partner, partnering with Business Intelligence and Finance on revenue projections, post-mortems, and continuous improvement across non-traditional channels. Develop and implement sell-through and marketing strategies for conventions and marketplaces, including retail marketing, on-site experiences, digital campaigns, and promotional windows that support both Global Commerce and broader Crunchyroll brand objectives. Ensure operational excellence and compliance by partnering with Operations, Legal, Business Affairs, and Approvals to meet licensor guidelines, event and marketplace policies, and reporting obligations across all non-traditional activities. In the role of Specialty Sales Director, you will report to the Senior Director, Sales. We are considering applicants for the location of Dallas, TX. About You We get excited about candidates like you because... 12+ years of commercial sales experience in consumer products, retail, live events, or ecommerce Experience overseeing revenue, margin, and multi-channel sales strategies across physical and digital channels. Experience in event merchandising and ecommerce/marketplace dynamics, including assortment planning, pricing, and promotional levers across regions or territories. Experience building or scaling specialty or experiential channels (conventions, pop-ups, festivals, marketplaces) and achieving revenue and growth targets. Experience in commercial deal-making and financial analysis, including structuring and negotiating complex promotional, revenue-share, or partnership agreements, using forecasts and performance data to guide decisions. Experience leading distributed teams and operating within large, matrixed organizations, aligning studio, licensor, and regional partners around shared commercial goals and execution plans. Experience working cross-departmentally to deliver complex sales executional projects. Familiarity with pop culture and the entertainment business. About the Team You will be part of the Global Sales & Distribution team within the Global Commerce department. We turn Crunchyroll's content and IP into revenue across Collectibles, Consumer Products, Content Sales, and Specialty channels worldwide. You will lead the specialty sales portfolio, working with Regional Sales Leads, Events, Product Development, DTC/eCommerce, Creative, Operations, Finance, and our Sony partners. Why you will love working at Crunchyroll In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks: Receive a great compensation package including salary plus performance bonus earning potential, paid annually. Flexible time off policies allowing you to take the time you need to be your whole self. Generous medical, dental, vision, STD, LTD, and life insurance Health Saving Account HSA program Health care and dependent care FSA 401(k) plan, with employer match Employer paid commuter benefit Support program for new parents Pet insurance and some of our offices are pet friendly! #LifeAtCrunchyroll #LI-Hybrid About our Values We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value Courage. We believe that when we overcome fear, we enable our best selves. Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding. Kaizen. We have a growth mindset committed to constant forward progress. Service. We serve our community with humility, enabling joy and belonging for others. Our commitment to diversity and inclusion Our mission of helping people belong reflects our commitment to diversity & inclusion. It's just the way we do business. We are an equal opportunity employer and value diversity at Crunchyroll. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Crunchyroll, LLC is an independently operated joint venture between US-based Sony Pictures Entertainment, and Japan's Aniplex, a subsidiary of Sony Music Entertainment (Japan) Inc., both subsidiaries of Tokyo-based Sony Group Corporation. Questions about Crunchyroll’s hiring process? Please check out our Hiring FAQs: https://help.crunchyroll.com/hc/en-us/articles/360040471712-Crunchyroll-Hiring-FAQs Please refer to our Candidate Privacy Policy for more information about how we process your personal information, and your data protection rights: https://tbcdn.talentbrew.com/company/22978/v1_0/docs/spe-jobs-privacy-policy-update-for-crpa-dec-21-22.pdf Please beware of recent scams to online job seekers. Those applying to our job openings will only be contacted directly from @crunchyroll.com email account.", "summaryDescription" : "Specialty Sales Director at Crunchyroll, LLC", "postedDate" : "2026-06-14T19:03:20.608", "createdAt" : "2026-06-14T19:03:20.608", "lastUpdated" : "2026-06-16T02:06:24.327", "ingestTimestamp" : "2026-06-14T19:03:20.608", "mongoId" : "6a2c7f9a74d8ee00a0955d39", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 330000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5e5374d8ee00a08e315e", "title" : "Senior Director, Economic Insights", "company" : "Life360", "industry" : "Technology", "salary" : { "min" : 245000.0, "max" : 375000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Director in the Technology industry in the United States, adjusted for seniority and remote work." }, "location" : "Remote, USA", "locations" : [ "Remote", "USA" ], "timestamp" : "2026-06-15T00:48:55.507", "fingerprint" : "cb9026dfcd60e2db14f3be6190d53b7201379b6ce7461d9b819c36bb662fe4de", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/life360/jobs/8589091002", "externalId" : "8589091002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceLevel" : "Director", "technicalSkills" : "SQL, AI", "professionalSkills" : [ "Economic research", "Data storytelling", "Consumer behavior", "Location data", "Retail analytics", "Mobility analytics", "Panel bias", "Dwell time definitions", "Place matching" ], "hardSkillsList" : [ "Seasonal adjustment", "Time series analysis", "Geographic aggregations" ], "softSkillsList" : [ "Curious mindset", "Leadership" ], "hardSkills" : [ { "name" : "Seasonal adjustment", "level" : "intermediate" }, { "name" : "Time series analysis", "level" : "intermediate" }, { "name" : "Geographic aggregations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious mindset" }, { "name" : "Leadership" } ], "majorSkills" : "Economic insights, Data PR, AI native analytics", "majorSkillsList" : [ "Economic insights", "Data PR", "AI native analytics" ], "coreResponsibilities" : "Create thought-leading economic research and analysis, Leverage Life360 data and external datasets, Surface new insights about families and the business, Write benchmark reports, Publish insights, Serve as Life360's public spokesperson, Engage media, Speak at industry events, Build repeatable seasonal adjustment frameworks, Caveat methodology when data history is less than, Develop a pipeline of data PR narratives, Identify where Life360's first-party data creates a differentiated, Collaborate with Product, Engineering, Ads and the Data, Align on what data infrastructure investments unlock the, Build relationships with internal and external subject-matter experts, Surface exclusive insights and anecdotes, Maintain newsroom-grade standards of accuracy, ethics, and sourcing", "teamCollaboration" : "Data Science team; Analytics team; Comms team; Product team; Engineering team; Ads team; Internal subject-matter experts; External subject-matter experts", "domainKnowledge" : "Consumer behavior; Location data; Retail analytics; Mobility analytics; Family economic research; Panel bias; Dwell time definitions; Place matching challenges", "domainList" : [ "consumer-behavior", "location-data", "retail-analytics", "mobility-analytics", "family-economic-research", "panel-bias", "dwell-time-definitions", "place-matching-challenges" ], "domainSpecificKnowledge" : [ "Consumer behavior", "Location data", "Retail analytics", "Mobility analytics", "Family economic research", "Panel bias", "Dwell time definitions", "Place matching challenges" ], "toolProficiency" : [ "AI tools" ], "communicationSkills" : "Public speaking; Written communication; Verbal communication", "continuousLearning" : "Learning & Development programs", "innovationCreativity" : "AI Native", "problemSolvingSkills" : "Analytical skills", "outcomesObjectives" : "Position Life360 as the #1 brand; Foster awareness; Build reputation; Increase engagement", "qualificationsBasic" : "Masters degree in Economics, Statistics, Demography and Quantitative Social Science, or related quantitative field, 10+ years of applied economics work, Demonstrated experience publishing data-driven narratives for non-academic audiences, Working knowledge of seasonal adjustment techniques, Comfortable being the quoted expert, Fluency to write and understand SQL, Know how to optimize SQL performance", "qualificationsPreferred" : "PhD preferred, Experience with driving behavior datasets, Prior experience setting up a data storytelling function from scratch", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Life360 Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most, with a range of services including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 97.8 million monthly active users (MAU) as of March 31, 2026, across more than 180 countries. Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends that basically are family). For more information, please visit life360.com. Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above. We are AI Native We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process. Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy. About the Job Life360 sits on one of the most unique behavioral datasets in consumer tech — real-time location, family dynamics, driving patterns, etc., but translating that into earned media and commercial insight requires someone who understands both the economic signals and the data infrastructure limitations. The Sr. Director, Economic Insights is the person who construes Life360's first-party data and business metrics into narratives that resonate primarily with external audiences. This role will report to the VP of Communications to focus on delivering data-led stories. You will also partner closely with the Data Science and Analytics team. This isn't a cookie-cutter role. We’re looking for a left and right brain person who can identify and tell data-led stories publicly. Together with the communication team, we will position Life360 as the #1 brand for making everyday family life better, fostering awareness, building reputation, and increasing engagement among families and stakeholders (including employees) worldwide. Your curious mindset will uncover insights and trends from millions of data points. You will turn these insights into narratives that shape how the world understands families. Life360's data storytelling capability is early-stage. You'll be working with a time series that's shorter than ideal for seasonal analysis, and you'll also be navigating compute constraints for geographic aggregations. The upside is that the underlying dataset is genuinely differentiated, and you'll be developing the methodology rather than inheriting someone else' s. The US-based salary range for this position is $215,000 - $315,000 We take into consideration an individual's background and experience in determining final salary - therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity. What You’ll Do Create thought-leading economic research and analysis leveraging Life360 data and external datasets to surface new insights about families and the business Write benchmark reports and publish insights Serve as Life360's public spokesperson on family behavior and consumer mobility trends, engaging media and speaking at industry events in partnership with Comms Build repeatable seasonal adjustment frameworks for retail/food service visit trends; own caveating methodology when data history is less than 3 years Develop a pipeline of data PR narratives (brand-specific and category-level) for economic/consumer/financial press Identify where Life360's first-party data creates a differentiated narrative angle Collaborate and work with Product, Engineering, Ads and the Data & Analytics team to align on what data infrastructure investments unlock the best storytelling ROI. Build relationships with internal and external subject‑matter experts, data scientists, and customers to surface exclusive insights and anecdotes Maintain newsroom‑grade standards of accuracy, ethics, and sourcing What We’re Looking For Masters degree in Economics, Statistics, Demography and Quantitative Social Science, or related quantitative field (PhD preferred but not required if experience is strong) 10+ years of applied economics work — ideally in consumer behavior, location data, or retail/mobility analytics Demonstrated experience publishing data-driven narratives for non-academic audiences (media, investors, policy makers) Being scrappy. Working knowledge of seasonal adjustment techniques (X-13, STL, or equivalent) and an honest awareness of when you can't seasonally adjust cleanly Operate with incomplete or short time series — knows how to caveat, not just how to model Use AI to multiply your impact. You'll use coding agents and automated analysis daily, and help shape what our AI-native analytics stack looks like, contributing to how we move from reactive to proactive to autonomous. Comfortable being the quoted expert — whether that's a journalist on deadline, a podcast, or a conference stage Prior work at a data PR-forward org (think Ramp, Square, CB Insights, Apartment List, Zillow Economics), who've experienced what a successful data media program actually looks like operationally, or background in family/household economic research Familiarity with mobility or location data, specifically understands panel bias, dwell time definitions, and place matching challenges Exceptional written and communication skills Bonus Experience with driving behavior datasets Fluency to write and understand SQL and know how to optimize performance (know why the query takes 20 hours) Prior experience setting up a data storytelling function from scratch (this is largely a build, not a maintain) Our Benefits Competitive pay and benefits Medical, dental, vision, life and disability insurance plans (100% paid for employees) 401(k) plan with company matching program Mental Wellness Program & Employee Assistance Program (EAP) for mental wellbeing Flexible PTO, 13 company wide days off throughout the year Winter and Summer Week-long Synchronized Company Shutdowns Learning & Development programs Equipment, tools, and reimbursement support for a productive remote environment Free Life360 Platinum Membership for your preferred circle Free Tile Products Life360 Values Our company’s mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference Be a Good Person - We have a team of high integrity people you can trust. Be Direct With Respect - We communicate directly, even when it’s hard. Members Before Metrics - We focus on building an exceptional experience for families. High Intensity, High Impact - We do whatever it takes to get the job done. Our Commitment to Diversity We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying! #LI-Remote", "summaryDescription" : "Senior Director, Economic Insights at Life360. Skills: Economic insights, Data PR, AI native analytics. Create thought-leading economic research and analysis. Leverage Life360 data and external datasets", "postedDate" : "2026-06-12T22:12:14.395", "createdAt" : "2026-06-12T22:12:14.395", "lastUpdated" : "2026-06-15T00:48:55.507", "ingestTimestamp" : "2026-06-12T22:12:14.395", "mongoId" : "6a2c5e5374d8ee00a08e315e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 245000, "salaryAnnualMax" : 375000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Seasonal adjustment", "Time series analysis", "Geographic aggregations", "Curious mindset", "Leadership", "Economic insights", "Data PR", "AI native analytics", "Economic research", "Data storytelling", "Consumer behavior", "Location data", "Retail analytics", "Mobility analytics", "Panel bias", "Dwell time definitions", "Place matching", "Family economic research", "Place matching challenges", "AI tools" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology" }, { "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. Build data models", "postedDate" : "2026-06-16T01:18:38.223", "createdAt" : "2026-06-16T01:18:38.223", "lastUpdated" : "2026-06-16T10:32:01.810", "ingestTimestamp" : "2026-06-16T01:18:38.223", "mongoId" : "6a307f57f292fd229c058281", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 175000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Data modeling", "ETL development", "Data warehousing", "Quantitative analysis", "AI development", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306724f292fd229cfb9ac9", "title" : "Evidence and Insights Manager", "company" : "Girl Effect", "industry" : "Media", "salary" : { "min" : 3800000.0, "max" : 6500000.0, "currency" : "KES", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Evidence and Insights Manager in Kenya, adjusted for the non-profit industry and contract employment type." }, "location" : "Kenya", "locations" : [ "Kenya" ], "timestamp" : "2026-06-16T06:58:42.744", "fingerprint" : "fe282112e60fdd0b35eb9991d7b1a64b9dc9a306eafa3ea496f05e08adbd32f2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/girleffect/jobs/8591795002", "externalId" : "8591795002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Kenya", "continent" : "af", "workMode" : "onsite" } ], "locationText" : "Kenya", "employmentType" : "CONTRACT", "experienceMinYears" : 4, "experienceLevel" : "Manager", "professionalSkills" : [ "Applied research", "Monitoring and evaluation", "Research design", "Fieldwork", "Data analysis", "Reporting", "Commissioning research", "Managing research", "Strategic planning", "Knowledge management", "Project management" ], "hardSkillsList" : [ "Qualitative analysis", "Quantitative analysis", "Digital data analysis", "Research methods", "Data analysis", "Reporting" ], "softSkillsList" : [ "Leadership", "Negotiation", "Conflict resolution", "Public speaking", "Critical thinking", "Mentoring" ], "hardSkills" : [ { "name" : "Qualitative analysis", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Digital data analysis", "level" : "intermediate" }, { "name" : "Research methods", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Negotiation" }, { "name" : "Conflict resolution" }, { "name" : "Public speaking" }, { "name" : "Critical thinking" }, { "name" : "Mentoring" } ], "majorSkills" : "Applied research, Monitoring and evaluation, Data analysis, Reporting", "majorSkillsList" : [ "Applied research", "Monitoring and evaluation", "Data analysis", "Reporting" ], "coreResponsibilities" : "Write requests for proposals, Write Terms of Reference, Review research tools, Advise on sampling strategies, Advise on methodologies, Review analysis, Review reporting, Support quality assurance during fieldwork, Conduct on-site visits, Provide technical expertise to research projects, Provide technical expertise to M&E projects, Advise on fit-for-purpose designs, Suggest qualitative methodologies, Suggest quantitative methodologies, Suggest other research approaches, Ensure ethical standards are upheld, Ensure safeguarding standards are upheld, Ensure field implementation is conducted to high standards, Train field research partners, Oversee field research partners, Ensure research outputs are accessible, Ensure research outputs are understandable, Ensure research outputs are useful, Utilise research outputs, Develop research partnerships, Maximise opportunities for cost-sharing, Maximise opportunities for joint learning, Deliver other duties relevant to position", "teamCollaboration" : "Work across functions; Work across countries; Work alongside global MERL team", "projectManagementSkills" : [ "Project management", "Research processes", "Research timelines" ], "domainKnowledge" : "Gender; Sexual reproductive health; Mental health; Economic empowerment", "domainList" : [ "gender", "sexual-reproductive-health", "mental-health", "economic-empowerment" ], "domainSpecificKnowledge" : [ "Gender", "Sexual reproductive health", "Mental health", "Economic empowerment" ], "communicationSkills" : "Knowledge management communication; Engaging reports; Research outputs communication", "documentationSkills" : "Reporting; Research outputs", "innovationCreativity" : "Creative mindset", "problemSolvingSkills" : "Uncovering new insights; Translating insights", "specialRequirements" : "12 month contract basis", "qualificationsBasic" : "Minimum 5 years applied research, Minimum 4 years M&E experience, Postgraduate degree in relevant field, SQL proficiency, Qualitative and quantitative research design, Fieldwork experience, Data analysis experience, Reporting experience, Commissioning research agencies, Managing research agencies, Qualitative data analysis, Quantitative data analysis, Digital adaptations data analysis, Uncovering new insights, Translating insights into reports, Strategic planning experience, Knowledge management experience, Communication skills, Organisation skills, Project management skills, Cultural awareness, Sensitivity to cultures, Creative mindset, Inquisitive mindset, Fluent in English, High level English writing, High level English speaking", "qualificationsPreferred" : "Experience with girls on sensitive issues, Experience with participatory engagement, Technical knowledge in thematic areas, Background evaluating programs for women/girls, Hands-on applied research experience, Experience training others in research methods, Experience mentoring others in research methods, Experience training others in data analysis, Experience mentoring others in data analysis, Experience training others in reporting, Experience mentoring others in reporting", "remoteFriendly" : true, "rawDescription" : "Who we are Girl Effect is an international non-profit that builds media that girls want, trust and need. From chat-bots to chat-shows and TV dramas to tech, our content is reaching millions of girls in Africa and Asia to make choices and changes in their lives. Igniting their confidence to act differently at a time that can define their future. We create safe spaces for girls, sharing facts, and answering questions about health, nutrition, education, relationships and so much more. And we use innovative technology so we can reach girls at scale. We arm girls with the skills to negotiate and redefine what they are told is possible, so every girl can choose to be in control of her body, her health, her learning and livelihood. When a girl unlocks her power to make different choices that change her life, it inspires others to do so too. She starts a ripple effect that impacts her family, her community, her country. That’s the Girl Effect. Role Context The Evidence write requests for proposals and Terms of Reference for studies, review research tools, advise on sampling strategies and methodologies, and review analysis and reporting. Support with quality assurance during fieldwork, with on-site visits' or something, as I think this will be a key aspect of the role. Provide technical expertise to research, monitoring, and evaluation projects, working alongside our global MERL team as required. You will advise on fit-for purpose designs suggesting qualitative and/or quantitative methodologies or other approaches (e. g. using digital methods or secondary data sources) as appropriate. Ensure that Girl Effect’s ethical and safeguarding standards are upheld, and that field implementation is conducted to the highest standards, through training and oversight of field research partners. Ensure that research outputs are accessible, readily understandable, and useful, ensuring they are utilised as much as possible. Develop research partnerships with local and international research organisations to maximise opportunities for cost-sharing and joint learning. This list should not be considered exhaustive; you will be expected to deliver other duties relevant and appropriate to this position. Who You Are (Experience Required) Substantial experience (minimum 5 years) in applied research and/or monitoring and evaluation in Kenya or a postgraduate degree in a relevant field and at least 4 years of work experience. Passionate about working with adolescent girls and young women and truly supporting them thrive in challenging environments. Demonstrated experience in implementation of high quality qualitative and quantitative research design, fieldwork, data analysis and reporting. Experience of commissioning and managing research agencies throughout projects ensuring deliverables are completed on time and meeting the organisational needs. Strong qualitative and quantitative data analysis skills; proficient with digital adaptations. Demonstrated experience in uncovering new insights and translating these into exciting, engaging reports and research outputs. Experience in strategic planning and knowledge management Strong communication skills; able to work effectively across functions and countries. Excellent organisation and project management skills; able to develop and drive research processes and timelines. Strong cultural awareness and sensitivity about the cultures within which Girl Effect operates. Creative and inquisitive mindset with strong communication and organisational skills. Commitment to realising the potential of girls and to the vision and values of Girl Effect. Desirable Expertise working with girls on sensitive issues in Kenya Experience with participatory engagement approaches Technical/theoretical knowledge in one or more of Girl Effect’s thematic areas (e. g. gender, sexual and reproductive health, mental health, or economic empowerment) Background in evaluating programmes that relate to women and girls Hands-on experience of applied research in emerging markets or developing contexts. Experience in training and mentoring others in research methods, data analysis and reporting. Fluent in English, with a high level in writing as well as speaking What Else You Should Know As we continue to scale and grow - we are hugely ambitious for our future and we are looking for people who are driven to change the world for girls. Our teams are a diverse mix across sectors (non-profit and commercial) and specialisms (from Creative through to Gender and Insight). You’ll learn and grow in an environment that will challenge you to think and work with a fresh perspective. In turn, you can expect to work somewhere where you will be stretched and developed in your role, a place where you can build your career and work with talented, engaged people committed to our cause. Girl Effect is committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, or gender identity or expression. We are proud to be an equal opportunity workplace. We are committed to building an organisation that is increasingly representative of the communities that we serve. To this end, due regard will be paid to recruiting candidates with diverse professional, academic and cultural backgrounds. Furthermore, Girl Effect is committed to safeguarding and promoting the welfare and rights of all individuals, particularly the adolescent girls and young women we support. We have zero-tolerance for safeguarding violations, including sexual exploitation, abuse, and harassment (SEAH). All employees are required to adhere to our safeguarding policies and successfully complete relevant background checks, including reference and criminal record checks where applicable. This role is subject to a standard background disclosure. This role is being recruited for on a 12 month contract basis. Only applications submitted via https://job-boards.greenhouse.io/girleffect will be reviewed. Application closing date –29th June 2026", "summaryDescription" : "Evidence and Insights Manager at Girl Effect. Skills: Applied research, Monitoring and evaluation, Data analysis, Reporting. Write requests for proposals. Write Terms of Reference", "postedDate" : "2026-06-15T23:29:34.800", "createdAt" : "2026-06-15T23:29:34.800", "lastUpdated" : "2026-06-16T06:58:42.744", "ingestTimestamp" : "2026-06-15T23:29:34.800", "mongoId" : "6a306724f292fd229cfb9ac9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Qualitative analysis", "Quantitative analysis", "Digital data analysis", "Research methods", "Data analysis", "Reporting", "Leadership", "Negotiation", "Conflict resolution", "Public speaking", "Critical thinking", "Mentoring", "Applied research", "Monitoring and evaluation", "Research design", "Fieldwork", "Commissioning research", "Managing research", "Strategic planning", "Knowledge management", "Project management", "Research processes", "Research timelines", "Gender", "Sexual reproductive health", "Mental health", "Economic empowerment" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Non-Profit", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cddd174d8ee00a0a57bb9", "title" : "Group Director, Research and Analytics", "salary" : { "min" : 225000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Research and Analytics in New York, adjusted for seniority and the US market." }, "location" : "New York, NY", "locations" : [ "New York, NY" ], "timestamp" : "2026-06-16T05:35:40.099", "fingerprint" : "c136058eddca72c6c6a2e9726ceef97a40027d4dc3bc55dd230df16375e336f8", "source" : "jazzhr", "language" : "en", "externalId" : "Mrz3uu09ov", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceLevel" : "Director", "qualificationsBasic" : "SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified, Dbt Certified", "summaryDescription" : "Group Director, Research and Analytics", "createdAt" : "2026-06-14T20:39:15.196", "lastUpdated" : "2026-06-16T05:35:40.099", "ingestTimestamp" : "2026-06-14T20:39:15.196", "mongoId" : "6a2cddd174d8ee00a0a57bb9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 225000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5d9c74d8ee00a08dd430", "title" : "Senior Manager, Insights & Analytics (Contract Employee)", "company" : "the Ad Council", "salary" : { "min" : 120000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Manager, Insights & Analytics in the United States, adjusted for the non-profit industry and contract employment type." }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-15T00:39:35.441", "fingerprint" : "ef3da6ae1b61d1e55860d09c3a78c7823c97fcdf89841ec8b1bed8eb14c6d115", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/adcouncil/jobs/4500610005", "externalId" : "4500610005", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "CONTRACT", "experienceLevel" : "Manager", "professionalSkills" : [ "Project management" ], "hardSkillsList" : [ "Quantitative analysis", "Qualitative analysis", "Trend analysis", "Subgroup analysis" ], "softSkillsList" : [ "Curious", "Learning-oriented" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Qualitative analysis", "level" : "intermediate" }, { "name" : "Trend analysis", "level" : "intermediate" }, { "name" : "Subgroup analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Learning-oriented" } ], "majorSkills" : "Insights & Analytics", "majorSkillsList" : [ "Insights & Analytics" ], "coreResponsibilities" : "Support programming for rapid-turn research, Draft and distribute RFPs, Support vendor selection, Co-manage vendor relationships through project completion, Conduct advanced quantitative analysis, Conduct qualitative analysis, Conduct trend analysis, Conduct subgroup analysis, Translate insights", "domainKnowledge" : "Digital landscape; Social media landscape", "domainList" : [ "digital-landscape", "social-media-landscape" ], "domainSpecificKnowledge" : [ "Digital landscape", "Social media landscape" ], "toolProficiency" : [ "Asana" ], "problemSolvingSkills" : "Working through ambiguity; Turning complexity into clarity", "qualificationsBasic" : "Advanced quantitative analysis, Qualitative analysis", "qualificationsPreferred" : "Insight Translation experience with SPSS, Insight Translation experience with SAS, Insight Translation experience with DisplayR", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Who we are: The Ad Council convenes creative storytellers to educate, unite and uplift audiences by opening hearts, inspiring action and accelerating change. For more than 80 years, the nonprofit organization and its partners in advertising, media, marketing and tech have been behind some of the country's most iconic social impact campaigns – Smokey Bear, Friends Don’t Let Friends Drive Drunk, Tear the Paper Ceiling and many more. Job Summary We’re looking for a Senior Manager, Insights support programming for rapid-turn research. Draft and distribute RFPs, support vendor selection, and co-manage vendor relationships through project completion. Conduct advanced quantitative and qualitative analysis, including trend analysis and subgroup analysis. Insight Translation experience with SPSS, SAS, and/or DisplayR is a plus. Understanding of the evolving digital and social media landscape. Experience with project management tools such as Asana. A curious, learning-oriented mindset; comfort working through ambiguity and turning complexity into clarity. What we’re committed to: At the Ad Council, we value and celebrate the unique characteristics and perspectives that make each person who they are. Fostering a welcoming environment allows us to enhance and reimagine how we reach our audiences, driving true, measurable, and life-changing impact on the most important issues facing our country today. The Ad Council is an Equal Opportunity Employer. Qualified applicants will be considered for employment without regard to any legally protected status. The Ad Council invites all qualified, interested applicants to apply for career opportunities. In accordance with the EEOC, if you are a person with a disability and need a reasonable accommodation for any part of the application or hiring process, please submit your request through one of the following methods listed below. How to reach us: To apply online: https://www.adcouncil.org/join-our-team Email: (careers@adcouncil.org) Fax (212) 922-1676 or Ad Council Attn: People Operations Team 815 2nd Avenue, 9th Floor New York, NY 10017 #LI-Remote", "summaryDescription" : "Senior Manager, Insights & Analytics (Contract Employee) at the Ad Council. Skills: Insights & Analytics. Support programming for rapid-turn research. Draft and distribute RFPs", "postedDate" : "2026-06-12T21:37:17.793", "createdAt" : "2026-06-12T21:37:17.793", "lastUpdated" : "2026-06-15T00:39:35.441", "ingestTimestamp" : "2026-06-12T21:37:17.793", "mongoId" : "6a2c5d9c74d8ee00a08dd430", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Quantitative analysis", "Qualitative analysis", "Trend analysis", "Subgroup analysis", "Curious", "Learning-oriented", "Insights & Analytics", "Project management", "Digital landscape", "Social media landscape", "Asana" ], "skillCount" : 11, "jobCategory" : "other", "jobSubcategory" : "insights-&-analytics", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a0de91358b93c861eb990bc", "title" : "Senior Director, Revenue Performance & Strategy", "company" : "Tampa General Hospital", "industry" : "Healthcare", "salary" : { "min" : 245000.0, "max" : 375000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data adjusted for director seniority, healthcare industry, and Tampa city tier." }, "location" : "United States-Florida-Tampa", "locations" : [ "United States-Florida-Tampa", "
TGH Corporate Center (TGHCORPCTR)
606 W Kennedy Blvd

Tampa, 33606

" ], "certifications" : [ "Epic Resolute certification", "Epic Analytics certification" ], "timestamp" : "2026-06-15T11:37:26.464", "fingerprint" : "4a973bcd342783a06669eaa44dc3c6e990862ea54ab1ee3b622f0379911b0de3", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-tgh.taleo.net/careersection/ex/jobdetail.ftl?job=675442", "externalId" : "675442", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Machine learning, Data-driven tools", "professionalSkills" : [ "Operational excellence", "Strategic planning", "Process engineering", "Financial analysis", "Operational analysis", "Performance monitoring", "Change management" ], "hardSkillsList" : [ "Revenue cycle management", "Yield improvement", "AR analysis", "Clean claim rates", "AR curves", "Payer mix", "Point-of-service collections", "Eligibility capture", "Root-cause analysis", "Corrective action plans", "Cross-functional standardization", "Forecasting", "Financial impact estimation", "Executive reporting" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Revenue cycle management", "level" : "intermediate" }, { "name" : "Yield improvement", "level" : "intermediate" }, { "name" : "AR analysis", "level" : "intermediate" }, { "name" : "Clean claim rates", "level" : "intermediate" }, { "name" : "AR curves", "level" : "intermediate" }, { "name" : "Payer mix", "level" : "intermediate" }, { "name" : "Point-of-service collections", "level" : "intermediate" }, { "name" : "Eligibility capture", "level" : "intermediate" }, { "name" : "Root-cause analysis", "level" : "intermediate" }, { "name" : "Corrective action plans", "level" : "intermediate" }, { "name" : "Cross-functional standardization", "level" : "intermediate" }, { "name" : "Forecasting", "level" : "intermediate" }, { "name" : "Financial impact estimation", "level" : "intermediate" }, { "name" : "Executive reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Revenue cycle strategy, Epic HB optimization, Financial analysis", "majorSkillsList" : [ "Revenue cycle strategy", "Epic HB optimization", "Financial analysis" ], "coreResponsibilities" : "Co-develop strategic roadmap, Implement strategic roadmap, Advance operational performance, Advance yield, Advance automation, Define enterprise goals, Translate goals into work plans, Lead root cause analysis, Address underpayments, Address denials, Address missed reimbursement opportunities, Design analytics, Prioritize AR by collectability, Prioritize AR by dollar value, Guide staff to high-yield accounts, Serve as strategic integrator, Conduct financial analysis, Conduct operational analysis, Identify trends, Identify bottlenecks, Identify high-impact opportunities, Oversee Epic HB optimization, Align system design with workflows, Develop standardized dashboards, Develop performance reports, Ensure accuracy, Ensure visibility, Ensure accountability, Lead Kaizen events, Facilitate stakeholder workgroups, Facilitate executive updates, Support automation, Support machine learning, Support data-driven tools, Improve staff productivity, Improve decision-making, Guide cross-functional teams, Execute key initiatives, Ensure sustainability of improvements, Represent Revenue Cycle, Lead Yield & Cash Performance Review", "teamCollaboration" : "Working with analytics teams; Working with Epic teams; Working with finance teams; Working with operational teams; Partner with executive leadership; Strategic integrator between teams; Partnering with technical teams; Stakeholder workgroups; Guide cross-functional teams; Represent Revenue Cycle in projects", "projectManagementSkills" : [ "Strategic roadmaps", "Work plans", "Initiatives", "Workstreams", "Change management" ], "domainKnowledge" : "Revenue cycle management; Hospital billing; Patient financial services; Academic medical center; Large health system; Revenue cycle operations; Cash acceleration; Denial reduction; Efficiency; Clean claim rates; AR curves; Payer mix; Point-of-service collections; Eligibility capture; Epic HB modules; Patient Financials; Claims; Billing; Data/analytics; Compliance; Clinical; Finance; Operations", "domainList" : [ "revenue-cycle-management", "hospital-billing", "patient-financial-services", "academic-medical-center", "large-health-system", "revenue-cycle-operations", "cash-acceleration", "denial-reduction", "efficiency", "clean-claim-rates", "ar-curves", "payer-mix", "point-of-service-collections", "eligibility-capture", "epic-hb-modules", "patient-financials", "claims", "billing", "data-analytics", "compliance", "clinical", "finance", "operations" ], "domainSpecificKnowledge" : [ "Revenue cycle management", "Hospital billing", "Patient financial services", "Academic medical center", "Large health system", "Revenue cycle operations", "Cash acceleration", "Denial reduction", "Efficiency", "Clean claim rates", "AR curves", "Payer mix", "Point-of-service collections", "Eligibility capture", "Epic HB modules", "Patient Financials", "Claims", "Billing", "Data/analytics", "Compliance", "Clinical", "Finance", "Operations" ], "toolProficiency" : [ "Epic HB modules", "Epic Resolute", "Epic Analytics" ], "communicationSkills" : "Executive updates; Executive reporting", "problemSolvingSkills" : "Root cause analysis; Analytical skills; Identify trends; Identify bottlenecks; Identify high-impact opportunities", "outcomesObjectives" : "Measurable outcomes in performance; Measurable outcomes in efficiency; Measurable outcomes in financial results; Advance operational performance; Advance yield; Advance automation; Reduce variation", "qualificationsBasic" : "Bachelor's Degree in Business, Epic Resolute or Analytics certification, Eight (8) years of progressive experience, Leading multi-year strategic roadmaps, Hands-on expertise in designing improvements, Served as a strategic liaison, Experience in analytic modeling, Demonstrated leadership in performance monitoring", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Sr Director, Revenue Performance and Strategy serves as a key leader within Tampa General Hospital’s Revenue Cycle division. Reporting directly to the Chief Revenue Cycle Officer and Senior Vice President of Revenue Cycle, this position drives operational excellence, yield improvement, and long-range strategic planning across all hospital billing (HB) and patient financial service functions. This role functions as both strategist and operator, building the three-year roadmap for revenue cycle success and aligning people, technology, and process improvement efforts with the system’s most significant opportunities. The Director will operate independently, working closely with analytics, Epic, finance, and operational teams to create measurable outcomes in performance, efficiency, and financial results. The ideal candidate combines deep Epic expertise, advanced analytical skills, and process engineering experience. This individual serves as a chief of staff–type leader, capable of managing priorities, orchestrating initiatives, and assuring execution across all workstreams. Essential Functions: Co-develop with CRCO and implement a 3-year strategic roadmap to advance operational performance, yield, and automation across all revenue cycle domains. Partner with executive leadership to define enterprise goals and translate them into actionable work plans and measurable KPIs. Lead root cause analysis to address underpayments, denials, and missed reimbursement opportunities. Designs analytics that prioritize AR by collectability and dollar value, guiding staff to high-yield accounts first. Serve as the strategic integrator between RCM operations, analytics, IT (Epic), and finance teams. Conduct in-depth financial and operational analysis to identify trends, bottlenecks, and high-impact opportunities. Oversee Epic HB optimization efforts, partnering with technical teams to align system design with operational workflows. Develop standardized dashboards and performance reports, ensuring accuracy, visibility, and accountability at all levels. Lead or facilitate Kaizen events, stakeholder workgroups, and executive updates on revenue cycle strategy. Support automation, machine learning, and data-driven tools that improve staff productivity and decision-making. Guide cross-functional teams in executing key initiatives with discipline and clarity, ensuring sustainability of improvements. Represent Revenue Cycle in enterprise projects impacting financial performance, technology adoption, or patient experience. Leads monthly Yield & Cash Performance Review with CFO and CRCO Bachelor's Degree in Business, Accounting, or other related field. Epic Resolute or Analytics certification required. Eight (8) years of progressive experience in revenue cycle management, hospital operations, or healthcare process improvement within a complex academic medical center or large health system. This should include leading multi-year strategic roadmaps for revenue cycle operations, aligned with enterprise goals like cash acceleration, denial reduction, and efficiency. Proven success in identifying and prioritizing high-impact opportunities such as clean claim rates, AR curves, payer mix, point-of-service collections, and eligibility capture is essential. Hands-on expertise in designing and implementing end-to-end process improvements, particularly within Epic HB modules (e.g., Patient Financials, Claims, and Billing), will be key. This includes conducting root-cause analysis, developing corrective action plans, and implementing cross-functional standardization to reduce variation. The candidate must have served as a strategic liaison across IT, data/analytics, compliance, clinical, finance, and operations, handling escalations, risk mitigation, and strategy adjustments. Experience in analytic modeling, forecasting, and financial impact estimation along with driving change management through training, communication, and stakeholder alignment, is required. Demonstrated leadership in performance monitoring via dashboards and KPIs, team accountability, and executive reporting (e.g., to CRCO, SVP, CFO) rounds out the profile, including mentoring staff as a force multiplier in ambiguous, multi-workstream environments. Tampa", "summaryDescription" : "Senior Director, Revenue Performance & Strategy at Tampa General Hospital. Skills: Revenue cycle strategy, Epic HB optimization, Financial analysis. Co-develop strategic roadmap. Implement strategic roadmap", "createdAt" : "2026-06-14T02:57:02.474", "lastUpdated" : "2026-06-15T11:37:26.464", "ingestTimestamp" : "2026-06-14T02:57:02.474", "mongoId" : "6a0de91358b93c861eb990bc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 245000, "salaryAnnualMax" : 375000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Revenue cycle management", "Yield improvement", "AR analysis", "Clean claim rates", "AR curves", "Payer mix", "Point-of-service collections", "Eligibility capture", "Root-cause analysis", "Corrective action plans", "Cross-functional standardization", "Forecasting", "Financial impact estimation", "Executive reporting", "Leadership", "Revenue cycle strategy", "Epic HB optimization", "Financial analysis", "Operational excellence", "Strategic planning", "Process engineering", "Operational analysis", "Performance monitoring", "Change management", "Strategic roadmaps", "Work plans", "Initiatives", "Workstreams", "Hospital billing", "Patient financial services", "Academic medical center", "Large health system", "Revenue cycle operations", "Cash acceleration", "Denial reduction", "Efficiency", "Epic HB modules", "Patient Financials", "Claims", "Billing", "Data/analytics", "Compliance", "Clinical", "Finance", "Operations", "Epic Resolute certification", "Epic Analytics certification", "Epic Resolute", "Epic Analytics" ], "skillCount" : 49, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a660b74d8ee00a062bb77", "title" : "Director, Analytics and Decision Science", "company" : "Audible, Inc.", "industry" : "Finance Accounting, Science, subsidiaries", "salary" : { "min" : 100000.0, "max" : 236900.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Newark, New Jersey, USA", "locations" : [ "Newark, New Jersey, USA" ], "timestamp" : "2026-06-15T03:08:33.431", "fingerprint" : "a7c3ae8b94b8a84b0c96a0a724805259d1556dc2c4b18884b4a7dcc9b396e6ae", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10442437/apply", "externalId" : "0cca02c1-c81a-4c57-bad0-6f556b3742b9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Newark", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7356570,-74.1723667" } ], "locationText" : "Newark, New Jersey, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, R, SQL, Tableau, Microstrategy", "professionalSkills" : [ "Decision science", "Business intelligence", "Strategic analytics", "Consulting" ], "hardSkillsList" : [ "Causal inference", "Experimental design", "Data modeling" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Analytics, Decision Science, Data Products", "majorSkillsList" : [ "Analytics", "Decision Science", "Data Products" ], "coreResponsibilities" : "Drive discussion and decision, Explain insight-driven actions, Predict insight-driven actions, Scenarize insight-driven actions, Deliver technical solutions, Influence business functions, Guide business functions, Automate business functions, Increase business effectiveness, Increase business efficiency, Hold business accountable, Drive continuous improvement, Design measurement frameworks, Build measurement frameworks, Track initiative performance, Track business performance, Frame hypotheses, Frame potential decisions, Develop experimental designs, Leverage cross-functional knowledge, Design decision science initiatives, Lead decision science initiatives, Understand business economics, Identify pain points, Identify opportunities, Provide solutions, Develop in-depth knowledge, Maximize tool potential, Own accuracy of deliveries, Own relevance of deliveries, Own quality of deliveries, Own impact of deliveries, Communicate crisply, Develop compelling presentations, Develop compelling documents", "teamCollaboration" : "Cross-functional knowledge; Business partners; Tech audiences; Non-tech audiences", "projectManagementSkills" : [ "High-stake tasks", "Simultaneous projects" ], "domainKnowledge" : "Digital environment", "domainList" : [ "digital-environment" ], "domainSpecificKnowledge" : [ "Digital environment" ], "toolProficiency" : [ "Tableau", "Microstrategy" ], "communicationSkills" : "Oral communication; Written communication; Executive presentations; Manager presentations", "documentationSkills" : "Documents", "problemSolvingSkills" : "Strategic thinking; Insightful analysis", "outcomesObjectives" : "Influence business functions; Guide business functions; Automate business functions; Increase effectiveness; Increase efficiency; Hold accountable; Drive continuous improvement; Track initiative performance; Track business performance; Focus on results; Focus on execution", "qualificationsBasic" : "Analyzing data to drive decisions, 5+ years relevant experience, Degree in technology or mathematics, Developing data-driven products, Sharing business recommendations, Managing challenging assignments, Experience with Python, Experience with R, Experience with SQL, Experience with Tableau, Experience with Microstrategy", "qualificationsPreferred" : "Advanced degree, MBA, MS, PhD, Experience in large B2C companies, Experience working with C-level leaders", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us. At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us. ABOUT THIS ROLE As a leader and individual contributor of Audible’s Analytics and Decision Science group, you will drive discussion and decision with our business partners by explaining, predicting, scenarizing, prescribing insight-driven actions with/for both tech and non-tech audiences. You will deliver the right technical solution (analytics- or data-product) to influence, guide, and force-multiply (via automation) our business functions, increase their effectiveness and efficiency, and hold them accountable. You will help drive continuous improvement by designing and building measurement frameworks, and other communications conduits (presentations and documents) to track initiative and business performance, driving focus on results and execution. You will frame hypotheses and potential decisions into a testable structure and develop robust experimental designs. You will leverage deep cross-functional knowledge to be a trusted advisor across a wide range of issues. Alternate locations available: This position can also be located in Audible's Berlin or London hubs. ABOUT YOU You are able to work with minimal instruction and oversight, conduct multiple high-stake tasks and projects simultaneously, and own deliverables end-to-end with limited dependencies on the work of others. You have the ability to think strategically, develop insightful analysis, and frame decisions, and communicate findings concisely to senior leaders in your and other organizations. As a Director, Analytics and Decision Science, you will... - Design and lead hands-on decision science initiatives that support Audible strategy and programs. Use causal inference methods (experimentation and models) to understand the incremental impact of our activity on business performance - Learn and master the intricacies of our economics, understand pain points and opportunities, and provide solutions short-term and long-term - Develop an in-depth knowledge of all relevant data sources, business intelligence technologies, data science, and analytical tools available to maximize their potential. Ensure and own the accuracy, relevance, quality, and impact of your deliveries - Communicate crisply in both oral and written forms for different levels of audiences (Tech, non-Tech, manager to executive) - Develop compelling presentations and documents ABOUT AUDIBLE Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home. Basic Qualifications: - Experience in analyzing data to drive decisions - 5+ years of relevant experience in the areas of Strategic Analytics, Business Intelligence, Decision Science, or Consulting in a digital environment or in a related field - Degree in technology, mathematics or a related field, speaks of a person who is comfortable in data-centric environments - Experience in developing data-driven products, and sharing business recommendation and their financial/customer impact with the stakeholders - Experience managing challenging assignments with aggressive schedules - Experience with programming languages (such as Python, R, etc.), SQL and visualization tools (Tableau, Microstrategy, etc.) Preferred Qualifications: - Advanced degree, Business (MBA), MS, PhD or equivalent experience - Previous experience in large B2C companies a plus - Experience working with C-level leaders 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, NJ, Newark - 175,100.00 - 236,900.00 USD annually", "summaryDescription" : "Director, Analytics and Decision Science at Audible, Inc.. Skills: Analytics, Decision Science, Data Products. Drive discussion and decision. 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You know that collaboration amongst teams and active listening of clients is critical to meet goals and grow. You strengthen our relationship with customers and unlock opportunities for growth. Selling, understanding our customers and their contexts, effective negotiation and growth mindset drive your work. Qualifications: • Min 7-10+ years of experience • Solid sales skills and developed sales expertise in target scope • Solid understanding of data analytics industry, business model, products, services, and solutions like Brand Health, Segmentation, Usage & Attitude studies, Shopper and Shopping Behavior, Customer Experience and Advertising Effectiveness. • Experience working with FMCG clients • Solid understanding of market trends and its interdependencies impacting customers ## Additional Information Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. 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You know that collaboration amongst teams and active listening of clients is critical to meet goals and grow. You strengthen our relationship with customers and unlock opportunities for growth. Selling, understanding our customers and their contexts, effective negotiation and growth mindset drive your work. Qualifications: • Min 7-10+ years of experience • Solid sales skills and developed sales expertise in target scope • Solid understanding of data analytics industry, business model, products, services, and solutions like Brand Health, Segmentation, Usage & Attitude studies, Shopper and Shopping Behavior, Customer Experience and Advertising Effectiveness. • Experience working with FMCG clients • Solid understanding of market trends and its interdependencies impacting customers ## Additional Information Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. 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Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE We’re Everpure—the company reinventing storage and data management as a living system so organizations can unleash the power of their data in the AI era. To fuel this next chapter, we’re looking for a Director, Planning and Performance for the Global Partner Organization who is equal parts strategist, operator, and change-maker. This is not a maintenance role. This leader will serve as the operating partner to the VP of the Global Partner Organization, helping drive alignment, execution, rigor, and follow-through across a complex, fast-moving team. This role is for someone who can bring order, judgment, and momentum to ambiguous problems, and who knows how to orchestrate work across multiple leaders without needing formal authority over every outcome. In many cases, this person will not be the sole doer—they will be the coordinator, connector, and closer who ensures the right work happens, by the right people, at the right time. The impact of this role will be significant. This person will help drive closer alignment and unity across the team, increase operating productivity, represent the Global Partner Organization in the right forums, and reduce the number of balls dropped by bringing stronger planning discipline, follow-through, and preparation into the business cadence. We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave. WHAT YOU'LL DO Drive business rhythm and execution Act as the orchestrator and closer for high-priority initiatives that require coordination across multiple leaders in the Global Partner Organization. Bring structure, follow-up, and disciplined execution to the VP’s priorities so initiatives move from discussion to decision to completion. Build and run the operating cadence for the business, including QSR planning, leadership reviews, key checkpoints, and follow-through on actions. Ensure the VP and leadership team are prepared for critical moments, including webinars, videos, media interviews, steering committees, executive reviews, and other high-visibility engagements. Get ahead of deadlines and dependencies so materials are developed with quality and intention—not finished minutes before presentation. Increase alignment across leaders and teams Partner closely with leaders across the Global Partner Organization to create clarity on priorities, owners, dependencies, and timelines. Drive alignment and execution of business plans across cross-functional stakeholders and partner teams. Serve as connective tissue across the organization, ensuring decisions are socialized, actions are tracked, and teams stay in sync. Help create greater unity across the GPO leadership team by reinforcing shared priorities, common operating principles, and accountability. Represent the Global Partner Organization Represent the VP and the Global Partner Organization in meetings where leadership presence is needed but the session does not require the VP directly or is not the best fit for another leader. Act as a credible proxy and business representative in cross-functional forums, ensuring the team is informed, well-represented, and connected to broader decisions and changes. Maintain close engagement with peers in similar business operations, strategy, and chief-of-staff-like roles across other functions to keep the organization in the loop and effectively represented. Lead planning, metrics, and operational rigor Define and manage operational metrics, dashboards, and reporting to measure business performance and identify areas for improvement. Partner with leaders to define KPIs, team goals, and success measures, including ownership and tracking in Workday where appropriate. Help the organization use data-driven insights and recommendations to inform decisions, spot risks early, and improve execution quality. Support QSR planning and scorecard discipline so the business has a consistent and credible view of progress, gaps, and actions. Build mechanisms that improve preparedness, follow-through, and accountability across the leadership team. Shape communications and content Partner with the Enablement team and other key stakeholders to develop content for all hands and other internal leadership communications. Nurture the sense of community across the One Partner Team, through communication, activities, and facilitating leadership outreach. Help translate strategy, priorities, and progress into clear, actionable narratives for leaders and teams. Ensure communications and materials are aligned, well-timed, and fit for audience and purpose. WHAT YOU BRING 12+ years of experience in business operations, strategy, chief of staff, program management, or a related operating role. Experience supporting senior executives and leading cross-functional initiatives in a global, matrixed environment. Track record of improving operating cadence, execution discipline, and team alignment. Experience with KPI definition, dash-boarding, goal-setting, and business review preparation. Experience partnering with sales, partner, go-to-market, enablement, finance, or operations teams is strongly preferred. Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations. This role may be eligible for incentive pay and/or equity. There is no application deadline and we accept applications on an ongoing basis until the job is filled. The annual base salary range is: $211,000—$301,000 USD WHAT YOU CAN EXPECT FROM US: Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers. Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®! Team: We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out purebenefits.com for more information. ACCOMMODATIONS AND ACCESSIBILITY: Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you’re invited to an interview. OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM: We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire. Join us and bring your best. Bring your bold. Pure and simple.", "summaryDescription" : "Director, Planning and Performance, Global Partner Organization at Everpure. Manage operational performance. 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Build performance and wellness ecosystem. Combine boxing", "createdAt" : "2026-06-14T19:37:09.041", "lastUpdated" : "2026-06-16T01:36:41.846", "ingestTimestamp" : "2026-06-14T19:37:09.041", "mongoId" : "6a2cc22774d8ee00a0a058b8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Performance lifestyle" ], "skillCount" : 1, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports & Fitness", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2176d474d8ee00a0c1b024", "title" : "Analytics & Insights Manager, Amazon Ads", "company" : "Amazon Ads", "industry" : "Marketing PR, Ad Sales, Advertising", "salary" : { "min" : 3200000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Analytics & Insights Manager in Bengaluru, India, adjusted for Manager seniority at a large company in the E-Commerce industry." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T05:44:48.351", "fingerprint" : "92a2123558174fa2ef6a01779940e3ddd7d1c8094fb73b328f3db7ef451fe5f2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10435359/apply", "externalId" : "3462a94a-7b9d-4067-9da1-a2639b059e6d", "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, "experienceLevel" : "Manager", "technicalSkills" : "SQL", "professionalSkills" : [ "Insights development", "Measurement excellence", "Innovation leadership", "Advertiser success", "Marketing strategies", "Campaign effectiveness", "Optimization opportunities", "Budget allocation", "Analytics strategy" ], "hardSkillsList" : [ "Statistical inference", "Regression", "Experimental design", "Significance testing", "SQL query optimization", "Complex datasets" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Statistical inference", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" }, { "name" : "Significance testing", "level" : "intermediate" }, { "name" : "SQL query optimization", "level" : "intermediate" }, { "name" : "Complex datasets", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Analytics, Insights, Data analysis, Stakeholder management", "majorSkillsList" : [ "Analytics", "Insights", "Data analysis", "Stakeholder management" ], "coreResponsibilities" : "Develop analytical modules, Deliver analytical insights, Influence spending decisions, Drive revenue growth, Conduct deep-dive analyses, Understand customer behavior, Understand campaign effectiveness, Understand optimization opportunities, Translate data into recommendations, Design self-service analytics solutions, Implement automated tools, Enable Sales teams, Build measurement frameworks, Track campaign effectiveness, Track ROI, Influence budget allocation, Drive improvement initiatives, Standardize best practices, Enhance insights delivery, Work cross-functionally, Solve business problems, Present findings, Advise on analytics strategy, Support advertiser reviews, Manage multiple projects, Maintain quality standards, Maintain accuracy, Mentor junior team members, Develop junior team members, Foster data-driven decision making, Share knowledge across teams", "teamCollaboration" : "Sales teams; Product teams; Marketing teams; Data Science teams; Senior leadership; External clients; Account Executives; Account Managers", "projectManagementSkills" : [ "Manage multiple projects" ], "domainKnowledge" : "Advertising; E-commerce; Marketing analytics; Marketing mix modeling; Multi-touch attribution; Incrementality testing", "domainList" : [ "advertising", "e-commerce", "marketing-analytics", "marketing-mix-modeling", "multi-touch-attribution", "incrementality-testing" ], "domainSpecificKnowledge" : [ "Advertising", "E-commerce", "Marketing analytics", "Marketing mix modeling", "Multi-touch attribution", "Incrementality testing" ], "communicationSkills" : "Communicate complex ideas; Present findings", "innovationCreativity" : "Innovation leadership", "problemSolvingSkills" : "Solve complex business problems", "outcomesObjectives" : "Drive incremental revenue growth; Optimize ad spend effectively", "qualificationsBasic" : "5+ years business intelligence, 5+ years analytics experience, Knowledge of statistical inference methods, Bachelor's degree quantitative field, Knowledge of SQL queries, Experience communicating complex ideas", "qualificationsPreferred" : "Experience in e-commerce, Master's degree statistics, Master's degree data science, Familiarity with marketing analytics", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Advertising is seeking an experienced Analytics & Insights Manager to join our growing Sales organization. This role is critical to scaling our advertising business by leveraging data and insights to enhance marketing strategies for major clients and drive advertiser success. As an Analytics & Insights Manager, you will serve as a strategic advisor to Sales teams (Account Executives and Account Managers) and advertisers, delivering value through insights development, measurement excellence, and innovation leadership. You will work backwards from advertiser needs to develop actionable insights that help optimize ad spend effectively with Amazon Ads. Key job responsibilities Strategic Insights, Analysis & Innovation • Develop and deliver bespoke analytical modules and insights that influence advertiser spending decisions and drive incremental revenue growth • Conduct deep-dive analyses to understand customer behavior, campaign effectiveness, and optimization opportunities, translating complex data into clear, actionable recommendations • Design and implement self-service analytics solutions and automated, scalable tools that enable Sales teams to execute insights independently • Build measurement frameworks and KPIs to track campaign effectiveness, ROI, and influence advertiser budget allocation strategies • Drive continuous improvement initiatives to standardize best practices and enhance the speed and quality of insights delivery across the organization Stakeholder Management & Collaboration • Work cross-functionally with Sales, Product, Marketing, and Data Science teams to solve complex business problems and present findings to senior leadership and external clients • Act as a trusted advisor to Account Executives and Account Managers on analytics strategy, supporting advertiser business reviews with comprehensive performance analysis • Manage multiple projects simultaneously while maintaining high standards of quality and accuracy • Mentor and develop junior team members on analytical methodologies and best practices • Foster a culture of data-driven decision making and share knowledge across teams to multiply impact beyond individual portfolios About the team The Amazon India Ads business functions as a strategic start-up with support and interest from business units across the company as well as Amazon’s top management. We are investing heavily in building a world class advertising business and are responsible for defining and delivering a collection of advertising products that drive awareness, engagement, discovery and sales. The work we do is strategically important to our Retail and Marketplace businesses for driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create new ad products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with an endless range of new opportunities. This role offers an opportunity to make a significant impact on the future vision for Amazon Ads in India Basic Qualifications: - 5+ years of business intelligence and analytics experience - Knowledge of methods for statistical inference (e.g. regression, experimental design, significance testing) - Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree - Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets - Experience communicating complex ideas to technical and non-technical audiences Preferred Qualifications: - Experience working in e-commerce - Master's degree in statistics, data science, or an equivalent quantitative field - Familiarity with marketing analytics including marketing mix modeling, multi-touch attribution, and incrementality testing 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" : "Analytics & Insights Manager, Amazon Ads at Amazon Ads. Skills: Analytics, Insights, Data analysis, Stakeholder management. Develop analytical modules. 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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. About WPP Media WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com ABOUT OPENMIND OpenMind by WPP is an integrated agency model drawing on talent from across WPP. It has been created to accelerate the European transformation for Nestlé’s media function. Core to the solution is the advanced best data and technology capabilities, fuelled by WPP’s investment in AI, to maximise the impact of Nestlé’s media investment. Role Summary and Impact The Associate Director is an experienced media analyst as part of ZEUR UK team, responsible for developing strong relationships with the UK Nestle team, providing excellent marketing effectiveness skills and have the knowledge/skills to push innovative thinking as well as best in class analysis. You will be an excellent communicator. With 47 countries, +450 team members, and regular new product launches, the account is looking for someone to support Marketing & Campaign analytics for the UK&I market Work with the Analytics Director and cross-functional teams to foster collaboration and champion marketing effectiveness across UK& I. Lead end-to-end analytical projects, with strategic recommendations that drive business impact. Lead the creation of media investment analysis and provide recommendations on a diverse array of channel budget optimization tools and methodologies to be applied across the Nestle portfolio. Leverage Marketing Mix Models and Media Best Practice to advise on optimal investment and scenarios. Advise on channel-mix optimization, and deliver data-driven recommendations to clients, linking business intelligence directly to performance. Calibrate Marketing Mix Model response curves into the agency media planning software. Translate complex analytics into clear, compelling narratives for diverse internal and external audiences. Utilise business results and client learning agendas to optimise campaign design. Design and advise on comprehensive measurement plans for campaigns of varying complexity, including hypotheses, variables, and success metrics. Support measurement setup and proactively identify measurement gaps and lead client communications. Extract, organise, and analyse data from diverse sources (e. g. Campaign performance, social listening, competitive analysis) to distil and distribute actionable insights. Support the client's learning agenda and align media sufficiency principles with local market guidelines. Engage with the broader effectiveness analytics community to share learnings and ensure delivery of agency best practices (e.g., PCAs, experimentation). Skills and Experience At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: Be Extraordinary by Leading Collectively to Inspire transformational Creativity. Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. Experience in marketing analytics. Ideal for a media-savvy analyst or an analytically focused planner. Detailed knowledge of media, marketing, and measurement across all channels. Excellent proficiency in Excel, PowerPoint, and common econometrics packages. Proven ability to convert complex analysis into real-world, actionable solutions. A creative problem-solving mentality, focused on providing robust and pragmatic solutions to client challenges. Very strong client-facing skills, with the ability to explain complex analysis clearly, simply, and compellingly. Ability to independently handle routine client requests and present findings internally. Ambitious, determined, and self-motivated, with a high sense of accountability and ownership. A strategic thinker and doer, curious with a strong thirst for continuous learning about technology, trends, and the industry. Ability to thrive in a fast-paced, deadline-driven environment, with a collaborative and partnership mindset. Life at WPP Media & Benefits Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include 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 particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. We believe the best work happens when we're together, fostering creativity, collaboration, and connection. 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 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. #LI-Promoted Please read our Privacy Notice for more information on how we process the information you provide.", "summaryDescription" : "Associate Director, Analytics at WPP Media. Skills: Data science, Data engineering, ML/AI, Business intelligence", "postedDate" : "2026-06-14T20:04:21.286", "createdAt" : "2026-06-14T20:04:21.286", "lastUpdated" : "2026-06-16T06:59:51.263", "ingestTimestamp" : "2026-06-14T20:04:21.286", "mongoId" : "6a2c6c7c74d8ee00a0919231", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Modelling skills", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "68b706997fc9a711f0f6fe68", "title" : "Manager, Analytics, Sales Enablement & Insights", "company" : "ADCI", "industry" : "Data Science, Business Intel Engineer, Advertising", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Manager, Analytics, Sales Enablement & Insights in Bengaluru, India, adjusted for the technology industry and manager seniority." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T06:25:26.894", "fingerprint" : "7f44cb580eb8f8f4b5c3ef3b913212ad84b427b34cce963572e180a819bf3bdb", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3051449/apply", "externalId" : "6f9f3fca-75cf-47a3-b9b4-b9d414eafb07", "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" : 8, "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, Excel, Quicksight", "professionalSkills" : [ "Sales Enablement", "Business Intelligence", "Data Insights" ], "hardSkillsList" : [ "Data analysis", "BI solutions delivery", "People management" ], "softSkillsList" : [ "Leadership", "Mentoring", "Conflict resolution" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "BI solutions delivery", "level" : "intermediate" }, { "name" : "People management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Conflict resolution" } ], "majorSkills" : "Analytics Management, Sales Insights, Team Leadership", "majorSkillsList" : [ "Analytics Management", "Sales Insights", "Team Leadership" ], "coreResponsibilities" : "Lead a team of analysts, Manage performance of individual contributors, Manage development of individual contributors, Manage delivery of projects by individual contributors, Ensure high-quality outputs, Set priorities for the team, Mentor team members, Manage stakeholder expectations, Build a high-performance team, Mentor a high-performance team, Lead with empathy, Solve problems for sales teams, Solve problems for advertisers, Solve problems for partners, Leverage Amazon's first party insights, Partner with third party vendors, Help advertisers optimize investment, Help advertisers grow investment, Help agencies optimize investment, Help agencies grow investment", "teamCollaboration" : "Global stakeholder management; Cross-geography stakeholders", "projectManagementSkills" : [ "Prioritization", "Delivery management" ], "domainKnowledge" : "Amazon Advertising; Marketing analytics", "domainList" : [ "amazon-advertising", "marketing-analytics" ], "domainSpecificKnowledge" : [ "Amazon Advertising", "Marketing analytics" ], "toolProficiency" : [ "SQL", "Python", "Excel", "Quicksight" ], "qualificationsBasic" : "Bachelor's degree in technical or quantitative field, 8+ years of experience in analytics or data-driven roles, 3+ years in people management, Experience managing delivery of technical analytics or BI solutions, Stakeholder management skills, Prioritization skills, Conflict resolution skills, Experience mentoring, Experience providing feedback, Experience fostering career growth, Familiarity with SQL, Familiarity with analytics tools", "qualificationsPreferred" : "MBA or Masters degree in business, analytics, computer science or similar field, Prior experience managing offshore analytics or shared service teams, Experience working in advertising, marketing analytics, or a related domain, Ability to influence senior stakeholders across geographies, Demonstrated leadership in fast-paced, global environment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Advertising operates at the intersection of e-commerce and advertising, offering a rich array of advertising solutions. We partner with advertisers to reach Amazon customers on Amazon.com, across other owned and operated sites like Prime Video and IMDb, on other high-quality sites across the web, and on devices. The Analytics & Insights (A&I) organization develops actionable insights using Amazon's unique data to influence how advertisers promote their businesses. Our insights and measurement solutions enhance their marketing decision-making, and play a critical role in arming our global agency customers with the tools to develop and sell Amazon-focused ideas to their clients. Key job responsibilities We are hiring for an Analytics Manager to lead a team of analysts supporting Amazon’s Advertising Analytics teams globally. This is a people management role, responsible for the performance, development, and delivery projects by individual contributors. You will be accountable for ensuring high-quality outputs, setting priorities, mentoring team members, and managing stakeholder expectations. The ideal candidate is a servant-leader with strong technical and analytical acumen, team-building skills, and global stakeholder management experience. You will build and mentor a high performance team, and lead with empathy. About the team We are the Analytics & Insights team within the global Amazon Ads business. We solve problems for our sales teams, advertisers and partners by leveraging Amazon's rich first party insights and partnering with third party vendors (if needed). We help advertisers and agencies optimize and grow their investment on Amazon Ads. Basic Qualifications: - Bachelor’s degree in a technical or quantitative field - 8+ years of experience in analytics or data-driven roles, with 3+ years in people management - Experience managing delivery of technical analytics or BI solutions - Strong stakeholder management, prioritization, and conflict resolution skills - Experience mentoring, providing feedback, and fostering career growth - Familiarity with SQL and analytics tools (e.g.,Python, Excel, Quicksight) to guide and review team outputs Preferred Qualifications: - MBA or Masters degree in business, analytics , computer science or similar field - Prior experience managing offshore analytics or shared service teams - Experience working in advertising, marketing analytics, or a related domain - Ability to influence senior stakeholders across geographies - Demonstrated leadership in fast-paced, global environment 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" : "Manager, Analytics, Sales Enablement & Insights at ADCI. Skills: Analytics Management, Sales Insights, Team Leadership. Lead a team of analysts. 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We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp is seeking a Director of Performance Marketing to lead and scale our high-performing acquisition engine. You will own the strategy and execution across paid search, paid social, direct mail, affiliates, creative experimentation, and emerging channels. This role requires a balance of analytical rigor, creativity, and strategic leadership to optimize Ramp’s substantial marketing investment for maximum impact. As a key member of the Growth leadership team, you’ll manage and mentor a team of channel experts, drive efficiency at scale, and ensure Ramp stays ahead of the curve in performance marketing innovation. WHAT YOU'LL DO - Lead Ramp’s multi-channel performance marketing strategy across paid search, paid social, affiliates, direct mail, creative experimentation, and more. - Manage and mentor a team of channel leads, fostering a culture of accountability, creativity, and data-driven decision-making. - Design and implement frameworks for budget allocation, attribution, and forecasting to maximize ROI across channels. - Partner with Analytics, Product, and Finance to measure performance, optimize spend, and ensure strong alignment with company growth goals. - Drive systematic creative experimentation, working closely with design and content teams to improve conversion rates. - Identify, test, and scale emerging performance channels and technologies to future-proof Ramp’s growth. - Report on key performance metrics and provide insights to executive leadership, ensuring transparency and strategic alignment. WHAT YOU NEED - 8+ years of performance marketing experience, with at least 3+ years managing a team in high-growth B2B, SaaS, or fintech. - Proven success scaling large performance budgets ($10M+ annually) across multiple channels. - Strong analytical skills with mastery of attribution, incrementality testing, and ROI measurement. - Demonstrated creativity in campaign strategy and a willingness to challenge conventional approaches. - Exceptional leadership and people management skills with a track record of building and developing teams. - Strong business acumen and judgment to balance efficiency with bold growth bets. NICE-TO-HAVES - Experience in fintech, payments, or SaaS with long sales cycles. - Exposure to influencer/UGC, connected TV, or other frontier channels. - MBA or advanced degree in quantitative or business discipline. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) • Flexible PTO • Unlimited AI token usage • Centralized home-office equipment ordering • Health and wellness stipend • Budget for intra-office travel • Weekly coffee stipend UNITED STATES • 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents • One Medical annual membership • 401(k), including employer match on contributions made while employed by Ramp • Fertility HRA (up to $10,000 per year) • Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay • Pet insurance • In-office perks: lunch, snacks, drinks, and more • Relocation support to NYC or SF (as needed) CANADA • Group medical, dental, and vision coverage through Sun Life • Life, AD&D, and disability coverage • Fertility drug coverage (up to $4,000 lifetime) • Group Retirement Plan with employer match (RRSP + DPSP) • Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay • Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM • Private medical insurance through Freedom Elite • Virtual GP and at-home care via eMed x Livi • Workplace pension through Penfold, with salary sacrifice option • Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf. OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process. Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice", "summaryDescription" : "Director, Performance Marketing at Ramp. Skills: Performance marketing, Acquisition engine, Channel management. Lead multi-channel performance marketing strategy. 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This role will provide high-level administrative and strategic support to two Directors. This is a critical position that requires strong organizational skills, excellent judgment, attention to detail, and the ability to manage complex schedules and prioritize competing demands. The Executive Assistant acts as a gatekeeper and interface between the Directors and internal/external stakeholders, ensuring efficient and effective communication. This position requires a proactive, solutions-oriented mindset and the ability to anticipate the needs of the Directors. Attention to detail and strong organizational skills are essential to manage the complex calendars and priorities of the two Directors. You will have strong communication skills, a strong ability to action when needed, and demonstrate effective problem-solving skills. Additionally, to be successful in this role, you will need to build and maintain effective working relationships, maintain a comprehensive awareness of the organization, and become the \"go-to\" person for support. You will thrive in a dynamic, fast-paced environment, adapt quickly to changing priorities, and have excellent communication skills to effectively liaise with different teams across Amazon. This role requires five (5) days a week in office. Key job responsibilities - Manage the executives' complex calendars, including scheduling meetings, travel arrangements, and other commitments - Serve as the primary point of contact for the executives, fielding inquiries and requests from internal teams and external partners - Strong attention to detail and the ability to ensure the integrity of financial and operational data - Leverage technology to improve controllership processes - Prepare and proofread high-level communications, presentations, and other documents on behalf of the executives - Proactive problem-solving to help identify and address controllership gaps - Provide administrative support to cross-functional teams stakeholders around shared goals - Conduct research, data analysis, and other administrative tasks to support the executives' work - Track and help drive completion of key deliverables and follow up on outstanding items - Anticipate the executives' needs and take initiative to address issues proactively - Maintain strict confidentiality regarding sensitive information and decision-making processes - Manage expense reconciliation and tracking - Drive key team activities, meetings, and planning, including but not limited to All Team Meetings, offsites, morale events, annual planning, and performance reviews A day in the life *Team Culture* Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences. *Work/Life Balance* Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work. *Mentorship and Career Growth* Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. Basic Qualifications: - 2+ years of senior level leadership support, or 1+ years of Amazon experience - High school or equivalent diploma - Experience with Microsoft Office products and applications - Experience with executive level calendar management Preferred Qualifications: - 3+ years of senior level leadership support experience - Experience prioritizing and handling multiple assignments at any given time while maintaining commitment to deadlines - Experience in a fast-paced, high-tech company - Experience with Amazon Space Planning 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 $50,000/year in our lowest geographic market up to $107,100/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" : "Executive Assistant, Insights, Planning, Analytics, and Technology (IPAT) at Amazon.com Services LLC. Skills: Executive support, Calendar management, Stakeholder communication. Manage executive calendars. 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"Anomaly detection", "level" : "intermediate" }, { "name" : "Data residency", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Revenue growth", "level" : "intermediate" }, { "name" : "Career development", "level" : "intermediate" }, { "name" : "Technical excellence", "level" : "intermediate" }, { "name" : "Business impact", "level" : "intermediate" }, { "name" : "Customer journey", "level" : "intermediate" }, { "name" : "Business domain owners", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Data science", "level" : "intermediate" }, { "name" : "Unified data analytics", "level" : "intermediate" }, { "name" : "Data technology", "level" : "intermediate" }, { "name" : "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. Oura is not responsible for any fees related to unsolicited resumes.", "summaryDescription" : "Director, Data Analytics at Ōura. Skills: Data analytics leadership, Analytics platform, Data lifecycle management, Data strategy execution. Drive alignment of analytics standards. Lead high-performing analytics teams", "postedDate" : "2026-06-14T08:44:20.731", "createdAt" : "2026-06-14T08:44:20.731", "lastUpdated" : "2026-06-15T08:42:58.885", "ingestTimestamp" : "2026-06-14T08:44:20.731", "mongoId" : "6a2c934074d8ee00a0987b3d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 300000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "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", "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 domains", "Data pipelines", "Data lakes", "Lakehouses", "Self-serve analytics", "Data infrastructure", "AI agents", "Automated insights", "Predictive analytics", "Anomaly detection", "Data residency", "Data management", "Performance optimization", "Revenue growth", "Career development", "Technical excellence", "Business impact", "Customer journey", "Business domain owners", "Data science", "Unified data analytics", "Data technology", "Platform unification", "Data processing", "Data storage", "Terabyte scale", "Petabyte scale", "Leadership", "Mentoring", "Data analytics leadership", "Analytics platform", "Data lifecycle management", "Data strategy execution", "Data strategy", "Business metrics", "Analytics standards", "Metrics definition", "Roadmap development", "Stakeholder management", "Business operations", "Cross-functional collaboration", "Privacy compliance", "Security requirements", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "ThoughtSpot", "Looker", "SQL", "Databricks", "BigQuery", "Redshift", "VertexAI", "AWS", "GCP", "Azure", "S3" ], "skillCount" : 92, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a21770d74d8ee00a0c1ba39", "title" : "SDE-II, AI Core Infra - AI Analytics and Insights", "company" : "ADCI", "industry" : "Software Development, Advertising", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for SDE-II in Bengaluru, India, adjusted for mid-seniority and technology industry." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T05:51:21.918", "fingerprint" : "371ada8374f4ce90a8134beb6044ec338491e49d186dd75df17adae08e1fbb80", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10435578/apply", "externalId" : "79a35f46-1a86-44b5-939b-41b83b4109c4", "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" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Generative AI, LLMs, RAG, NLP, NLU, SQL, Python, C#, C++, Java, Perl, Object Oriented Design", "professionalSkills" : [ "System design", "Architecture", "Data engineering", "Conversational interfaces", "AI-powered systems" ], "hardSkillsList" : [ "Data structures", "Algorithms", "Large-scale computing", "Vector stores", "Embedding pipelines", "Metadata indexing", "Prompt management", "Model routing", "Multi-agent orchestration", "Chain-of-thought workflows", "SQL generation", "Metadata auto-curation" ], "softSkillsList" : [ "Ownership", "Ambiguity" ], "hardSkills" : [ { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Large-scale computing", "level" : "intermediate" }, { "name" : "Vector stores", "level" : "intermediate" }, { "name" : "Embedding pipelines", "level" : "intermediate" }, { "name" : "Metadata indexing", "level" : "intermediate" }, { "name" : "Prompt management", "level" : "intermediate" }, { "name" : "Model routing", "level" : "intermediate" }, { "name" : "Multi-agent orchestration", "level" : "intermediate" }, { "name" : "Chain-of-thought workflows", "level" : "intermediate" }, { "name" : "SQL generation", "level" : "intermediate" }, { "name" : "Metadata auto-curation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership" }, { "name" : "Ambiguity" } ], "majorSkills" : "Generative AI, Conversational AI, Data Engineering, LLM Integration", "majorSkillsList" : [ "Generative AI", "Conversational AI", "Data Engineering", "LLM Integration" ], "coreResponsibilities" : "Design scalable services, Build scalable services, Engineer RAG architectures, Build embedding pipelines, Optimize vector stores, Integrate LLMs, Operationalize LLMs, Build automated evaluation, Design feedback loops, Develop SQL generation, Develop SQL validation, Build metadata auto-curation tools, Productionize NLP/NLU models, Integrate NLP/NLU models, Own systems end-to-end, Monitor production environment, Improve prompt templates", "teamCollaboration" : "Applied scientists; Product managers; Fellow engineers", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Advertising data lake; Conversational AI; Generative AI; Data retrieval; Large-scale computing; Multi-tiered systems; Embedded systems; Distributed software", "domainList" : [ "advertising-data-lake", "conversational-ai", "generative-ai", "data-retrieval", "large-scale-computing", "multi-tiered-systems", "embedded-systems", "distributed-software" ], "domainSpecificKnowledge" : [ "Advertising data lake", "Conversational AI", "Generative AI", "Data retrieval", "Large-scale computing", "Multi-tiered systems", "Embedded systems", "Distributed software" ], "toolProficiency" : [ "Amazon Web Services" ], "communicationSkills" : "Design reviews", "innovationCreativity" : "Invent new experiences", "problemSolvingSkills" : "Troubleshooting", "outcomesObjectives" : "Generate insights faster; Ensure accurate retrieval; Drive system improvement; Ensure trusted outputs; Maintain metadata catalog", "qualificationsBasic" : "3+ years professional software development, 2+ years system design/architecture, 1+ years large-scale software development, 1+ years Object Oriented Design, Experience with C#, C++, Java, or Perl, Programming with one language", "qualificationsPreferred" : "4+ years full SDLC experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising solutions that drive product discovery and sales. We deliver billions of ad impressions every single day on behalf of our advertisers and generate massive volumes of data across the advertising lifecycle. We are building a conversational AI assistant that empowers data engineers, analysts, and business stakeholders to interact with our vast advertising data lake through natural language. Using state-of-the-art generative AI, SpektrBot enables teams to generate insights faster by translating natural language queries into accurate, trusted data retrievals, eliminating the friction between questions and answers. As an SDE II on this team, you will be at the center of designing, building, and scaling the systems that power this conversational AI experience. You will architect robust backend services, build reliable integrations with large language models (LLMs), develop retrieval-augmented generation (RAG) pipelines, and engineer the feedback loops that allow our system to continuously evaluate and improve itself. You will work alongside applied scientists, product managers, and fellow engineers in a fast-paced, high-ownership environment where your contributions directly shape the product and influence how thousands of internal customers interact with data. This is a rare opportunity to build a 0-to-1 product at Amazon's scale, one that sits at the intersection of generative AI, data engineering, and conversational interfaces. If you are passionate about building production-grade AI-powered systems, thrive in ambiguity, and want to see your work used every day by teams across Amazon Advertising, we'd love to talk to you. At Amazon an SDE can expect to design flexible and scalable solutions, and work on some of the most complex challenges in large-scale computing by utilizing your skills in data structures, algorithms, and object oriented programming. Coming to Amazon gives you the opportunity to work on a small development team in one of our many organizations; Amazon Web Services, ecommerce Services, Kindle, Marketplace, Operations, Platform Technologies and Retail. Key job responsibilities - Design and build scalable services that power SpektrBot's conversational AI platform, including query orchestration, context management, session handling, and response generation pipelines - Engineer RAG architectures — build and optimize retrievers, vector stores, embedding pipelines, and metadata indexing systems to ensure accurate and contextually relevant data retrieval from our advertising data lake - Integrate and operationalize LLMs — build the infrastructure for prompt management, model routing, multi-agent orchestration, and chain-of-thought workflows that enable natural, multi-turn conversations - Build automated evaluation and feedback loops — design systems that continuously measure response accuracy, detect regressions, and feed corrections back into the system to drive improvement over time - Develop SQL generation and validation pipelines — engineer the end-to-end flow from natural language intent to generated SQL, including guardrails, query validation, and result verification to ensure trusted outputs - Build tooling for metadata auto-curation — create LLM-powered tools that automatically enrich, classify, and maintain the metadata catalog that underpins accurate data retrieval - Collaborate with applied scientists to productionize NLP/NLU models and integrate them into the bot's overall architecture - Own systems end-to-end — from design through deployment, monitoring, alarming, and operational excellence in a production environment serving internal customers at scale A day in the life You might start by reviewing your automated evaluation dashboard, investigating a flagged drop in SQL generation accuracy and shipping a fix. After lunch, you pair with an applied scientist to integrate a new intent classification model into the orchestration layer, ensuring graceful fallback behavior. Later, you lead a design review for a multi-agent architecture that breaks complex user questions into parallel sub-queries. You end the day improving prompt templates based on user feedback patterns. Every day brings a different problem, but the thread is always building AI-powered systems that are accurate, reliable, and delightful to use. About the team You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. 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 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 - Experience programming with at least one software programming language Preferred Qualifications: - 4+ 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 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" : "SDE-II, AI Core Infra - AI Analytics and Insights at ADCI. Skills: Generative AI, Conversational AI, Data Engineering, LLM Integration. Design scalable services. Build scalable services", "postedDate" : "2026-06-13T14:36:54.588", "createdAt" : "2026-06-13T14:36:54.588", "lastUpdated" : "2026-06-15T05:51:21.918", "ingestTimestamp" : "2026-06-13T14:36:54.588", "mongoId" : "6a21770d74d8ee00a0c1ba39", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10435578/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data structures", "Algorithms", "Large-scale computing", "Vector stores", "Embedding pipelines", "Metadata indexing", "Prompt management", "Model routing", "Multi-agent orchestration", "Chain-of-thought workflows", "SQL generation", "Metadata auto-curation", "Ownership", "Ambiguity", "Generative AI", "Conversational AI", "Data Engineering", "LLM Integration", "System design", "Architecture", "Data engineering", "Conversational interfaces", "AI-powered systems", "Agile", "Advertising data lake", "Data retrieval", "Multi-tiered systems", "Embedded systems", "Distributed software", "Amazon Web Services" ], "skillCount" : 30, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69e104402beec4dd3def24b4", "title" : "Consultant, Analytics & Insights (A&I)", "company" : "Amazon Advertising LLC", "industry" : "Sales, Advertising, Account Management, Professional Services", "salary" : { "min" : 50000.0, "max" : 195400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T03:52:31.965", "fingerprint" : "6f6f0e42c21869f8faa98e3b546b7bb3c0c64d5af74cb3c39ee7bcc0c203efa4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10387357/apply", "externalId" : "c0951083-2650-408a-8dc7-2a643d3c0c35", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Data analysis", "Analytics", "Insights", "Advertising strategy", "Marketing initiatives", "Business analysis" ], "hardSkillsList" : [ "Data modeling", "Statistical analysis", "Query writing", "Presentation design", "Presentation delivery" ], "softSkillsList" : [ "Storytelling" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Query writing", "level" : "intermediate" }, { "name" : "Presentation design", "level" : "intermediate" }, { "name" : "Presentation delivery", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Storytelling" } ], "majorSkills" : "Data analysis, Analytics, Insights, Advertising", "majorSkillsList" : [ "Data analysis", "Analytics", "Insights", "Advertising" ], "coreResponsibilities" : "Deliver insights for advertisers, Be analytical consultant for advertisers, Provide relevant insights, Advance relationships with senior decision makers, Establish oneself as go-to expert, Develop expertise in Amazon metrics, Evolve how we analyze data, Evolve how we communicate data, Drive decisions to increase data ease of use, Drive decisions to increase data availability, Conduct analyses leveraging untapped datasets, Write documents with recommendations, Influence how partners operate", "teamCollaboration" : "Work with sales; Work with product; Work with retail; Work with business partners; Work with internal teams; Work with external partners; Work with partner teams", "domainKnowledge" : "Amazon Advertising; Ecommerce advertising; Performance advertising; Marketing decision-making", "domainList" : [ "amazon-advertising", "ecommerce-advertising", "performance-advertising", "marketing-decision-making" ], "domainSpecificKnowledge" : [ "Amazon Advertising", "Ecommerce advertising", "Performance advertising", "Marketing decision-making" ], "communicationSkills" : "Storytelling; Presentations; Written communication; Verbal communication", "documentationSkills" : "Write documents", "problemSolvingSkills" : "Data-driven insights; Actionable recommendations", "outcomesObjectives" : "Drive advertiser businesses forward; Improve advertiser campaign effectiveness; Unlock business opportunities; Increase data ease of use; Increase data availability", "qualificationsBasic" : "5+ years client-facing data analysis, 3+ years consulting experience, 3+ years advertising experience, Advanced SQL, Write complex SQL queries, Translate technical analysis to insights, Run advanced statistical modelling with Python, Excellent data driven storytelling, Create compelling presentations, Deliver compelling presentations, Excellent organizational skills, Excellent interpersonal skills, Excellent written communication skills, Excellent verbal communication skills", "qualificationsPreferred" : "Master's degree or above, Experience with advertising publishers, Experience with marketing agencies, Experience with creative agencies, Experience in performance advertising role, Managed significant complexity challenges, Managed scaling challenges", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Advertising exists at the intersection of marketing and ecommerce and offers advertisers a rich array of innovative advertising solutions across Amazon owned properties, as well as third party properties Amazon operates. We believe that advertising, when done well, can greatly enhance the value of the customer experience and generate a positive return on investment for our advertising partners. We are currently looking for a highly skilled and motivated consultant, Analytics & Insights to join the team. This role is a key member of the Customer Success Team at Amazon Advertising, working with sales, product, retail and other Amazon business partners to analyze and improve advertisers’ performance on Amazon, in support of their marketing initiatives. Consultants, Analytics & Insights work with Amazon's unique data and translate it into high-quality and actionable insights and recommendations to improve the effectiveness of advertiser campaigns and unlock business opportunities. Day to day, the activities include analyzing metrics of success for a business or category, developing data-driven insights and recommendations and communicating recommendations in a clear and compelling fashion. Key job responsibilities • Deliver insights for some of the world’s largest advertisers to drive their businesses forward. • Be an analytical consultant for advertisers, by providing relevant insights that will be incorporated into upfront strategy discussions and negotiations. • Advance relationships with senior marketing decision makers (e.g. senior director, c-level) and establish oneself as go-to expert in at least one advanced analytical area of advertising. • Develop great expertise in Amazon’s proprietary metrics, working to constantly evolve how we analyze and communicate data-driven insights to our advertisers. • Drive decisions that increase the ease of use and availability of data to both internal teams and external partners. Conduct analyses which leverage previously untapped datasets. • Write documents with recommendations that influence how partners teams with Amazon Advertising operate, such as Account Management, Sales, or Product. About the team The Analytics & Insights (A&I) organization develops actionable insights using Amazon’s unique data to influence how advertisers promote their businesses. Our insights enhance their marketing decision-making, leading to them to be measurably more successful with Amazon. Basic Qualifications: - Experience translating technical aspects of analysis and metrics into actionable insights for the advertiser and both technical and non-technical stakeholders - Experience in advanced SQL & ability to write complex queries from scratch from multiple tables - Bachelor's degree plus 5+ years’ experience in client-facing data analysis roles. - 3+ years of consulting experience with a major consulting firm or 3+ years of advertising experience with a top advertiser (agency or client side). - Excellent data driven storytelling skills – you create and deliver compelling presentations with outstanding visuals to high level stakeholders. - Fluency with an Python – ability to run advanced statistical modelling and analysis with Python. - Excellent organizational, interpersonal, and communication skills (both written and verbal). Preferred Qualifications: - Experience with advertising publishers and marketing/creative agencies - Master's degree or above in marketing, advertising, business or equivalent - Experience in a performance advertising role where you managed significant complexity and scaling challenges. 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 - 144,500.00 - 195,400.00 USD annually", "summaryDescription" : "Consultant, Analytics & Insights (A&I) at Amazon Advertising LLC. Skills: Data analysis, Analytics, Insights, Advertising. Deliver insights for advertisers. Be analytical consultant for advertisers", "postedDate" : "2026-06-13T06:18:08.267", "createdAt" : "2026-06-13T06:18:08.267", "lastUpdated" : "2026-06-15T03:52:31.965", "ingestTimestamp" : "2026-06-13T06:18:08.267", "mongoId" : "69e104402beec4dd3def24b4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10387357/apply", "salaryAnnualMin" : 50000, "salaryAnnualMax" : 195400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Statistical analysis", "Query writing", "Presentation design", "Presentation delivery", "Storytelling", "Data analysis", "Analytics", "Insights", "Advertising", "Advertising strategy", "Marketing initiatives", "Business analysis", "Amazon Advertising", "Ecommerce advertising", "Performance advertising", "Marketing decision-making" ], "skillCount" : 17, "jobCategory" : "marketing", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6960822f0937eae70e9c7ff0", "title" : "Quality and Insights Manager", "company" : "Home Group", "salary" : { "min" : 40000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "Tyne and Wear-Newcastle upon Tyne-Newcastle upon Tyne (Strawberry Lane)", "locations" : [ "Tyne and Wear-Newcastle upon Tyne-Newcastle upon Tyne (Strawberry Lane)", "18.Jan.26, 11:59:00 PM", "242570, 242570, true" ], "timestamp" : "2026-06-15T11:57:45.075", "fingerprint" : "4b9f2cf4840138e705560c1bd8e964c5a6230bfec82b31df2e3b0287238c5c7d", "source" : "taleo", "language" : "en", "applyUrl" : "https://homegroup.taleo.net/careersection/ex/jobdetail.ftl?job=242570", "externalId" : "242570", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Newcastle upon Tyne", "state" : "Tyne and Wear", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "54.9738474,-1.6131572" } ], "locationText" : "Newcastle upon Tyne, Tyne and Wear, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Audit analysis", "Feedback analysis", "Action planning", "Team management", "Coaching support", "Training program management", "Performance improvement", "Process management", "Standards management", "Needs spotting", "Customer voice integration" ], "hardSkills" : [ { "name" : "Audit analysis", "level" : "intermediate" }, { "name" : "Feedback analysis", "level" : "intermediate" }, { "name" : "Action planning", "level" : "intermediate" }, { "name" : "Team management", "level" : "intermediate" }, { "name" : "Coaching support", "level" : "intermediate" }, { "name" : "Training program management", "level" : "intermediate" }, { "name" : "Performance improvement", "level" : "intermediate" }, { "name" : "Process management", "level" : "intermediate" }, { "name" : "Standards management", "level" : "intermediate" }, { "name" : "Needs spotting", "level" : "intermediate" }, { "name" : "Customer voice integration", "level" : "intermediate" } ], "majorSkills" : "Quality assurance, Customer insights, Team leadership, Continuous improvement", "majorSkillsList" : [ "Quality assurance", "Customer insights", "Team leadership", "Continuous improvement" ], "coreResponsibilities" : "Build quality assurance framework, Manage quality assurance framework, Drive excellent customer outcomes, Drive brilliant colleague experience, Turn checks into insights, Turn audits into insights, Turn feedback into insights, Suggest actions from insights, Manage coaches, Support coaches, Manage trainer, Support trainer, Ensure training programme is insight-driven, Ensure coaching support is insight-driven, Improve performance, Help leaders understand performance, Help teams understand performance, Drive continuous improvement culture, Keep processes fresh, Keep standards fresh, Spot training needs, Put support in place, Make customer voice central", "teamCollaboration" : "Work with leaders; Work with team; Work with L&D", "domainKnowledge" : "Customer service; Regulated setting", "domainList" : [ "customer-service", "regulated-setting" ], "domainSpecificKnowledge" : [ "Customer service", "Regulated setting" ], "communicationSkills" : "Share feedback", "continuousLearning" : "Grow career support; Learning support", "innovationCreativity" : "Shape something new", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "outcomesObjectives" : "Drive changes that matter; Improve customer experiences; Ensure right service first time", "qualificationsBasic" : "Line management experience, Contact centre experience, Customer service environment experience, Quality management qualification, Auditing qualification, Equivalent experience in setting up quality assurance, Equivalent experience in managing quality assurance, Analytical skills, Problem-solving skills, Clear timely feedback skills, Communication skills, Influencing skills, Collaborative approach, Passion for coaching, Helping others grow, Build something new, Take people on journey", "qualificationsPreferred" : "Coaching and training a new team experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Quality & Insights Manager Newcastle upon Tyne, hybrid working minimum 2 days office based per week Permanent, full time (37.5 hpw) Earn £40,000 pa, with bril liant benefits! ‘Previous applicants need not apply’ Home, a place where you belong You know that great service doesn’t happen by accident. It’s built on care, consistency and a clear picture of how we’re doing. If you’ve ever thought “there’s a better way to do this” and wanted the space to make it happen, this could be your moment. We’re looking for someone who can bring quality assurance to life, not just in processes, but in how our colleagues work together, learn and grow. With experience of coaching and training a new team. You’ll be the person who spots what’s going well, sees where we can improve, and turns that into insight that will drive changes that really matter for our customers. You’ll join our friendly Customer Service Quality and Improvement team, where we work hard to make sure every customer gets the right service, first time. You’ll have the freedom to dig deep into the details to share insights and manage the actions that drive better customer experiences. What you’ll do Build and manage a simple, consistent quality assurance framework that works for everyone and drives excellent customer outcomes and brilliant colleague experience. Turn checks, audits and feedback into clear insights and suggested actions Manage and support a team of coaches and a trainer, ensuring the training programme and coaching support are insight-driven and focused on improving performance Work with leaders and team to help them understand how we are performing and drive a continuous improvement culture within the team Keep our processes and standards fresh, relevant and fit for the future Spot training needs quickly and working with our trainer along with L&D to put the right support in place Make sure the customer’s voice is at the heart of every change we make Why choose us Imagine finishing each day knowing you’ve made a real difference in our customers’ lives. That’s exactly what you’ll do here, working for a top 10 Great Place to Work in the UK! You’ll have space to grow, support to learn, and the chance to shape something brand new. What you bring Strong line management experience. Experience of working in a contact centre or customer service environment. A qualification in quality management, auditing, or equivalent experience in setting up or managing quality assurance in a regulated setting A curious mind with great analytical and problem-solving skills The confidence to share clear timely feedback that drives action Strong communication and influencing skills with a collaborative approach Passion for coaching and helping others grow Enthusiasm to build something new and take people on the journey with you Job details You’ll work Monday to Friday This is a hybrid role, and you’ll spend a minimum of 2 days in our One Strawberry Lane office, and the rest working from home A place where you belong We do our best work when we can be ourselves. That’s why inclusion and wellbeing shape our policies and daily practice. Our diversity networks, Multicultural, LGBTQIA+, Women, and Disability, along with peers and allies, help us thrive. Together we make Home Group a great place to work ! What’s in it for you? Enjoy 34 days leave (this includes bank holidays and a \"me day\"!), and the option to buy five days more (subject to criteria). 2 days paid volunteering Generous pension and 3x salary life insurance. Check more benefits online! Save up to £1140 yearly with our health cash plan, covering dental, optical, and therapies. 800+ discounts or cashback on shopping, holidays, and more. We’re a top 10 UK Wellbeing employer; our tools and support are here when you need them! Grow your career with us, we’ll help you take the next step. Ready to join us? Click APPLY NOW to see the Quality & Insights Manager job description , learn about us , and for help to apply . Don’t wait, roles can close early, so apply and take the first step towards making a difference. To let us know how we can help you shine in our process, email recruitment@homegroup.org.uk to discuss your reasonable adjustments. Newcastle upon Tyne (Strawberry Lane)", "summaryDescription" : "Quality and Insights Manager at Home Group. Skills: Quality assurance, Customer insights, Team leadership, Continuous improvement. Build quality assurance framework. Manage quality assurance framework", "createdAt" : "2026-06-14T01:52:38.205", "lastUpdated" : "2026-06-15T11:57:45.075", "ingestTimestamp" : "2026-06-14T01:52:38.205", "mongoId" : "6960822f0937eae70e9c7ff0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Audit analysis", "Feedback analysis", "Action planning", "Team management", "Coaching support", "Training program management", "Performance improvement", "Process management", "Standards management", "Needs spotting", "Customer voice integration", "Quality assurance", "Customer insights", "Team leadership", "Continuous improvement", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Customer service", "Regulated setting" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2ca5e274d8ee00a09b8771", "title" : "Director of Analytics", "company" : "Collective Health", "industry" : "Healthcare", "salary" : { "min" : 200000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-15T07:17:58.865", "fingerprint" : "e063e73d7bd833010aa94c5c5ae49671e34f6fd2268ea059b019998fbd3e9117", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.collectivehealth.com/apply/?gh_jid=7994891", "externalId" : "7994891", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "SQL, Dbt, Looker, Snowflake, Databricks, BigQuery, Airflow, LLMs, RAG architecture, Generative AI", "professionalSkills" : [ "Strategic leadership", "Client reporting", "Analytics strategy", "Roadmap development", "Data analysis", "AI-informed analytics", "Data management", "Claims processing", "Team leadership", "Stakeholder management", "Cross-functional partnership", "Strategic thinking", "Hands-on execution" ], "hardSkillsList" : [ "Healthcare data expertise", "Claims adjudication accuracy", "Payment integrity", "Data modelling", "Statistical analysis" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Healthcare data expertise", "level" : "intermediate" }, { "name" : "Claims adjudication accuracy", "level" : "intermediate" }, { "name" : "Payment integrity", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Analytics strategy, Client reporting, AI-informed analytics, Data management", "majorSkillsList" : [ "Analytics strategy", "Client reporting", "AI-informed analytics", "Data management" ], "coreResponsibilities" : "Own analytics strategy and roadmap, Build reporting infrastructure, Deliver automated reporting infrastructure, Align analytics initiatives with business priorities, Serve as analytics representative in client conversations, Oversee analysis of claims data, Oversee analysis of member data, Oversee analysis of benefits data, Surface trends and inefficiencies, Surface opportunities for cost savings, Surface opportunities for process improvement, Shift analytics function to proactive, Surface insights informing product strategy, Surface insights informing CS strategy, Surface insights informing executive decision-making, Improve claims adjudication accuracy, Reduce denials, Enhance payment integrity, Drive AI-informed analytics, Leverage LLMs for insights, Leverage RAG architecture for insights, Leverage generative AI tools for insights, Deliver smarter insights, Deliver faster insights", "teamCollaboration" : "Partner with Customer Success; Partner with Customer Experience; Partner with Data Engineering; Partner with senior leadership; Partner with Product; Partner with Operations; Partner with Engineering; Client conversations; Client QBRs; Client escalations", "projectManagementSkills" : [ "Roadmap planning", "Dependency management" ], "domainKnowledge" : "Healthcare data; Claims processing; Value-based care; Population health; Machine learning models; Predictive analytics", "domainList" : [ "healthcare-data", "claims-processing", "value-based-care", "population-health", "machine-learning-models", "predictive-analytics" ], "domainSpecificKnowledge" : [ "Healthcare data", "Claims processing", "Value-based care", "Population health", "Machine learning models", "Predictive analytics" ], "toolProficiency" : [ "Looker", "SQL", "Dbt", "Snowflake", "Databricks", "BigQuery", "Airflow", "Google Vertex", "OpenAI" ], "communicationSkills" : "Client presentations; Executive presentations", "innovationCreativity" : "AI-informed analytics; Generative AI tools", "problemSolvingSkills" : "Root cause analysis; Data-driven decision making", "outcomesObjectives" : "Deliver automated, scalable reporting infrastructure; Improve claims adjudication accuracy; Reduce denials; Enhance payment integrity; Deliver smarter, faster insights at scale", "qualificationsBasic" : "10+ years in healthcare analytics, 3+ years in claims processing analytics, 3+ years leading analytics teams, Proven transformation experience, Technical fluency in modern data stack, AI / ML literacy, Client-facing experience, Startup operating experience, People leadership depth, Bachelor's degree in quantitative field", "qualificationsPreferred" : "Master's preferred, Experience with value-based care analytics, Experience with population health, Exposure to machine learning models, Familiarity with data observability tooling", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At Collective Health, we’re transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology, compassionate service, and world-class user experience design. About the Role We are looking for a Director of Analytics to lead our healthcare analytics function through a pivotal transformation. This is not a steady-state management role — we are modernizing our client reporting infrastructure from the ground up, and you will own that mandate from vision to delivery. You will lead a team of analysts, partner closely with Customer Success, Customer Experience, and Data Engineering, and serve as the primary analytics thought partner to our internal and external stakeholders — including direct engagement with clients. The right person brings deep healthcare data expertise, a builder's mindset, and the credibility to earn trust with both technical teams and business partners quickly. This role sits at the center of how Collective Health uses data to serve its clients. Done well, it changes how our clients experience their benefits — and how our internal teams make decisions. What you’ll do: Strategic Leadership Own the analytics strategy and roadmap — not just maintain it; build it from a clear-eyed assessment of current state and a sharp view of where the function needs to go Lead Client Reporting 2.0: audit what exists, design a modern replacement, and deliver an automated, scalable reporting infrastructure that clients trust and CS can stand behind Collaborate with senior leadership across Product, Operations, Engineering, Customer Success, and Customer Experience to align analytics initiatives with business priorities Serve as a direct partner and analytics representative in client conversations, QBRs, and escalations — alongside CS, not behind them Analytics Oversee end-to-end analysis of claims, member, and benefits data to surface trends, inefficiencies, and opportunities for cost savings or process improvement Shift the analytics function from reactive (answering requests) to proactive — surfacing insights that inform product, CS strategy, and executive decision-making before someone has to ask Lead initiatives to improve claims adjudication accuracy, reduce denials, and enhance payment integrity Drive AI-informed analytics — leveraging LLMs, RAG architecture, and generative AI tools to deliver smarter, faster insights at scale Data Management this is required, not preferred 10+ years in healthcare analytics with 3+ years in claims processing analytics and 3+ years leading analytics teams Proven transformation experience — has modernized or built an analytics function from scratch, not just managed inherited infrastructure Technical fluency in the modern data stack — Looker (or equivalent BI platform), SQL, dbt, cloud data warehouse (Snowflake, Databricks, or BigQuery), orchestration tooling (Airflow or equivalent) AI / ML literacy — working familiarity with LLMs, RAG architecture, and generative AI tools (Google Vertex, OpenAI, or equivalent); able to guide the team on applied AI use cases without needing to build models personally Client-facing experience — comfortable presenting data to non-technical external audiences, navigating client escalations, and representing analytics in high-stakes conversations Startup operating experience — has worked in a fast-moving, high-ambiguity environment; understands that speed, responsiveness, and ownership look different at a startup than at a large enterprise People leadership depth — has hired, developed, and when necessary managed out; gives direct feedback and does not let performance issues linger Bachelor's degree in a quantitative field (Statistics, Health Informatics, Computer Science, Actuarial Science, or similar); Master's preferred but not required Preferred: Experience with value-based care analytics or population health Exposure to machine learning models and predictive analytics in a healthcare setting Familiarity with data observability tooling (Monte Carlo, Great Expectations, or equivalent) Experience with master data management and data architecture at scale Key Competencies Delivery Accountability — owns a roadmap, manages dependencies, ships without needing constant oversight Strategic thinking paired with hands-on execution — knows when to lead from the front Strong communication across technical and non-technical audiences, including clients and executive leadership Healthcare domain credibility — earns trust quickly with CS, CX, and clients because they know the space Cross-functional partnership — builds relationships, influences without authority, and navigates competing priorities with grace Pay Transparency Statement This is a hybrid position based out of our San Francisco office, with the expectation of being in office at least two weekdays per week.#LI-hybrid The actual pay rate offered within the range will depend on factors including geographic location, qualifications, experience, and internal equity. In addition to the salary, you will be eligible for 550,000 stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/. San Francisco, CA Pay Range $200,000—$250,000 USD Why Join Us? Mission-driven culture that values innovation, collaboration, and a commitment to excellence in healthcare Impactful projects that shape the future of our organization Opportunities for professional development through internal mobility opportunities, mentorship programs, and courses tailored to your interests Flexible work arrangements and a supportive work-life balance We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Collective Health is committed to providing support to candidates who require reasonable accommodation during the interview process. If you need assistance, please contact recruiting-accommodations@collectivehealth.com. Privacy Notice For more information about why we need your data and how we use it, please see our privacy policy: https://collectivehealth.com/privacy-policy/.", "summaryDescription" : "Director of Analytics at Collective Health. Skills: Analytics strategy, Client reporting, AI-informed analytics, Data management. Own analytics strategy and roadmap. Build reporting infrastructure", "postedDate" : "2026-06-14T05:22:43.585", "createdAt" : "2026-06-14T05:22:43.585", "lastUpdated" : "2026-06-15T07:17:58.865", "ingestTimestamp" : "2026-06-14T05:22:43.585", "mongoId" : "6a2ca5e274d8ee00a09b8771", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 250000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Healthcare data expertise", "Claims adjudication accuracy", "Payment integrity", "Data modelling", "Statistical analysis", "Leadership", "Analytics strategy", "Client reporting", "AI-informed analytics", "Data management", "Strategic leadership", "Roadmap development", "Data analysis", "Claims processing", "Team leadership", "Stakeholder management", "Cross-functional partnership", "Strategic thinking", "Hands-on execution", "Roadmap planning", "Dependency management", "Healthcare data", "Value-based care", "Population health", "Machine learning models", "Predictive analytics", "Looker", "SQL", "Dbt", "Snowflake", "Databricks", "BigQuery", "Airflow", "Google Vertex", "OpenAI" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305117f292fd229cef9627", "title" : "Associate Director, US Commercial Insights", "industry" : "Analyst", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the US market baseline for a Director-level position in the Pharma industry, adjusted for a remote work mode and the specified seniority and experience level." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T12:36:38.199", "fingerprint" : "e39a0d3b87e448b99ea46092bacd7366059cde0971be41107267d1cc0cbce7ad", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/230ccb81-fbca-4424-8e8b-f70b2c4d36f9/apply", "externalId" : "230ccb81-fbca-4424-8e8b-f70b2c4d36f9", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Director", "professionalSkills" : [ "Commercial strategy", "Market development", "Go-to-market strategies", "Competitive intelligence", "Commercial execution" ], "hardSkillsList" : [ "Qualitative research", "Quantitative research", "Data synthesis" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "Qualitative research", "level" : "intermediate" }, { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Data synthesis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Commercial insights strategy, Market research, Actionable recommendations", "majorSkillsList" : [ "Commercial insights strategy", "Market research", "Actionable recommendations" ], "coreResponsibilities" : "Lead development of US commercial insights strategy, Lead execution of US commercial insights strategy, Identify key business questions, Translate questions into research plans, Partner with cross-functional teams, Deliver actionable insights, Shape market development strategies, Shape go-to-market strategies, Design primary market research, Oversee primary market research, Design secondary market research, Oversee secondary market research, Ensure methodological rigor, Ensure alignment with business objectives, Synthesize data from multiple sources, Build unified view of market, Build unified view of customer, Act as strategic advisor, Influence key decisions, Ensure insights are clearly communicated, Translate insights into recommendations, Drive measurable business impact, Manage vendor relationships, Contribute to oversight of budgets, Contribute to oversight of contracts, Contribute to oversight of external partnerships, Foster innovation in insights generation, Explore new methodologies, Explore new tools, Explore new data sources", "teamCollaboration" : "Cross-functional teams; Global and US teams", "domainKnowledge" : "Rare disease; Rheumatology; Pharmaceutical data; Commercial research", "domainList" : [ "rare-disease", "rheumatology", "pharmaceutical-data", "commercial-research" ], "domainSpecificKnowledge" : [ "Rare disease", "Rheumatology", "Pharmaceutical data", "Commercial research" ], "communicationSkills" : "Executive presentations", "continuousLearning" : "Professional development; Learning opportunities; Career growth", "innovationCreativity" : "Innovation in insights generation", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "Ability to travel up to 20%", "outcomesObjectives" : "Drive measurable business impact", "qualificationsBasic" : "Bachelor's degree, 7–10 years of experience, Expertise in primary market research, Deep understanding of research methodologies, Proven ability to integrate data, Demonstrated experience influencing senior stakeholders, Analytical, critical thinking, and problem-solving skills, Excellent communication skills", "qualificationsPreferred" : "Advanced degree preferred, Experience within rare disease and/or rheumatology, Experience with product launches, Familiarity with pharmaceutical data sources, Familiarity with vendors, Familiarity with commercial research tools", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Lead the development and execution of the US commercial insights strategy and learning agenda, identifying key business questions and translating them into structured research plans. Partner with cross-functional teams (commercial, medical, analytics, and market access) to deliver actionable insights that shape market development and go-to-market strategies. Design and oversee primary and secondary market research initiatives, ensuring methodological rigor and alignment with business objectives. Synthesize data from multiple sources, including market research, competitive intelligence, analytics, and field insights, to build a unified view of the market and customer landscape. Act as a strategic advisor to senior leadership, influencing key decisions on positioning, strategy, and commercial execution. Ensure insights are clearly communicated and translated into actionable recommendations that drive measurable business impact. Manage vendor relationships and contribute to oversight of budgets, contracts, and external partnerships in collaboration with internal stakeholders. Foster innovation in insights generation by exploring new methodologies, tools, and data sources to enhance decision-making capabilities. Requirements: Bachelor’s degree required; advanced degree preferred. 7–10 years of experience in pharmaceutical, biotechnology, healthcare insights, or related commercial functions. Strong expertise in primary market research, ideally within rare disease and/or rheumatology. Deep understanding of both qualitative and quantitative research methodologies and their application in commercial strategy. Proven ability to integrate complex, disparate data sets into clear strategic narratives and actionable recommendations. Demonstrated experience influencing senior stakeholders in a matrixed, cross-functional environment. Strong analytical, critical thinking, and problem-solving skills with a business-oriented mindset. Excellent communication skills, with the ability to translate insights into compelling recommendations for executive audiences. Experience with product launches in rare disease or specialty care is a plus. Familiarity with pharmaceutical data sources, vendors, and commercial research tools. Ability to travel up to 20%. Strong collaboration skills, with the ability to operate effectively across global and US teams. Benefits: Competitive salary aligned with experience and market benchmarks. Eligibility for short-term and long-term incentive programs. Comprehensive health, dental, and vision insurance coverage. Retirement savings plan and financial wellbeing support. Flexible working arrangements with hybrid/remote options depending on role needs. Opportunities to work in a high-growth, science-driven organization focused on rare diseases. Strong emphasis on professional development, learning, and career growth. Inclusive and collaborative culture with global cross-functional exposure. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Associate Director, US Commercial Insights. Skills: Commercial insights strategy, Market research, Actionable recommendations. Lead development of US commercial insights strategy. Lead execution of US commercial insights strategy", "postedDate" : "2026-06-15T10:26:15.737", "createdAt" : "2026-06-15T10:26:15.737", "lastUpdated" : "2026-06-16T12:36:38.199", "ingestTimestamp" : "2026-06-16T03:21:47.336", "mongoId" : "6a305117f292fd229cef9627", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Qualitative research", "Quantitative research", "Data synthesis", "Critical thinking", "Commercial insights strategy", "Market research", "Actionable recommendations", "Commercial strategy", "Market development", "Go-to-market strategies", "Competitive intelligence", "Commercial execution", "Rare disease", "Rheumatology", "Pharmaceutical data", "Commercial research" ], "skillCount" : 16, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c740a74d8ee00a093400b", "title" : "Assistant Director of Performance", "company" : "UHP", "industry" : "Human Performance", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Assistant Director of Performance in Education in Gentry, United States, adjusted for manager seniority and director-level experience." }, "location" : "Gentry (UHP Campus)", "locations" : [ "Gentry (UHP Campus)" ], "certifications" : [ "CSCS", "CPT" ], "timestamp" : "2026-06-16T01:24:42.476", "fingerprint" : "5e8748f796edc8ecad3ed1543aa96f261413bd4b4dbf200f992b00950bcaa55d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/uhp-unlockhumanpotential/9887d394-c27b-42d6-a920-667829f5e53a/application", "externalId" : "9887d394-c27b-42d6-a920-667829f5e53a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gentry", "state" : "Arkansas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.2675793,-94.4846602" } ], "locationText" : "Gentry, Arkansas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "Director", "professionalSkills" : [ "Coaching quality", "Team development", "Day-to-day execution", "Coaching excellence", "Maintaining standards", "High-quality experience", "Leadership", "Communication", "Programming", "Presence", "Recruiting", "Screening", "Onboarding", "Hiring", "Staff support", "Curriculum delivery", "Refinement", "Operations support" ], "hardSkillsList" : [ "Performance coaching", "Feedback delivery" ], "softSkillsList" : [ "Professional maturity" ], "hardSkills" : [ { "name" : "Performance coaching", "level" : "intermediate" }, { "name" : "Feedback delivery", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Professional maturity" } ], "majorSkills" : "Performance coaching, Team development, Leadership", "majorSkillsList" : [ "Performance coaching", "Team development", "Leadership" ], "coreResponsibilities" : "Lead day-to-day performance coaching environment, Ensure consistency in coaching quality, Ensure professionalism in coaching delivery, Observe coaching sessions, Provide actionable feedback, Address student issues with urgency, Address coaching issues with ownership, Conduct regular 1:1 development meetings, Develop coaches in communication, Develop coaches in programming, Develop coaches in leadership, Develop coaches in presence, Lead Graduate Assistant recruiting, Lead Graduate Assistant screening, Lead Graduate Assistant onboarding, Lead Graduate Assistant development, Support hiring of performance staff, Support onboarding of performance staff, Support curriculum delivery, Support curriculum refinement, Act as communication bridge, Support day-to-day execution, Support continuity across performance operations", "teamCollaboration" : "Leadership and coaching staff; Students, coaches, and leadership; Highly collaborative setting", "domainKnowledge" : "Human performance; Vocational training; Leadership development; Experiential education; Whole-human development", "domainList" : [ "human-performance", "vocational-training", "leadership-development", "experiential-education", "whole-human-development" ], "domainSpecificKnowledge" : [ "Human performance", "Vocational training", "Leadership development", "Experiential education", "Whole-human development" ], "communicationSkills" : "Direct feedback; Constructive feedback", "continuousLearning" : "Professional development support", "innovationCreativity" : "Shape and build new systems; Shape and build new programs", "specialRequirements" : "Varying shifts, Occasional weekends, Instructional coverage requirements, Daily interaction with students, Daily interaction with coaches, Daily interaction with leadership", "qualificationsBasic" : "Experience as performance coach with leadership responsibility, Relevant certification (CSCS, CPT, or equivalent)", "qualificationsPreferred" : "Experience leading or developing coaching teams, Experience working with military, veteran, or high-discipline populations, Bachelor's degree in Exercise Physiology or related field, Background in mentorship, instruction, or curriculum development", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About UHP UHP — Unlock Human Potential is building a new category of education centered around whole-human experiential vocational training, leadership development, and purpose-driven transformation. UHP serves veterans, transitioning service members, and purpose-driven individuals through immersive programs that integrate human performance, leadership, wellness, vocational skills, and personal growth. Our environment is fast-moving, mission-driven, and deeply experiential. We are not a traditional university, gym, military program, or trade school — we are building a scalable human development institution designed for the future workforce. ASSISTANT DIRECTOR OF PERFORMANCE THE OPPORTUNITY UHP is seeking an Assistant Director of Performance to serve as a frontline leader responsible for coaching quality, team development, and day-to-day execution across UHP’s performance programs. This individual will play a critical role in building coaching excellence, maintaining standards, and creating a consistent, high-quality experience for students and staff throughout our immersive programs. The ideal candidate is a leader and developer of people who thrives in a fast-moving, mission-driven environment and is excited to contribute to something larger than themselves. Key Responsibilities - Lead the day-to-day performance coaching environment - Ensure consistency in coaching quality, professionalism, and delivery - Observe coaching sessions and provide actionable feedback - Address student and coaching issues with urgency and ownership - Conduct regular 1:1 development meetings with Performance Coaches and Graduate Assistants - Develop coaches in communication, programming, leadership, and presence - Lead Graduate Assistant recruiting, screening, onboarding, and development - Support hiring and onboarding of performance staff - Support curriculum delivery and refinement - Act as a communication bridge between leadership and coaching staff - Support day-to-day execution and continuity across performance operations Qualifications & Experience REQUIRED QUALIFICATIONS - Experience as a performance coach with leadership responsibility - Strong communication skills with the ability to provide direct and constructive feedback - High ownership, accountability, and professional maturity - Ability to operate within a fast-paced, immersive onsite environment - Relevant certification (CSCS, CPT, or equivalent) PREFERRED QUALIFICATIONS - Experience leading or developing coaching teams - Experience working with military, veteran, or high-discipline populations - Bachelor's degree in Exercise Physiology or related field - Background in mentorship, instruction, or curriculum development SCHEDULE & ENVIRONMENT Schedule: Flexibility is required based on campus operational needs, including varying shifts, occasional weekends, and instrcuational coverage requirements across our 800+ acre environment. Work Environment: Fully onsite at 25200 Ranch Road, Gentry, AR 72734 within a fast-paced, immersive human performance and coaching environment. This role requires daily interaction with students, coaches, and leadership teams while operating in a highly collaborative setting. COMPENSATION & BENEFITS - Competitive compensation package - 401(k) - Health, dental, and vision insurance - Paid time off - Professional development support - Access to UHP performance and recovery facilities VETERANS, TRANSITIONING SERVICE MEMBERS, AND MILITARY SPOUSES ARE STRONGLY ENCOURAGED TO APPLY. WHY UHP At UHP, you are joining more than a company — you are helping build something designed to create lasting impact. You will have the opportunity to: - Contribute to a mission larger than yourself - Help shape and build new systems and programs - Work alongside passionate and purpose-driven people - Directly impact the lives of veterans and future generations - Be part of building the future workforce", "summaryDescription" : "Assistant Director of Performance at UHP. Skills: Performance coaching, Team development, Leadership. Lead day-to-day performance coaching environment. Ensure consistency in coaching quality", "createdAt" : "2026-06-14T17:42:54.357", "lastUpdated" : "2026-06-16T01:24:42.476", "ingestTimestamp" : "2026-06-14T17:42:54.357", "mongoId" : "6a2c740a74d8ee00a093400b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Performance coaching", "Feedback delivery", "Professional maturity", "Team development", "Leadership", "Coaching quality", "Day-to-day execution", "Coaching excellence", "Maintaining standards", "High-quality experience", "Communication", "Programming", "Presence", "Recruiting", "Screening", "Onboarding", "Hiring", "Staff support", "Curriculum delivery", "Refinement", "Operations support", "Human performance", "Vocational training", "Leadership development", "Experiential education", "Whole-human development", "CSCS", "CPT" ], "skillCount" : 28, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.92 }, { "id" : "6a305714f292fd229cf339cf", "title" : "Senior Social Insights Analyst", "company" : "OLIVER Agency", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Social Insights Analyst in Italy, adjusted for the marketing industry and remote work." }, "location" : "Pipeline", "locations" : [ "Pipeline" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:41:03.837", "fingerprint" : "ba25bf02c7f6a340852a3af129f29473271ba0bfe3bd3f320ac26809ea891158", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/oliver/jobs/8007126", "externalId" : "8007126", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Italy", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Italy", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, 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", "Machine learning", "AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "AI", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data Science, Data Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and implement data models, Build and maintain data pipelines, Perform statistical analysis, Develop machine learning models, Create business intelligence dashboards, Analyze large datasets, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Stakeholders", "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "5+ years of experience in data analytics, Proficiency in SQL, Bachelor's degree in Statistics, Computer Science, Mathematics, or a related quantitative field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Established in 2004, OLIVER is the world’s first and only specialist in designing, building, and running bespoke in-house agencies and marketing ecosystems for brands. We partner with over 300 clients in 40+ countries and counting. Our unique model drives creativity and efficiency, allowing us to deliver tailored solutions that resonate deeply with audiences. As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results. Role: Senior Social Insights Analyst Location: Italy (remote) ABOUT THE ROLE We are seeking a Research able to anticipate insight needs and build tailored responses Curious, growth‑minded, and eager to continually learn and push boundaries Confident working in fast‑paced, evolving environments with multiple stakeholders Collaborative, open‑minded team player Req ID: 17325 #LI-JP1 #LI-Hybrid #LI-director Our values shape everything we do: Be Ambitious to succeed  Be Imaginative to push the boundaries of what’s possible  Be Inspirational to do groundbreaking work  Be always learning and listening to understand  Be Results-focused  to exceed expectations  Be actively pro-inclusive and anti-racist across our community, clients and creations  OLIVER, a part of the Brandtech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected. All applicants shall be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, age, neurodivergence, disability status, or any other characteristic protected by local laws.   OLIVER has set ambitious environmental goals around sustainability, with science-based emissions reduction targets. Collectively, we work towards our mission, embedding sustainability into every department and through every stage of the project lifecycle.", "summaryDescription" : "Senior Social Insights Analyst at OLIVER Agency. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and implement data models. Build and maintain data pipelines", "postedDate" : "2026-06-15T23:17:46.048", "createdAt" : "2026-06-15T23:17:46.048", "lastUpdated" : "2026-06-16T08:41:03.837", "ingestTimestamp" : "2026-06-15T23:17:46.048", "mongoId" : "6a305714f292fd229cf339cf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data engineering", "Machine learning", "AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Data modeling", "Statistical analysis", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 43, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Marketing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca3ba74d8ee00a09ad61a", "title" : "Director Analytics WOTC", "company" : "Hasbro", "salary" : { "min" : 195900.0, "max" : 293900.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T11:34:37.247", "fingerprint" : "07db2de0bee418066371682c34ab16815fc9a771e19437e6ae9327fe510f00d3", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hasbro/jobs/4249909009", "externalId" : "4249909009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Renton", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "47.4799078,-122.2034496" } ], "locationText" : "Renton, Washington, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : true, "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. Hasbro's Direct-to-Consumer (DTC) platform connects fans worldwide through seamless, intelligent, and data-driven digital commerce experiences. As Director of Analytics, you will lead the vision, strategy, and execution that transform data into insights powering business growth, fan engagement, and operational excellence. You will build the unified analytics foundation that enables Hasbro's DTC-as-a-Service (DTCaaS) model, delivering shared infrastructure, standardized measurement, and actionable intelligence across Pulse, D&D Beyond, and future brand storefronts. This role blends strategic leadership with technical depth to ensure our data capabilities scale with the business and elevate fan experience, product performance, and operational efficiency. You will champion enterprise-wide data literacy, foster a culture of data-informed decision-making, and establish clear ROI frameworks to measure and communicate the impact of analytics investments. This role is a hybrid role based in Renton, WA with three days a week expected in office. What You'll Do Build the Analytics Foundation for DTCaaS Define the unified data architecture across our eCommerce platform and integrated systems. Establish cross-brand KPIs and measurement standards spanning sales, forecasting, fulfillment, customer behavior, and financial performance. Own the semantic layer, shared dashboards, and reporting assets used across all DTC brands. Lead instrumentation strategy to ensure consistent, high-quality events and insights across journeys (acquisition, checkout, campaigns, fulfilment, service). Implement data governance, privacy-by-design, and compliance frameworks in partnership with Legal, Security, and IT to ensure regulatory readiness and trusted insights. Deliver Scalable, Reusable Insights Products Build automated reporting and insight tools for leadership reviews, business insights, and operational actions. Develop dashboards and analytic products for sales, marketing, supply chain, finance, and operations. Introduce predictive modeling for sell-thru, inventory health, fulfillment operations, and customer lifetime value. Create self-service analytics capabilities that empower teams while maintaining governance and data quality. Define and operationalize analytics success metrics, such as insight adoption, forecast accuracy, and cycle-time reduction, to demonstrate business impact. Drive Operational Intelligence and Cost Transparency Develop models for commerce economics: shipping, payments, storage, returns, promotions, and platform cost allocation. Partner with Finance, Supply Chain, and Operations to enable data-driven planning and efficiency improvements. Improve business insights, merchandising insights, and logistics planning across regions. Integrate analytics outcomes into annual and long-range planning processes, securing executive sponsorship and linking initiatives directly to business goals. Lead and Grow a High-Performing Analytics Organization Lead business intelligence engineering and analytics talent across multiple domains. Mentor and develop team members while promoting excellence, collaboration, and innovation. Own the analytics intake, prioritization, roadmaps, and delivery and ensure visibility and alignment, and across functions. Partner closely with Product, Engineering, Marketing, Finance, Supply Chain, and CX to embed analytics into roadmap planning and decision-making. Influence leadership through clear storytelling, strategic framing, and data-driven recommendations. Shape the Future of Hasbro's Data & Analytics Capabilities Evaluate and integrate emerging technologies (AI/ML, predictive fulfillment, experimentation platforms, observability, automation). Define long-term principles and architectures that scale across brands, markets, and product lines. Champion DataOps, testing, lineage, and reliability standards to ensure trust in insights. Drive platform performance, cost governance, and continuous improvement across datawarehouses, BI tools, and event pipelines. Manage key vendor and technology partnerships to optimize platform performance, cost efficiency, and innovation across the data ecosystem. Minimum Qualifications 10+ years of experience in data analytics, BI, analytics engineering, or data engineering. 5+ years leading multi-disciplinary analytics or data teams. Proven ability to architect and scale data models, dashboards, forecasting tools, and analytics foundations for commerce or consumer-facing platforms. Strong understanding of how analytics informs commerce, marketing, finance, supply chain, customer experience, and operations. Experience partnering with engineering and product teams to influence data models, instrumentation, and system design. Exceptional communication skills, able to simplify complexity and influence executives and cross-functional leaders. Familiar with modern data platforms and analytics engineering concepts (Snowflake, dbt, Databricks, Tableau/Power BI), with the ability to guide technical teams and set standards without being hands-on. Demonstrated success delivering measurable business impact through analytics Preferred Qualifications Proven ability to influence senior stakeholders and drive alignment across functions to advance enterprise-wide analytics initiatives. Able to apply global privacy requirements (GDPR, CCPA, COPPA) when shaping data models, instrumentation plans, and reporting systems. Experienced designing insights and forecasting frameworks that scale across multiple brands and regions, accounting for differences in currency, tax/VAT, catalog structure, and fulfillment workflows. Background applying predictive analytics, or experimentation frameworks to strengthen demand planning, customer insight, and conversion optimization. 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 $195,900—$293,900 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" : "Director Analytics WOTC at Hasbro", "postedDate" : "2026-06-14T01:42:37.566", "createdAt" : "2026-06-14T01:42:37.566", "lastUpdated" : "2026-06-15T11:34:37.247", "ingestTimestamp" : "2026-06-14T01:42:37.566", "mongoId" : "6a2ca3ba74d8ee00a09ad61a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 195900, "salaryAnnualMax" : 293900, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2a486d74d8ee00a05df69c", "title" : "Senior Data Analytics Engineer - Data Insights", "company" : "Appfire", "salary" : { "min" : 150000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analytics Engineer in the Technology industry in the United States, adjusted for seniority and company size." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-14T09:53:17.771", "fingerprint" : "81d513fab4daf98e2ac74e286b2af700c159e968d9cdfc20b945f85f0846499e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/appfire/jobs/4702169005", "externalId" : "4702169005", "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" }, { "city" : "Tel Aviv", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "32.0852997,34.7818064" }, { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Chicago, Illinois, United States; Tel Aviv, Israel; United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, DBT, Snowflake, JSON", "professionalSkills" : [ "Data modeling", "Metric development", "Query optimization", "Data wrangling", "Stakeholder management", "Expectation setting", "Prioritization", "Development", "Delivery" ], "hardSkillsList" : [ "Data quality", "Impactful analytics engineering", "Self service analytics", "Advanced analytics", "Semantic layers", "Metrics layers", "Data warehousing concepts", "Problem-solving", "Analytical skills", "Project management", "Technical concepts explanation" ], "softSkillsList" : [ "Continuous learner", "Excellent communication", "Documentation skills" ], "hardSkills" : [ { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Impactful analytics engineering", "level" : "intermediate" }, { "name" : "Self service analytics", "level" : "intermediate" }, { "name" : "Advanced analytics", "level" : "intermediate" }, { "name" : "Semantic layers", "level" : "intermediate" }, { "name" : "Metrics layers", "level" : "intermediate" }, { "name" : "Data warehousing concepts", "level" : "intermediate" }, { "name" : "Problem-solving", "level" : "intermediate" }, { "name" : "Analytical skills", "level" : "intermediate" }, { "name" : "Project management", "level" : "intermediate" }, { "name" : "Technical concepts explanation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Continuous learner" }, { "name" : "Excellent communication" }, { "name" : "Documentation skills" } ], "majorSkills" : "Data modeling, DBT, SQL, Python", "majorSkillsList" : [ "Data modeling", "DBT", "SQL", "Python" ], "coreResponsibilities" : "Understand decision needs, Interface with Analytics Engineers, Interface with Data Engineers, Interface with Data Analysts, Interface with Business Partners, Architect data models, Build data models, Launch data models, Architect data pipelines, Build data pipelines, Launch data pipelines, Leverage DBT, Leverage Snowflake, Design metrics, Implement metrics, Design dimensions, Implement dimensions, Define best practices on metric development, Define best practices on dimension development, Define best practices on data model development, Share best practices on metric development, Share best practices on dimension development, Share best practices on data model development", "teamCollaboration" : "Analytics Engineers; Data Engineers; Data Analysts; Business Partners; Fellow Analytics Engineers; Cross-functional teams", "projectManagementSkills" : [ "SDLC", "Stakeholder management", "Expectation setting", "Prioritization", "Development", "Delivery" ], "domainKnowledge" : "Data warehousing concepts; Metrics layers; Semantic layers; Cloud Technologies", "domainList" : [ "data-warehousing-concepts", "metrics-layers", "semantic-layers", "cloud-technologies" ], "domainSpecificKnowledge" : [ "Data warehousing concepts", "Metrics layers", "Semantic layers", "Cloud Technologies" ], "toolProficiency" : [ "DBT", "Snowflake", "GIT", "BitBucket" ], "communicationSkills" : "Explain technical concepts; Non-technical audience", "documentationSkills" : "Documentation skills; Technical concepts explanation", "continuousLearning" : "Continuous learner; Eye on industry trends; Eye on new technologies; Learning platform", "problemSolvingSkills" : "Problem-solving skills; Analytical skills", "outcomesObjectives" : "Achieve trusted data view; Achieve accessible data view; Achieve well-defined data view; Scale trust; Scale accountability; Scale decision impact; Power impactful analytic use cases; Enable decisions; Push boundaries of decisions; Evolve ecosystems to scale impact", "qualificationsBasic" : "5+ years relevant experience, Expert SQL skills, 3+ years Python experience, 3+ years DBT experience, Understanding data warehousing concepts, Efficient problem-solving skills, Analytical skills, Proven ability to succeed in collaborative environments, Proven ability to succeed in independent work environments, Proven experience managing concurrent complex data projects", "qualificationsPreferred" : "Experience with dbt implementation, Experience owning end to end SDLC, Full ownership of stakeholder management, Proficiency in source code management tools, Experience working with Cloud Technologies, Experience working with semi structured data formats, Experience building data solutions for future scale, 3+ years BI tools development experience, ML analytics engineering experience a plus, Marketing Analytics experience a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "At Appfire, we believe that great work happens when people get to choose how they work. After 20 years of creating software that empowers teams to break silos and collaborate seamlessly, we've learned that one size does not fit all. We’re a team of 800+ employees, working remotely across 28 countries. Our flagship products include: Appfire Flow, JXL, Comala Document Management, 7Pace Time Tracker, Jira Misc Workflow Extensions, and BigPicture. Here you can read some of our customer stories: https://appfire.com/resources/resource-library/customer-stories About the role: Appfire is seeking an experienced full-time Senior Analytics Engineer! In this role you will build, define and activate Appfire’s company-wide data asset (Snowflake) from ground up data sources. You will work with stakeholders across Appfire to integrate, test, connect, and build brand new data and metrics within our Snowflake metrics layers, achieving a trusted, accessible and well-defined view of information across the company. Our Analytics Engineers build metric foundations for reporting, analysis and experimentation, pushing the boundaries of decisions across the company under an aligned view of the world. They leverage their expertise in metric development, DBT, data modeling, SQL and Python. Using these skills you will transform data from raw data warehouse into data artifacts powering impactful analytic use cases (e. g. metrics, dashboards, adhoc analysis and self-service solutions) that enable and push the boundaries of decisions across the company. As an Analytics Engineer you will sit at the intersection of business and data, working collaboratively to enable and achieve meaningful outcomes by evolving our ecosystems to scale impact. We’re growing quickly and have a lot to accomplish. What You Will Do: Understand decision needs by interfacing with fellow Analytics Engineers, Data Engineers, Data Analysts and Business Partners Architect, build, and launch efficient & reliable data models and pipelines in partnership with Data Engineering, leveraging DBT and Snowflake Design and implement metrics and dimensions enabling self-service analysis and structured views of Appfire’s KPI’s that scale trust, accountability and decision impact Define and share best practices on metric, dimension, and data model development and definitions for analytics use cases What We Would Like to See: 5+ years of relevant industry experience Passion for high data quality and impactful analytics engineering work Expert SQL skills for data modeling and query optimization. Extensive experience with self service, advanced analytics, semantic and metrics layers 3+ Years of Experience with Python and DBT Strong understanding of data warehousing concepts and best practices. Efficient problem-solving and analytical skills Proven ability to succeed in both collaborative and independent work environments at a remote-work company Proven experience managing concurrent complex data projects from start to finish Continuous learner with an eye on industry trends and new technologies. Excellent communication and documentation skills with the ability to explain technical concepts to a non-technical audience. Ability to effectively leverage AI tools and techniques to enhance dbt development, increase efficiency, and strengthen documentation. Preferred Qualifications: Experience with dbt (Data Build Tool) and its implementation for data transformation and modeling. Proven experience with data wrangling and designing/developing experience owning end to end SDLC and implementation, with full ownership of stakeholder management and expectation setting, prioritization, development and delivery. Proficiency in source code management tools such as GIT, BitBucket, etc. Experience working with Cloud Technologies (AWS/GCP/Azure) Experience working with various semi structured data formats (ex. JSON) Experience building data solutions for future scale and analytics use-cases 3+ years of development experience on industry standard BI tools ML analytics engineering experience a plus Marketing Analytics experience a plus Equity Every Appfire team member is eligible for company equity, fostering a genuine sense of ownership and shared success as we continue to grow. Paid Time Off We believe in providing the flexibility needed to maintain a healthy work-life balance. Appfire offers: Unlimited Paid Time Off (PTO) 10 paid company holidays annually Health & Wellness Benefits Appfire provides a comprehensive benefits package designed to support employees and their families: Medical insurance fully covered by Appfire (100% employer-paid) Dental insurance with costs shared 50/50 between Appfire and employees Vision insurance Group Term Life Insurance Voluntary Life Insurance Critical Illness coverage Accident Insurance Long-Term Disability coverage Employee Assistance Program (EAP) In addition, employees are eligible for fitness and wellness reimbursements through our benefits provider. Learning & Development Grow your skills and advance your career through Appfire University, our custom on-demand learning platform designed to support continuous professional development. Community Impact & Volunteering Giving back is an important part of our culture. Every employee receives three fully paid volunteer days per year to participate in our Corporate Social Responsibility (CSR) initiatives and support local communities. Additional Benefits Appfire offers a range of programs to support employees both professionally and financially: Flexible Spending Accounts (FSA) Monthly remote-work stipend Dedicated Amazon account for ordering approved equipment and peripherals Competitive 401(k) plan with company matching to help build long-term financial security Flexibility That Fits How You Work Best This role is fully remote and can be performed anywhere within the United States. For those who prefer an office environment—or simply enjoy connecting with colleagues in person—Appfire also offers access to our offices in Boston, Burlington, and New York. Market recognition Appfire has been consistently recognized for company growth, culture, corporate social responsibility, and product excellence and has been included among the Deloitte Technology Fast 500, Inc. Best Workplaces, BuiltIn Best Places to Work, and Inc. 5000. Learn more about our accomplishments, which would not be possible without our team members, partners, and customers: https://appfire.com/awards. Equal Employer Opportunity (EEO) Appfire is an equal opportunity employer and does not discriminate based on race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, or any other protected characteristic as defined by applicable law. Our commitment extends to all employment practices, including recruitment, hiring, training, promotion, compensation, benefits, and termination.", "summaryDescription" : "Senior Data Analytics Engineer - Data Insights at Appfire. Skills: Data modeling, DBT, SQL, Python. Understand decision needs. Interface with Analytics Engineers", "postedDate" : "2026-06-11T19:40:06.665", "createdAt" : "2026-06-11T19:40:06.665", "lastUpdated" : "2026-06-14T09:53:17.771", "ingestTimestamp" : "2026-06-11T19:40:06.665", "mongoId" : "6a2a486d74d8ee00a05df69c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data quality", "Impactful analytics engineering", "Self service analytics", "Advanced analytics", "Semantic layers", "Metrics layers", "Data warehousing concepts", "Problem-solving", "Analytical skills", "Project management", "Technical concepts explanation", "Continuous learner", "Excellent communication", "Documentation skills", "Data modeling", "DBT", "SQL", "Python", "Metric development", "Query optimization", "Data wrangling", "Stakeholder management", "Expectation setting", "Prioritization", "Development", "Delivery", "SDLC", "Cloud Technologies", "Snowflake", "GIT", "BitBucket" ], "skillCount" : 31, "jobCategory" : "other", "jobSubcategory" : "data-insights", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a472074d8ee00a05d82bd", "title" : "[쿠팡] Senior HR Analytics (HR Insights)", "company" : "Coupang", "salary" : { "min" : 7.5E7, "max" : 1.1E8, "currency" : "KRW", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior HR Analytics role in Seoul, South Korea, adjusted for the e-commerce industry and company size." }, "location" : "Seoul, South Korea", "locations" : [ "Seoul", "South Korea" ], "timestamp" : "2026-06-13T22:16:06.000", "fingerprint" : "b816e69ede0b86ced9ceba740d7ec0089f65e3dad7ef25a61ddc37cc8e1b084c", "source" : "greenhouse", "language" : "ko", "applyUrl" : "https://www.coupang.jobs/en/jobs/?gh_jid=7992128", "externalId" : "7992128", "structuredLocations" : [ { "city" : "Seoul", "country" : "South Korea", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "37.5666791,126.9782914" } ], "locationText" : "Seoul, South Korea", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "HR Analytics", "Business Analytics", "Data analysis", "Problem solving", "Insight generation" ], "hardSkillsList" : [ "Data analysis", "SQL", "BI tools", "Data presentation", "Unstructured data handling" ], "softSkillsList" : [ "Logical thinking", "Critical thinking", "Learning agility" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "BI tools", "level" : "intermediate" }, { "name" : "Data presentation", "level" : "intermediate" }, { "name" : "Unstructured data handling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Logical thinking" }, { "name" : "Critical thinking" }, { "name" : "Learning agility" } ], "majorSkills" : "HR Analytics, Business Analytics, Data analysis, SQL", "majorSkillsList" : [ "HR Analytics", "Business Analytics", "Data analysis", "SQL" ], "coreResponsibilities" : "Design, build, and enhance automated reports and dashboards, Systematically collect and analyze recruitment data, Derive insights from data, Share insights with stakeholders visually, Collaborate with recruitment leaders and stakeholders, Design and execute key metrics (KPIs) and regular, Maintain KPIs and regular reports, Collaborate with global recruitment teams, Align with company-wide recruitment vision and direction, Support ad-hoc projects and reporting, Manage and resolve arising issues, Continuously question existing operational methods, Lead improvements in recruitment processes, Lead improvements in data, Lead improvements in KPIs, Systematically manage data flow between internal databases", "teamCollaboration" : "Collaborate with recruitment leaders; Collaborate with internal stakeholders; Collaborate with global recruitment teams", "domainKnowledge" : "Recruitment processes; HR data", "domainList" : [ "recruitment-processes", "hr-data" ], "domainSpecificKnowledge" : [ "Recruitment processes", "HR data" ], "toolProficiency" : [ "Power BI", "Tableau", "Excel", "SQL", "Power Automate" ], "communicationSkills" : "Data presentation; Data summarization; Verbal communication; Written communication", "problemSolvingSkills" : "Problem solving; Data-driven decision making", "qualificationsBasic" : "Bachelor's degree or higher, 5+ years HR Analytics or Business Analytics experience, Proven data analysis background, Proficient in SQL, Proficient in BI tools (Power BI, Tableau, Excel), Ability to present and summarize data clearly, Ability to handle unstructured data, Ability to handle unfamiliar datasets, Detail-oriented, Performance-oriented, Highly organized, Ability to work independently, Ability to collaborate effectively in a team, Ability to provide actionable insights", "qualificationsPreferred" : "Experience in fast-paced, high-demand environments, High focus on data accuracy and integrity, Background in data engineering, Background in advanced analytics, Basic knowledge of HR solutions (Greenhouse or Workday), Effective communication in Korean and English, Experience with DPA tools (Power Automate)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "회사 소개 쿠팡은 고객 감동 실현을 위해 존재합니다. 고객들이 \"쿠팡 없이 그동안 어떻게 살았을까?\" 라고 말할 때, 비로소 우리의 미션을 실현하고 있음을 알 수 있습니다. 고객들의 쇼핑과 식사, 생활 전반을 편하게 만들겠다는 유일한 집념으로 쿠팡은 수억 달러 규모의 커머스 산업 전반의 혁신을 이끌고 있습니다. 쿠팡은 가장 빠르게 성장하는 리테일 기업 중 하나로, 국내 커머스 업계에서의 독보적인 입지와, 고객 신뢰를 구축했습니다. 쿠팡은 스타트업 문화를 기반으로 한 글로벌 대형 상장사라고 자부합니다. 이것이 창립 당시의 기민함을 유지하며, 신규 서비스를 끊임없이 출시하며 비즈니스를 확장해 나가는 우리의 성장 동력입니다. 쿠팡의 모든 임직원에게는 기업가 정신을 갖추고 새로운 혁신과 이니셔티브를 추진할 수 있는 기회가 주어집니다. 주저없이 일에 뛰어들어 성과를 이루고자 하는 과감성이, 바로 쿠팡이 일하는 방식의 본질입니다. 쿠팡에서는 여러분 자신, 동료, 팀 그리고 회사 전체가 매일 성장하는 모습을 목격할 것입니다. 쿠팡의 모든 직원은 커머스의 미래를 만들겠다는 쿠팡의 미션에 진심입니다. 우리는 고객의 문제를 해결해 나가고, 전통적인 관념과 통념에 맞서며 실현가능한 한계를 뛰어넘고 있습니다. 고가용성 (Always-on) 과 최첨단의 앞선 기술 (High-tech), 초연결사회 (Hyper-connected world) 에서의 놀라운 업무 경험을 원하신다면, 지금 바로 쿠팡에 합류하세요. 직무 소개 HR Analytics & Insights 팀에서는 논리적·비판적 사고력이 뛰어나고, 강한 학습 의지와 사람에 대한 진정성 있는 관심을 가진 인재를 찾고 있습니다. 본 역할은 데이터와 다양한 형태의 증거를 기반으로 효과적인 의사결정을 지원하고, 채용 프로세스 전반에 걸쳐 인사이트를 제공하는 문제 해결사(Problem Solver) 역할을 수행하게 됩니다. 정량적 방법과 정성적 방법을 모두 활용해 조직의 문제를 해결하고, 구조적·체계적인 접근 방식으로 도전 과제를 해결하며 솔루션을 구체화하게 됩니다. 또한, 채용의 기본 지표를 구축 및 고도화하고 이를 분석하여 주요 이해관계자에게 인사이트를 전달함으로써, 데이터에 기반한 더 나은 인사 결정을 내릴 수 있도록 지원합니다. 쿠팡이 가파른 성장을 지속함에 있어 채용은 성공의 핵심적인 요소이며, 본 팀은 데이터 기반의 의사결정을 이끄는 데 중추적인 역할을 담당하고 있습니다. 구조화된 데이터와 비정형 데이터 모두를 다루게 되며, 새롭고 생소한 데이터 소스를 적극적으로 탐색하려는 자세가 필수적입니다. 빠르게 변화하는 환경 속에서 채용 및 HR 데이터를 다루는 만큼, 정확성과 신속성이 매우 중요합니다. 업무내용 대시보드 개발: 비즈니스 요구사항을 충족하고 성과를 측정할 수 있도록 자동화된 보고서 및 대시보드를 설계, 구축 및 고도화 데이터 분석 및 공유: 채용 데이터를 체계적으로 수집·분석하고, 인사이트를 도출하여 이해관계자에게 시각화된 형태로 공유 이해관계자 파트너십: 채용 리더 및 주요 내부 이해관계자와 긴밀히 협업하여 핵심 지표(KPI)와 정기 리포트를 설계하고 실행 및 유지 관리 글로벌 협업: 글로벌 채용 팀과 협업하여 전사적인 채용 비전 및 로드백과 방향성 얼라인 프로젝트 지원: 수시(Ad-hoc) 프로젝트 및 보고 업무를 지원하고, 발생하는 이슈를 효과적으로 관리하고 해결 프로세스 개선: 기존 운영 방식에 대해 지속적으로 문제의식을 가지고 채용 프로세스, 데이터, KPI의 개선을 주도 데이터 흐름 관리: 채용 및 분석 조직의 효율성과 정확성 향상을 위해 내부 데이터베이스 간 데이터 흐름을 체계적으로 관리 자격요건 학사 학위 이상 소지자 HR 분석(HR Analytics) 또는 비즈니스 분석(Business Analytics) 분야에서 5년 이상의 유관 경력을 보유하신 분 데이터 분석적 배경이 검증되었으며, SQL 역량이 능숙하신 분 BI 툴(Power BI, Tableau, Excel)에 대한 깊은 이해도를 가지신 분 데이터를 명확하게 프레젠테이션하고 요약하여 전달할 수 있는 역량을 갖추신 분 비정형 데이터 처리가 가능하며, 익숙하지 않은 데이터셋도 원활히 다룰 수 있는 분 꼼꼼하고(Detail-oriented), 성과 지향적이며, 높은 조직 조직화(Organized) 능력을 갖추신 분 독립적으로 업무를 수행하는 동시에, 팀 환경에서 효과적으로 협업할 수 있는 분 의사결정에 영향을 미칠 수 있는 실행 가능한 인사이트(Actionable insights)를 제공할 수 있는 분 우대사항 변화가 빠르고 요구사항이 많은(High-demand) 환경에서 근무한 경험이 있으신 분 데이터의 정확성과 무결성(Integrity)에 대한 높은 집중력을 가지신 분 데이터 엔지니어링 또는 심층 분석(Advanced analytics) 분야의 배경지식이 있으신 분 HR 솔루션(특히 Greenhouse 또는 Workday)에 대한 기본 지식이 있으신 분 한국어와 영어 모두 서면 및 구두로 효과적인 커뮤니케이션이 가능하신 분 디지털 프로세스 자동화(DPA) 툴(특히 Power Automate) 사용 경험이 있으신 분 전형 절차 및 안내 사항 전형 절차 서류전형 - 채용담당자 전화인터뷰 - 전화/Tech인터뷰 - 화상(대면)면접 – 최종 합격 전형 절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.  전형 일정 및 결과는 지원서에 등록하신 이메일로 개별안내드립니다.  참고 사항 고용형태는 정규직으로 수습기간은 12주를 포함합니다. 본 공고는 모집 완료 시 조기 마감될 수 있습니다. 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. 취업 보호 대상자(보훈대상자, 장애인 등)는 관련 법률에 따라 채용우대를 받을 수 있습니다. 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반 사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다. 개인정보 처리방침 쿠팡그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다. https://www.coupang.jobs/kr/privacy-policy/ 서류반환 정책 본고지는 『채용절차의공정화에관한법률』제11조제6항에 따른 것 입니다. · 당사 채용에 응시한 구직자 중 최종 합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다. · 위2항 본문에 따라 채용 서류 반환 청구를 하는 구직자는 채용 서류 반환 청구서 [채용절차의 공정화에 관한 법률 시행규칙 별지 제 3 호 서식]를 작성하여 이메일 (recruitingops@coupang.com) 로 제출하면, 제출이 확인된 날로부터 14 일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다. · 당사는 위2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180 일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다. · 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다", "summaryDescription" : "[쿠팡] Senior HR Analytics (HR Insights) at Coupang. Skills: HR Analytics, Business Analytics, Data analysis, SQL. Design, build, and enhance automated reports and dashboards. Systematically collect and analyze recruitment data", "postedDate" : "2026-06-11T18:21:33.673", "createdAt" : "2026-06-11T18:21:33.673", "lastUpdated" : "2026-06-13T22:16:06.000", "ingestTimestamp" : "2026-06-11T18:21:33.673", "mongoId" : "6a2a472074d8ee00a05d82bd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "SQL", "BI tools", "Data presentation", "Unstructured data handling", "Logical thinking", "Critical thinking", "Learning agility", "HR Analytics", "Business Analytics", "Problem solving", "Insight generation", "Recruitment processes", "HR data", "Power BI", "Tableau", "Excel", "Power Automate" ], "skillCount" : 18, "jobCategory" : "human-resources", "jobSubcategory" : "people", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305714f292fd229cf339d0", "title" : "Senior Social Insights Analyst", "company" : "OLIVER", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Social Insights Analyst in Spain, adjusted for industry and remote work." }, "location" : "Pipeline", "locations" : [ "Pipeline" ], "timestamp" : "2026-06-16T10:44:45.333", "fingerprint" : "72d4084c158c3a4e577309e5d8f07d5289a41b7344be50775888d402bbbb607a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/oliver/jobs/8007128", "externalId" : "8007128", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Spain", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Spain", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Established in 2004, OLIVER is the world’s first and only specialist in designing, building, and running bespoke in-house agencies and marketing ecosystems for brands. We partner with over 300 clients in 40+ countries and counting. Our unique model drives creativity and efficiency, allowing us to deliver tailored solutions that resonate deeply with audiences. As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results. Role: Senior Social Insights Analyst Location: Spain (remote) ABOUT THE ROLE We are seeking a Research able to anticipate insight needs and build tailored responses Curious, growth‑minded, and eager to continually learn and push boundaries Confident working in fast‑paced, evolving environments with multiple stakeholders Collaborative, open‑minded team player Req ID: 17325 #LI-JP1 #LI-Hybrid #LI-director Our values shape everything we do: Be Ambitious to succeed  Be Imaginative to push the boundaries of what’s possible  Be Inspirational to do groundbreaking work  Be always learning and listening to understand  Be Results-focused  to exceed expectations  Be actively pro-inclusive and anti-racist across our community, clients and creations  OLIVER, a part of the Brandtech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected. All applicants shall be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, age, neurodivergence, disability status, or any other characteristic protected by local laws.   OLIVER has set ambitious environmental goals around sustainability, with science-based emissions reduction targets. Collectively, we work towards our mission, embedding sustainability into every department and through every stage of the project lifecycle.", "summaryDescription" : "Senior Social Insights Analyst at OLIVER", "postedDate" : "2026-06-15T23:17:41.534", "createdAt" : "2026-06-15T23:17:41.534", "lastUpdated" : "2026-06-16T10:44:45.333", "ingestTimestamp" : "2026-06-15T23:17:41.534", "mongoId" : "6a305714f292fd229cf339d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Marketing", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e42bf8b1b0376634c6c9", "title" : "Insights and Measurement Lead", "company" : "Amazon Servicos de Varejo do Brasil Ltda.", "industry" : "Sales, Advertising, Account Management, Professional Services", "salary" : { "min" : 250000.0, "max" : 400000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Insights and Measurement role in Sao Paulo, Brazil, adjusted for the technology industry and onsite work mode." }, "location" : "Sao Paulo, Sao Paulo, BRA", "locations" : [ "Sao Paulo, Sao Paulo, BRA" ], "timestamp" : "2026-06-15T01:15:38.899", "fingerprint" : "da5b7a7ec744849f3a4f158d6390d5984821f202208cdecf30185b6f2cd4ac0d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3076330/apply", "externalId" : "db54b73f-d169-45fd-b915-2bd16cbb9174", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sao Paulo", "state" : "Sao Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "Sao Paulo, Sao Paulo, Brazil", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, R, SAS, SQL", "professionalSkills" : [ "Data analysis", "Client relationships", "Sales", "Account management", "Retail", "Business partners", "Measurement solutions", "Advertising solutions", "Digital advertising", "Return on investment" ], "hardSkillsList" : [ "Data analysis", "Metric creation", "Statistical techniques", "Regression analysis", "Segmentation", "Machine learning", "Marketing mix modeling", "Attribution frameworks", "Advertising measurement" ], "softSkillsList" : [ "Consultative approach", "Navigate ambiguity", "Solve complex problems", "Thought leadership" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Metric creation", "level" : "intermediate" }, { "name" : "Statistical techniques", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Segmentation", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Marketing mix modeling", "level" : "intermediate" }, { "name" : "Attribution frameworks", "level" : "intermediate" }, { "name" : "Advertising measurement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Consultative approach" }, { "name" : "Navigate ambiguity" }, { "name" : "Solve complex problems" }, { "name" : "Thought leadership" } ], "majorSkills" : "Insights generation, Measurement strategy, Client relationships", "majorSkillsList" : [ "Insights generation", "Measurement strategy", "Client relationships" ], "coreResponsibilities" : "Leverage data for insights, Generate actionable insights, Own measurement relationships, Partner on learning objectives, Influence business decisions, Present findings consultatively, Collaborate on solutions, Translate concepts to recommendations, Influence sales initiatives, Influence marketing initiatives, Educate stakeholders, Advocate for data-driven decisions, Drive thought leadership, Encourage advertisers to act", "teamCollaboration" : "Internal teams; Cross-functional; Multiple business functions; Multiple geographies; Sales organization; Account management; Retail; Amazon business partners", "domainKnowledge" : "Digital media; AdTech; Advertising; Digital advertising; Advertising measurement; Marketing mix modeling; Attribution frameworks; Statistical techniques; Machine learning", "domainList" : [ "digital-media", "adtech", "advertising", "digital-advertising", "advertising-measurement", "marketing-mix-modeling", "attribution-frameworks", "statistical-techniques", "machine-learning" ], "domainSpecificKnowledge" : [ "Digital media", "AdTech", "Advertising", "Digital advertising", "Advertising measurement", "Marketing mix modeling", "Attribution frameworks", "Statistical techniques", "Machine learning" ], "toolProficiency" : [ "SQL", "Python", "R", "SAS" ], "communicationSkills" : "Presentation skills; Storytelling; Executive presentations", "problemSolvingSkills" : "Solve complex problems; Translate analytical concepts", "outcomesObjectives" : "Deliver best return on investment", "qualificationsBasic" : "Bachelor's degree, 7+ years client-facing data analysis, 5+ years digital media/AdTech, Translate technical analyses, Data-driven storytelling, Presentation skills, Advertising measurement methodologies, Marketing mix modeling, Attribution frameworks, Advanced statistical techniques, Regression analysis, Segmentation, Machine learning, Proficiency in SQL, Analytical tools fluency", "qualificationsPreferred" : "Advanced degree (MBA, Master's), Digital media planning experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Ads operates at the intersection of e-commerce and advertising, offering a rich array of advertising solutions. We partner with advertisers to reach Amazon customers across our owned and operated sites like Prime Video and Twitch, and on other high-quality sites across the web, and on devices. We are currently looking for a highly skilled and motivated Insights and Measurement Lead to help scale our growing advertising business. The Insights and Measurement Lead is a key member of the sales organization at Amazon Ads, taking a consultative approach, building deep relationships with advertisers, sales, account management, retail, and other Amazon business partners to analyze and measure the success of advertisers' performance on Amazon. Key job responsibilities • Leverage Amazon's proprietary data, third-party research, and Ad measurement solutions to generate actionable insights for C-suite marketing leaders. • Own senior-level measurement and insights customer relationships and partner across strategic learning objectives that influence business decision-making • Present findings consultatively, collaborating with internal teams to deliver comprehensive solutions. • Navigate ambiguity, solve complex problems, and translate analytical concepts into actionable recommendations. • Collaborate cross-functionally to influence sales and marketing initiatives across multiple business functions and geographies. • Educate stakeholders on Amazon's insights and measurement offerings through learning sessions, documentation, and whitepapers. • Advocate for data-driven decision-making, driving thought leadership and encouraging advertisers to act on recommendations. A day in the life On a daily basis, Insights and Measurement Lead activities include analyzing and measuring metrics of success for an advertiser business or category, developing data-driven insights and recommendations for executive client leadership, and communicating recommendations in a clear and compelling fashion. The strategic and consultative digital advertising expertise of the Insights and Measurement Lead is critical to delivering the best return on investment for our customers. About the team The Analytics & Insights (A&I) organization leverages Amazon's data to develop actionable insights for advertisers. By providing insights and measurement solutions, A&I enhances marketers' decision-making processes, measurably improving their success on and off Amazon. Basic Qualifications: - Bachelor's degree with 7+ years of experience in client-facing data analysis roles, including 5+ years in digital media/AdTech consulting or advertising with a top agency or brand. - Expertise in translating technical analyses into actionable insights for diverse stakeholders, with excellent data-driven storytelling and presentation skills. - Demonstrated proficiency in advertising measurement methodologies, marketing mix modeling, and attribution frameworks. - Strong understanding of advanced statistical techniques, including regression analysis, segmentation and machine learning. - Proficiency in SQL for complex data manipulation and metric creation, along with fluency in analytical tools (Python, R, SAS, etc.). - Please apply with resume in English Preferred Qualifications: - Advanced degree (MBA, Master's) in Economics, Marketing, Statistics, Advertising, or Business; or equivalent Digital media planning experience. - Experience with advertising publishers, marketing/creative agencies, and campaign management. 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" : "Insights and Measurement Lead at Amazon Servicos de Varejo do Brasil Ltda.. Skills: Insights generation, Measurement strategy, Client relationships. Leverage data for insights. Generate actionable insights", "postedDate" : "2026-06-13T07:15:18.470", "createdAt" : "2026-06-13T07:15:18.470", "lastUpdated" : "2026-06-15T01:15:38.899", "ingestTimestamp" : "2026-06-13T07:15:18.470", "mongoId" : "68c2e42bf8b1b0376634c6c9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3076330/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Metric creation", "Statistical techniques", "Regression analysis", "Segmentation", "Machine learning", "Marketing mix modeling", "Attribution frameworks", "Advertising measurement", "Consultative approach", "Navigate ambiguity", "Solve complex problems", "Thought leadership", "Insights generation", "Measurement strategy", "Client relationships", "Sales", "Account management", "Retail", "Business partners", "Measurement solutions", "Advertising solutions", "Digital advertising", "Return on investment", "Digital media", "AdTech", "Advertising", "SQL", "Python", "R", "SAS" ], "skillCount" : 31, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6a30a1e0f292fd229c116bc7", "title" : "Senior Systems Engineer, Commercial Intelligence and Analytics", "company" : "The Trade Desk", "salary" : { "min" : 103200.0, "max" : 189200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Los Angeles", "locations" : [ "Los Angeles" ], "timestamp" : "2026-06-16T11:28:25.573", "fingerprint" : "d7e262297b8635fe92de83a9e768ba73a30f8a99e9e2492dc5e8510de2d3073a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/thetradedesk/jobs/5165087007", "externalId" : "5165087007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more. Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly. The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you. We are seeking a Senior Systems Engineer, Commercial Intelligence and Analytics to build high-impact analytical systems supporting TTD’s cross-functional teams, with a focus on Sales and Client Services. This role sits at the intersection of commercial analytics, applied intelligence, and go-to-market execution. You will identify system gaps, design solutions, and ship scalable data systems, insight pipelines, and automated workflows that support a broad set of internal stakeholders. Working across Commercial Operations, Revenue Operations, Business Technology, Finance, and related teams, you will help translate analysis into proactive signals that improve prioritization, decision-making, and field execution. This role owns the engineering lifecycle of intelligence systems from requirements and architecture through deployment, monitoring, and iteration. You will work closely with other teams to deliver clear, trusted, and actionable intelligence that improves seller focus, client outcomes, and the overall client experience at TTD. What we do Commercial Operations is composed of closely connected functions that help TTD grow revenue in a disciplined, scalable, and data-driven way. Across these teams, we improve visibility, standardize key metrics, strengthen decision support, and help client-facing teams act with greater precision and consistency. Within this organization, Commercial Intelligence and Analytics turns commercial, product, and client data into insight products that support internal teams and improve how TTD serves, grows, and retains clients. We build data pipelines, signal frameworks, and decision-support systems that help Sales and Client Services teams understand portfolio health, prioritize effort, identify risk and opportunity earlier, and engage clients more effectively. Our work spans scalable reporting infrastructure, proactive signal delivery, and AI-assisted workflows that operationalize intelligence into durable, production-grade systems. Core mission The Senior Systems Engineer owns the design, development, and reliability of intelligence systems from requirements through production. This includes identifying where systems, automation, or infrastructure improvements can unlock better decision support. It also includes architecting insight pipelines, defining technical requirements, and building and deploying scalable solutions. The systems you build should be trusted, understandable, and useful. Success in this role is measured by the durability, reliability, and impact of the systems you ship. What you'll work with Python, SQL, Snowflake, Tableau, Git/GitLab (CI/CD), LLM APIs, Docker, Jira, Confluence What you'll do Own and maintain the production systems that surface revenue performance, portfolio health, renewal dynamics, client opportunity, and service risk so internal teams can act on the right priorities with confidence. Design, build, and operate proactive insight pipelines, translating recurring business needs into system architecture, data models, signal logic, and production-ready outputs so intelligence can be delivered consistently at scale. Work directly with Business Technology and Revenue Operations to integrate intelligence outputs into dashboards, alerting systems, and operational workflows so signals reach users through the tools where decisions are made. Build and deploy tools, signals, and automated deliverables that help teams prioritize effort, identify risk and opportunity, and act with greater precision so commercial resources are directed where they matter most. Build trusted, production-grade data assets and pipelines using SQL, Python, validated metrics, and well-documented logic so downstream systems remain reliable, explainable, and maintainable. Integrate AI and LLM capabilities into systems and workflows to accelerate exploration, automate documentation, detect anomalies, and improve pipeline quality so teams can move faster without sacrificing rigor. Translate ambiguous commercial problems into concrete technical plans, stakeholder-aligned requirements, and measurable deliverables. Identify and prioritize scalable system investments that are actionable and likely to drive broad commercial impact. Embed intelligence outputs into go-to-market systems and instrument delivery to assess whether signals reach the right users, inform action, and improve outcomes. Raise the team’s engineering bar through rigorous documentation, automated testing, metric governance, and repeatable, version-controlled workflows. Required qualifications 5+ years of experience in analytics engineering, data engineering, software engineering, or a similarly systems-oriented role with strong quantitative foundations. Strong SQL skills and experience working with large, complex datasets in modern data environments. Proficiency in Python for building production systems, automation, and data pipeline development. Strong foundation in software development practices including version control (Git), code review, testing, and CI/CD pipelines. Experience translating business requirements into technical designs, system architecture, and production-ready deliverables. Experience building durable, automated systems rather than relying on ad hoc or manual processes. Demonstrated track record of identifying opportunities, proposing solutions, and independently driving systems, automation or technical initiatives from concept through adoption, often in ambiguous or loosely defined environments. Experience operating in technical environments while collaborating with a broad set of internal stakeholders, including client-facing teams. Familiarity with AI- or LLM-assisted tools and strong judgment in applying them responsibly and validating outputs to ensure accuracy, rigor, and reliability. Strong written and verbal communication skills, including the ability to explain findings and tradeoffs clearly to a range of stakeholders. Strong attention to data quality, metric consistency, and engineering rigor. Preferred qualifications Experience supporting Sales, Client Services, Revenue Operations, or other go-to-market teams in analytically rigorous environments. Experience deploying proactive signals, recommendations, or decision-support systems into production environments. Experience building and maintaining production data pipelines or ETL/ELT systems. Familiarity with advertising technology, digital media, measurement, or platform-based commercial models. Experience working in high-growth, data-intensive organizations where analytics support multiple stakeholders and workflows. Experience with Salesforce, planning tools, product telemetry, and enterprise data platforms such as Snowflake or Databricks. #LI-JS1 The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. [LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652. [SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. In accordance with various US state laws, the range provided is the Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as variable compensation-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan. The Trade Desk also offers a competitive benefits package. Click here to learn more. Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave At the Trade Desk, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $103,200—$189,200 USD As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive. Please reach out to us at accommodations@thetradedesk.com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process. When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.", "summaryDescription" : "Senior Systems Engineer, Commercial Intelligence and Analytics at The Trade Desk", "postedDate" : "2026-06-16T03:17:19.808", "createdAt" : "2026-06-16T03:17:19.808", "lastUpdated" : "2026-06-16T11:28:25.573", "ingestTimestamp" : "2026-06-16T03:17:19.808", "mongoId" : "6a30a1e0f292fd229c116bc7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 103200, "salaryAnnualMax" : 189200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "senior director performance analytics and insights specialty care jobs", "metadata" : { "title" : "senior director performance analytics and insights specialty care" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 108575, "totalPages" : 2172, "hasNext" : true, "hasPrevious" : false } }

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