{ "count" : 152328, "data" : [ { "id" : "6a305abef292fd229cf54ff8", "title" : "Commercial Strategy and Analytics Manager", "company" : "Datavant", "industry" : "FinTech", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Manager in Healthcare in the United States, adjusted for seniority and remote work." }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "certifications" : [ "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "timestamp" : "2026-06-16T10:08:43.558", "fingerprint" : "ae591e867672128ba2c968e9dc7e6a96f51c6d371508a188590130a04366d149", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.datavant.com/about/careers/open-roles/job?gh_jid=5247280008", "externalId" : "5247280008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceLevel" : "Manager", "technicalSkills" : "Python, R, MATLAB, SQL, Bloomberg Terminal, Reuters Eikon, FactSet, Murex, Calypso", "professionalSkills" : [ "Financial modeling", "Portfolio management", "Risk assessment", "Quantitative analysis" ], "hardSkillsList" : [ "Financial analysis", "Data analysis", "Statistical modeling" ], "hardSkills" : [ { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" } ], "majorSkills" : "Financial instruments, Risk methodologies, Regulatory frameworks", "majorSkillsList" : [ "Financial instruments", "Risk methodologies", "Regulatory frameworks" ], "coreResponsibilities" : "Analyze financial data, Develop analytical models, Monitor market trends, Assess financial risks, Ensure regulatory compliance, Prepare financial reports, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Stakeholder engagement", "domainKnowledge" : "Financial instruments; Banking; Investment management; Trading; Risk management; Compliance; Insurance; Fintech; Accounting; SOX; Basel III/IV; MiFID II; Dodd-Frank; FINRA; SEC; FCA; GDPR; AML/KYC; Equities; Fixed income; Derivatives; Options; Futures; Swaps; FX; Structured products; Private credit; VaR; CVaR; Stress testing; Monte Carlo; Factor models; Credit scoring", "domainList" : [ "financial-instruments", "banking", "investment-management", "trading", "risk-management", "compliance", "insurance", "fintech", "accounting", "sox", "basel-iii-iv", "mifid-ii", "dodd-frank", "finra", "sec", "fca", "gdpr", "aml-kyc", "equities", "fixed-income", "derivatives", "options", "futures", "swaps", "fx", "structured-products", "private-credit", "var", "cvar", "stress-testing", "monte-carlo", "factor-models", "credit-scoring" ], "domainSpecificKnowledge" : [ "Financial instruments", "Banking", "Investment management", "Trading", "Risk management", "Compliance", "Insurance", "Fintech", "Accounting", "SOX", "Basel III/IV", "MiFID II", "Dodd-Frank", "FINRA", "SEC", "FCA", "GDPR", "AML/KYC", "Equities", "Fixed income", "Derivatives", "Options", "Futures", "Swaps", "FX", "Structured products", "Private credit", "VaR", "CVaR", "Stress testing", "Monte Carlo", "Factor models", "Credit scoring" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "communicationSkills" : "Report writing; Presentation skills", "documentationSkills" : "Financial reporting; Regulatory documentation", "problemSolvingSkills" : "Analytical skills; Problem-solving", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. What We’re Looking For What You Will Do OPTIONAL: What a Typical Day Looks Like What You Need to Succeed OPTIONAL: What Helps You Stand Out What We Offer To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren’t even able to see whether you’ve responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the ‘Interview Accommodation Request’ category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.", "summaryDescription" : "Commercial Strategy and Analytics Manager at Datavant. Skills: Financial instruments, Risk methodologies, Regulatory frameworks. Analyze financial data. 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Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. What We’re Looking For: As the Commercial Strategy and Analytics Manager at Datavant, you will play a crucial role within our Commercial Operations team. Your primary responsibility will be to support the transformation of the commercial organization through customer segmentation, go to market models design, sales strategy, and customer analytics. Your role requires a strong technical background, excellent analytical skills, and the ability to collaborate effectively in a fast-paced environment. What You Will Do: Drive commercial strategy through: Commercial analytics, executive reporting, and market insights that identify growth opportunities, client trends, and areas of strategic focus Building scalable dashboards, performance metrics, and account intelligence frameworks that support commercial decision-making across Client Success and cross-functional stakeholders Analyzing and synthesizing market, client, adoption, and revenue data to deliver actionable insights and forward-looking business recommendations Conducting market sizing, segmentation, whitespace, and competitive analysis to support strategic planning and prioritization Help refine and scale commercial operations by: Partnering cross-functionally with Client Success, Sales, Finance, Product, Business Intelligence, and Data teams to improve alignment across forecasting, planning, and commercial priorities Designing and operationalizing standardized reporting, analytics frameworks, and planning methodologies that improve consistency and scalability across teams Driving adoption and enablement of dashboards, tools, and analytics capabilities to improve visibility, decision-making, and execution Continuously improving reporting workflows, data quality, and insight delivery processes to support operational efficiency and business impact Improve commercial planning and business performance by: Supporting forecasting and demand planning processes through accurate, insight-driven analytics and standardized inputs Monitoring commercial performance trends, client engagement signals, and revenue pacing to proactively identify risks and opportunities Developing methodologies and tracking mechanisms that measure business performance, account health, and strategic progress Translating analytics into clear recommendations and action plans that support client growth, commercial performance, and operational priorities What You Need to Succeed: Bachelor’s degree in Business, Analytics, Information Technology, Economics, Engineering, or a related field; 15 years of equivalent experience will be considered in lieu of Bachelor’s degree Minimum of 7 years of experience in commercial strategy, business intelligence, revenue operations, analytics, management consulting, or a related role Experience supporting commercial planning, forecasting, account strategy, client success operations, and/or revenue performance initiatives Strong analytical skills with experience interpreting commercial, client, operational, and financial data to drive business decisions and strategic recommendations Experience developing dashboards, reporting frameworks, and performance metrics that support executive decision-making Proven ability to synthesize complex data into clear insights, action plans, and business recommendations Strong understanding of forecasting methodologies, commercial performance tracking, and operational planning processes Experience partnering cross-functionally with proven ability to influence stakeholders and drive alignment across teams in a fast-paced environment Strong project management, communication, and execution skills with the ability to manage multiple high-priority initiatives simultaneously Experience improving operational processes, reporting workflows, and analytics adoption across organizations What Helps You Stand Out: Master’s Degree in relevant field We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $120,000—$140,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren’t even able to see whether you’ve responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the ‘Interview Accommodation Request’ category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.", "summaryDescription" : "Commercial Strategy and Analytics Manager at Datavant", "postedDate" : "2026-06-15T23:23:23.617", "createdAt" : "2026-06-15T23:23:23.617", "lastUpdated" : "2026-06-16T08:30:37.574", "ingestTimestamp" : "2026-06-15T23:23:23.617", "mongoId" : "6a305abef292fd229cf54ff9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3051ccf292fd229cf06f05", "title" : "Manager - Analytics", "company" : "Glance", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager - Analytics in Bangalore, India, adjusted for the technology industry and company size." }, "location" : "Bangalore, Karnataka, India", "locations" : [ "Bangalore", "Karnataka", "India" ], "timestamp" : "2026-06-16T07:42:17.077", "fingerprint" : "baa5b03b4592b8424c3cd5750aa62b69c77846415fe485b6022b97405e16a04b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/glance/jobs/7984361", "externalId" : "7984361", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "experienceLevel" : "Manager", "rawDescription" : "Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery, where inspiration becomes something you can explore, feel, and shop in the moment. Its proprietary models, seamlessly integrated with Google’s most advanced AI platforms, Gemini and Imagen on Vertex AI, deliver hyper-realistic, deeply personal shopping experiences across categories such as fashion, beauty, travel, accessories, home décor, pets, and more. Designed to seamlessly integrate into everyday consumer technology, Glance AI reimagines the future of e-commerce with inspiration-led discovery and shopping. With an open architecture built for effortless adoption across hardware and software ecosystems, Glance AI is creating a platform that can become a staple in everyday consumer technology. It partners with the world’s leading smartphone makers, connected TV manufacturers, telecom providers, and global brands — meeting people where they are: on mobile, smart TVs, and brand websites. Through Glance AI’s rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Part of the InMobi Group, a global technology and advertising leader reaching over 2 billion devices and serving more than 30,000 enterprise brands worldwide, Glance AI is backed by Google, Jio Platforms, and Mithril Capital. What is the role about? Manager Analytics is an Individual Contributor role where you would be involved in identifying complex fuzzy problems, breaking them down into smaller parts and implementing creative, data-driven solutions. You would be responsible for defining, tracking and improving key metrics and communicating business trends to stakeholders. What will you be doing? You will model data in order to create reporting infrastructure/dashboards for business process management and data mining You will be closely working with the business/product teams to enable data driven decision making. You will execute quantitative analysis that translates data into actionable insights You will drive data driven decision making through the stakeholders You will influence new opportunities for business based on internal/ external data You will drive the team to adopt new and innovative ways of solving business problems What is expected out of you? Educational/ Work Qualifications Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute 5+ Years of experience in advanced analytics, python scripting. Required abilities / competencies: Ability to breakdown any problem into components that can be collaboratively solved Ability to negotiate on the scope of the problem through business understanding Penchant for business and persistence to work with data to derive insights Experience in analyzing very large, complex, multi-dimensional data sets Ability to find innovative solutions to mitigate dependencies and risks for deliverables Ability to independently plan and execute deliveries Exceptional written and verbal communication skills Ability to multitask and work on a diverse range of requirements Technical capabilities: Expertise in SQL, Excel, other scripting languages (R, Python, etc.) Good background in statistical modelling and experience with statistical tools such as R, Python, Spark Working experience with BI tools(Power BI, Superset) \"Glance collects and processes personal data such as your name, contact details, resume and other information that may contain personal data for the purpose of processing your application. Glance utilizes Greenhouse, a third-party platform. Please review Greenhouse's Privacy Policy to understand how the data collected from you is processed and managed. By clicking on 'Submit Application', you acknowledge and agree to the above privacy terms. Should you have any privacy concerns, you may contact us through the details mentioned in your application confirmation email.\"", "summaryDescription" : "Manager - Analytics at Glance", "postedDate" : "2026-06-15T23:19:48.062", "createdAt" : "2026-06-15T23:19:48.062", "lastUpdated" : "2026-06-16T07:42:17.077", "ingestTimestamp" : "2026-06-15T23:19:48.062", "mongoId" : "6a3051ccf292fd229cf06f05", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca34574d8ee00a09ab01f", "title" : "Director, Revenue Strategy & Analytics", "company" : "Fireworks AI", "salary" : { "min" : 250000.0, "max" : 270000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T02:31:00.405", "fingerprint" : "8184f0c3bf49ee807e671ecf0022787e38307c0aaaf97851564000a7a17beccc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fireworksai/jobs/4280810009", "externalId" : "4280810009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "rawDescription" : "About Us: At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI. The Role Our GTM organization is scaling fast and needs a strategic and analytical foundation to match. In this role you will lead our Sales Strategy and Revenue Analytics pillars, reporting to the VP of Revenue Operations. This role requires someone who has operated in a consumption or usage-based business and understands how that changes forecasting, territory design, and what good GTM metrics actually look like. You'll own the foundation the GTM org runs on: operating model, territory and coverage design, revenue and GPU forecasting, QBR/WBR operating cadence, and the repeatable sales motions that turn annual strategy into quarterly execution. You'll be a strategic partner to sales leadership and a connector across Sales, Finance, Data, and Product. You'll set the operating model, defend it with data, and change it when the business changes. We want someone who measures their impact in decisions changed, not decks delivered. What You'll Own 1. GTM Operating Model and Territory/ROE Design Own how the GTM organization is structured to win: segment coverage, territory design, rules of engagement across GTM and Product, and quota-setting philosophy. Translate annual targets into territory plans that give every rep a fair book and every segment the right level of coverage. Revisit and adjust as the business evolves. 2. Revenue and GPU Forecasting Build and own the forecasting process across bookings, renewals, and consumption in partnership with Finance, Sales, and Data. Establish a methodology that works for a business where committed ARR and consumption expansion behave differently. Deliver forecasts leadership can trust, with clear variance explanation and recommended actions. 3. Business Partnership and Operating Cadence Run the QBR, WBR, and planning forums that keep the GTM organization aligned, accountable, and moving. Design the cadence, own the agenda, and make sure the output is decisions and actions, not status updates. Act as a strategic advisor to GTM leaders, surfacing pipeline risk and growth opportunity before it shows up in results. 4. Sales Process into Repeatable Motions Define and execute a consistent sales process across account planning, territory planning, and pipeline generation. Turn what works into a playbook. Instrument it so performance is visible, coaching is targeted, and the team gets better over time. Minimum Qualifications 10+ years in Revenue Strategy, Sales Strategy, Sales Operations, or Revenue Operations at B2B companies Has owned an end-to-end forecasting process, not just contributed to one Has designed territory and quota models at scale Has built and led a team with direct reports across strategy or analytics functions Strong analytical foundation: can build a model from scratch, not just interpret one Preferred Qualifications Experience at a usage-based, consumption, or API-first company Has run strategy and operations across both enterprise and PLG/product-led motions simultaneously Comfortable presenting to CFO, board, and executive team with well-reasoned variance analysis Has worked at an AI/ML infrastructure, developer tools, or high-growth technical B2B company Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted. Base Pay Range (Plus Equity) $250,000—$270,000 USD Why Fireworks AI? Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.", "summaryDescription" : "Director, Revenue Strategy & Analytics at Fireworks AI", "postedDate" : "2026-06-14T20:07:36.707", "createdAt" : "2026-06-14T20:07:36.707", "lastUpdated" : "2026-06-16T02:31:00.405", "ingestTimestamp" : "2026-06-14T20:07:36.707", "mongoId" : "6a2ca34574d8ee00a09ab01f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 270000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3056cdf292fd229cf2efee", "title" : "Head of Product Analytics", "company" : "Tide", "industry" : "FinTech", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Head of Product Analytics in Sofia, Bulgaria, adjusted for executive seniority in the FinTech industry." }, "location" : "Sofia", "locations" : [ "Sofia" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T09:17:38.799", "fingerprint" : "31931155a623eb40f0145201f95653980a5a6866329d5254f5e2d74722003532", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tide/jobs/7773338003", "externalId" : "7773338003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sofia", "country" : "Bulgaria", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "42.6977028,23.3217359" } ], "locationText" : "Sofia, Bulgaria", "technicalSkills" : "SQL, Python, R, Spark, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Tableau, Power BI, Looker, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Experiment design", "Causal inference", "Business acumen" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "Machine learning", "Statistical modeling", "A/B testing", "Data visualization" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Product Analytics, Data Science, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Product Analytics", "Data Science", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and maintain analytics dashboards, Build and optimize data pipelines, Perform complex data analysis, Design and implement A/B tests, Develop predictive models, Collaborate with product teams, Communicate insights to stakeholders, Ensure data quality and integrity", "teamCollaboration" : "Cross-functional teams; Product managers; Engineering teams; Business stakeholders", "domainKnowledge" : "Financial services; Payment systems; Customer behavior analysis", "domainList" : [ "financial-services", "payment-systems", "customer-behavior-analysis" ], "domainSpecificKnowledge" : [ "Financial services", "Payment systems", "Customer behavior analysis" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "communicationSkills" : "Present findings; Translate insights", "problemSolvingSkills" : "Analytical thinking; Root cause analysis", "qualificationsBasic" : "5+ years experience in analytics, SQL proficiency, Experience with Python or R, Experience with BI tools", "qualificationsPreferred" : "Advanced degree in quantitative field, Experience with cloud platforms, Experience with ML frameworks, Experience with data warehousing", "rawDescription" : "ABOUT TIDE At Tide, we help SMEs save time and money in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions, from invoicing to accounting. Tide is transforming the small business banking market and now supports over 2 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data driven decisions to serve our mission: to help SMEs save time and money so they can get back to doing what they love. Tide facts: Tide is available for UK, Indian, German and French SMEs Over 2 million members: 900,000 UK and 1,100,000 in India and growing rapidly Over $300 million raised in funding Over 2,800 Tideans globally Recognised with Great Place to Work certification three years in a row, and among India’s Top 50 Best Workplaces in Banking, Financial Services, and Insurance in 2026 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram, New Delhi, Berlin, Paris and Luxembourg ABOUT THE ROLE: As a Head of Product Analytics you’ll work closely with Tide’s product teams to use data to drive product adoption. You’ll work within the product analytics team to use data to inform our collective understanding of users, their problems and thus inform product strategy. This role will suit an individual that can operate with a high degree of independence and has hands-on experience of proactively working with the product community. You are an expert and constructive critique of digital products with strong views on data-driven techniques to improve adoption and engagement of various products & features. You will be working as a part of the product squad with a functional reporting into the Head of Product. Some of the things you’ll be doing: Product Discovery - hypothesis driven deep dives (existing product usage data) to identify user problems, quantify size of the problem and highlight solution(s). Solution confidence - product experiments are a means to an end. They help us produce data to build confidence on the product & features we plan to invest in. You would be the product experimentation expert and would observe data, propose, design and analyse product experiments. Product and feature performance review - new features solve user user problems and drive product usage and thus adoption. You would work with product teams to identify & analyse various impact hypotheses behind new products and features and define measurable KPIs. User research - solving user problems helps us achieve commercial goals. You would identify opportunities, perform data deep dives (exploratory and hypothesis driven) to improve our collective understanding of user problems and assist working groups to focus on and prioritise high impact user problems. Goals to KPI translations - you would work with product managers to break overall revenue goals into business KPIs, identify impact hypotheses and convert into measurable product KPIs. You would work with analytics engineers to enable KPI reporting through visually speaking dashboards. Engagement to LTV correlations - engagement driven products and features have an indirect, unestablished impact on member longevity (commercially speaking LTV). We use data to establish this correlation and quantify the indirect impact. You would be required to perform custom analysis, using statistical methods to validate these correlations and assist product teams to prioritise investment on scaling product and features that have an indirect impact on engagement, longevity and thus LTV. Experimentation & product growth - you will operate with a high degree of user behaviour awareness (backed by consistent event data observation) and assist product managers by designing experiments to drive product adoption. You would use custom data analysis and statistical methods to analyse experiment results. Self Serve Product Analytics - partner with data, engineering, data product and data science teams to deliver a world-class self-serve event data analytics platform for app and web products. Our experimentation stack includes platforms like LaunchDarkly for shipping variants, Segment for events, Heap for visualisation. You would be required to partner with data-science teams to build a stats-engine for relevant KPIs for each product enabling a seamless self-serve analytics for business and product teams. You’ll be a great fit if: 10+ years of experience working on Product Analytics for a digital product. Strong hold on product strategy, experimentation, roadmapping, & prioritisation You are a consumer tech geek, preferably fintech (not mandatory). You are a natural storyteller with exceptional presentation skills. You believe and invest time in project management and have exceptional people skills. You understand and believe user experience is a product. You are humble enough to know that you need to learn, and confident enough to showcase your skills, speak your mind and even challenge the status quo. You have an intrinsic need to be excellent but have learnt to be action oriented. You have failed and can talk about it at length. You have worked as an analyst and a product manager. You have excellent SQL proficiency and are willing to crunch complex numbers. You are a self starter and can operate with a high degree of independence. You have the ability to deal with ambiguity and competing objectives in a fast paced environment. You have lead a team of analysts in Product Companies WHAT YOU’LL GET IN RETURN: The gross annual salary for this position ranges from €104,000 to €130,000 depending on your skills, and experience. But we are also open to discussing the salary further, taking into account your expertise and contributions. MELP - flexible benefit app (50 EUR per month accruing) (does not include Health Insurance) 25 days paid annual leave 3 paid days off for volunteering or L&D activities Parental Leave days (according to statutory) Family-Friendly Leave (according to statutory + extended from Tide) Personal L&D budget in the amount of 500 EUR per year Mental wellbeing platform Plumm WFH equipment allowance Sabbatical Leave Share options Team Events TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard. Disclaimer It has come to our attention that individuals or agencies are falsely claiming to represent Tide and are reaching out to candidates regarding job opportunities. Please be aware that: Tide does not charge any fees at any stage of the recruitment process. All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel. Communication from Tide will only come from an official @tide.co email address. Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf. If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process. Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy. Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.", "summaryDescription" : "Head of Product Analytics at Tide. Skills: Product Analytics, Data Science, Machine Learning, Business Intelligence. Develop and maintain analytics dashboards. Build and optimize data pipelines", "postedDate" : "2026-06-15T23:20:52.716", "createdAt" : "2026-06-15T23:20:52.716", "lastUpdated" : "2026-06-16T09:17:38.799", "ingestTimestamp" : "2026-06-15T23:20:52.716", "mongoId" : "6a3056cdf292fd229cf2efee", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data engineering", "Machine learning", "Statistical modeling", "A/B testing", "Data visualization", "Product Analytics", "Data Science", "Machine Learning", "Business Intelligence", "Data modeling", "Statistical analysis", "Experiment design", "Causal inference", "Business acumen", "Financial services", "Payment systems", "Customer behavior analysis", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "skillCount" : 44, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305148f292fd229cefdcba", "title" : "Head of Product Analytics", "company" : "Tide", "industry" : "FinTech", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Head of Product Analytics in Sofia, Bulgaria, adjusted for executive seniority in the FinTech industry." }, "location" : "Sofia", "locations" : [ "Sofia" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T06:34:48.179", "fingerprint" : "3fa85252a780f7a5d2808dd7365375c6e25a9a99ab3dd1cf4f7630276001beda", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tide/jobs/7773338003", "externalId" : "7773338003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sofia", "country" : "Bulgaria", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "42.6977028,23.3217359" } ], "locationText" : "Sofia, Bulgaria", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Statistical analysis", "Data modeling", "Experiment design", "Causal inference" ], "hardSkillsList" : [ "Regression analysis", "Classification modeling", "Clustering algorithms", "Time-series forecasting", "A/B testing" ], "hardSkills" : [ { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification modeling", "level" : "intermediate" }, { "name" : "Clustering algorithms", "level" : "intermediate" }, { "name" : "Time-series forecasting", "level" : "intermediate" }, { "name" : "A/B testing", "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 models, Build and optimize data pipelines, Design and implement ML models, Create dashboards and reports, Perform statistical analysis, Conduct A/B tests, Collaborate with stakeholders, Mentor junior analysts", "teamCollaboration" : "Cross-functional teams; Product teams; Engineering teams", "domainKnowledge" : "Financial services; Payment systems", "domainList" : [ "financial-services", "payment-systems" ], "domainSpecificKnowledge" : [ "Financial services", "Payment systems" ], "toolProficiency" : [ "Dbt", "Airflow", "MLflow" ], "communicationSkills" : "Executive presentations; Technical documentation", "documentationSkills" : "Data dictionaries; Model documentation", "continuousLearning" : "Attend conferences; Online courses", "innovationCreativity" : "Explore new technologies; Develop novel solutions", "problemSolvingSkills" : "Root cause analysis; Data interpretation", "outcomesObjectives" : "Drive data-informed decisions; Improve product performance; Enhance customer experience", "qualificationsBasic" : "5+ years experience in analytics, SQL proficiency, Experience with data visualization tools", "qualificationsPreferred" : "PhD preferred, Experience with ML frameworks, Cloud platform certifications", "rawDescription" : "ABOUT TIDE At Tide, we help SMEs save time and money in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions, from invoicing to accounting. Tide is transforming the small business banking market and now supports over 2 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data driven decisions to serve our mission: to help SMEs save time and money so they can get back to doing what they love. Tide facts: Tide is available for UK, Indian, German and French SMEs Over 2 million members: 900,000 UK and 1,100,000 in India and growing rapidly Over $300 million raised in funding Over 2,800 Tideans globally Recognised with Great Place to Work certification three years in a row, and among India’s Top 50 Best Workplaces in Banking, Financial Services, and Insurance in 2026 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram, New Delhi, Berlin, Paris and Luxembourg ABOUT THE ROLE: As a Head of Product Analytics you’ll work closely with Tide’s product teams to use data to drive product adoption. You’ll work within the product analytics team to use data to inform our collective understanding of users, their problems and thus inform product strategy. This role will suit an individual that can operate with a high degree of independence and has hands-on experience of proactively working with the product community. You are an expert and constructive critique of digital products with strong views on data-driven techniques to improve adoption and engagement of various products & features. You will be working as a part of the product squad with a functional reporting into the Head of Product. Some of the things you’ll be doing: Product Discovery - hypothesis driven deep dives (existing product usage data) to identify user problems, quantify size of the problem and highlight solution(s). Solution confidence - product experiments are a means to an end. They help us produce data to build confidence on the product & features we plan to invest in. You would be the product experimentation expert and would observe data, propose, design and analyse product experiments. Product and feature performance review - new features solve user user problems and drive product usage and thus adoption. You would work with product teams to identify & analyse various impact hypotheses behind new products and features and define measurable KPIs. User research - solving user problems helps us achieve commercial goals. You would identify opportunities, perform data deep dives (exploratory and hypothesis driven) to improve our collective understanding of user problems and assist working groups to focus on and prioritise high impact user problems. Goals to KPI translations - you would work with product managers to break overall revenue goals into business KPIs, identify impact hypotheses and convert into measurable product KPIs. You would work with analytics engineers to enable KPI reporting through visually speaking dashboards. Engagement to LTV correlations - engagement driven products and features have an indirect, unestablished impact on member longevity (commercially speaking LTV). We use data to establish this correlation and quantify the indirect impact. You would be required to perform custom analysis, using statistical methods to validate these correlations and assist product teams to prioritise investment on scaling product and features that have an indirect impact on engagement, longevity and thus LTV. Experimentation & product growth - you will operate with a high degree of user behaviour awareness (backed by consistent event data observation) and assist product managers by designing experiments to drive product adoption. You would use custom data analysis and statistical methods to analyse experiment results. Self Serve Product Analytics - partner with data, engineering, data product and data science teams to deliver a world-class self-serve event data analytics platform for app and web products. Our experimentation stack includes platforms like LaunchDarkly for shipping variants, Segment for events, Heap for visualisation. You would be required to partner with data-science teams to build a stats-engine for relevant KPIs for each product enabling a seamless self-serve analytics for business and product teams. You’ll be a great fit if: 10+ years of experience working on Product Analytics for a digital product. Strong hold on product strategy, experimentation, roadmapping, & prioritisation You are a consumer tech geek, preferably fintech (not mandatory). You are a natural storyteller with exceptional presentation skills. You believe and invest time in project management and have exceptional people skills. You understand and believe user experience is a product. You are humble enough to know that you need to learn, and confident enough to showcase your skills, speak your mind and even challenge the status quo. You have an intrinsic need to be excellent but have learnt to be action oriented. You have failed and can talk about it at length. You have worked as an analyst and a product manager. You have excellent SQL proficiency and are willing to crunch complex numbers. You are a self starter and can operate with a high degree of independence. You have the ability to deal with ambiguity and competing objectives in a fast paced environment. You have lead a team of analysts in Product Companies WHAT YOU’LL GET IN RETURN: The gross annual salary for this position ranges from €104,000 to €130,000 depending on your skills, and experience. But we are also open to discussing the salary further, taking into account your expertise and contributions. MELP - flexible benefit app (50 EUR per month accruing) (does not include Health Insurance) 25 days paid annual leave 3 paid days off for volunteering or L&D activities Parental Leave days (according to statutory) Family-Friendly Leave (according to statutory + extended from Tide) Personal L&D budget in the amount of 500 EUR per year Mental wellbeing platform Plumm WFH equipment allowance Sabbatical Leave Share options Team Events TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard. Disclaimer It has come to our attention that individuals or agencies are falsely claiming to represent Tide and are reaching out to candidates regarding job opportunities. Please be aware that: Tide does not charge any fees at any stage of the recruitment process. All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel. Communication from Tide will only come from an official @tide.co email address. Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf. If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process. Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy. Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.", "summaryDescription" : "Head of Product Analytics at Tide. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and maintain data models. Build and optimize data pipelines", "postedDate" : "2026-06-15T23:16:47.533", "createdAt" : "2026-06-15T23:16:47.533", "lastUpdated" : "2026-06-16T06:34:48.179", "ingestTimestamp" : "2026-06-15T23:16:47.533", "mongoId" : "6a305148f292fd229cefdcba", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Regression analysis", "Classification modeling", "Clustering algorithms", "Time-series forecasting", "A/B testing", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Statistical analysis", "Data modeling", "Experiment design", "Causal inference", "Financial services", "Payment systems", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt", "Airflow", "MLflow" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30854af292fd229c07834a", "title" : "Analytics Engineering Manager", "company" : "Deliveroo", "industry" : "Tech & Product Groups", "salary" : { "min" : 105000.0, "max" : 155000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Analytics Engineering Manager in London, UK, adjusted for manager seniority and the e-commerce industry." }, "location" : "London - The River Building HQ", "locations" : [ "London - The River Building HQ" ], "timestamp" : "2026-06-16T15:35:10.191", "fingerprint" : "02da0a09d824b45c295c523a6058c77d1b3857b7dd3f5ea6230a553be7d4fa43", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/deliveroo/ceb2886a-e543-4315-bc02-8d8e57f42a7c/application", "externalId" : "ceb2886a-e543-4315-bc02-8d8e57f42a7c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Data modelling", "Data quality practices", "Architectural decisions" ], "hardSkillsList" : [ "Analytics Engineering", "BI Engineering", "Data Engineering" ], "hardSkills" : [ { "name" : "Analytics Engineering", "level" : "intermediate" }, { "name" : "BI Engineering", "level" : "intermediate" }, { "name" : "Data Engineering", "level" : "intermediate" } ], "majorSkills" : "Data products mindset, Team leadership", "majorSkillsList" : [ "Data products mindset", "Team leadership" ], "coreResponsibilities" : "Lead a team of Analytics Engineers, Own the AE roadmap for domain, Identify highest-leverage investments, Prioritize competing requests, Build case for investments, Drive data products mindset, Build clear ownership, Build SLAs, Build observability, Build data contracts, Review data models, Review SQL, Guide architectural decisions, Step in hands-on, Contribute to AE-wide decisions, Shape AE standards, Shape AE culture, Shape AE direction, Build high-performing team culture, Give actionable feedback, Handle performance challenges, Handle motivation challenges, Run effective rituals, Partner with Recruiting, Hire AE talent", "teamCollaboration" : "Business stakeholders; Product stakeholders; Senior business level; Senior product level; Recruiting", "projectManagementSkills" : [ "Roadmap planning", "Prioritization" ], "domainKnowledge" : "Marketplace analytics; E-commerce analytics; Grocery analytics; Retail analytics; AI for Data; Agentic AI methods; Semantic layers; AI-assisted analytics", "domainList" : [ "marketplace-analytics", "e-commerce-analytics", "grocery-analytics", "retail-analytics", "ai-for-data", "agentic-ai-methods", "semantic-layers", "ai-assisted-analytics" ], "domainSpecificKnowledge" : [ "Marketplace analytics", "E-commerce analytics", "Grocery analytics", "Retail analytics", "AI for Data", "Agentic AI methods", "Semantic layers", "AI-assisted analytics" ], "communicationSkills" : "Influencing senior level", "problemSolvingSkills" : "Unblock your team", "outcomesObjectives" : "Deliver against roadmap with measurable business impact", "qualificationsBasic" : "Strong, hands-on SQL foundations, Proven experience managing a team, Track record of developing people, Experience owning a technical roadmap, Grounding across modern AE stack, Ability to engage credibly on technical decisions, Comfortable engaging and influencing senior business and product level", "qualificationsPreferred" : "Experience in marketplace, e-commerce, grocery or retail analytics context, Familiarity with semantic and metrics layer tooling, Python for data automation and pipeline work, Exposure to AI for Data, Agentic AI methods experience, Semantic layers experience, AI-assisted analytics workflows experience, Experience contributing to analytics ways of working", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Analytics organisation sits at the heart of Deliveroo powering decision-making across our 3 sided marketplace. We’re looking for an Analytics Engineering Manager to join our London team. This is a hybrid role, with 3 days per week on-site. In this role, you’ll lead a team of Analytics Engineers embedded in a key business domain, owning the pipelines, models and metrics that power day-to-day decisions and building the data foundations your stakeholders rely on. ABOUT THE ANALYTICS ENGINEERING ORG Analytics Engineering is a core pillar of Deliveroo’s Analytics organisation, alongside Data Science. With over 70 Analytics Engineers across the UK and India, we are embedded directly within product and business domains, owning the pipelines, models and metrics that power decision-making at scale: from self-serve AI-enabled analytics and experimentation through to executive reporting and strategic planning. The discipline is evolving fast. With new tooling changing how we work, we are shifting from building data pipelines to building AI first data products, developing rich semantic and data context layers and empowering self-serve data users. This role leads that work across a defined business domain, directly managing a team of Analytics Engineers and helping shape AE standards, culture and direction across the wider org. WHAT YOU'LL BE DOING - Directly lead a team of Analytics Engineers embedded in a defined business domain, owning their performance, development and wellbeing - Own the AE roadmap for your domain, identifying the highest-leverage investments, prioritising competing requests, and building the case for them with your business and product stakeholders - Drive a data products mindset across your estate: clear ownership, SLAs, observability and data contracts built into how your team works by default - Maintain strong technical involvement: reviewing data models and SQL, guiding architectural decisions, and stepping in hands-on when your team needs unblocking - Contribute to AE-wide decisions on tooling, standards and process, helping shape how Analytics Engineering works at Deliveroo beyond your immediate team - Build a high-performing, inclusive team culture by giving regular and actionable feedback, handling performance and motivation challenges, and running effective rituals - Partner with Recruiting to hire strong, diverse AE talent into your team WHAT YOU'LL NEED TO THRIVE ESSENTIAL - Experience in an Analytics Engineering, BI Engineering, or Data Engineering role, with strong, hands-on SQL foundations you still draw on regularly - Proven experience managing a team of ICs, with a track record of developing people, giving hard feedback, and handling typical team situations independently - Demonstrated ability to own a technical roadmap for a domain area and deliver against it with measurable business impact - Strong grounding across the modern AE stack (cloud data warehousing, transformation tooling, data modelling, and data quality practices), with the ability to engage credibly on technical decisions and unblock your team - Comfortable engaging and influencing at senior business and product level, with experience aligning analytics investment to domain priorities NICE TO HAVE - Experience in a marketplace, e-commerce, grocery or retail analytics context - Familiarity with semantic and metrics layer tooling, or Python for data automation and pipeline work - Exposure to AI for Data, including agentic AI methods, semantic layers, or AI-assisted analytics workflows - Experience contributing to analytics ways of working: documentation standards, peer review processes, onboarding, and knowledge sharing WHY JOIN US? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: \uD83D\uDD27 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. \uD83C\uDF31See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. \uD83E\uDDE0Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. \uD83C\uDF0EA culture built for builders High standards, collaboration, flexible working and continuous learning. \uD83D\uDCB0 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. OUR GLOBAL STRUCTURE Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. DIVERSITY, EQUITY AND INCLUSION At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!", "summaryDescription" : "Analytics Engineering Manager at Deliveroo. Skills: Data products mindset, Team leadership. Lead a team of Analytics Engineers. Own the AE roadmap for domain", "createdAt" : "2026-06-16T01:59:25.109", "lastUpdated" : "2026-06-16T15:35:10.191", "ingestTimestamp" : "2026-06-16T01:59:25.109", "mongoId" : "6a30854af292fd229c07834a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Analytics Engineering", "BI Engineering", "Data Engineering", "Data products mindset", "Team leadership", "Data modelling", "Data quality practices", "Architectural decisions", "Roadmap planning", "Prioritization", "Marketplace analytics", "E-commerce analytics", "Grocery analytics", "Retail analytics", "AI for Data", "Agentic AI methods", "Semantic layers", "AI-assisted analytics" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307a21f292fd229c03866c", "title" : "Manager, Data Analytics", "company" : "Empower Pharmacy", "industry" : "Pharma", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Manager, Data Analytics in Houston, United States, adjusted for the healthcare industry and manager seniority." }, "location" : "Houston, Texas, United States", "locations" : [ "Houston", "Texas", "United States" ], "timestamp" : "2026-06-16T13:26:43.592", "fingerprint" : "05f21b76f4c8516ae23bcccc23667970a3adf873d1d9a6b9878b1eb579f324ae", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.empowerpharmacy.com/jobs/4282342009?gh_jid=4282342009", "externalId" : "4282342009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "AI", "professionalSkills" : [ "Data governance", "Compliance" ], "hardSkillsList" : [ "Data analytics" ], "softSkillsList" : [ "Customer Focus", "Strategic AI", "Optimizes Work Processes", "Collaborates", "Resourcefulness", "Manages Complexity", "Ensures Accountability", "Situational Adaptability", "Communicates Effectively" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer Focus" }, { "name" : "Strategic AI" }, { "name" : "Optimizes Work Processes" }, { "name" : "Collaborates" }, { "name" : "Resourcefulness" }, { "name" : "Manages Complexity" }, { "name" : "Ensures Accountability" }, { "name" : "Situational Adaptability" }, { "name" : "Communicates Effectively" } ], "coreResponsibilities" : "Leverage AI to drive business innovation, Enhance data analytics capabilities", "domainKnowledge" : "Healthcare; Pharmaceutical manufacturing", "domainList" : [ "healthcare", "pharmaceutical-manufacturing" ], "domainSpecificKnowledge" : [ "Healthcare", "Pharmaceutical manufacturing" ], "specialRequirements" : "Talk and hear, Remain stationary, Use hands and fingers, Move about the office, Stand, walk, reach, Climb or balance, Stoop, kneel, crouch or crawl", "qualificationsBasic" : "5 years of experience in data analytics, 2 years in a leadership position, Experience in a highly regulated industry", "qualificationsPreferred" : "Proven track record of leveraging AI", "remoteFriendly" : false, "rawDescription" : "Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable medication accessible to millions of patients nationwide. As the nation’s most advanced 503A compounding pharmacy and FDA-registered 503B outsourcing facility, we’re redefining what’s possible in personalized medicine and pharmaceutical manufacturing. We’re proud to be recognized as one of Houston’s fastest-growing private companies and ranked #116 in Healthcare Master’s preferred. Minimum of 5 years of experience in data analytics or related roles, with at least 2 years in a leadership position. Proven track record of leveraging AI to drive business innovation and enhance data analytics capabilities. Experience in a highly regulated industry, with a deep understanding of data governance and compliance. Key Competencies: Customer Focus: Builds trust through customer-centric solutions. Strategic AI: Guides responsible AI adoption and adaptation. Optimizes Work Processes: Drives efficiency with continuous improvement. Collaborates: Partners effectively to achieve shared goals. Resourcefulness: Secures and deploys resources efficiently. Manages Complexity: Simplifies and solves complex challenges. Ensures Accountability: Delivers on commitments with integrity. Situational Adaptability: Adjusts approach to shifting conditions. Communicates Effectively: Tailors messages to diverse audiences. Values: People: Empowering people defines who we are. Quality: Excellence in every product, every time. Service: Serving others is our highest purpose. Innovation: Advancing care through technology and discovery. Employee Benefits, Health and Wellness: We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Learn more: https://careers.empowerpharmacy.com/benefits/ Physical Requirements: While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. Employees are regularly required to move about the office and around the corporate campus. The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.", "summaryDescription" : "Manager, Data Analytics at Empower Pharmacy. Leverage AI to drive business innovation. Enhance data analytics capabilities", "postedDate" : "2026-06-16T01:17:33.811", "createdAt" : "2026-06-16T01:17:33.811", "lastUpdated" : "2026-06-16T13:26:43.592", "ingestTimestamp" : "2026-06-16T01:17:33.811", "mongoId" : "6a307a21f292fd229c03866c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analytics", "Customer Focus", "Strategic AI", "Optimizes Work Processes", "Collaborates", "Resourcefulness", "Manages Complexity", "Ensures Accountability", "Situational Adaptability", "Communicates Effectively", "Data governance", "Compliance", "Healthcare", "Pharmaceutical manufacturing" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305930f292fd229cf45a2c", "title" : "Manager, BizOps & Analytics", "company" : "Jerry. ai", "industry" : "Data", "salary" : { "min" : 150000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York, New York", "locations" : [ "New York, New York", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "Miami, Florida", "San Francisco Bay Area" ], "timestamp" : "2026-06-16T10:30:25.853", "fingerprint" : "8e5f537eeecee3ecfaa146354d28d42d7d6fcc6b8309023cd9f563c2a62d9e5a", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/b834e277-07fb-4996-bcbb-ef8819da2278/application", "externalId" : "b834e277-07fb-4996-bcbb-ef8819da2278", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Analytical problem solving" ], "hardSkillsList" : [ "Data analysis", "Metrics definition", "Report building", "Experiment design" ], "softSkillsList" : [ "Direct communicator", "Owner" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Metrics definition", "level" : "intermediate" }, { "name" : "Report building", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communicator" }, { "name" : "Owner" } ], "majorSkills" : "BizOps, Analytics, Data insights, Decision making", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights", "Decision making" ], "coreResponsibilities" : "Define business questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Inform product teams, Inform growth teams, Inform finance teams, Inform operations teams", "teamCollaboration" : "Embedded in business units; Cross-functional collaboration", "domainKnowledge" : "Car insurance; Driving insights; Car maintenance; Car repair; Home ownership; Motorcycle ownership; RV ownership", "domainList" : [ "car-insurance", "driving-insights", "car-maintenance", "car-repair", "home-ownership", "motorcycle-ownership", "rv-ownership" ], "domainSpecificKnowledge" : [ "Car insurance", "Driving insights", "Car maintenance", "Car repair", "Home ownership", "Motorcycle ownership", "RV ownership" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Precise speaking; Clear writing", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems; Formulate hypotheses", "outcomesObjectives" : "Move key metrics; Drive business impact; Grow customer base; Achieve $10B valuation", "qualificationsBasic" : "4+ years consulting firm experience, 4+ years investment bank experience, 4+ years high-growth tech company experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record of owning ambiguous problems, Track record of delivering impact, Clear communicator, Persuasive communicator, Influence decisions at leadership level", "remoteFriendly" : false, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 4+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Manager, BizOps & Analytics at Jerry. ai. Skills: BizOps, Analytics, Data insights, Decision making. Define business questions. Define metrics", "createdAt" : "2026-06-16T00:30:28.593", "lastUpdated" : "2026-06-16T10:30:25.853", "ingestTimestamp" : "2026-06-16T00:30:28.593", "mongoId" : "6a305930f292fd229cf45a2c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 170000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Metrics definition", "Report building", "Experiment design", "Direct communicator", "Owner", "BizOps", "Analytics", "Data insights", "Decision making", "First principles thinking", "Analytical problem solving", "Car insurance", "Driving insights", "Car maintenance", "Car repair", "Home ownership", "Motorcycle ownership", "RV ownership", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 24, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305098f292fd229cef28f0", "title" : "Manager, BizOps & Analytics", "company" : "Jerry. ai", "industry" : "Data", "salary" : { "min" : 150000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Los Angeles, California", "locations" : [ "Los Angeles, California", "Chicago, Illinois", "Raleigh, North Carolina", "Nashville, Tennessee", "Phoenix, Arizona", "Salt Lake City, Utah", "Dallas, Texas" ], "timestamp" : "2026-06-16T11:53:03.487", "fingerprint" : "16310d9f286f3dc3f2bb697a6be37696d42ad4eb4074ea27b540c5adcfeef60a", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/334d286d-4326-4c65-9327-68363bf6c26c/application", "externalId" : "334d286d-4326-4c65-9327-68363bf6c26c", "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", "experienceLevel" : "Manager", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Data analysis", "Business analysis" ], "hardSkillsList" : [ "Data interpretation", "Data structuring", "Data pulling" ], "softSkillsList" : [ "Direct communication" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data pulling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communication" } ], "majorSkills" : "BizOps, Analytics, Problem solving", "majorSkillsList" : [ "BizOps", "Analytics", "Problem solving" ], "coreResponsibilities" : "Define business questions, Define analytical metrics, Build analytical reports, Run analytical analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Inform product teams, Inform growth teams, Inform finance teams, Inform operations teams", "teamCollaboration" : "Embedded business unit teams", "domainKnowledge" : "Car insurance; Driving insights; Vehicle diagnostics; Repair marketplace; Home insurance; Motorcycle insurance; RV insurance", "domainList" : [ "car-insurance", "driving-insights", "vehicle-diagnostics", "repair-marketplace", "home-insurance", "motorcycle-insurance", "rv-insurance" ], "domainSpecificKnowledge" : [ "Car insurance", "Driving insights", "Vehicle diagnostics", "Repair marketplace", "Home insurance", "Motorcycle insurance", "RV insurance" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Write clearly; Speak precisely", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems", "outcomesObjectives" : "Grow 5M to 50M customers; Become $10B business", "qualificationsBasic" : "4+ years consulting firm experience, 4+ years investment bank experience, 4+ years high-growth tech company experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record owning ambiguous problems, Track record delivering impact, Clear communicator influence leadership, Persuasive communicator influence leadership", "remoteFriendly" : true, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 4+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Manager, BizOps & Analytics at Jerry. ai. Skills: BizOps, Analytics, Problem solving. Define business questions. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 4+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Manager, BizOps & Analytics at Jerry. ai. Skills: BizOps, Analytics, Data insights. Define business questions. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 4+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. 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WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives. We’re seeking a strategic, insights-oriented Health Product Analytics Senior Manager to join our Product Analytics team and support the Healthcare Product group. This role is ideal for someone who is passionate about behavior change, health outcomes, and creating world-class digital experiences. You’ll support the development of new features focused on early detection, physiological coaching, and personalized health guidance. We are looking for an individual who can be fluent in data, driven by product thinking and is looking to deeply understand and tackle complex analytics challenges. This person should feel empowered to foster their own curiousity and raise support for ideas that meaningfully impact the WHOOP member experience. Ultimately this person should feel comfortable getting their hands dirty as a player-coach, leading and developing analysts alongside their own workstreams. RESPONSIBILITIES: - - Partner with key stakeholders across the Product team, as well as Software, UX, Data Science, Marketing, and Strategic Finance teams to align on goals and quantify impact for key member touchpoints, and identify new sources of value for our members. - Help build and refine health-specific KPIs, including engagement with relevant features, adoption of recommended behaviors, and member-reported value. - Uncover insights about key member segments — including those managing hormonal health, cardiometabolic health, or looking for more personalized wellness support. - Create repeatable tools and processes for analytics across new health features and algorithms— from data pipelines to dashboards and weekly health performance reviews. - Generate and drive the strategic analytic roadmap to unlock insights about our members, how they are using the product and guide our product team with action-oriented recommendations. - Collaborate with a high-performance team, providing thought leadership to identify the most impactful ways to drive decisions and improve retention. - Manage, mentor, and grow a team of analysts, fostering a culture of high performance and continuous improvement. QUALIFICATIONS: - - 8+ years of experience in a deeply strategic/analytical role, including partnership with product and development teams and - Direct experience leading and developing a team, including driving large projects and mentoring junior analysts. - A true player-coach; able to independently take broad business questions, wrangle appropriate data, quickly isolate and model key insights, visualize results and communicate actionable recommendations. - Strong storytelling skills – able to create compelling and concise presentations that convey actionable solutions to complex, ambiguous problems. - Demonstrated success in influencing senior stakeholders and leadership on strategic direction based on analytical recommendations. - Experience and knowledge running experiments (e.g. A/B testing) and working with development teams - Advanced skills in SQL and understanding of ELT (dbt) and data warehousing (Snowflake) structures, as well as data visualization (eg. Looker, Tableau, Hex) This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $170,000 - $200,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. 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: "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3056caf292fd229cf2ec11", "title" : "Analytics Engineer", "company" : "Dashlane", "industry" : "SaaS", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Analytics Engineer in Paris, France, adjusted for mid-seniority in the technology industry." }, "location" : "Paris, France", "locations" : [ "Paris", "France" ], "timestamp" : "2026-06-16T08:18:32.514", "fingerprint" : "fff1cba27d816a1cae570db6f050f666615963834c8e243aa36d1b19925db66b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dashlane/jobs/7988501", "externalId" : "7988501", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Paris", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8534951,2.3483915" } ], "locationText" : "Paris, France", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, Dbt, AWS, Redshift, S3, Lambda, Kinesis, Glue, Airflow, GitLab, Claude Code", "professionalSkills" : [ "Data modeling", "Data transformation", "AI integration" ], "hardSkillsList" : [ "Data analysis", "Business intelligence", "AI tooling" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "AI tooling", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Analytics engineering, AI implementation", "majorSkillsList" : [ "Data engineering", "Analytics engineering", "AI implementation" ], "coreResponsibilities" : "Uncover true business need, Drive alignment on initiatives, Take ownership of initiatives, Integrate GenAI tooling, Accelerate development with AI, Mentor organisation on AI tools", "teamCollaboration" : "Collaborative team environment", "domainKnowledge" : "Credential security", "domainList" : [ "credential-security" ], "domainSpecificKnowledge" : [ "Credential security" ], "toolProficiency" : [ "Dbt", "Airflow", "GitLab", "Claude Code" ], "continuousLearning" : "Value learning", "innovationCreativity" : "Drive innovation", "problemSolvingSkills" : "Untangle complex data puzzles", "outcomesObjectives" : "Drive efficiency with AI; Drive creativity with AI; Drive impact with AI", "qualificationsBasic" : "Fluent in English, 5+ years experience", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "About Dashlane Dashlane’s mission is to deliver the credential security every business and employee needs to thrive. Millions of consumers, and over 25,000 brands worldwide, such as Michelin, Air France, and Forrester, trust Dashlane for industry-leading innovations, patented zero-knowledge security, and an unmatched user experience. Founded in Paris, Dashlane has since established offices in New York and Lisbon, and has grown to more than 300 Dashlaners globally. We're looking for people who actively use AI tools to drive efficiency, creativity, and impact in their work. At Dashlane, we drive innovation and value learning, strive for excellence in everything we do, and thrive as one team. Learn more about life at Dashlane, including how we work, how we hire, and the benefits of being a Dashlaner. About the role: At Dashlane, we believe that data is an engine of growth and the voice of our customer. We are looking for a Analytics Engineer to join our collaborative and impact-driven Data you uncover the true business need, drive alignment, and take proactive ownership of initiatives from end to end. You are an \"AI Champion.\" You are fluent with AI coding platforms such as Claude Code and you already have demonstrated experience integrating modern GenAI tooling into your day-to-day analytics workflow to accelerate development, and you are eager to mentor the rest of the organisation on these tools. You thrive in an autonomous, high-exposure environment and have a relentless curiosity to untangle complex data puzzles. You are fluent in English: verbal and written. Our Tech Stack: Data Modeling & Transformation: dbt Programming Languages: SQL, Python Data Platform: AWS (Redshift, S3, Lambda, Kinesis, Glue) BI & Visualisation: Omni Orchestration: Airflow CI/CD & Version Control: GitLab AI: Claude Code What Dashlane offers you: Flex Benefits - allocate a monthly amount to a pool of benefits Health insurance covered by Dashlane 5 extra vacation days each year, plus your birthday off Company wide well-being days (one per quarter) Equal Parental leave - up to 20 weeks fully paid leave, within the first year of birth or adoption Work schedule exemption - plan your work schedule in alignment with your manager Donation matching program - Dashlane will match your donations to organizations driving positive impact in historically marginalized communities Access mental health services through Spring Health, available for you and your family members Team building & social events - weekly lunch in the office and monthly happy hour and much more Diversity, Equity, Inclusion and Belonging at Dashlane: As a truly international company—founded in France and distributed across France, US and Portugal—Dashlane thrives off diverse perspectives. We value all aspects of diversity: gender identity, sexual orientation, ability, ethnic origin, social background, age, lifestyle, and more. We are committed to hiring a diverse community and fostering a culture where everyone is heard and belongs. See more about this here. Your interview experience: To know what to expect once you’ve sent your application, read about how we interview and hire at Dashlane. Feel free to browse our blog to find more information about our product and how we work.", "summaryDescription" : "Analytics Engineer at Dashlane. Skills: Data engineering, Analytics engineering, AI implementation. Uncover true business need. Drive alignment on initiatives", "postedDate" : "2026-06-15T23:20:00.195", "createdAt" : "2026-06-15T23:20:00.195", "lastUpdated" : "2026-06-16T08:18:32.514", "ingestTimestamp" : "2026-06-15T23:20:00.195", "mongoId" : "6a3056caf292fd229cf2ec11", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Business intelligence", "AI tooling", "Data engineering", "Analytics engineering", "AI implementation", "Data modeling", "Data transformation", "AI integration", "Credential security", "Dbt", "Airflow", "GitLab", "Claude Code" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2da98474d8ee00a0c794bb", "title" : "Associate Analytics Strategy Lead", "company" : "IQVIA", "industry" : "Healthcare", "salary" : { "min" : 30800.0, "max" : 46200.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bratislava, Slovakia", "locations" : [ "Bratislava, Slovakia" ], "timestamp" : "2026-06-15T22:43:40.490", "fingerprint" : "ce8a977401b5238e4baccf1a5fd3f70a8af09db9fe85ddb8157aa8e04a07f0c8", "source" : "workday", "language" : "en", "applyUrl" : "https://iqvia.wd1.myworkdayjobs.com/IQVIA/job/Bratislava-Slovakia/Associate-Analytics-Strategy-Lead_R1550943", "externalId" : "R1550943", "industryFunction" : { }, "locationPoint" : "48.14816,17.10674", "structuredLocations" : [ { "city" : "Bratislava", "country" : "Slovakia", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.1516988,17.1093063" } ], "locationText" : "Bratislava, Slovakia", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Clinical strategy", "Data insights", "Client engagement", "Strategic planning", "Consulting" ], "hardSkillsList" : [ "Translate data", "Market intelligence" ], "softSkillsList" : [ "Confidence", "Critical thinking", "Analytical mindset", "Mentoring" ], "hardSkills" : [ { "name" : "Translate data", "level" : "intermediate" }, { "name" : "Market intelligence", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Confidence" }, { "name" : "Critical thinking" }, { "name" : "Analytical mindset" }, { "name" : "Mentoring" } ], "majorSkills" : "Analytics strategy, Clinical studies, Client recommendations", "majorSkillsList" : [ "Analytics strategy", "Clinical studies", "Client recommendations" ], "coreResponsibilities" : "Contribute to winning new business, Shape strategies for clinical studies, Prepare strategic recommendations, Present strategic recommendations, Participate in bid defense meetings, Translate data into insights, Support decision-making, Collaborate with cross-functional teams, Build robust proposals, Lead internal planning discussions, Present analytical findings, Conduct research using scientific literature, Conduct research using internal systems, Conduct research using market intelligence, Support junior team members, Mentor junior team members", "teamCollaboration" : "Internal stakeholders; Clients; Cross-functional teams; Medical teams; Therapeutic strategy teams; Business development teams; Operations teams", "domainKnowledge" : "Clinical research; Clinical trial landscape; Drug development process; Therapeutic areas", "domainList" : [ "clinical-research", "clinical-trial-landscape", "drug-development-process", "therapeutic-areas" ], "domainSpecificKnowledge" : [ "Clinical research", "Clinical trial landscape", "Drug development process", "Therapeutic areas" ], "communicationSkills" : "Presenting to stakeholders; Influence and challenge; Simplify complex data; Clear messages", "qualificationsBasic" : "3+ years in clinical research, Degree in life sciences or healthcare", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join IQVIA and work at the intersection of clinical strategy, data insights and client engagement. This role sits within our planning and strategic services team and focuses on turning data into clear, compelling recommendations that help win and deliver clinical studies. This is not a back-end analytics role. You will act as a strategic partner to internal teams and clients, bringing confidence, strong communication and critical thinking into high-impact discussions, including bid defense meetings. **What you’ll do** * Contribute to winning new business by shaping country, site and enrollment strategies for clinical studies * Prepare and present strategic recommendations to internal stakeholders and clients, including participation in bid defense meetings * Translate data and analysis into clear, practical insights that support decision-making * Collaborate with cross-functional teams (medical, therapeutic strategy, business development, operations) to build robust proposals * Lead internal planning discussions and present analytical findings in a confident, structured way * Conduct research across therapeutic areas using scientific literature, internal systems and market intelligence * Support and mentor junior team members **What we’re looking for** * Experience in clinical research (around 3+ years), ideally within CRO, pharma or biotech * Strong understanding of the clinical trial landscape and drug development process * Confidence presenting to stakeholders, with the ability to influence and challenge constructively * Excellent communication skills, with the ability to simplify complex data into clear messages * Analytical mindset, but with a clear interest in strategy, consulting or client engagement * Ability to work independently, prioritize effectively and manage multiple deadlines * Degree in life sciences, healthcare or a related field **Why join IQVIA?** You’ll be part of a global team driving smarter, faster clinical development through data, strategy and collaboration. This role offers strong visibility, exposure to clients and opportunities to develop both your strategic and presentation skills in a fast-paced environment. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at [https://jobs.iqvia.com](https://jobs.iqvia.com/) IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism. The potential base pay range for this role, when annualized, is 30 800,00 € - 46 200,00 €. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.", "summaryDescription" : "Associate Analytics Strategy Lead at IQVIA. Skills: Analytics strategy, Clinical studies, Client recommendations. Contribute to winning new business. Shape strategies for clinical studies", "postedDate" : "2026-06-13T21:55:11.034", "createdAt" : "2026-06-14T21:55:11.021", "lastUpdated" : "2026-06-15T22:43:40.490", "ingestTimestamp" : "2026-06-14T21:55:11.021", "mongoId" : "6a2da98474d8ee00a0c794bb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://iqvia.wd1.myworkdayjobs.com/IQVIA/job/Bratislava-Slovakia/Associate-Analytics-Strategy-Lead_R1550943", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Translate data", "Market intelligence", "Confidence", "Critical thinking", "Analytical mindset", "Mentoring", "Analytics strategy", "Clinical studies", "Client recommendations", "Clinical strategy", "Data insights", "Client engagement", "Strategic planning", "Consulting", "Clinical research", "Clinical trial landscape", "Drug development process", "Therapeutic areas" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6b4374d8ee00a0910f24", "title" : "Staff Analytics, Product & Marketing", "company" : "EarnIn", "industry" : "FinTech", "salary" : { "min" : 215000.0, "max" : 263000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Mountain View, California, United States", "locations" : [ "Mountain View", "California", "United States" ], "timestamp" : "2026-06-16T01:10:19.088", "fingerprint" : "043ab32fd9448a8004b95cf62046870977c314421b43aeee401d291c508f19b7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/earnin/jobs/8001075", "externalId" : "8001075", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Staff", "technicalSkills" : "SQL, Python, Experimentation, Statistical modeling, AI, LLMs, Automation, Uplift modeling, Causal inference, Databricks, Snowflake, Dbt, Amplitude, Looker", "professionalSkills" : [ "Analytics strategy", "Product analytics", "Growth analytics", "Causal measurement", "Experimentation frameworks", "Measurement approaches", "Modeling approaches", "Uplift modeling", "Causal inference", "Experimentation rigor", "Data modeling" ], "hardSkillsList" : [ "Analytics", "Data science", "Statistical modeling", "Experimentation", "Causal inference", "Uplift modeling", "Product analytics", "Growth analytics", "AI-driven workflows" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Analytics", "level" : "intermediate" }, { "name" : "Data science", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Uplift modeling", "level" : "intermediate" }, { "name" : "Product analytics", "level" : "intermediate" }, { "name" : "Growth analytics", "level" : "intermediate" }, { "name" : "AI-driven workflows", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Analytics strategy, AI-driven analytics, Product analytics, Growth analytics", "majorSkillsList" : [ "Analytics strategy", "AI-driven analytics", "Product analytics", "Growth analytics" ], "coreResponsibilities" : "Shape analytics strategy, Drive analytics strategy, Mentor the team, Develop the team, Collaborate with Marketing, Collaborate with Product, Collaborate with Engineering, Translate business needs, Build AI-driven pipelines, Surface insights proactively, Scale decision-making, Build AI-driven analytics agents, Automate workflows, Productionize systems at scale, Develop experimentation frameworks, Develop causal measurement frameworks, Develop product analytics frameworks, Design measurement approaches, Implement measurement approaches, Design modeling approaches, Implement modeling approaches, Develop deep understanding, Identify opportunities for growth, Identify risks for growth, Identify levers for growth, Communicate insights clearly, Influence product roadmaps, Influence marketing roadmaps", "teamCollaboration" : "Cross-functional partners; Product teams; Engineering teams; Marketing teams; Executives; Cross-functional leaders", "domainKnowledge" : "Earned wage access; Fintech; Consumer tech; Product analytics; Growth analytics; Acquisition; Activation; Engagement; Retention; Monetization; LTV; Paid surfaces; Owned surfaces; Product surfaces", "domainList" : [ "earned-wage-access", "fintech", "consumer-tech", "product-analytics", "growth-analytics", "acquisition", "activation", "engagement", "retention", "monetization", "ltv", "paid-surfaces", "owned-surfaces", "product-surfaces" ], "domainSpecificKnowledge" : [ "Earned wage access", "Fintech", "Consumer tech", "Product analytics", "Growth analytics", "Acquisition", "Activation", "Engagement", "Retention", "Monetization", "LTV", "Paid surfaces", "Owned surfaces", "Product surfaces" ], "toolProficiency" : [ "Databricks", "Snowflake", "Dbt", "Amplitude", "Looker" ], "communicationSkills" : "Storytelling; Technical audiences; Non-technical audiences", "innovationCreativity" : "AI-driven workflows; Automation", "problemSolvingSkills" : "Actionable insights; Identify opportunities; Identify risks; Identify levers", "outcomesObjectives" : "Drive user growth; Drive user engagement; Transform analytics operations; Scale decision-making", "qualificationsBasic" : "7+ years in analytics, 7+ years data science, Deep hands-on execution, SQL technical skills, Python technical skills, Experimentation technical skills, Statistical modeling technical skills, Experience building AI-driven analytics workflows, Solid background in product analytics, Solid background in growth analytics, Experience with causal inference, Experience with uplift modeling, Experience with experimentation frameworks, Ability to operate as high-leverage IC, Partner closely with executives, Partner closely with cross-functional leaders, Excellent communication skills, Excellent storytelling skills", "qualificationsPreferred" : "Experience in fintech a plus, Experience in consumer tech a plus, Experience in data-driven product organizations a plus, Familiarity with modern data stacks a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. POSITION SUMMARY We are seeking a Staff Analyst to partner closely with the CMO and product leadership to drive user growth and engagement. This leader will shape and drive the analytics strategy, mentor and develop the team, and collaborate cross-functionally with Marketing, Product, and Engineering to translate business needs into actionable insights. The primary goal of this position is to architect and build agentic workflows that transform how analytics operates: design AI-driven pipelines that work autonomously, surface insights proactively, and scale decision-making across the organization. You bring both the strategic vision to see where automation unlocks the most value, and the hands-on depth to get into the data and build it yourself. The Mountain View base salary range for this full-time position is $215,000 to $263,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Mountain View, requiring in-office work 2 days a week. WHAT YOU'LL DO Collaborate with Product, Engineering, Marketing, and cross‑functional partners to inform, influence, and execute strategy across product and growth surfaces. Build AI‑driven analytics agents that automate workflows such as experimentation readouts, funnel diagnostics, anomaly detection, and business reviews, and partner with Engineering to productionize these systems at scale. Develop and maintain experimentation, causal measurement, and product analytics frameworks that support acquisition, activation, engagement, retention, monetization, and LTV. Design and implement measurement and modeling approaches across paid, owned, and product surfaces, using uplift modeling, causal inference, and experimentation rigor (MMM optional). Develop a deep understanding of complex product and marketing systems to identify opportunities, risks, and levers for growth. Communicate insights clearly to technical and non‑technical audiences, influencing product and marketing roadmaps through data, modeling, and AI‑driven insights. WHAT WE'RE LOOKING FOR 7+ years in analytics, data science with deep hands‑on execution. Strong technical skills in SQL, Python, experimentation, and statistical modeling. Experience building AI‑driven analytics workflows (LLMs, agents, automation, or similar). Solid background in product and growth analytics across activation, engagement, retention, and monetization. Experience with causal inference, uplift modeling, and experimentation frameworks. Ability to operate as a high‑leverage IC who partners closely with executives and cross‑functional leaders. Excellent communication and storytelling skills for technical and non‑technical audiences. Experience in fintech, consumer tech, or data‑driven product organizations is a plus. Familiarity with modern data stacks (Databricks, Snowflake, dbt, Amplitude, Looker) is a plus #LI-Hybrid At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant. EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.", "summaryDescription" : "Staff Analytics, Product & Marketing at EarnIn. Skills: Analytics strategy, AI-driven analytics, Product analytics, Growth analytics. Shape analytics strategy. Drive analytics strategy", "postedDate" : "2026-06-14T18:33:18.417", "createdAt" : "2026-06-14T18:33:18.417", "lastUpdated" : "2026-06-16T01:10:19.088", "ingestTimestamp" : "2026-06-14T18:33:18.417", "mongoId" : "6a2c6b4374d8ee00a0910f24", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 263000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Analytics", "Data science", "Statistical modeling", "Experimentation", "Causal inference", "Uplift modeling", "Product analytics", "Growth analytics", "AI-driven workflows", "Leadership", "Mentoring", "Analytics strategy", "AI-driven analytics", "Causal measurement", "Experimentation frameworks", "Measurement approaches", "Modeling approaches", "Experimentation rigor", "Data modeling", "Earned wage access", "Fintech", "Consumer tech", "Acquisition", "Activation", "Engagement", "Retention", "Monetization", "LTV", "Paid surfaces", "Owned surfaces", "Product surfaces", "Databricks", "Snowflake", "Dbt", "Amplitude", "Looker" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308b88f292fd229c09974e", "title" : "Product Analytics Manager", "company" : "Versant", "industry" : "Entertainment", "salary" : { "min" : 155000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Product Analytics Manager in Universal City, United States, adjusted for manager seniority and the media industry." }, "location" : "Universal City, CA, United States", "locations" : [ "Universal City", "CA", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T13:53:52.845", "fingerprint" : "0209debc019337c6e2c4addb3fe940233db9b9f0ce475557b05566142064546f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Versant3/744000131968235-product-analytics-manager", "externalId" : "744000131968235", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Universal City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "34.1419225,-118.3584110" } ], "locationText" : "Universal City, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Quantitative analysis" ], "hardSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data science", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "ML/AI", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence" ], "coreResponsibilities" : "Develop and implement data science models, Build and maintain data pipelines, Design and deploy ML/AI solutions, Create and manage BI dashboards, Perform quantitative analysis, Collaborate with engineering teams, Ensure data quality and integrity, Stay updated on industry trends", "teamCollaboration" : "Cross-functional teams; Stakeholders", "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "qualificationsBasic" : "5+ years experience, Bachelor's degree, SQL proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant’s sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. We're looking for a strategic and data-driven Product Analytics Manager to advance our streaming and ticketing platforms, driving audience growth and revenue. This role will lead analytics initiatives that enhance content discovery, improve conversion, and optimize the end-to-end streaming and ticketing experience. You'll partner closely with Product, Content, Marketing, and Engineering teams to translate data into insights that inform product decisions, improve customer experiences, and accelerate growth & monetization. Key Responsibilities * Define and track product KPIs across the user lifecycle, including feature adoption, conversion and engagement * Analyze cross-platform user behavior (web, mobile, CTV) to identify opportunities to improve discovery and conversion * Partner with Product to evaluate feature performance and prioritize enhancements * Identify friction points in user journeys and recommend solutions to improve conversion and revenue * Collaborate cross-functionally to support and execute conversion-focused initiatives * Design and analyze A/B tests to optimize product experiences and improve purchase completion * Develop dashboards and reporting to monitor product performance and funnel metrics * Leverage Adobe Analytics and large-scale behavioral datasets (via SQL) to generate actionable insights on user engagement, content performance, and conversion * Partner with Data Engineering and Data Implementation teams to improve tracking, data quality, and analytics reliability * Present insights and recommendations to inform product strategy ## Qualifications * 5+ years of experience in product analytics, preferably within media, entertainment, streaming or digital commerce * Strong hands-on experience with Adobe Analytics (required) * Advanced proficiency in SQL for large-scale data analysis (required) * Experience with cloud data platforms (e.g. Databricks, Snowflake, Redshift) * Experience analyzing user engagement, content performance, and conversion funnels within subscription or transactional business models * Proven experience with A/B testing and experimentation frameworks * Experience with data visualization tools (e.g., Tableau, Looker) * Strong storytelling skills with the ability to communicate insights to both technical and non-technical audiences Additional Information Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. Subject to change based on business need. 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. Salary range: $110,000 - $130,000 (bonus-eligible) ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media'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. For LA County and City Residents Only: VERSANT Media will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable. 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 [candidateaccessibility@versantmedia.com](mailto:candidateaccessibility@versantmedia.com). VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.", "summaryDescription" : "Product Analytics Manager at Versant. Skills: Data science, Data engineering, ML/AI, Business intelligence. Develop and implement data science models. Build and maintain data pipelines", "postedDate" : "2026-06-12T18:44:44.000", "createdAt" : "2026-06-16T03:31:08.692", "lastUpdated" : "2026-06-16T13:53:52.845", "ingestTimestamp" : "2026-06-16T03:31:08.692", "mongoId" : "6a308b88f292fd229c09974e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Quantitative analysis", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305d29f292fd229cf64d69", "title" : "Product Analytics Manager", "company" : "Versant", "industry" : "Entertainment", "salary" : { "min" : 155000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Product Analytics Manager in Universal City, United States, adjusted for manager seniority and the media industry." }, "location" : "Universal City, CA, United States", "locations" : [ "Universal City", "CA", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T09:03:19.650", "fingerprint" : "70d67c7be83c5e2402894d5f58db579a3138b92d80fb61a95f67589c6371b891", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Versant3/744000131968235-product-analytics-manager", "externalId" : "744000131968235", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Universal City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "34.1419225,-118.3584110" } ], "locationText" : "Universal City, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Statistical analysis", "Data modeling", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Develop and implement data science models, Build and maintain data pipelines, Design and deploy machine learning systems, Create and manage business intelligence dashboards, Perform quantitative analysis, Collaborate with engineering teams, Ensure data quality and integrity, Communicate findings to stakeholders", "teamCollaboration" : "Cross-functional teams; Stakeholders", "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "qualificationsBasic" : "5+ years experience, Bachelor's degree, SQL proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant’s sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. We're looking for a strategic and data-driven Product Analytics Manager to advance our streaming and ticketing platforms, driving audience growth and revenue. This role will lead analytics initiatives that enhance content discovery, improve conversion, and optimize the end-to-end streaming and ticketing experience. You'll partner closely with Product, Content, Marketing, and Engineering teams to translate data into insights that inform product decisions, improve customer experiences, and accelerate growth & monetization. Key Responsibilities * Define and track product KPIs across the user lifecycle, including feature adoption, conversion and engagement * Analyze cross-platform user behavior (web, mobile, CTV) to identify opportunities to improve discovery and conversion * Partner with Product to evaluate feature performance and prioritize enhancements * Identify friction points in user journeys and recommend solutions to improve conversion and revenue * Collaborate cross-functionally to support and execute conversion-focused initiatives * Design and analyze A/B tests to optimize product experiences and improve purchase completion * Develop dashboards and reporting to monitor product performance and funnel metrics * Leverage Adobe Analytics and large-scale behavioral datasets (via SQL) to generate actionable insights on user engagement, content performance, and conversion * Partner with Data Engineering and Data Implementation teams to improve tracking, data quality, and analytics reliability * Present insights and recommendations to inform product strategy ## Qualifications * 5+ years of experience in product analytics, preferably within media, entertainment, streaming or digital commerce * Strong hands-on experience with Adobe Analytics (required) * Advanced proficiency in SQL for large-scale data analysis (required) * Experience with cloud data platforms (e.g. Databricks, Snowflake, Redshift) * Experience analyzing user engagement, content performance, and conversion funnels within subscription or transactional business models * Proven experience with A/B testing and experimentation frameworks * Experience with data visualization tools (e.g., Tableau, Looker) * Strong storytelling skills with the ability to communicate insights to both technical and non-technical audiences Additional Information Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. Subject to change based on business need. 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. Salary range: $110,000 - $130,000 (bonus-eligible) ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media'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. For LA County and City Residents Only: VERSANT Media will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable. 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 [candidateaccessibility@versantmedia.com](mailto:candidateaccessibility@versantmedia.com). VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.", "summaryDescription" : "Product Analytics Manager at Versant. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and implement data science models. Build and maintain data pipelines", "postedDate" : "2026-06-12T18:44:44.000", "createdAt" : "2026-06-15T23:58:24.490", "lastUpdated" : "2026-06-16T09:03:19.650", "ingestTimestamp" : "2026-06-15T23:58:24.490", "mongoId" : "6a305d29f292fd229cf64d69", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Statistical analysis", "Data modeling", "Quantitative analysis", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2da98474d8ee00a0c79497", "title" : "Associate Analytics Strategy Lead", "company" : "IQVIA", "industry" : "Healthcare", "salary" : { "min" : 151200.0, "max" : 280700.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : false }, "location" : "Warsaw, Poland", "locations" : [ "Warsaw, Poland" ], "timestamp" : "2026-06-16T01:24:45.455", "fingerprint" : "ad75c98067a902cdde55bebb8b3b4d8d977f444cb58ae798253406749a5919ca", "source" : "workday", "language" : "en", "applyUrl" : "https://iqvia.wd1.myworkdayjobs.com/IQVIA/job/Warsaw-Poland/Associate-Analytics-Strategy-Lead_R1550987", "externalId" : "R1550987", "industryFunction" : { }, "locationPoint" : "52.22977,21.01178", "structuredLocations" : [ { "city" : "Warsaw", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Warsaw, Poland", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Clinical strategy", "Data insights", "Client engagement", "Strategic planning", "Proposal development" ], "hardSkillsList" : [ "Translate data", "Market intelligence" ], "softSkillsList" : [ "Confidence", "Critical thinking", "Analytical mindset" ], "hardSkills" : [ { "name" : "Translate data", "level" : "intermediate" }, { "name" : "Market intelligence", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Confidence" }, { "name" : "Critical thinking" }, { "name" : "Analytical mindset" } ], "majorSkills" : "Analytics strategy, Client engagement, Clinical studies", "majorSkillsList" : [ "Analytics strategy", "Client engagement", "Clinical studies" ], "coreResponsibilities" : "Contribute to winning new business, Shape country strategies, Shape site strategies, Shape enrollment strategies, Prepare strategic recommendations, Present strategic recommendations, Participate in bid defense meetings, Translate data into insights, Support decision-making, Collaborate with cross-functional teams, Build robust proposals, Lead internal planning discussions, Present analytical findings, Conduct research, Support junior team members, Mentor junior team members", "teamCollaboration" : "Internal stakeholders; Clients; Cross-functional teams; Medical teams; Therapeutic strategy teams; Business development teams; Operations teams", "domainKnowledge" : "Clinical research; Drug development process; Therapeutic areas", "domainList" : [ "clinical-research", "drug-development-process", "therapeutic-areas" ], "domainSpecificKnowledge" : [ "Clinical research", "Drug development process", "Therapeutic areas" ], "communicationSkills" : "Presenting to stakeholders; Simplify complex data; Clear messages", "qualificationsBasic" : "3+ years clinical research experience, Understanding of clinical trial landscape, Degree in life sciences or healthcare", "qualificationsPreferred" : "Experience within CRO or pharma, Experience within biotech", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join IQVIA and work at the intersection of clinical strategy, data insights and client engagement. This role sits within our planning and strategic services team and focuses on turning data into clear, compelling recommendations that help win and deliver clinical studies. This is not a back-end analytics role. You will act as a strategic partner to internal teams and clients, bringing confidence, strong communication and critical thinking into high-impact discussions, including bid defense meetings. **What you’ll do** * Contribute to winning new business by shaping country, site and enrollment strategies for clinical studies * Prepare and present strategic recommendations to internal stakeholders and clients, including participation in bid defense meetings * Translate data and analysis into clear, practical insights that support decision-making * Collaborate with cross-functional teams (medical, therapeutic strategy, business development, operations) to build robust proposals * Lead internal planning discussions and present analytical findings in a confident, structured way * Conduct research across therapeutic areas using scientific literature, internal systems and market intelligence * Support and mentor junior team members **What we’re looking for** * Experience in clinical research (around 3+ years), ideally within CRO, pharma or biotech * Strong understanding of the clinical trial landscape and drug development process * Confidence presenting to stakeholders, with the ability to influence and challenge constructively * Excellent communication skills, with the ability to simplify complex data into clear messages * Analytical mindset, but with a clear interest in strategy, consulting or client engagement * Ability to work independently, prioritize effectively and manage multiple deadlines * Degree in life sciences, healthcare or a related field **Why join IQVIA?** You’ll be part of a global team driving smarter, faster clinical development through data, strategy and collaboration. This role offers strong visibility, exposure to clients and opportunities to develop both your strategic and presentation skills in a fast-paced environment. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at [https://jobs.iqvia.com](https://jobs.iqvia.com/) IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism. The potential base pay range for this role, when annualized, is 151 200,00 zł - 280 700,00 zł. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.", "summaryDescription" : "Associate Analytics Strategy Lead at IQVIA. Skills: Analytics strategy, Client engagement, Clinical studies. Contribute to winning new business. Shape country strategies", "postedDate" : "2026-06-13T18:58:35.363", "createdAt" : "2026-06-14T18:58:35.348", "lastUpdated" : "2026-06-16T01:24:45.455", "ingestTimestamp" : "2026-06-14T18:58:35.348", "mongoId" : "6a2da98474d8ee00a0c79497", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://iqvia.wd1.myworkdayjobs.com/IQVIA/job/Warsaw-Poland/Associate-Analytics-Strategy-Lead_R1550987", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Translate data", "Market intelligence", "Confidence", "Critical thinking", "Analytical mindset", "Analytics strategy", "Client engagement", "Clinical studies", "Clinical strategy", "Data insights", "Strategic planning", "Proposal development", "Clinical research", "Drug development process", "Therapeutic areas" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307eb1f292fd229c051785", "title" : "Payment & Fraud Analytics Manager", "company" : "B2Spin", "industry" : "BI", "salary" : { "min" : 55000.0, "max" : 80000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Gaming industry in Malta, adjusted for seniority and company size." }, "location" : "Malta Office", "locations" : [ "Malta Office", "Poland", "Portugal", "Georgia", "Serbia" ], "timestamp" : "2026-06-16T13:01:16.693", "fingerprint" : "67deadec0de15bd0a5da8b3c8c1ce18a866830a252e64c1de5466aed7a85e9e1", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/b2spin/4281648a-c558-4e46-aed0-41696ba80a1f/application", "externalId" : "4281648a-c558-4e46-aed0-41696ba80a1f", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Malta", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Malta", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Tableau, PowerBI, Looker, Python", "professionalSkills" : [ "Data analysis", "Predictive insights", "Risk-scoring models" ], "hardSkillsList" : [ "Payment analytics", "Fraud analytics", "Detection logic", "Bonus abuse detection", "Multi-accounting detection", "Synthetic identity detection", "Chargeback mitigation" ], "softSkillsList" : [ "Analytical thinking" ], "hardSkills" : [ { "name" : "Payment analytics", "level" : "intermediate" }, { "name" : "Fraud analytics", "level" : "intermediate" }, { "name" : "Detection logic", "level" : "intermediate" }, { "name" : "Bonus abuse detection", "level" : "intermediate" }, { "name" : "Multi-accounting detection", "level" : "intermediate" }, { "name" : "Synthetic identity detection", "level" : "intermediate" }, { "name" : "Chargeback mitigation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical thinking" } ], "majorSkills" : "Payment analytics, Fraud analytics, Data visualization, Machine learning", "majorSkillsList" : [ "Payment analytics", "Fraud analytics", "Data visualization", "Machine learning" ], "coreResponsibilities" : "Define payment analytics vision, Execute payment analytics strategy, Analyze payment data, Create dashboards, Inform strategic decisions, Implement strategies to reduce payment declines, Recover failed transactions, Identify conversion bottlenecks, Lead chargeback mitigation efforts, Analyze chargeback trends, Implement automated triggers, Develop detection logic, Build risk-scoring models", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Social Casino gaming; Gaming ecosystem; Payment declines; Failed transactions; Conversion bottlenecks; Chargeback mitigation; Bonus abuse; Multi-accounting; Synthetic identities", "domainList" : [ "social-casino-gaming", "gaming-ecosystem", "payment-declines", "failed-transactions", "conversion-bottlenecks", "chargeback-mitigation", "bonus-abuse", "multi-accounting", "synthetic-identities" ], "domainSpecificKnowledge" : [ "Social Casino gaming", "Gaming ecosystem", "Payment declines", "Failed transactions", "Conversion bottlenecks", "Chargeback mitigation", "Bonus abuse", "Multi-accounting", "Synthetic identities" ], "toolProficiency" : [ "Tableau", "PowerBI", "Looker" ], "communicationSkills" : "Cross-functional partnership", "innovationCreativity" : "Innovate analysis approach", "problemSolvingSkills" : "Analytical thinking", "outcomesObjectives" : "Improve success rates; Improve conversions; Protect merchant accounts", "qualificationsBasic" : "SQL skills, 5+ years experience in payments and fraud analytics, Player-Coach mindset", "qualificationsPreferred" : "Python skills for advanced analytics, Experience in the gambling industry", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "PAYMENT & FRAUD ANALYTICS MANAGER We are B2Spin, and we are dedicated to delivering the best Free-to-Play Social Casino and gaming experiences by creating captivating, engaging, and unique products that are accessible to everyone. We have built a team of talented professionals from all over the globe, who are working to continually improve the experiences of our players. We are not looking to just be part of the industry, but to revolutionize it. The Role Lead our payment and fraud analytics strategy, driving data-driven decisions that optimize financial performance and protect our gaming ecosystem. What you will be doing • Define and execute the vision for payment analytics, moving beyond standard reporting to predictive insights that improve success rates and conversions • Analyze payment data using SQL and create compelling dashboards with Tableau, PowerBI, or Looker to inform strategic decisions • Implement strategies to reduce payment declines, recover failed transactions, and identify conversion bottlenecks • Lead chargeback mitigation efforts by analyzing trends and implementing automated triggers to protect merchant accounts • Develop detection logic to identify bonus abuse, multi-accounting patterns, and synthetic identities • Collaborate with cross-functional teams to build risk-scoring models that balance security with player experience What we are looking for • Strong SQL skills with experience in data visualization tools (Tableau, PowerBI, Looker) • Proven experience in the gambling industry, particularly in payments and fraud analytics • \"Player-Coach\" mindset with demonstrated ability to manage teams while staying hands-on with data analysis • Python skills are a strong advantage for advanced analytics and modeling • Strong analytical thinking with exceptional attention to detail • Excellent collaboration and communication skills for cross-functional partnership Why you will love it You'll thrive in our high-pace, high-growth environment where your curiosity directly shapes million-dollar decisions. Every insight you uncover translates into real business impact, while you build and lead a team that thinks strategically about the brands they own. You'll have the freedom to innovate your approach to analysis while working at the cutting edge of gaming analytics and machine learning. Equal Opportunities Statement We hire based on skills, drive, and ideas — nothing else. Your background, gender, age, race, ethnicity, disability, sexual orientation, religion, neurodiversity, or educational path will never be a barrier to joining us. We also welcome candidates from non-traditional career journeys and value diverse perspectives that challenge conventional thinking. Diversity fuels our innovation, collaboration, and growth, and we're committed to creating an environment where everyone can contribute their best work and thrive.", "summaryDescription" : "Payment & Fraud Analytics Manager at B2Spin. Skills: Payment analytics, Fraud analytics, Data visualization, Machine learning. Define payment analytics vision. Execute payment analytics strategy", "createdAt" : "2026-06-16T01:59:43.861", "lastUpdated" : "2026-06-16T13:01:16.693", "ingestTimestamp" : "2026-06-16T01:59:43.861", "mongoId" : "6a307eb1f292fd229c051785", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Payment analytics", "Fraud analytics", "Detection logic", "Bonus abuse detection", "Multi-accounting detection", "Synthetic identity detection", "Chargeback mitigation", "Analytical thinking", "Data visualization", "Machine learning", "Data analysis", "Predictive insights", "Risk-scoring models", "Social Casino gaming", "Gaming ecosystem", "Payment declines", "Failed transactions", "Conversion bottlenecks", "Bonus abuse", "Multi-accounting", "Synthetic identities", "Tableau", "PowerBI", "Looker" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Gaming", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca64474d8ee00a09ba750", "title" : "Head of Product Analytics", "company" : "Tide", "industry" : "FinTech", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for FinTech executive roles in Bulgaria, adjusted for seniority and remote work." }, "location" : "Sofia", "locations" : [ "Sofia" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T05:36:54.278", "fingerprint" : "c5fd11ef28f9c5820140a3b41c3734b6df89b4c25fe94c1c77ff6f51522adfab", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tide/jobs/7723082003", "externalId" : "7723082003", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Statistical analysis", "Data modeling", "Experiment design", "Causal inference" ], "hardSkillsList" : [ "Regression analysis", "Classification modeling", "Clustering algorithms", "Time-series forecasting", "A/B testing" ], "hardSkills" : [ { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification modeling", "level" : "intermediate" }, { "name" : "Clustering algorithms", "level" : "intermediate" }, { "name" : "Time-series forecasting", "level" : "intermediate" }, { "name" : "A/B testing", "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 models, Build and optimize data pipelines, Design and implement A/B tests, Develop machine learning models, Create dashboards and reports, Analyze complex datasets, Collaborate with stakeholders, Communicate findings to stakeholders", "teamCollaboration" : "Cross-functional teams; Product teams; Engineering teams; Business stakeholders", "domainKnowledge" : "Financial services; Payment systems; Risk management", "domainList" : [ "financial-services", "payment-systems", "risk-management" ], "domainSpecificKnowledge" : [ "Financial services", "Payment systems", "Risk management" ], "toolProficiency" : [ "Dbt", "Airflow", "Snowflake", "BigQuery", "Redshift", "Databricks", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "communicationSkills" : "Executive presentations; Technical documentation", "documentationSkills" : "Technical writing; Architecture diagrams", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "5+ years experience in analytics, SQL proficiency, Experience with data visualization tools", "qualificationsPreferred" : "PhD preferred, Experience with ML frameworks, Cloud platform certifications", "remoteFriendly" : true, "rawDescription" : "ABOUT TIDE At Tide, we help SMEs save time and money in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions, from invoicing to accounting. Tide is transforming the small business banking market and now supports over 2 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data driven decisions to serve our mission: to help SMEs save time and money so they can get back to doing what they love. Tide facts: Tide is available for UK, Indian, German and French SMEs Over 2 million members: 900,000 UK and 1,100,000 in India and growing rapidly Over $300 million raised in funding Over 2,800 Tideans globally Recognised with Great Place to Work certification three years in a row, and among India’s Top 50 Best Workplaces in Banking, Financial Services, and Insurance in 2026 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram, New Delhi, Berlin, Paris and Luxembourg ABOUT THE ROLE: As a Head of Product Analytics you’ll work closely with Tide’s product teams to use data to drive product adoption. You’ll work within the product analytics team to use data to inform our collective understanding of users, their problems and thus inform product strategy. This role will suit an individual that can operate with a high degree of independence and has hands-on experience of proactively working with the product community. You are an expert and constructive critique of digital products with strong views on data-driven techniques to improve adoption and engagement of various products & features. You will be working as a part of the product squad with a functional reporting into the Head of Product. Some of the things you’ll be doing: Product Discovery - hypothesis driven deep dives (existing product usage data) to identify user problems, quantify size of the problem and highlight solution(s). Solution confidence - product experiments are a means to an end. They help us produce data to build confidence on the product & features we plan to invest in. You would be the product experimentation expert and would observe data, propose, design and analyse product experiments. Product and feature performance review - new features solve user user problems and drive product usage and thus adoption. You would work with product teams to identify & analyse various impact hypotheses behind new products and features and define measurable KPIs. User research - solving user problems helps us achieve commercial goals. You would identify opportunities, perform data deep dives (exploratory and hypothesis driven) to improve our collective understanding of user problems and assist working groups to focus on and prioritise high impact user problems. Goals to KPI translations - you would work with product managers to break overall revenue goals into business KPIs, identify impact hypotheses and convert into measurable product KPIs. You would work with analytics engineers to enable KPI reporting through visually speaking dashboards. Engagement to LTV correlations - engagement driven products and features have an indirect, unestablished impact on member longevity (commercially speaking LTV). We use data to establish this correlation and quantify the indirect impact. You would be required to perform custom analysis, using statistical methods to validate these correlations and assist product teams to prioritise investment on scaling product and features that have an indirect impact on engagement, longevity and thus LTV. Experimentation & product growth - you will operate with a high degree of user behaviour awareness (backed by consistent event data observation) and assist product managers by designing experiments to drive product adoption. You would use custom data analysis and statistical methods to analyse experiment results. Self Serve Product Analytics - partner with data, engineering, data product and data science teams to deliver a world-class self-serve event data analytics platform for app and web products. Our experimentation stack includes platforms like LaunchDarkly for shipping variants, Segment for events, Heap for visualisation. You would be required to partner with data-science teams to build a stats-engine for relevant KPIs for each product enabling a seamless self-serve analytics for business and product teams. You’ll be a great fit if: 10+ years of experience working on Product Analytics for a digital product. Strong hold on product strategy, experimentation, roadmapping, & prioritisation You are a consumer tech geek, preferably fintech (not mandatory). You are a natural storyteller with exceptional presentation skills. You believe and invest time in project management and have exceptional people skills. You understand and believe user experience is a product. You are humble enough to know that you need to learn, and confident enough to showcase your skills, speak your mind and even challenge the status quo. You have an intrinsic need to be excellent but have learnt to be action oriented. You have failed and can talk about it at length. You have worked as an analyst and a product manager. You have excellent SQL proficiency and are willing to crunch complex numbers. You are a self starter and can operate with a high degree of independence. You have the ability to deal with ambiguity and competing objectives in a fast paced environment. You have lead a team of analysts in Product Companies WHAT YOU’LL GET IN RETURN: Remote-first work setup with flexibility to work from anywhere in Bulgaria. Performance-based incentives. 25 days of paid annual leave 3 additional days for volunteering and learning Private Health Insurance Mental Health Support Platform Company Sponsored Multisport Card Family and Friendly Leave (according to statutory) Personal L&D budget TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard. Disclaimer It has come to our attention that individuals or agencies are falsely claiming to represent Tide and are reaching out to candidates regarding job opportunities. Please be aware that: Tide does not charge any fees at any stage of the recruitment process. All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel. Communication from Tide will only come from an official @tide.co email address. Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf. If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process. Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy. Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.", "summaryDescription" : "Head of Product Analytics at Tide. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and maintain data models. Build and optimize data pipelines", "postedDate" : "2026-06-14T17:37:18.803", "createdAt" : "2026-06-14T17:37:18.803", "lastUpdated" : "2026-06-16T05:36:54.278", "ingestTimestamp" : "2026-06-14T17:37:18.803", "mongoId" : "6a2ca64474d8ee00a09ba750", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Regression analysis", "Classification modeling", "Clustering algorithms", "Time-series forecasting", "A/B testing", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Statistical analysis", "Data modeling", "Experiment design", "Causal inference", "Financial services", "Payment systems", "Risk management", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt", "Airflow", "Snowflake", "BigQuery", "Redshift", "Databricks", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305930f292fd229cf45a2b", "title" : "Senior Manager, BizOps & Analytics", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 170000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Los Angeles, California", "locations" : [ "Los Angeles, California", "Chicago, Illinois", "Raleigh, North Carolina", "Nashville, Tennessee", "Phoenix, Arizona", "Salt Lake City, Utah", "Dallas, Texas" ], "timestamp" : "2026-06-16T11:06:24.166", "fingerprint" : "3e583796a4114120c70de5ecb005ee37a57b8bb329271ad79356efbda59ea4eb", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/f5b49cbf-fee1-4f56-b35d-2d76897383f0/application", "externalId" : "f5b49cbf-fee1-4f56-b35d-2d76897383f0", "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", "experienceLevel" : "Manager", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Problem solving" ], "hardSkillsList" : [ "Data analysis", "Data interpretation", "Data structuring" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" } ], "majorSkills" : "BizOps, Analytics, Data insights", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights" ], "coreResponsibilities" : "Define business questions, Push back on flawed questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Explain what is happening, Explain why it is happening, Recommend next steps", "teamCollaboration" : "Embedded in business units; Counterparts in product; Counterparts in growth; Counterparts in finance; Counterparts in operations", "domainKnowledge" : "Car insurance; Driving insights; Car maintenance; Car repairs; Home insurance; Motorcycle insurance; RV insurance", "domainList" : [ "car-insurance", "driving-insights", "car-maintenance", "car-repairs", "home-insurance", "motorcycle-insurance", "rv-insurance" ], "domainSpecificKnowledge" : [ "Car insurance", "Driving insights", "Car maintenance", "Car repairs", "Home insurance", "Motorcycle insurance", "RV insurance" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Write clearly; Speak precisely; Get buy-in quickly", "problemSolvingSkills" : "Break ambiguous problems; Formulate hypotheses", "outcomesObjectives" : "Grow from 5M to 50M customers; Become $10B business in 4 years", "qualificationsBasic" : "6+ years consulting experience, 6+ years investment bank experience, 6+ years high-growth tech experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record owning ambiguous problems, Track record delivering impact, Clear communicator, Persuasive communicator, Influence decisions at leadership level", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 6+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 6+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Manager, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Data insights, Decision making. Define business questions. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 6+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Manager, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Problem solving. Define business questions. Push back on flawed questions", "createdAt" : "2026-06-16T00:28:11.300", "lastUpdated" : "2026-06-16T10:22:50.609", "ingestTimestamp" : "2026-06-16T00:28:11.300", "mongoId" : "6a305098f292fd229cef28eb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data interpretation", "Data structuring", "Data pulling", "Direct communicator", "BizOps", "Analytics", "Problem solving", "First principles thinking", "Data analysis", "Decision making", "Analytical insights", "Car insurance", "Driving insights", "Car maintenance", "Car repairs", "Home ownership", "Motorcycle ownership", "RV ownership", "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305098f292fd229cef28ed", "title" : "Senior Manager, BizOps & Analytics", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 170000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Los Angeles, California", "locations" : [ "Los Angeles, California", "Chicago, Illinois", "Raleigh, North Carolina", "Nashville, Tennessee", "Phoenix, Arizona", "Salt Lake City, Utah", "Dallas, Texas" ], "timestamp" : "2026-06-16T08:03:57.276", "fingerprint" : "a1cd15acce936a285a1c0c7b67c3eaedb08046b35a48188d2a2bfb115c5ac737", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/f5b49cbf-fee1-4f56-b35d-2d76897383f0/application", "externalId" : "f5b49cbf-fee1-4f56-b35d-2d76897383f0", "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", "experienceLevel" : "Manager", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Problem solving" ], "hardSkillsList" : [ "Data analysis", "Data interpretation", "Data structuring" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" } ], "majorSkills" : "BizOps, Analytics, Data insights", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights" ], "coreResponsibilities" : "Define business questions, Push back on flawed questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Explain what is happening, Explain why it is happening, Recommend next steps", "teamCollaboration" : "Embedded in business units; Counterparts in product; Counterparts in growth; Counterparts in finance; Counterparts in operations", "domainKnowledge" : "Car insurance; Driving insights; Car maintenance; Car repairs; Home insurance; Motorcycle insurance; RV insurance", "domainList" : [ "car-insurance", "driving-insights", "car-maintenance", "car-repairs", "home-insurance", "motorcycle-insurance", "rv-insurance" ], "domainSpecificKnowledge" : [ "Car insurance", "Driving insights", "Car maintenance", "Car repairs", "Home insurance", "Motorcycle insurance", "RV insurance" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Clear writing; Precise speaking; Persuasive communication", "problemSolvingSkills" : "First principles problem solving; Analytical problem solving", "outcomesObjectives" : "Grow from 5M to 50M customers; Become a $10B business", "qualificationsBasic" : "6+ years consulting experience, 6+ years investment bank experience, 6+ years high-growth tech experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record owning ambiguous problems, Track record delivering impact, Clear communicator, Persuasive communicator, Influence decisions at leadership level", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 6+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Manager, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Data insights. Define business questions. Push back on flawed questions", "createdAt" : "2026-06-16T00:26:30.239", "lastUpdated" : "2026-06-16T08:03:57.276", "ingestTimestamp" : "2026-06-16T00:26:30.239", "mongoId" : "6a305098f292fd229cef28ed", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data interpretation", "Data structuring", "BizOps", "Analytics", "Data insights", "First principles thinking", "Problem solving", "Car insurance", "Driving insights", "Car maintenance", "Car repairs", "Home insurance", "Motorcycle insurance", "RV insurance", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6c8774d8ee00a0919a04", "title" : "Group Product Manager, Data & Analytics", "company" : "1upHealth", "industry" : "Healthcare", "salary" : { "min" : 185000.0, "max" : 265000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Group Product Manager, Data & Analytics in Boston, United States, adjusted for manager seniority and the healthcare industry." }, "location" : "Boston, Massachusetts, United States", "locations" : [ "Boston", "Massachusetts", "United States" ], "timestamp" : "2026-06-15T08:52:25.680", "fingerprint" : "b17acec40abd424c1c79c668f00e1e59f990f65f6b7fb94d691934a18ee795d4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/1uphealth/jobs/4689118006", "externalId" : "4689118006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "AI, ML", "professionalSkills" : [ "Product strategy", "Roadmap development", "Product lifecycle management", "Market analysis", "Data visualization", "API development", "Analytics features", "Platform components", "Product teams", "Customer success", "Implementation teams", "Data transformation", "Performance tracking" ], "hardSkillsList" : [ "Data analysis", "Healthcare data standards", "Interoperability frameworks" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Healthcare data standards", "level" : "intermediate" }, { "name" : "Interoperability frameworks", "level" : "intermediate" } ], "majorSkills" : "Data strategy, Analytics capabilities, Product delivery", "majorSkillsList" : [ "Data strategy", "Analytics capabilities", "Product delivery" ], "coreResponsibilities" : "Develop strategic roadmap, Maintain strategic roadmap, Translate priorities, Manage product lifecycle, Define KPIs, Track KPIs, Conduct market analysis, Partner with engineering, Deliver data pipelines, Deliver APIs, Deliver analytics features, Foster collaboration, Build platform components, Collaborate with design, Ensure data visualization, Ensure reporting experiences, Work with commercial teams, Work with customer success, Work with implementation teams, Gather input, Validate solutions, Support adoption, Engage with customers, Understand analytics needs, Understand integration requirements, Understand data challenges, Lead initiatives, Transform healthcare data, Ensure solutions meet standards, Partner with stakeholders, Embed analytics, Evaluate emerging technologies, Integrate AI, Integrate ML", "teamCollaboration" : "Cross-functional teams; Platform teams; Design teams; Commercial teams; Customer success teams; Implementation teams; Internal stakeholders", "projectManagementSkills" : [ "Agile methodologies", "Backlog management", "Product lifecycle management", "Roadmap development" ], "domainKnowledge" : "Healthcare data; FHIR; Claims data; Clinical data; HIPAA; SOC 2; HITRUST; Interoperability; AI; ML", "domainList" : [ "healthcare-data", "fhir", "claims-data", "clinical-data", "hipaa", "soc-2", "hitrust", "interoperability", "ai", "ml" ], "domainSpecificKnowledge" : [ "Healthcare data", "FHIR", "Claims data", "Clinical data", "HIPAA", "SOC 2", "HITRUST", "Interoperability", "AI", "ML" ], "toolProficiency" : [ "Tableau", "Looker", "Power BI" ], "problemSolvingSkills" : "Analytical mindset; Data-driven decision making", "outcomesObjectives" : "Deliver measurable impact; Improve care quality; Reduce costs; Drive better outcomes", "qualificationsBasic" : "8+ years product management, 5+ years data analytics, Deliver data analytics products, Healthcare data standards, Experience with payers, Agile methodologies, Backlog management, Boston-based or ET hours", "qualificationsPreferred" : "Familiarity with data visualization tools, Experience applying AI/ML, B2B SaaS platforms, Healthcare interoperability solutions", "rawDescription" : "At 1up, our purpose is simple but ambitious: better healthcare for all, through better data. We’re on a mission to deliver a cloud-based data platform that makes it easy for payers, providers, and digital health companies to ingest, normalize, and share healthcare data securely and at scale. Our vision is to power a more efficient and effective healthcare ecosystem, where data flows freely to support better decision-making, care coordination, and member outcomes. Fulfilling this mission means building a scalable, cloud-native data platform that is purpose-built for healthcare. Our platform enables organizations to ingest, standardize, and access vast amounts of clinical and claims data in real time. It supports critical workflows across the healthcare ecosystem, including interoperability, analytics, care coordination, and member engagement. These demands require solving complex engineering problems, including the design and operation of distributed systems that manage massive data volumes while maintaining data integrity, availability, performance, and compliance. As our Group Product Manager - Data & Analytics, you will turn this vision into strategic, executable product plans that deliver measurable impact. You will own the strategy, roadmap, and delivery of our data and analytics capabilities, ensuring that we not only move fast but also deliver solutions that are scalable, compliant, and truly useful to our customers. Your work will help healthcare organizations unlock the full value of their data to improve care quality, reduce costs, and drive better outcomes. At 1up, we are visionary in how we think about the future of healthcare, bold in the problems we take on, resolute in our execution, and always human in our leadership and collaboration. If you share these values and are ready to drive product excellence at the intersection of healthcare and technology, we invite you to join us. Key Responsibilities Product Strategy & Execution Develop and maintain a strategic roadmap for data, analytics, and reporting capabilities across the 1upHealth platform. Translate company and customer priorities into actionable product requirements and delivery plans. Manage the product lifecycle from planning and design through development, launch, and ongoing optimization. Define and track KPIs to measure product success and impact, using results to inform ongoing prioritization and improvements. Conduct competitive and market analysis to identify opportunities for differentiation and value creation. Cross-Functional Collaboration Partner closely with engineering to deliver scalable and high-performing data pipelines, APIs, and analytics features. Foster collaboration between platform and product teams to build platform components that will serve the product teams’ needs and allow for efficient and speedy development of new products. Collaborate with design teams to ensure data visualization and reporting experiences are intuitive and impactful. Work with commercial, customer success, and implementation teams to gather input, validate solutions, and support adoption. Engage directly with customers to understand analytics needs, integration requirements, and data challenges. Data & Analytics Domain Execution Lead initiatives to transform raw healthcare data (FHIR, claims, clinical, etc.) into actionable insights. Ensure all solutions meet the highest standards for compliance, security, and interoperability (FHIR, HIPAA, SOC 2, HITRUST). Partner with internal stakeholders to embed analytics into both customer-facing products and internal performance tracking. Evaluate emerging technologies, including AI and ML, for practical and impactful integration into analytics capabilities. What We’re Looking For Must-Have Qualifications 8+ years of product management experience with at least 5 years focused on data, analytics, or BI platforms, ideally in healthcare technology. Proven ability to deliver data and analytics products in a SaaS environment. Strong understanding of healthcare data standards (FHIR, HL7, claims, clinical) and interoperability frameworks. Experience working with payers, providers, or healthcare technology vendors. Expertise in agile methodologies, backlog management, and leading cross-functional product execution. Boston-based or able to work in Eastern Time Zone hours. Strong analytical mindset with experience defining and tracking KPIs to guide decision-making. Nice-to-Have Qualifications Familiarity with data visualization tools such as Tableau, Looker, or Power BI, as well as embedded analytics solutions. Experience applying AI or ML to analytics or predictive modeling in healthcare Background in both B2B SaaS platforms and healthcare interoperability solutions. Don't meet every requirement? Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At 1upHealth we are dedicated to building a diverse, inclusive and authentic workplace. We encourage folks to apply if they meet at least 50% of the qualifications above. About 1upHealth At 1upHealth, our mission is to unlock health data and improve industry outcomes. As leaders in FHIR® interoperability, our platform makes it easier for partners to access, integrate, aggregate, and share data across a variety of systems. 1upHealth is building a data ecosystem to promote the digital transformation of the industry and encourage insight-driven healthcare. Benefits 100% Paid BCBS Medical and Dental Insurance for Employees Vision Insurance Flexible PTO Equity for All Employees 401(k) Home Office Stipend Lifestyle Savings Account Parental Leave (6 weeks bonding leave for all new parents + 10 weeks for birthing parents) Security Alert: 1upHealth only uses email domains of First Name. Last Name@1up.health or no-reply@1up.health to communicate with prospects. You will never receive an email from a third-party email service such as gmail. In addition, we will never ask a candidate for employment to share personal information (such as banking information, social security numbers, passport, etc), purchase their own equipment, or pay to apply to an open position.", "summaryDescription" : "Group Product Manager, Data & Analytics at 1upHealth. Skills: Data strategy, Analytics capabilities, Product delivery. Develop strategic roadmap. Maintain strategic roadmap", "postedDate" : "2026-06-14T02:01:03.237", "createdAt" : "2026-06-14T02:01:03.237", "lastUpdated" : "2026-06-15T08:52:25.680", "ingestTimestamp" : "2026-06-14T02:01:03.237", "mongoId" : "6a2c6c8774d8ee00a0919a04", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 185000, "salaryAnnualMax" : 265000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Healthcare data standards", "Interoperability frameworks", "Data strategy", "Analytics capabilities", "Product delivery", "Product strategy", "Roadmap development", "Product lifecycle management", "Market analysis", "Data visualization", "API development", "Analytics features", "Platform components", "Product teams", "Customer success", "Implementation teams", "Data transformation", "Performance tracking", "Agile methodologies", "Backlog management", "Healthcare data", "FHIR", "Claims data", "Clinical data", "HIPAA", "SOC 2", "HITRUST", "Interoperability", "AI", "ML", "Tableau", "Looker", "Power BI" ], "skillCount" : 34, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8d6b74d8ee00a0978e4e", "title" : "Manager, BizOps & Analytics", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 150000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco Bay Area", "locations" : [ "San Francisco Bay Area", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "New York, New York", "Miami, Florida" ], "timestamp" : "2026-06-16T04:06:33.789", "fingerprint" : "39b1c35d9046e5a25cc2e5479988e5f181b954974a8ea28e0ab525e4f7de17b8", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/4df2afe9-31ab-46ab-b0cf-137dfabcce1a/application", "externalId" : "4df2afe9-31ab-46ab-b0cf-137dfabcce1a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Problem solving", "Data analysis", "Decision making", "Analytical insights" ], "hardSkillsList" : [ "Data interpretation", "Data structuring", "Data pulling" ], "softSkillsList" : [ "Direct communicator" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data pulling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communicator" } ], "majorSkills" : "BizOps, Analytics, Problem solving", "majorSkillsList" : [ "BizOps", "Analytics", "Problem solving" ], "coreResponsibilities" : "Define business questions, Inform business decisions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Explain business happenings, Explain business reasons, Propose next steps", "teamCollaboration" : "Embedded in business unit; Work with product; Work with growth; Work with finance; Work with operations", "domainKnowledge" : "Car ownership; Home ownership; Insurance; Driving insights; Diagnostics; Repair marketplace", "domainList" : [ "car-ownership", "home-ownership", "insurance", "driving-insights", "diagnostics", "repair-marketplace" ], "domainSpecificKnowledge" : [ "Car ownership", "Home ownership", "Insurance", "Driving insights", "Diagnostics", "Repair marketplace" ], "toolProficiency" : [ "SQL", "Clickhouse", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Write clearly; Speak precisely", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems; Formulate hypotheses", "outcomesObjectives" : "Move key metrics; Grow to 50M customers; Become $10B business", "qualificationsBasic" : "4+ years consulting experience, 4+ years investment bank experience, 4+ years high-growth tech experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Own ambiguous analytical problems, Drive analytical problems to outcome, Clear communicator, Persuasive communicator, Influence leadership decisions", "remoteFriendly" : true, "rawDescription" : "WHY WE EXIST Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, a repair marketplace, and home. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. WHY WE’RE HIRING Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former MBB consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then driving our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are adding a few new members to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. WHY YOU WILL (OR WON'T) LIKE WORKING HERE - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done here is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. You will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. WHAT YOU'LL OWN You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core product or business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. WHO YOU ARE - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. WHAT YOU'LL BRING - 4+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous analytical problems and driving them to a business outcome. - Clear, persuasive communicator who can influence decisions at the leadership level. OUR TOOLS SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Manager, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Problem solving. Define business questions. Inform business decisions", "createdAt" : "2026-06-14T19:12:16.815", "lastUpdated" : "2026-06-16T04:06:33.789", "ingestTimestamp" : "2026-06-14T19:12:16.815", "mongoId" : "6a2c8d6b74d8ee00a0978e4e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 170000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data interpretation", "Data structuring", "Data pulling", "Direct communicator", "BizOps", "Analytics", "Problem solving", "First principles thinking", "Data analysis", "Decision making", "Analytical insights", "Car ownership", "Home ownership", "Insurance", "Driving insights", "Diagnostics", "Repair marketplace", "SQL", "Clickhouse", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 23, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca53574d8ee00a09b5361", "title" : "Senior / Product Manager, Data Analytics (SC)", "company" : "GovTech", "industry" : "Government", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Manager in Singapore, adjusted for the government industry and GovTech's size." }, "location" : "SC Singapore Customs", "locations" : [ "SC Singapore Customs" ], "timestamp" : "2026-06-16T05:08:43.229", "fingerprint" : "5a0beac348aff143992e7089dc3c99cafcb4ccef61799bebea78af25f25efb7f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.careers.gov.sg/jobs/greenhouse/4001679201?gh_jid=4001679201", "externalId" : "4001679201", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "majorSkills" : "Product strategy, Roadmap, User stories", "majorSkillsList" : [ "Product strategy", "Roadmap", "User stories" ], "coreResponsibilities" : "Focus on product strategy, Develop product roadmap, Define user stories, Collaborate cross-functionally", "teamCollaboration" : "Cross-functional collaboration", "projectManagementSkills" : [ "Product management" ], "rawDescription" : "GovTech is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity. At GovTech, we offer you a purposeful career to make lives better where we empower our people to master their craft through robust learning and development opportunities all year round. Learn more about GovTech at tech.gov.sg. A product manager to manage an analytics and AI system for Singapore Customs. Job Summary As a Product Manager at GovTech, you will play a pivotal role in transforming government services through data-driven insights. You will bridge the gap between business needs and technical solutions, leveraging data analytics to identify opportunities for improvement, optimize processes, and enhance decision-making across various government initiatives. Job Responsibilities Collaborate with various government agencies and stakeholders to understand their business processes, challenges, and data requirements. Translate complex business problems into clear, actionable data analytics requirements and user stories. Perform in-depth data analysis using various analytical tools and techniques to identify trends, patterns, and insights from large datasets. Develop and implement data visualization dashboards and reports to communicate key findings and recommendations to both technical and non-technical audiences. Evaluate the effectiveness of digital services and initiatives using data-driven metrics and provide recommendations for optimization. Work closely with data engineers, data scientists, and developers to ensure the successful implementation of data solutions. Conduct stakeholder interviews, workshops, and user acceptance testing (UAT) to validate solutions and ensure they meet business needs. Stay abreast of industry best practices in data analytics, business intelligence, and digital government. Contribute to the continuous improvement of GovTech's data analytics capabilities and frameworks. Job Qualifications Bachelor's degree in Information Systems, Computer Science, Business Analytics, Statistics, Economics, or a related quantitative field. Minimum of 3 years of experience as a Product Manager, with a strong focus on data analytics projects. Proficiency in data manipulation and analysis tools (e.g., SQL, Python, R). Experience with data visualization tools (e.g., Tableau, Power BI, QlikView). Strong understanding of data warehousing concepts, ETL processes, and data modeling. Excellent analytical, problem-solving, and critical thinking skills. Ability to effectively communicate complex technical concepts to non-technical stakeholders. Proven ability to work independently and collaboratively in a fast-paced environment. Experience in the public sector or with government digital services projects is a plus. Familiarity with agile methodologies is advantageous. As a product manager, you will also have to plan and manage product budget, schedule, backlogs, vendors and stakeholders. The job scope include Overall incharge of the product development writing paper for funding drafting contracts document, calling tender when required and conducting tender evaluation with a group of appointed working group overall incharge of managing security implementation and ensuring governance in compliance with the government and the agency's security policies and guidelines. overall incharge of any audits conducted on the product that include the ICT implementation and security controls, funding and procurement aspect. organising meetings manage contracts and cntractors scan market for latest technology to scale the product liaise with product vendors/ principals including inviting suitable product vendors to demonstrate and present their product to product owners and stakeholders, plan adoption of the product after obtaining endorsement from stakeholders work with a team of data engineers, software engineer and sdata analysts to ensure product implementation and scaling manage budget and schedule to meet the target We are an equal opportunity employer and value diversity at our company as we believe that diversity is meaningful to innovation. Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. This includes generous leave benefits to meet your work-life needs. We trust that you will get the job done wherever you are, and whatever works best for you – so work from home or take a break to exercise if you need to*. We also believe it’s important for you to keep honing your craft in the constantly-evolving tech landscape, so we provide and support a plethora of in-house and external learning and development opportunities all year round. Subject to the nature of your job role that might require you to be onsite during fixed hours.", "summaryDescription" : "Senior / Product Manager, Data Analytics (SC) at GovTech. Skills: Product strategy, Roadmap, User stories. Focus on product strategy. Develop product roadmap", "postedDate" : "2026-06-14T18:37:01.807", "createdAt" : "2026-06-14T18:37:01.807", "lastUpdated" : "2026-06-16T05:08:43.229", "ingestTimestamp" : "2026-06-14T18:37:01.807", "mongoId" : "6a2ca53574d8ee00a09b5361", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Product strategy", "Roadmap", "User stories", "Product management" ], "skillCount" : 4, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca3ba74d8ee00a09ad615", "title" : "Data Analytics Manager", "company" : "Hasbro", "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T10:13:43.590", "fingerprint" : "259771a41afffa415d14f4530898ec10a1175559576952377e5c4e411be76c58", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hasbro/jobs/4249885009", "externalId" : "4249885009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 7, "experienceLevel" : "Manager", "technicalSkills" : "R, Python, SQL", "professionalSkills" : [ "Knowledge of and familiarity with games such as Magic: The Gathering." ], "hardSkillsList" : [ "R", "Python", "SQL" ], "softSkillsList" : [ "Self-directed, attention to detail" ], "hardSkills" : [ { "name" : "R", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Self-directed, attention to detail" } ], "majorSkills" : "Data Analysis, Team Leadership, SQL, R, Python", "majorSkillsList" : [ "Data Analysis, Team Leadership, SQL, R, Python" ], "coreResponsibilities" : "Analyze profitability opportunities related to pricing, inventory, play, and revenue recognition. Build models to explore different business strategies and identify areas of growth. Communicate findings to partners using clear visuals and concise communication. Handle ad-hoc queries from leadership and partner with them to strategize about the business. Lead a team of 3-5 other data analysts.", "teamCollaboration" : "Collaborate with product strategy, sales, finance, business strategy, and economics. Partner with economists and financial analysts. Incorporate stakeholder feedback into analytics. Work with technical teams to evaluate and communicate data needs. Lead a team of 3-5 other data analysts.", "projectManagementSkills" : [ "drive projects to completion", "prioritize stakeholder requests" ], "communicationSkills" : "clear visuals; concise communication; communicate data needs", "documentationSkills" : "document processes", "continuousLearning" : "Identify opportunities for new projects, using existing tools in new ways, using existing data differently, and generally to demonstrating the value of data.", "problemSolvingSkills" : "pricing; inventory; revenue recognition; business strategies; areas of growth", "outcomesObjectives" : "Support the strategy of our worldwide teams making and build your career.", "qualificationsBasic" : "Bachelor's degree in finance, business, data science, economics, or another quantitative field. 7+ years of relevant work experience, including at least 2 years of experience leading a team. Experience using R, python, or similar tools to conduct data analysis. Working knowledge of SQL. Self-directed, ability to drive projects to completion and proactively communicate timelines and document processes. Impeccable attention to detail.", "qualificationsPreferred" : "Graduate degree is a plus.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Wizards of the Coast, we connect people around the world through play and imagination. From our genre-defining games like Magic: The Gathering® and Dungeons & Dragons® to our growing multiverse, we continue to innovate and build new ways to foster friendship and connection. That's where you come in! This role will partner closely with product strategy, sales, finance, business strategy, and economics to support Magic: The Gathering's growth! Through your reporting and insights, you will support the strategy of our worldwide teams making and build your career. What You'll Do: Analyze - Work with business partners to deep dive into profitability opportunities related to pricing, inventory, play, and revenue recognition. Iterate quickly to refine work and meet deadlines. Model - Build models to explore different business strategies and identify areas of growth. Partner with economists and financial analysts to reconcile revenue numbers. Communicate - Explain findings to partners using clear visuals and concise communication. Incorporate stakeholder feedback into analytics so your team's work is usable, useful, and used. Collaborate - Handle ad-hoc queries from leadership and partner with them to strategize about the business. Prioritize stakeholder requests to put limited resources towards high impact tasks. Work with technical teams to evaluate and communicate data needs and ensure the right data is available. Cultivate - Lead a team of 3-5 other data analysts, identifying opportunities for your team to shine and grow. Identify opportunities for new projects, using existing tools in new ways, using existing data differently, and generally to demonstrating the value of data. What You'll Bring: Bachelor's degree in finance, business, data science, economics, or another quantitative field. Graduate degree is a plus. 7+ years of relevant work experience, including at least 2 years of experience leading a team. Experience using R, python, or similar tools to conduct data analysis. Working knowledge of SQL. Self-directed, ability to drive projects to completion and proactively communicate timelines and document processes. Impeccable attention to detail. Knowledge of and familiarity with games such as Magic: The Gathering. We are an Equal Opportunity Employer Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you have a disability and require assistance in this application process and need to request an accommodation, please contact your recruiter or coordinator. #WIZARDS The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $125,900—$188,900 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.", "summaryDescription" : "Data Analytics Manager at Hasbro. Skills: Data Analysis, Team Leadership, SQL, R, Python. Analyze profitability opportunities related to pricing, inventory, play, and revenue recognition. Build models to explore different business strategies and identify areas of growth. Communicate findings to partners using clear visuals and concise communication. Handle ad-hoc queries from leadership and partner with them to strategize about the business. Lead a team of 3-5 other data analysts.", "postedDate" : "2026-06-14T18:44:24.507", "createdAt" : "2026-06-14T18:44:24.507", "lastUpdated" : "2026-06-15T10:13:43.590", "ingestTimestamp" : "2026-06-14T18:44:24.507", "mongoId" : "6a2ca3ba74d8ee00a09ad615", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "R", "Python", "SQL", "Self-directed, attention to detail", "Data Analysis, Team Leadership, SQL, R, Python", "Knowledge of and familiarity with games such as Magic: The Gathering.", "drive projects to completion", "prioritize stakeholder requests" ], "skillCount" : 8, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "69fda4e34c40e2acd1b997b2", "title" : "Manager, Customer Service Analytics", "company" : "Audible GmbH", "industry" : "Business Intelligence, Business Intel Engineer, subsidiaries", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, Customer Service Analytics in Berlin, Germany, adjusted for industry and seniority." }, "location" : "Berlin, Berlin, DEU", "locations" : [ "Berlin, Berlin, DEU" ], "timestamp" : "2026-06-15T04:08:52.820", "fingerprint" : "9a3202e1bf967c0edf9f17a958f6d51c4cd714d25cb4abe30cd849c10181ff99", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10413473/apply", "externalId" : "bced5c40-bb78-4262-b8ed-bcaf55d70ba0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "state" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5033790,13.3386522" } ], "locationText" : "Berlin, Berlin, Germany", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Excel, Tableau, Redshift, Oracle, NoSQL", "professionalSkills" : [ "Business acumen", "Data storytelling", "Analytical frameworks" ], "hardSkillsList" : [ "Data visualization", "KPI tracking", "Root cause analysis", "Metric definition", "Data governance" ], "softSkillsList" : [ "Curious", "Independent" ], "hardSkills" : [ { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "KPI tracking", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Metric definition", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Independent" } ], "majorSkills" : "Business Intelligence, Data Analytics, Reporting", "majorSkillsList" : [ "Business Intelligence", "Data Analytics", "Reporting" ], "coreResponsibilities" : "Design BI solutions, Implement BI solutions, Optimize BI solutions, Track KPIs, Provide insights, Break down business metrics, Develop leading indicators, Anticipate leadership questions, Develop analyses, Develop visualizations, Automate identification of dimensions, Enable root cause analysis, Develop data visualizations, Communicate complex trends, Develop documentation, Communicate findings, Balance stakeholder requirements, Maintain focus on long-term solutions, Serve as data governance advocate, Ensure consistency in definitions, Ensure data quality, Partner with data scientists, Partner with engineers, Partner with product managers, Partner with business leaders, Align reporting with objectives", "teamCollaboration" : "Cross-functional teams; Executive audiences; Technical stakeholders; Non-technical stakeholders; Data scientists; Engineers; Product managers; Business leaders", "domainKnowledge" : "Customer Service Analytics", "domainList" : [ "customer-service-analytics" ], "domainSpecificKnowledge" : [ "Customer Service Analytics" ], "toolProficiency" : [ "Tableau" ], "communicationSkills" : "Actionable narratives; Executive reporting; Clear documentation; Concise insights", "documentationSkills" : "Clear documentation", "problemSolvingSkills" : "Problem solving; Root cause analysis", "qualificationsBasic" : "3+ years experience analyzing data, Knowledge of advanced skills in Excel, Experience working with multiple groups of stakeholders", "qualificationsPreferred" : "Familiarity with Tableau preferred, Experience handling ambiguous or undefined challenges, Experience working effectively across cross-functional teams, Experience with process improvement initiatives, Experience supporting executive reporting and business reviews, Experience working in media, entertainment, or subscription-based businesses, Understanding of data governance principles and practices", "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. ABOUT THIS ROLE As a Business Intelligence Engineer within the Customer Service Analytics team at Audible, you'll serve as a data-driven decision enabler for our Customer Service Leadership Team. You will be responsible for designing, implementing, and optimizing the reporting processes that deliver critical KPIs and business insights across our organization. Working with loosely defined problems, you'll transform complex data into clear, actionable narratives that anticipate leadership questions before they're asked. Your role will be pivotal in maintaining data governance standards while making insights readily accessible through efficient, self-service data solutions. ABOUT YOU You're a data storyteller who balances technical expertise with strong business acumen. You excel at working cross-functionally, translating business requirements into robust analytical frameworks. You're naturally curious, with an ability to look beyond immediate data requests to identify the underlying strategic questions. You thrive in ambiguous situations, delivering independently with minimal guidance while continuously improving data processes. Your communication skills are exceptional, allowing you to distill complex analyses into compelling insights for both technical and executive audiences. As a Business Intelligence Engineer, you will... - Design, implement, and optimize BI solutions that effectively track KPIs and provide insights for monthly business reviews and executive reporting, ensuring speed, reliability, and scalability - Break down high-level business metrics into constituent components and leading indicators that provide actionable insights for leadership - Anticipate leadership questions and proactively develop analyses and visualizations that address emerging business needs - Automate the identification of key contributing dimensions to metric variance, enabling faster root cause analysis - Develop concise, impactful data visualizations that communicate complex trends and insights effectively to executive audiences - Develop clear documentation that bridges technical implementation with business context, enabling both technical and non-technical stakeholders to understand reporting methodologies - Communicate findings and insights to stakeholders in a clear, concise, and actionable manner - Balance stakeholder requirements with technical constraints while maintaining a focus on long-term solutions - Serve as a data governance advocate, ensuring consistency in metrics definitions and data quality - Partner with data scientists, engineers, product managers, and business leaders to align reporting with strategic objectives 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: - Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred) - 3+ years experience analyzing and interpreting data with Redshift, Oracle, NoSQL etc. - Experience working with multiple groups of stakeholders Preferred Qualifications: - Experience handling ambiguous or undefined challenges through strong problem solving abilities - Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization - Experience with process improvement initiatives that enhanced data accessibility or quality - Experience supporting executive reporting and business reviews - Experience working in media, entertainment, or subscription-based businesses - Understanding of data governance principles and practices Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. m/w/d 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, Customer Service Analytics at Audible GmbH. Skills: Business Intelligence, Data Analytics, Reporting. Design BI solutions. Implement BI solutions", "postedDate" : "2026-06-13T06:37:10.535", "createdAt" : "2026-06-13T06:37:10.535", "lastUpdated" : "2026-06-15T04:08:52.820", "ingestTimestamp" : "2026-06-13T06:37:10.535", "mongoId" : "69fda4e34c40e2acd1b997b2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10413473/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data visualization", "KPI tracking", "Root cause analysis", "Metric definition", "Data governance", "Curious", "Independent", "Business Intelligence", "Data Analytics", "Reporting", "Business acumen", "Data storytelling", "Analytical frameworks", "Customer Service Analytics", "Tableau" ], "skillCount" : 15, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305750f292fd229cf37c37", "title" : "Senior Business Intelligence Analyst – Product Analytics", "company" : "ZoomInfo Technologies LLC", "industry" : "Technology", "salary" : { "min" : 85000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Business Intelligence Analyst in Bulgaria, adjusted for the SaaS industry and remote work." }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T07:46:55.942", "fingerprint" : "5f805319f5556283dd8f227f06ff5eddef1b3cfa6b34cf8b1616ae9d9b91e93d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.zoominfo.com/careers?gh_jid=8561605002", "externalId" : "8561605002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Product analytics", "Business intelligence", "Data engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkillsList" : [ "Data modeling", "Statistical analysis", "Machine learning", "Data warehousing", "ETL processes", "Data visualization", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Product analytics, Business intelligence, Data science, Data engineering", "majorSkillsList" : [ "Product analytics", "Business intelligence", "Data science", "Data engineering" ], "coreResponsibilities" : "Develop and maintain BI dashboards, Build and optimize data pipelines, Perform complex data analysis, Collaborate with product managers, Identify key product metrics, Drive data-informed product decisions, Communicate findings to stakeholders, Develop and implement A/B tests", "teamCollaboration" : "Cross-functional teams; Product managers; Engineering teams; Stakeholders", "domainKnowledge" : "Product analytics; Data science; Data engineering; Machine learning; Business intelligence; Cloud data platforms; Statistical modeling", "domainList" : [ "product-analytics", "data-science", "data-engineering", "machine-learning", "business-intelligence", "cloud-data-platforms", "statistical-modeling" ], "domainSpecificKnowledge" : [ "Product analytics", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Cloud data platforms", "Statistical modeling" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "communicationSkills" : "Stakeholder communication; Data storytelling", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Analytical skills; Problem-solving", "outcomesObjectives" : "Drive data-informed product decisions; Identify key product metrics", "qualificationsBasic" : "SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast. Overview We are seeking a Senior Business Intelligence Analyst to help drive product strategy and execution through analytics, measurement, and actionable insights across Product, Product Leadership, and Engineering. This role is responsible for transforming complex product and business questions into actionable insights, scalable measurement approaches, and trusted analytics that influence product outcomes and business performance. This role focuses on product analytics, customer behavior, product performance, and business outcomes. The successful candidate will help Product and Engineering teams understand what is happening, why it is happening, and what actions should be taken next. The ideal candidate combines strong analytical skills, product thinking, business acumen, intellectual curiosity, and a bias toward action. They are comfortable navigating evolving business needs, quickly learning new domains, and applying data to solve complex product and customer challenges. They will independently own analytics initiatives from problem definition through recommendation while helping evolve how analytics supports Product and Engineering organizations. You will operate with a high degree of autonomy and influence, partnering closely with Product Managers, Product Leadership, Engineering, Data Engineering, and Business Intelligence teams to ensure product investments are measurable, impactful, and aligned with business objectives. What You'll Do Product Analytics Ownership • Partner with Product Managers and Engineering leaders to understand customer workflows, product experiences, user behaviors, and business objectives, using data to drive product strategy and decision-making. • Develop a deep understanding of customer workflows, product experiences, and user behaviors to identify opportunities for improved adoption, engagement, retention, and value realization. • Define success metrics and measurement plans for product launches, features, and strategic initiatives. • Develop and refine KPIs and measurement frameworks that align teams around product and business performance. • Partner with Product and Engineering teams to define event tracking requirements and ensure product telemetry supports meaningful measurement and analysis. • Quantify opportunity size and help Product teams prioritize investments based on expected customer value, business impact, and strategic objectives. • Support product teams throughout the product lifecycle, from opportunity identification and prioritization through launch and post-release evaluation. Analytics Execution & Insight Generation • Conduct deep-dive analyses to identify trends, opportunities, risks, and root causes. • Translate complex business questions into actionable insights and recommendations. • Design, analyze, and communicate results from experiments, feature launches, and product initiatives, evaluating customer and business impact. • Identify and quantify opportunities to improve product experiences, customer engagement, retention, and business outcomes through data-driven analysis. • Evaluate tradeoffs between competing product investments and provide analytical recommendations that support roadmap prioritization. Stakeholder Partnership & Data Storytelling • Act as a trusted analytics partner to Product, Engineering, and Leadership teams. • Present analytical findings and recommendations through clear narratives and effective visualizations. • Influence prioritization and strategic decisions through evidence-based insights. • Communicate complex analytical concepts to both technical and non-technical audiences. Analytics Excellence & Innovation • Partner with Data Engineering and Analytics teams to improve data quality, instrumentation, and accessibility. • Leverage modern analytics and AI-powered tools to accelerate analysis and improve team efficiency. • Contribute to scalable analytics best practices, governance, and continuous improvement across the organization. About You • You think beyond dashboards and reporting, focusing on the business decisions, customer behaviors, and product outcomes behind the data. • You bring strong product and analytical instincts, using customer behavior, product usage patterns, and business outcomes to guide recommendations and influence product decisions. • You are naturally curious, comfortable navigating ambiguity, and able to bring structure and clarity to evolving challenges. • You can move seamlessly between technical analysis, stakeholder discussions, and executive communication. • You operate independently, take ownership of outcomes, and effectively influence stakeholders through sound judgment and analytical rigor. What You Bring • 5+ years of experience in Business Intelligence, Product Analytics, Growth Analytics, or related analytical roles within B2B SaaS or technology organizations. • Demonstrated experience influencing product, business, or operational decisions through analytical insights and recommendations. • Strong SQL skills and experience working with large-scale datasets. Experience with Python or other analytical programming languages is a plus. • Experience partnering with cross-functional teams, including Product Management, Engineering, and Business stakeholders. • Proven ability to define KPIs, build measurement frameworks, and translate complex business questions into actionable analysis and recommendations. • Experience analyzing product adoption, customer behavior, engagement, retention, experimentation, or product performance. • Strong communication and data storytelling skills, with the ability to tailor insights to technical and executive audiences. • Demonstrated experience leveraging AI-powered tools and LLMs to accelerate analytical workflows, automate repetitive tasks, improve research efficiency, enhance data exploration, and generate actionable insights. Success in This Role Means • Product teams consistently use your analyses and recommendations to improve product experiences, customer outcomes, and business performance. • Product teams use your analyses to prioritize roadmap investments, evaluate tradeoffs, and make more informed product decisions. • Product and business metrics are trusted, accurate, clearly defined, and consistently applied across the organization. • Complex product and business questions are translated into clear analytical approaches that drive meaningful action and measurable outcomes. • Product opportunities, launches, and strategic initiatives are supported by clear measurement frameworks and well-defined success criteria. • Product launches, experiments, and strategic initiatives have measurable business impact. • Product decisions are increasingly informed by customer behavior, product usage patterns, and business performance insights. • ZoomInfo gains a deeper understanding of customer behavior, product adoption, engagement, and business performance through your work. Equal Employment Opportunity (EEO) Statement Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $112,840—$177,320 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.", "summaryDescription" : "Senior Business Intelligence Analyst – Product Analytics at ZoomInfo Technologies LLC. Skills: Product analytics, Business intelligence, Data science, Data engineering. Develop and maintain BI dashboards. Build and optimize data pipelines", "postedDate" : "2026-06-15T23:23:13.490", "createdAt" : "2026-06-15T23:23:13.490", "lastUpdated" : "2026-06-16T07:46:55.942", "ingestTimestamp" : "2026-06-15T23:23:13.490", "mongoId" : "6a305750f292fd229cf37c37", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Data warehousing", "ETL processes", "Data visualization", "A/B testing", "Causal inference", "Product analytics", "Business intelligence", "Data science", "Data engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Cloud data platforms", "Statistical modeling", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30a1e0f292fd229c116c59", "title" : "Senior/Staff Data Scientist, Product Analytics", "company" : "Gallup", "salary" : { "min" : 135000.0, "max" : 180000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Omaha Riverfront", "locations" : [ "Omaha Riverfront" ], "timestamp" : "2026-06-16T14:10:48.359", "fingerprint" : "df4fb5183ce8d7b287b382fa0a23ef9977e48b1a697c4d21cef67c000c54c25a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gallup/jobs/4156860009", "externalId" : "4156860009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Omaha", "state" : "Nebraska", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "41.2587459,-95.9383758" } ], "locationText" : "Omaha, Nebraska, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "rawDescription" : "Shape product road maps and strategies with data-driven analytics and insights. As a senior/staff data scientist focused on product analytics for our Technology team, you’ll work with product managers, engineers and designers to define success, validate hypotheses, and measure user behavior and product performance. We’re looking for self-driven, curious analytics partners who thrive in ambiguity, learn continually and help teams accelerate decision-making. At Gallup, our analytics reflect what the world is thinking, empower millions of people to thrive using their strengths, and help leaders create exceptional workplaces. If you want your work to influence products that bring that mission to life, we’d love to hear from you. What You’ll Do Partner with product teams early in discovery, road map discussions and launch planning to turn goals into measurable outcomes Define and govern success metrics by building trusted metric definitions, dashboards and data models that enable self-serve decision-making Design and evaluate product experiments and analyses to assess the impact of new features, onboarding changes and product improvements Serve as a thought partner to product managers by pressure-testing hypotheses before implementation and confirming whether outcomes match expectations after launch Translate analysis into action by communicating what happened; why it happened; and what stakeholders, leaders and partners should do next Improve analytics readiness by partnering with data platform and engineering teams on instrumentation, extraction, processing and modeling to ensure reliable, analysis-ready data Scale product analytics at Gallup by contributing to best practices, frameworks and repeatable ways of working What Makes You Stand Out Proactive problem-solving: You anticipate issues and opportunities in the data, translate analysis into action, and rapidly drive improvements to the user experience. Persistent resourcefulness: You independently create clarity from ambiguity, connecting distributed data, validating quality and delivering insights without relying on fully defined systems. Trusted product partnership: You collaborate closely with product, engineering, design, research and operations teams to solve complex problems, and confidently deliver constructive, data-backed recommendations. Experimentation judgment: You know when A/B tests are feasible and when they aren’t, and you can choose rigorous alternatives to answer product questions. Expert data storytelling: You explain trends, uncertainty and limitations in plain language and deliver recommendations people can act on. Curious culture-builder: You experiment with emerging tools, including AI, to improve team effectiveness and actively build data fluency so partners can confidently navigate metrics and insights. What You Need Bachelor’s degree in computer science, computer engineering, mathematics, statistics or a related field, or equivalent experience, required At least five years of experience in product analytics or data science required; eight or more years of experience preferred At least five years of experience with SQL for analysis in modern data environments required At least five years of experience with Python and data science tool kits (e.g., pandas) required Experience leading data-driven projects end to end, including defining metrics, designing experiments/analyses and communicating actionable insights required Strong statistical intuition, analytical rigor, and experience validating data and performing quality checks required High fluency with MPP databases such as Snowflake or Redshift required Some data engineering or instrumentation experience (pipelines, event tracking, modeling) preferred A commitment to working on-site at Gallup’s Omaha office at least three days per week required About Gallup At Gallup, we change the world, one client at a time, through extraordinary analytics and advice on everything important facing humankind. Learn more about our work and life at Gallup. Gallup offers a robust benefits package that includes medical, dental, vision, life and other insurance options; a fully vested 401(k) retirement savings plan with company matching; an employee stock ownership program; family-building benefits; an employee assistance program; and various reimbursements and activities that enhance our associates’ wellbeing. We also offer an estimated annual salary range of $135,000-$180,000 for this role. Salaries are based on a variety of factors, including an individual’s education, experience and skills. Gallup is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other legally protected basis, in accordance with applicable law. To review Gallup’s Privacy Statement, please click this link: https://www.gallup.com/privacy. This privacy policy is meant to help you understand what information we collect, why we collect it, and how you can update, manage and delete your information. Your application and the information you provide will be processed and stored in the United States. #LI-Hybrid #LI-KW1", "summaryDescription" : "Senior/Staff Data Scientist, Product Analytics at Gallup", "postedDate" : "2026-06-16T03:17:26.320", "createdAt" : "2026-06-16T03:17:26.320", "lastUpdated" : "2026-06-16T14:10:48.359", "ingestTimestamp" : "2026-06-16T03:17:26.320", "mongoId" : "6a30a1e0f292fd229c116c59", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 180000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca64474d8ee00a09ba74f", "title" : "Head of Product Analytics", "company" : "Tide", "industry" : "FinTech", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Product Analytics in Sofia, Bulgaria, adjusted for the FinTech industry and a mid-size company." }, "location" : "Sofia", "locations" : [ "Sofia" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T10:11:39.378", "fingerprint" : "8863979707b657f581ec8d0fd12849db26355d132c0567d6b06e06e29eef0a99", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tide/jobs/7723083003", "externalId" : "7723083003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sofia", "country" : "Bulgaria", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "42.6977028,23.3217359" } ], "locationText" : "Sofia, Bulgaria", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio, LaunchDarkly, Segment, Heap", "professionalSkills" : [ "Product strategy", "Data-driven techniques", "Impact hypotheses", "KPI reporting", "Custom analysis", "User behaviour awareness" ], "hardSkillsList" : [ "Statistical methods", "Experiment design", "Data deep dives", "Exploratory analysis", "Quantitative analysis", "Causal inference", "A/B testing" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" }, { "name" : "Data deep dives", "level" : "intermediate" }, { "name" : "Exploratory analysis", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Product Analytics, Experimentation, Data analysis", "majorSkillsList" : [ "Product Analytics", "Experimentation", "Data analysis" ], "coreResponsibilities" : "Drive product adoption, Inform product strategy, Identify user problems, Quantify problem size, Propose product experiments, Design product experiments, Analyse product experiments, Define measurable KPIs, Perform data deep dives, Assist working groups, Translate goals to KPIs, Enable KPI reporting, Validate correlations, Prioritise investment, Design experiments, Analyse experiment results, Deliver self-serve platform, Build stats-engine", "teamCollaboration" : "Product teams; Product squad; Analytics engineers; Data teams; Engineering teams; Data product teams; Data science teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "SME banking; Product adoption; User engagement; Member longevity; LTV correlations; Event data analytics", "domainList" : [ "sme-banking", "product-adoption", "user-engagement", "member-longevity", "ltv-correlations", "event-data-analytics" ], "domainSpecificKnowledge" : [ "SME banking", "Product adoption", "User engagement", "Member longevity", "LTV correlations", "Event data analytics" ], "toolProficiency" : [ "LaunchDarkly", "Segment", "Heap" ], "communicationSkills" : "Executive presentations", "innovationCreativity" : "Innovation hubs", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Improve adoption and engagement; Solve user problems; Drive product usage; Achieve commercial goals; Focus on high impact problems; Scale product features", "qualificationsBasic" : "10+ years of experience, Product Analytics experience, SQL proficiency, Product experimentation expert", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "workSiteFlexibility" : "Flexible", "rawDescription" : "ABOUT TIDE At Tide, we help SMEs save time and money in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions, from invoicing to accounting. Tide is transforming the small business banking market and now supports over 2 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data driven decisions to serve our mission: to help SMEs save time and money so they can get back to doing what they love. Tide facts: Tide is available for UK, Indian, German and French SMEs Over 2 million members: 900,000 UK and 1,100,000 in India and growing rapidly Over $300 million raised in funding Over 2,800 Tideans globally Recognised with Great Place to Work certification three years in a row, and among India’s Top 50 Best Workplaces in Banking, Financial Services, and Insurance in 2026 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram, New Delhi, Berlin, Paris and Luxembourg ABOUT THE ROLE: As a Head of Product Analytics you’ll work closely with Tide’s product teams to use data to drive product adoption. You’ll work within the product analytics team to use data to inform our collective understanding of users, their problems and thus inform product strategy. This role will suit an individual that can operate with a high degree of independence and has hands-on experience of proactively working with the product community. You are an expert and constructive critique of digital products with strong views on data-driven techniques to improve adoption and engagement of various products & features. You will be working as a part of the product squad with a functional reporting into the Head of Product. Some of the things you’ll be doing: Product Discovery - hypothesis driven deep dives (existing product usage data) to identify user problems, quantify size of the problem and highlight solution(s). Solution confidence - product experiments are a means to an end. They help us produce data to build confidence on the product & features we plan to invest in. You would be the product experimentation expert and would observe data, propose, design and analyse product experiments. Product and feature performance review - new features solve user user problems and drive product usage and thus adoption. You would work with product teams to identify & analyse various impact hypotheses behind new products and features and define measurable KPIs. User research - solving user problems helps us achieve commercial goals. You would identify opportunities, perform data deep dives (exploratory and hypothesis driven) to improve our collective understanding of user problems and assist working groups to focus on and prioritise high impact user problems. Goals to KPI translations - you would work with product managers to break overall revenue goals into business KPIs, identify impact hypotheses and convert into measurable product KPIs. You would work with analytics engineers to enable KPI reporting through visually speaking dashboards. Engagement to LTV correlations - engagement driven products and features have an indirect, unestablished impact on member longevity (commercially speaking LTV). We use data to establish this correlation and quantify the indirect impact. You would be required to perform custom analysis, using statistical methods to validate these correlations and assist product teams to prioritise investment on scaling product and features that have an indirect impact on engagement, longevity and thus LTV. Experimentation & product growth - you will operate with a high degree of user behaviour awareness (backed by consistent event data observation) and assist product managers by designing experiments to drive product adoption. You would use custom data analysis and statistical methods to analyse experiment results. Self Serve Product Analytics - partner with data, engineering, data product and data science teams to deliver a world-class self-serve event data analytics platform for app and web products. Our experimentation stack includes platforms like LaunchDarkly for shipping variants, Segment for events, Heap for visualisation. You would be required to partner with data-science teams to build a stats-engine for relevant KPIs for each product enabling a seamless self-serve analytics for business and product teams. You’ll be a great fit if: 10+ years of experience working on Product Analytics for a digital product. Strong hold on product strategy, experimentation, roadmapping, & prioritisation You are a consumer tech geek, preferably fintech (not mandatory). You are a natural storyteller with exceptional presentation skills. You believe and invest time in project management and have exceptional people skills. You understand and believe user experience is a product. You are humble enough to know that you need to learn, and confident enough to showcase your skills, speak your mind and even challenge the status quo. You have an intrinsic need to be excellent but have learnt to be action oriented. You have failed and can talk about it at length. You have worked as an analyst and a product manager. You have excellent SQL proficiency and are willing to crunch complex numbers. You are a self starter and can operate with a high degree of independence. You have the ability to deal with ambiguity and competing objectives in a fast paced environment. You have lead a team of analysts in Product Companies WHAT YOU’LL GET IN RETURN: Remote first 25 days paid annual leave 3 additional days for volunteering and learning Private Health Insurance Mental Health Support Platform FitPass Family and Friendly Leave (according to statutory) Personal L&D budget Share options TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard. Disclaimer It has come to our attention that individuals or agencies are falsely claiming to represent Tide and are reaching out to candidates regarding job opportunities. Please be aware that: Tide does not charge any fees at any stage of the recruitment process. All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel. Communication from Tide will only come from an official @tide.co email address. Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf. If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process. Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy. Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.", "summaryDescription" : "Head of Product Analytics at Tide. Skills: Product Analytics, Experimentation, Data analysis. Drive product adoption. Inform product strategy", "postedDate" : "2026-06-14T09:16:09.619", "createdAt" : "2026-06-14T09:16:09.619", "lastUpdated" : "2026-06-15T10:11:39.378", "ingestTimestamp" : "2026-06-14T09:16:09.619", "mongoId" : "6a2ca64474d8ee00a09ba74f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Statistical methods", "Experiment design", "Data deep dives", "Exploratory analysis", "Quantitative analysis", "Causal inference", "A/B testing", "Leadership", "Product Analytics", "Experimentation", "Data analysis", "Product strategy", "Data-driven techniques", "Impact hypotheses", "KPI reporting", "Custom analysis", "User behaviour awareness", "Roadmap planning", "SME banking", "Product adoption", "User engagement", "Member longevity", "LTV correlations", "Event data analytics", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "LaunchDarkly", "Segment", "Heap" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.97 }, { "id" : "69fe94fe4c40e2acd11218a5", "title" : "Director, Product Analytics", "company" : "Audible, Inc.", "industry" : "Business Intelligence, Business Intel Engineer, subsidiaries", "salary" : { "min" : 143000.0, "max" : 194000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Newark, New Jersey, USA", "locations" : [ "Newark, New Jersey, USA" ], "timestamp" : "2026-06-14T22:29:20.411", "fingerprint" : "fa534deb656e12471178067135ca6f3e9a55b772002df0c16bdc7170f2f170fd", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10414716/apply", "externalId" : "f53ff086-079f-4e5a-97eb-3a3329e73e9d", "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" : "SQL, Python, Tableau", "professionalSkills" : [ "Business acumen", "System inter-dependencies", "Data governance" ], "hardSkillsList" : [ "Data analysis", "Analytical methodologies", "Measurement frameworks", "KPI framework", "Testable structure", "Process improvement" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Analytical methodologies", "level" : "intermediate" }, { "name" : "Measurement frameworks", "level" : "intermediate" }, { "name" : "KPI framework", "level" : "intermediate" }, { "name" : "Testable structure", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Product analytics, Data insights, Business strategy", "majorSkillsList" : [ "Product analytics", "Data insights", "Business strategy" ], "coreResponsibilities" : "Define measurement approaches, Execute measurement approaches, Define optimization approaches, Execute optimization approaches, Identify relevant data sources, Leverage analytical methodologies, Create KPI frameworks, Instrument KPI frameworks, Partner with Product leaders, Partner with Engineering leaders, Partner with Business leaders, Define success metrics, Define measurement frameworks, Lead analytics initiatives, Serve as strategic thought partner, Deliver accurate analysis, Deliver insightful analysis, Build reports, Maintain reports, Build dashboards, Maintain dashboards, Build tools, Maintain tools, Write compelling documents, Deliver crisp presentations, Translate complex problems", "teamCollaboration" : "Cross-functional analytics initiatives; Other analysts; Other scientists; Economists", "projectManagementSkills" : [ "Cross functional projects" ], "domainKnowledge" : "Product strategy; Data governance", "domainList" : [ "product-strategy", "data-governance" ], "domainSpecificKnowledge" : [ "Product strategy", "Data governance" ], "toolProficiency" : [ "Excel", "Pivot Tables", "SQL", "Tableau" ], "communicationSkills" : "Clear communication; Crisp presentations", "documentationSkills" : "Compelling documents", "innovationCreativity" : "Innovative solutions", "problemSolvingSkills" : "Break down complexity; Find innovative solutions", "outcomesObjectives" : "Deliver high-quality decision making", "qualificationsBasic" : "Proficient in SQL, Proficient in Python, 7+ years relevant experience, 5+ years with advanced degree, Experience running projects across multiple functions, Experience with data analysis tools, Experience with Excel, Experience with Pivot Tables, Experience with SQL, Experience with Tableau", "qualificationsPreferred" : "Experience supporting executive reporting, Experience supporting business reviews, 2+ years customer service analytics, Ability to work in ambiguous situations, Ability to work flexible schedule, Understanding of data governance principles, Understanding of data governance practices, Track record of process improvement, Interpersonal skills, Ability to build relationships", "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. ABOUT THIS ROLE As Director, Product Analytics, you'll serve as a data-driven decision enabler for our Product leadership team. This role combines deep technical expertise with business acumen to transform complex data into actionable insights that shape product strategy. You'll be responsible for designing, implementing, and optimizing the reporting processes that deliver critical KPIs and business insights across our organization. Working with loosely defined problems, you'll transform complex data into clear, actionable narratives. Your role will be pivotal in maintaining data governance standards while making insights readily accessible through efficient, self-service data solutions. ABOUT YOU You are proficient in SQL and Python with demonstrated experience delivering products or prototypes end-to-end (from conception, to design, to specification, to code, to test, to measurement, to presentation). You possess an in-depth knowledge of relevant data sources, business intelligence technologies, data science and analytical tools: you know what’s possible, in which direction to steer, and how to move fast with solutions, adjustments, and recommendations. You connect the dots and understand system inter-dependencies and limitations to build efficient solutions. You can frame hypotheses, decisions, and assumptions into a testable structure. You work fast, deliver reliably against your commitments, and have a strong handle on processes that enable your success. You have a business acumen that helps you speak fluently in your business partners’ language, helping them achieve or surpass their goals. You can break down complexity and find innovative solutions to cross-functional problems. You are a team player who is excited to collaborate with other analysts and scientists in our broader organization. As a Director, Product Analytics, you will... - Define and execute measurement and optimization approaches for Audible’s product organization, identifying relevant data sources and leveraging best practice analytical methodologies, including creating and instrumenting the right KPI framework(s) - Partner with Product, Engineering, and Business leaders to define success metrics and measurement frameworks - Lead cross-functional analytics initiatives that directly influence product roadmap and business strategy - Serve as strategic thought partner to stakeholders in the Product organization, earning trust through insightful analysis and clear communication - Consistently deliver accurate and insightful analysis, driving high-quality decision making within our business - Collaborate effectively with other members of our organization, including other analysts, scientists, and economists - Build and maintain reports, dashboards, and other tools to enable on-demand insights for the business - Write compelling documents and deliver crisp presentations, translating complex problems into simplified, relevant outputs that can be quickly understood and actioned by both technical and non-technical audiences 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 with data analysis tools such as Excel, Pivot Tables, SQL, Tableau, etc. - 7+ years equivalent relevant experience in a data driven/analytical role or 5+ years with an advanced/technical degree in Analytics, Business, Operations Research, Economics, Mathematics, Statistics, Engineering, Sciences (Political or Natural) or similar field - Experience running projects across multiple functions with diverse stakeholder groups (cross functional, cross-geo)Experience running projects across multiple functions with diverse stakeholder groups (cross functional, cross-geo) Preferred Qualifications: - Experience supporting executive reporting and business reviews - 2+ years prior experience in customer service analytics - Ability to work in ambiguous situations with limited guidance - Ability to work an adjusted or flexible schedule that meets the occasional needs of US meeting times - Understanding of data governance principles and practices - Track record of process improvement initiatives that enhanced data accessibility or quality - Strong interpersonal skills with ability to build relationships 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 - 143,400.00 - 194,000.00 USD annually", "summaryDescription" : "Director, Product Analytics at Audible, Inc.. Skills: Product analytics, Data insights, Business strategy. Define measurement approaches. Execute measurement approaches", "postedDate" : "2026-06-13T04:45:02.775", "createdAt" : "2026-06-13T04:45:02.775", "lastUpdated" : "2026-06-14T22:29:20.411", "ingestTimestamp" : "2026-06-13T04:45:02.775", "mongoId" : "69fe94fe4c40e2acd11218a5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10414716/apply", "salaryAnnualMin" : 143000, "salaryAnnualMax" : 194000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Analytical methodologies", "Measurement frameworks", "KPI framework", "Testable structure", "Process improvement", "Leadership", "Product analytics", "Data insights", "Business strategy", "Business acumen", "System inter-dependencies", "Data governance", "Cross functional projects", "Product strategy", "Excel", "Pivot Tables", "SQL", "Tableau" ], "skillCount" : 19, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69fc49a74c40e2acd1a83415", "title" : "Marketing Analytics Manager", "company" : "Hyundai Capital America", "industry" : "Banking", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Marketing Analytics Manager in Irvine, United States, adjusted for manager seniority and the financial services industry." }, "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "
Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "timestamp" : "2026-06-16T01:10:37.668", "fingerprint" : "c35d7cf58f4ab7b173b8df7adcd895b6d248695c9107c0bcfedc37096b8d1ae2", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=114905", "externalId" : "114905", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 3 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. We Take Care of Our People Along with competitive pay, as an employee of HCA, you are eligible for: · Medical, dental, and vision plans with no-cost and low-cost options · Annual employer HSA contribution · 401(k) matching and immediate vesting · Vehicle purchase and lease discounts, plus monthly vehicle allowances by job level: o Associate / Sr. Associate: $350 o Manager / Sr. Manager: $600 o Director: $800 o Executive Director: $900 o VP or Above: $1,000 · 100% employer-paid life and disability insurance · No-cost health and wellbeing programs, including a gym benefit · Six weeks of paid parental leave · Paid Volunteer Time Off, plus a company donation to a charity of your choice What to Expect The Marketing Analytics Manager is responsible for delivering actionable insights that drive lifecycle marketing effectiveness, personalization, and performance optimization across owned digital channels. This role partners closely with Marketing, Digital, Product, Finance, and OEM stakeholders to translate complex data into actionable insights that improve customer acquisition, retention, and lifetime value. What You Will Do 1. Cross ‑ Platform Marketing Analytics & Insights · Lead and execute end ‑ to ‑ end measurement strategies for digital marketing programs, across Salesforce Marketing Cloud and Adobe Experience Cloud. · Define and manage KPIs, dashboards, and scorecards for lifecycle marketing, including conversion, retention, renewal, and cross ‑ sell. · Analyze campaign performance to identify optimization opportunities and inform ongoing digital marketing strategies. 2. Journey Analytics & Attribution · Analyze end ‑ to ‑ end customer journeys by integrating Adobe behavioral data with Salesforce campaign and journey execution data. · Design and manage attribution models (e.g., multi ‑ touch, data ‑ driven) to assess marketing impact across channels and touchpoints. · Apply advanced analytics techniques (segmentation, cohort analysis, LTV modeling, propensity scoring) to support targeting and personalization strategies. · Align Adobe Analytics data with Salesforce Marketing Cloud reporting to quantify marketing impact and downstream financial outcomes. · Partner with marketing and UX teams to optimize journey design, cadence, messaging, and experience strategy. 3. Data & Marketing Technology Enablement · Partner with experience teams to ensure reliable data pipelines across platforms such as CRM, web analytics, media platforms, and enterprise data warehouses. · Serve as an analytics stakeholder in marketing technology initiatives (e.g., Salesforce, Adobe, CDPs). · Ensure analytics solutions scale across multiple brands, products, and OEM requirements. 4. Cross ‑ Functional & Executive Partnership · Translate complex cross ‑ platform data into clear insights, narratives, and recommendations tailored to executive, marketing, and operational audiences. · Support marketing investment decisions, lifecycle strategy, and digital experience optimization efforts. · Support strategic initiatives such as new product launches, dealer programs, UX enhancements, and digital transformation efforts. · Act as a trusted advisor to marketing leadership on performance trends, risks, and investment decisions. What You Will Bring · Minimum 5-7 years of progressive experience in marketing analytics, digital analytics, or CRM analytics. · Experience with Salesforce and Adobe technology stacks. · Experience with content marketing, email marketing, and SEO marketing. · Automotive or financial services industries preferred. · Bachelor’s degree in Marketing, Analytics, Business, Statistics or related discipline. · Salesforce or Adobe certification(s) a plus. · MBA a plus. · Strong working knowledge of Salesforce Marketing Cloud, including customer data activation, journey performance, segmentation effectiveness, and attribution across channels. · SQL proficiency with the ability to query, join, and analyze large datasets across enterprise data warehouses and marketing platforms. · Exceptional attention to detail and quality. · Ability to work autonomously and in a team environment. · Excellent verbal and written communication, including presentation skills. · Excellent interpersonal skills to successfully collaborate with cross functional departments. · Strong orientation toward results coupled with reputation for integrity, creativity and good judgment · Must have the ability to challenge, when appropriate, existing practices. · Proficient in Microsoft 365 Suite (Word, Excel, PowerPoint, Outlook, Teams, Copilot). Work Environment Employees in this class are subject to extended periods of sitting, standing, and walking, vision to monitor and moderate noise levels. Work is performed in an at home and office environment. The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . 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"applyUrl" : "https://jobs.lever.co/jobgether/ccee9845-c14c-42ad-80c8-8727d2f44f14/apply", "externalId" : "ccee9845-c14c-42ad-80c8-8727d2f44f14", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Excel, Alteryx, SAS, Power BI", "professionalSkills" : [ "Analytical thinking", "Problem-solving", "Scenario modeling", "Performance evaluation", "Business planning" ], "hardSkillsList" : [ "Payer analytics", "Claims data analysis", "Reimbursement policy analysis", "Data infrastructure improvement", "Data quality management", "Cross-system consistency", "Agreement impact assessment" ], "softSkillsList" : [ "Presentation skills", "Organizational skills" ], "hardSkills" : [ { "name" : "Payer analytics", "level" : "intermediate" }, { "name" : "Claims 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strategic recommendations, Support payer strategy, Support field reimbursement, Support leadership decision-making, Partner with IT, Partner with data engineering teams, Improve data infrastructure, Improve reporting automation, Improve data quality, Improve cross-system consistency, Support payer contracting teams, Support pricing teams, Serve as liaison with external data vendors, Ensure data accuracy, Ensure data completeness, Ensure data usability, Lead analytical initiatives, Lead business planning cycles, Deliver actionable insights", "teamCollaboration" : "IT teams; Data engineering teams; Payer contracting teams; Pricing teams; External data vendors; Claims providers; Cross-functional analytical initiatives; Cross-functional teams; Vendor partners; Matrixed environment", "projectManagementSkills" : [ "Manage multiple projects", "Prioritize effectively", "Meet tight deadlines" ], "domainKnowledge" : "Healthcare data ecosystems; Claims data; Specialty pharmacy data; Hub data; 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Engage senior stakeholders", "problemSolvingSkills" : "Problem-solving abilities; Translate complex datasets", "specialRequirements" : "Occasional travel (10–20%)", "qualificationsBasic" : "Bachelor's degree, 5+ years of experience, Expertise in healthcare data ecosystems", "qualificationsPreferred" : "Master's degree or MBA preferred, Experience in pharmaceutical or biopharma analytics, Experience within market access, Experience within payer analytics, Experience within commercial operations roles, Alteryx experience highly preferred, SAS experience highly preferred, Power BI experience highly preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Analyze payer coverage, reimbursement policies, and access dynamics across commercial, Medicare, and Medicaid channels, identifying barriers such as prior authorizations, step edits, and denials and quantifying their impact on patient access. Develop and maintain dashboards and reporting tools to monitor key performance indicators including time-to-fill, approval rates, therapy persistence, utilization trends, and adherence patterns. Translate claims, hub, and patient services data into clear insights and strategic recommendations that support payer strategy, field reimbursement, and leadership decision-making. Partner with IT and data engineering teams to improve data infrastructure, reporting automation, data quality, and cross-system consistency. Support payer contracting and pricing teams through scenario modeling, performance evaluation, and assessment of agreement impacts on access and financial outcomes. Serve as the primary liaison with external data vendors and claims providers, ensuring data accuracy, completeness, and usability. Lead cross-functional analytical initiatives and business planning cycles, including quarterly reviews and long-range planning, delivering timely and actionable insights. Requirements: Bachelor’s degree required; Master’s degree or MBA preferred, or equivalent combination of education and relevant experience. 5+ years of experience in pharmaceutical or biopharma analytics, preferably within market access, payer analytics, or commercial operations roles. Strong expertise in healthcare data ecosystems, including claims, specialty pharmacy, hub data, and industry datasets such as IQVIA or similar sources. Advanced proficiency in Excel, with additional experience in tools such as Alteryx, SAS, and/or Power BI highly preferred. Strong analytical thinking, problem-solving abilities, and capability to translate complex datasets into clear business insights. Excellent communication and presentation skills with the ability to engage senior stakeholders and cross-functional teams. Strong organizational skills with the ability to manage multiple projects, prioritize effectively, and meet tight deadlines. Collaborative mindset with experience working across commercial, IT, and vendor partners in a matrixed environment. Benefits: Competitive base salary range: $116,000 – $151,000, plus short-term incentives and long-term equity compensation opportunities. Comprehensive health, dental, vision, life insurance, and disability coverage for employees and eligible dependents. Retirement savings plan with employer match. Generous paid time off and well-being support programs. Access to wellness initiatives and employee assistance resources. Opportunity to work in a mission-driven environment focused on improving outcomes for patients with rare diseases. Flexible remote working structure with occasional travel (10–20%) and collaboration with teams based in San Diego. ## 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" : "Manager, Payer Analytics & Operations. Skills: Payer analytics, Healthcare data, Data analysis, Reporting tools. Analyze payer coverage. 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Chicago, Illinois, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, R, Python, Hadoop", "professionalSkills" : [ "Project management", "Organizational skills", "Analytical skills" ], "hardSkillsList" : [ "Campaign analysis", "Data visualization", "Complex query development", "Performance optimization", "Relationship databases" ], "hardSkills" : [ { "name" : "Campaign analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Complex query development", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Relationship databases", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Client analytics, Measurement solutions", "majorSkillsList" : [ "Data analysis", "Client analytics", "Measurement solutions" ], "coreResponsibilities" : "Execute ad hoc analytical requests, Translate business questions, Conduct campaign analyses, Provide expert guidance, Develop in-depth analyses, Improve workflows, Address data anomalies, Enhance data visualizations, Generalize custom analyses, Support ad hoc reporting, Design advanced experiments, Evaluate advanced experiments, Drive analytical solutions", "teamCollaboration" : "Cross-functional teams; Client analytics teams; Account teams; Sales teams; Engineering teams; Product teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "AdTech; Media measurement; TV viewership data; Digital advertising", "domainList" : [ "adtech", "media-measurement", "tv-viewership-data", "digital-advertising" ], "domainSpecificKnowledge" : [ "AdTech", "Media measurement", "TV viewership data", "Digital advertising" ], "toolProficiency" : [ "Nexxen platform" ], "communicationSkills" : "Client-facing roles; Verbal communication; Written communication", "innovationCreativity" : "Innovative ways", "problemSolvingSkills" : "Analytical mindset; Problem scoping; Designing analyses", "outcomesObjectives" : "Deliver accurate measurement results; Deliver client value", "qualificationsBasic" : "BA/BS required, 3+ years analytics experience, Hands-on AdTech experience, Advanced SQL skills, Experience with R scripts", "qualificationsPreferred" : "Graduate degree preferred, PhD preferred, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who is Nexxen? Flexible advertising, unified by data. Nexxen empowers advertisers, agencies, publishers and broadcasters around the world to utilize data and advanced TV in the ways that are most meaningful to them. Our flexible and unified technology stack comprises a demand-side platform (“DSP”) and supply-side platform (“SSP”), with the Nexxen Data Platform at its core. Why join the Nexxen team? With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible and unified solutions. Employees hustle, commit and dedicate themselves to pillars that make up the Nexxen Way – the 3Cs - Customer Centric, Curious Mindset, Collaborative with No Ego. Important Notice from Nexxen: Your Safety Matters At Nexxen, we care about the well-being of our current and future employees. We are aware of the growing number of online scams and fraudulent job postings, and we urge all job seekers to remain vigilant. Please be advised that Nexxen will never request payment (whether in cash, cryptocurrency, or any other form) as a condition of employment, offer positions that require you to invest in vague or dubious financial schemes, or promote roles that resemble get-rich-quick opportunities. If you receive a suspicious message claiming to be from Nexxen or encounter a questionable job posting associated with our name, please contact us at infosec@nexxen.com to verify its legitimacy. Your trust is important to us. Stay safe and informed. Nexxen Fraud Alert and Notice: Protect Yourself from Impersonation and Fraudulent Activity https://nexxen.com/nexxen-fraud-alert-and-notice/ Nexxen is looking for a curious, analytical, and impact-driven professional to join our team. If you enjoy working with data to uncover insights and are motivated by solving open‑ended, custom business questions, this role is for you. You will collaborate closely with clients and cross-functional teams to deliver highly customized analytical solutions and uncover innovative ways to leverage Nexxen’s digital and TV viewership data. Rather than working from predefined templates, this role requires someone who can scope problems, design analyses, and drive solutions from concept to delivery. Your work will focus on building tailored solutions, enhancing measurement capabilities, and delivering meaningful results in a fast‑paced, evolving environment where priorities can shift quickly. We are seeking someone with a strong analytical mindset and genuine curiosity about data, paired with excellent communication skills and the ability to explain complex concepts clearly and persuasively. You should be a self-starter who thrives with autonomy, is comfortable navigating ambiguity, and is motivated to take ownership and move work forward. Above all, you should be driven to make a significant impact on business outcomes. This role will be based in our LA or Chicago local office. https://nexxen.com/our-locations/Our team follows a hybrid schedule, working in the office three days a week and remotely for the rest. What You’ll Do: - Own and execute custom ad hoc analytical requests, often with loosely defined requirements, translating business questions into structured analytical approaches. - Conduct comprehensive campaign analyses and provide expert guidance to client analytics teams using Nexxen’s platform. - Collaborate with senior analytics partners to develop in-depth analyses leveraging TV viewership data, third-party data assets, and campaign data available on Nexxen’s end-to-end platforms to deliver accurate measurement results. - Proactively identify opportunities to improve workflows, address data anomalies, and enhance data visualizations for bespoke measurement reporting. - Generalize one‑off or custom analyses into scalable frameworks where possible, while supporting ongoing ad hoc reporting needs. - Design, execute, and evaluate advanced experiments to validate advertising effectiveness and inform strategic business decisions. - Partner closely with Nexxen’s Account, Sales, Engineering, and Product teams to drive analytical solutions that deliver client value. What You’ll Bring: - BA / BS required, graduate degree preferred, ideally in Analytics or quantitative field - 3+ years of professional experience in analytics or data focused roles, including hands-on work with AdTech or media measurement solutions - Demonstrated ability to independently own complex, custom client deliverables with minimal structure or predefined playbooks - Strong organizational, analytical, and project management skills, with the ability to manage multiple priorities simultaneously - A proven self‑starter and “do‑er” who is comfortable taking initiative in a fast‑moving, dynamic, team environment - Excellent verbal and written communication skills, with experience in consultative, client-facing roles - Advanced SQL skills, including complex query development, performance optimization and experience with relationship databases and Hadoop/Big environment - Hands on experience with R, including the ability to read, modify, and troubleshoot sophisticated R scripts - Experience with data visualization skills, with the ability to create polished dashboards and customized views At Nexxen, we value our differences, varied experiences, and collective contribution. We know that not everyone takes the same career path, so if you don’t match this job description perfectly, don’t worry! We would rather see your application than risk missing out on your potential to make an impact. In support of pay transparency and equity, the minimum and maximum full-time annual base salary for this role is $90,000 - $130,000 at the time of posting, with the potential of an incentive. While this is our reasonable expectation this is not a guarantee of compensation or salary, actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, education, certifications, responsibility, and geographic location. Candidates hired to work in other locations will be subject to the pay range associated with that location. We offer a variety of benefits including medical, dental, vision, disability insurance, 401(k), EAP, parental leave, discretionary time off, and company-paid holidays. The specific programs and options available will vary depending on the state, start date, and employment type. Our Talent Acquisition team will be happy to answer any questions you may have. #LI-KN1 #LI-Hybrid For information about how we handle your personal information please view our Applicant and Candidate Privacy Notice https://nexxen.com/applicant-and-candidate-privacy-notice/", "summaryDescription" : "Analytics Lead at Nexxen. Skills: Data analysis, Client analytics, Measurement solutions. Execute ad hoc analytical requests. Translate business questions", "createdAt" : "2026-06-14T21:05:25.205", "lastUpdated" : "2026-06-16T02:08:20.122", "ingestTimestamp" : "2026-06-14T21:05:25.205", "mongoId" : "6a2cb03d74d8ee00a09d95c9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 90000, "salaryAnnualMax" : 130000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Campaign analysis", "Data visualization", "Complex query development", "Performance optimization", "Relationship databases", "Data analysis", "Client analytics", "Measurement solutions", "Project management", "Organizational skills", "Analytical skills", "AdTech", "Media measurement", "TV viewership data", "Digital advertising", "Nexxen platform" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a309c22f292fd229c0f74ce", "title" : "Digital Analytics Specialist", "company" : "Monks", "industry" : "Consulting", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Senior Digital Analytics Specialist in Melbourne, Australia, within the Marketing industry, based on 2024-2025 market data." }, "location" : "Melbourne", "locations" : [ "Melbourne" ], "timestamp" : "2026-06-16T11:22:12.313", "fingerprint" : "c8f19d1941f59dc3a3b1a32d609f31d6f5559e6ad3aca3149877fae2faa417b6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.monks.com/careers/6037666004/job?gh_jid=6037666004", "externalId" : "6037666004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-37.8142454,144.9631732" } ], "locationText" : "Melbourne, Victoria, Australia", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Looker Studio, Tableau, GCP, BigQuery, AWS, Snowflake", "professionalSkills" : [ "Data strategy", "Measurement projects", "Client relationship", "Consultative discovery", "Technical implementations" ], "hardSkillsList" : [ "Digital audits", "Data reporting" ], "hardSkills" : [ { "name" : "Digital audits", "level" : "intermediate" }, { "name" : "Data reporting", "level" : "intermediate" } ], "majorSkills" : "Digital Analytics, Client facing, Data Strategy", "majorSkillsList" : [ "Digital Analytics", "Client facing", "Data Strategy" ], "coreResponsibilities" : "Manage client relationships, Manage client projects, Assist clients in understanding measurement importance, Provide best practice guidelines, Assist data team, Propel practice forward, Perform digital audits, Record findings, Make recommendations", "teamCollaboration" : "Knowledge growth of Monks team", "domainKnowledge" : "Marketing analytics; E-commerce analytics", "domainList" : [ "marketing-analytics", "e-commerce-analytics" ], "domainSpecificKnowledge" : [ "Marketing analytics", "E-commerce analytics" ], "toolProficiency" : [ "Looker Studio", "Tableau" ], "communicationSkills" : "Client relationship skills", "problemSolvingSkills" : "Consultative discovery; Recommendations", "outcomesObjectives" : "Driving value with expert knowledge", "qualificationsBasic" : "Enterprise-level client facing experience, Analytics consulting experience, Marketing project deployment experience, E-commerce project deployment experience, Data strategy development experience, Complex measurement project experience, Expert knowledge, Client relationship skills, Digital audits experience, Data reporting environments experience", "qualificationsPreferred" : "Familiarity with cloud data, Leveraging cloud data with marketing analytics data experience", "remoteFriendly" : false, "rawDescription" : "Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers). The Role Monks is looking for an experienced Digital Analytics Specialist with enterprise-level client facing experience in analytics consulting and the deployment of marketing and e-commerce projects. This experience should specifically include helping clients to develop data strategies, complex measurement projects, and experience driving value with expert knowledge and client relationship skills. You will be responsible for data acting as a thought leader for your client through consultative discovery and recommendations, and be an active participant in the knowledge growth of the Monks team. Manage the relationship and projects for enterprise clients from a delivery perspective Assist clients in understanding the importance of measurement, and provide best practice guidelines for their general data strategy, as well as specific technical implementations. Assist the data team in propelling our practice forward with new go to market initiatives and solutions. Client Onboarding: Perform digital audits for prospective clients and existing clients, recording findings and making recommendations across digital properties and data reporting environments. Data Management You have experience with BI/Data analysis tools (Looker Studio, Tableau, etc.). Familiarity with cloud data (GCP / BigQuery, AWS, Snowflake, etc.) and how to leverage it in conjunction with marketing analytics data is a big plus in consideration. #LI-LL1 About Monks Monks is the global, digital-first, data-driven, unitary operating brand of S4 Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global Marketing and Technology Services to redefine how brands interact with the world. Through Monks.Flow, its flagship AI ecosystem for marketing orchestration, Monks transforms marketing into a growth engine, collapsing timelines and connecting brands to culture in real time. By deploying bespoke intelligent agents across disciplines and delivering culturally relevant, high-impact creative and digital solutions, Monks solves key critical business challenges across the entire brand enterprise to help brands sustain long-term impact. Monks was named a Contender in The Forrester Wave™: Global Marketing Services, ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger’s Programmatic Power Players list every year (2020-24). Named Adweek’s first AI Agency of the Year (2023) and The One Show’s inaugural AI Pioneer Organization, Monks was also awarded Business Intelligence Group’s 2025 Excellence in Artificial Intelligence Award in both the Organizational and AI Product categories. As a trusted partner to cutting-edge innovators in tech, Monks earned titles such as Optimizely Experimentation Partner of the Year (2025), runner-up for the Adobe Firefly Partner Award (2024), and Workato’s AI Visionary Customer Impact Award (2024). Additionally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner. We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.", "summaryDescription" : "Digital Analytics Specialist at Monks. Skills: Digital Analytics, Client facing, Data Strategy. Manage client relationships. Manage client projects", "postedDate" : "2026-06-16T03:16:44.596", "createdAt" : "2026-06-16T03:16:44.596", "lastUpdated" : "2026-06-16T11:22:12.313", "ingestTimestamp" : "2026-06-16T03:16:44.596", "mongoId" : "6a309c22f292fd229c0f74ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Digital audits", "Data reporting", "Digital Analytics", "Client facing", "Data Strategy", "Data strategy", "Measurement projects", "Client relationship", "Consultative discovery", "Technical implementations", "Marketing analytics", "E-commerce analytics", "Looker Studio", "Tableau" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Marketing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3084daf292fd229c075b71", "title" : "Product Analytics Lead (m/f/d)", "company" : "InPost", "industry" : "Package/Freight Delivery", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Product Analytics Lead in E-Commerce in Warsaw, Poland, adjusted for seniority and company size." }, "location" : "Warszawa, Województwo mazowieckie, Poland", "locations" : [ "Warszawa", "Województwo mazowieckie", "Poland" ], "timestamp" : "2026-06-16T10:37:56.204", "fingerprint" : "d9e8adcafcad87650019c7837cebfc5d7321ebb86bb1a40f0254f59d41c67c9f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/InPost/744000132220075-product-analytics-lead-m-f-d-", "externalId" : "744000132220075", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warszawa", "state" : "Województwo mazowieckie", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Warszawa, Województwo mazowieckie, Poland", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Spark, Databricks, Python, GCP, Azure, AWS, Power BI, Looker, Tableau", "professionalSkills" : [ "Data Product Development", "Data Layer Development", "Data Governance", "Complex Data Analysis", "Innovation", "Continuous Learning", "Mentoring", "Team Development" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "Data modelling", "Data governance", "Statistical methods", "Data processing" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Product Analytics, Data Engineering, Data Governance, Data Analysis", "majorSkillsList" : [ "Product Analytics", "Data Engineering", "Data Governance", "Data Analysis" ], "coreResponsibilities" : "Own the end-to-end delivery of data products, Gather requirements, Perform comprehensive data analysis, Address business problems, Propose solution architecture, Implement objects in the production environment, Coordinate visualisation with the BI team, Monitor quality, Maintain best-in-class documentation, Build and evolve the data layer, Support deep product analytics, Ensure highest quality of object documentation, Ensure business definitions across all data assets, Drive data governance excellence, Document reports, Document objects, Document business, Identify data owners, Identify subject-matter experts, Support data certification, Implement data quality, Continuously improve coverage and accuracy, Conduct comprehensive analyses, Deliver actionable insights, Apply statistical methods, Apply large-scale data processing techniques, Ensure quality through testing, Iterative collaboration with the product team, Iterative collaboration with business stakeholders, Take ownership of assigned tasks, Provide reliable delivery estimates, Maintain proactive communication with business partners, Surface progress and blockers clearly, Ensure on-time delivery of high-quality solutions, Stay current with developments in data processing, Evaluate market tools, Share knowledge through internal training, Share knowledge through experimentation, Provide advisory support in building a team, Manage a team of product, Conduct mentoring sessions, Develop analytical competencies within the team", "teamCollaboration" : "BI team; Product team; Business stakeholders; International markets; Cross-functional environment", "projectManagementSkills" : [ "Agile mindset", "Iterative delivery", "Sprint planning" ], "domainKnowledge" : "Fintech; Payments; E-commerce", "domainList" : [ "fintech", "payments", "e-commerce" ], "domainSpecificKnowledge" : [ "Fintech", "Payments", "E-commerce" ], "toolProficiency" : [ "Spark", "Databricks", "Atlan", "Apache Atlas", "Power BI", "Looker", "Tableau" ], "communicationSkills" : "Translate technical to business language", "documentationSkills" : "Documentation; Business definitions", "continuousLearning" : "Continuous learning; Evaluate market tools; Internal training; Experimentation", "innovationCreativity" : "Innovation; Experimentation; AI tooling", "problemSolvingSkills" : "Address business problems; Solve business problems", "outcomesObjectives" : "Drive product decisions; Power analytics; Move fast with confidence; Build data foundation; Influence strategic decisions", "qualificationsBasic" : "Hands-on experience with SQL, Large-scale data processing (Spark, Databricks, or equivalent), Proficiency in Python for data engineering, Analytical workflows, Experience designing and building data pipelines, Data models, Experience working with cloud-based data platforms (GCP, Azure, or AWS), Communication skills — able to translate between technical and business language, Agile mindset", "qualificationsPreferred" : "Medallion / Lakehouse architecture preferred, Familiarity with data governance frameworks, Data catalogues (e. g. Atlan, Apache Atlas), Data quality tooling, Experience with BI / visualisation tools (e. g. Power BI, Looker, Tableau) is a plus, Background in fintech, payments, or e-commerce is a plus, Experience mentoring junior analysts or engineers is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "InPost has revolutionised e-commerce parcel delivery in Poland and is now one of Europe’s leading OOH e-commerce enablement platforms. Founded in 1999 by Rafał Brzoska, InPost provides delivery services through our network of almost 60,000 Automated Parcel Machines (APMs) and almost 35,000 pick-up drop-off points (PUDO) in nine countries across Europe, as well as to-door courier and fulfilment services to e-commerce merchants. InPost’s lockers provide consumers with a cheaper, more flexible, convenient, environmentally friendly and contactless delivery option. InPost Pay - a fast-growing payment and checkout solution that enables seamless, one-click purchasing across the InPost ecosystem and partner merchants. Data is at the heart of how InPost Pay grows: shaping product decisions, powering analytics, and ensuring we move fast with confidence. We are looking for a Product Analytics Lead to join the InPost Pay and play a central role in building the data foundation that drives product and business decisions. You will own the full lifecycle of data products — from understanding business requirements and designing data architecture, through implementation in our production environment, to documentation and quality monitoring. Main Activities: Data Product Development: Own the end-to-end delivery of data products: gather requirements, perform comprehensive data analysis to address business problems, propose solution architecture, implement objects in the production environment, coordinate visualisation with the BI team, monitor quality, and maintain best-in-class documentation. Data Layer & Architecture Development: Build and evolve the data layer for the InPost Pay business unit to support deep product analytics. Ensure the highest quality of object documentation and business definitions across all data assets. Data Governance: Drive data governance excellence: document reports, objects, and business definitions; identify data owners and subject-matter experts (including across international markets); support data certification initiatives; implement data quality metrics; and continuously improve coverage and accuracy. Complex Data Analysis: Conduct comprehensive analyses to solve business problems and deliver actionable insights. Apply statistical methods and large-scale data processing techniques. Ensure quality through testing and iterative collaboration with the product team and business stakeholders. Agile Ways of Working: Take ownership of assigned tasks, provide reliable delivery estimates, and maintain proactive communication with business partners — surfacing progress and blockers clearly to ensure on-time delivery of high-quality solutions. Innovation & Continuous Learning: Stay current with developments in data processing and data governance; evaluate market tools (including those not yet used at InPost); share knowledge through internal training and experimentation. Mentoring & Team Development: Provide advisory support in building and managing a team of product analysts; conduct mentoring sessions and actively develop analytical competencies within the team. ## Qualifications * Strong hands-on experience with SQL and large-scale data processing (Spark, Databricks, or equivalent) * Proficiency in Python for data engineering and analytical workflows * Experience designing and building data pipelines and data models (Medallion / Lakehouse architecture preferred) * Familiarity with data governance frameworks, data catalogues (e.g. Atlan, Apache Atlas), and data quality tooling * Experience working with cloud-based data platforms (GCP, Azure, or AWS) * Strong communication skills — able to translate between technical and business language * Agile mindset: comfortable with iterative delivery, sprint planning, and stakeholder management * Experience with BI / visualisation tools (e.g. Power BI, Looker, Tableau) is a plus * Background in fintech, payments, or e-commerce is a plus * Experience mentoring junior analysts or engineers is a plus ## Additional Information Why Join InPost? * Work at the intersection of fintech and e-commerce on one of Poland’s fastest-growing digital products * Real ownership — your data products will directly influence strategic decisions in InPost Pay * Opportunity to work in a diverse, international, and cross-functional environment alongside leading experts * Space to experiment with new technologies — including AI tooling — and bring innovations into production * Fulfilling career path with investment in your development, training, and growth * Your impact will be visible immediately — you will make a difference in how millions of users experience InPost Pay * We offer B2B type of cooperation", "summaryDescription" : "Product Analytics Lead (m/f/d) at InPost. Skills: Product Analytics, Data Engineering, Data Governance, Data Analysis. Own the end-to-end delivery of data products. Gather requirements", "postedDate" : "2026-06-15T14:37:13.000", "createdAt" : "2026-06-16T01:34:46.248", "lastUpdated" : "2026-06-16T10:37:56.204", "ingestTimestamp" : "2026-06-16T01:34:46.248", "mongoId" : "6a3084daf292fd229c075b71", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data engineering", "Data modelling", "Data governance", "Statistical methods", "Data processing", "Leadership", "Product Analytics", "Data Engineering", "Data Governance", "Data Analysis", "Data Product Development", "Data Layer Development", "Complex Data Analysis", "Innovation", "Continuous Learning", "Mentoring", "Team Development", "Agile mindset", "Iterative delivery", "Sprint planning", "Fintech", "Payments", "E-commerce", "Spark", "Databricks", "Atlan", "Apache Atlas", "Power BI", "Looker", "Tableau" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a304ef6f292fd229cee3de5", "title" : "Product Analytics Lead (m/f/d)", "company" : "InPost", "industry" : "Package/Freight Delivery", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Product Analytics Lead in E-Commerce in Warsaw, Poland, adjusted for seniority and company size." }, "location" : "Warszawa, Województwo mazowieckie, Poland", "locations" : [ "Warszawa", "Województwo mazowieckie", "Poland" ], "timestamp" : "2026-06-16T05:12:04.749", "fingerprint" : "0f6771062632f5096b2468301acffa08a947cc2d648316aa6b3273330add621b", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/InPost/744000132220075-product-analytics-lead-m-f-d-", "externalId" : "744000132220075", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warszawa", "state" : "Województwo mazowieckie", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Warszawa, Województwo mazowieckie, Poland", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Spark, Databricks, Python, Medallion architecture, Lakehouse architecture, GCP, Azure, AWS, Power BI, Looker, Tableau", "professionalSkills" : [ "Data Product Development", "Data Layer Development", "Architecture Development", "Data Governance", "Complex Data Analysis", "Innovation", "Continuous Learning", "Mentoring", "Team Development" ], "hardSkillsList" : [ "Data analysis", "Data processing", "Data pipelines", "Data models", "Data governance", "Data quality", "Statistical methods" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Data models", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Product Analytics, Data Engineering, Data Governance, Data Analysis", "majorSkillsList" : [ "Product Analytics", "Data Engineering", "Data Governance", "Data Analysis" ], "coreResponsibilities" : "Own end-to-end delivery of data products, Gather requirements, Perform data analysis, Address business problems, Propose solution architecture, Implement objects in production, Coordinate visualisation with BI team, Monitor quality, Maintain documentation, Build data layer for InPost Pay, Evolve data layer, Support product analytics, Ensure object documentation quality, Ensure business definitions quality, Drive data governance excellence, Document reports, Document objects, Document business definitions, Identify data owners, Identify subject-matter experts, Support data certification, Implement data quality, Improve coverage and accuracy, Conduct complex analyses, Deliver actionable insights, Apply statistical methods, Apply large-scale data processing, Ensure quality through testing, Iterative collaboration with product team, Iterative collaboration with business stakeholders, Take ownership of assigned tasks, Provide reliable delivery estimates, Maintain proactive communication with business partners, Surface progress and blockers, Ensure on-time delivery, Ensure high-quality solutions, Stay current with data processing developments, Evaluate market tools, Share knowledge through training, Share knowledge through experimentation, Provide advisory support, Build and manage a team, Conduct mentoring sessions, Develop analytical competencies within team", "teamCollaboration" : "BI team; Product team; Business stakeholders; International markets; Cross-functional environment", "projectManagementSkills" : [ "Agile mindset", "Iterative delivery", "Sprint planning", "Stakeholder management" ], "domainKnowledge" : "fintech; payments; e-commerce", "domainList" : [ "fintech", "payments", "e-commerce" ], "domainSpecificKnowledge" : [ "fintech", "payments", "e-commerce" ], "toolProficiency" : [ "Atlan", "Apache Atlas" ], "communicationSkills" : "Translate between technical and business language", "documentationSkills" : "Documentation; Object documentation; Business definitions; Reports documentation", "continuousLearning" : "Continuous Learning; Evaluate market tools; Share knowledge; Experimentation; Investment in development; Training; Growth", "innovationCreativity" : "Innovation; Experiment with new technologies; AI tooling; Bring innovations into production", "problemSolvingSkills" : "Address business problems; Complex Data Analysis", "outcomesObjectives" : "Data products will directly influence strategic decisions; Impact will be visible immediately; Make a difference in how millions of users experience", "qualificationsBasic" : "Hands-on experience with SQL, Large-scale data processing, Proficiency in Python, Data engineering workflows, Analytical workflows, Experience designing data pipelines, Building data pipelines, Data models, Experience working with cloud-based data platforms, Communication skills, Translate between technical and business language, Agile mindset", "qualificationsPreferred" : "Medallion architecture preferred, Lakehouse architecture preferred, Data governance frameworks, Data catalogues, Data quality tooling, GCP, Azure, AWS, Iterative delivery, Sprint planning, Stakeholder management, Experience with BI / visualisation tools, Power BI, Looker, Tableau, Background in fintech, Payments, E-commerce, Experience mentoring junior analysts, Engineers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "InPost has revolutionised e-commerce parcel delivery in Poland and is now one of Europe’s leading OOH e-commerce enablement platforms. Founded in 1999 by Rafał Brzoska, InPost provides delivery services through our network of almost 60,000 Automated Parcel Machines (APMs) and almost 35,000 pick-up drop-off points (PUDO) in nine countries across Europe, as well as to-door courier and fulfilment services to e-commerce merchants. InPost’s lockers provide consumers with a cheaper, more flexible, convenient, environmentally friendly and contactless delivery option. InPost Pay - a fast-growing payment and checkout solution that enables seamless, one-click purchasing across the InPost ecosystem and partner merchants. Data is at the heart of how InPost Pay grows: shaping product decisions, powering analytics, and ensuring we move fast with confidence. We are looking for a Product Analytics Lead to join the InPost Pay and play a central role in building the data foundation that drives product and business decisions. You will own the full lifecycle of data products — from understanding business requirements and designing data architecture, through implementation in our production environment, to documentation and quality monitoring. Main Activities: Data Product Development: Own the end-to-end delivery of data products: gather requirements, perform comprehensive data analysis to address business problems, propose solution architecture, implement objects in the production environment, coordinate visualisation with the BI team, monitor quality, and maintain best-in-class documentation. Data Layer & Architecture Development: Build and evolve the data layer for the InPost Pay business unit to support deep product analytics. Ensure the highest quality of object documentation and business definitions across all data assets. Data Governance: Drive data governance excellence: document reports, objects, and business definitions; identify data owners and subject-matter experts (including across international markets); support data certification initiatives; implement data quality metrics; and continuously improve coverage and accuracy. Complex Data Analysis: Conduct comprehensive analyses to solve business problems and deliver actionable insights. Apply statistical methods and large-scale data processing techniques. Ensure quality through testing and iterative collaboration with the product team and business stakeholders. Agile Ways of Working: Take ownership of assigned tasks, provide reliable delivery estimates, and maintain proactive communication with business partners — surfacing progress and blockers clearly to ensure on-time delivery of high-quality solutions. Innovation & Continuous Learning: Stay current with developments in data processing and data governance; evaluate market tools (including those not yet used at InPost); share knowledge through internal training and experimentation. Mentoring & Team Development: Provide advisory support in building and managing a team of product analysts; conduct mentoring sessions and actively develop analytical competencies within the team. ## Qualifications * Strong hands-on experience with SQL and large-scale data processing (Spark, Databricks, or equivalent) * Proficiency in Python for data engineering and analytical workflows * Experience designing and building data pipelines and data models (Medallion / Lakehouse architecture preferred) * Familiarity with data governance frameworks, data catalogues (e.g. Atlan, Apache Atlas), and data quality tooling * Experience working with cloud-based data platforms (GCP, Azure, or AWS) * Strong communication skills — able to translate between technical and business language * Agile mindset: comfortable with iterative delivery, sprint planning, and stakeholder management * Experience with BI / visualisation tools (e.g. Power BI, Looker, Tableau) is a plus * Background in fintech, payments, or e-commerce is a plus * Experience mentoring junior analysts or engineers is a plus ## Additional Information Why Join InPost? * Work at the intersection of fintech and e-commerce on one of Poland’s fastest-growing digital products * Real ownership — your data products will directly influence strategic decisions in InPost Pay * Opportunity to work in a diverse, international, and cross-functional environment alongside leading experts * Space to experiment with new technologies — including AI tooling — and bring innovations into production * Fulfilling career path with investment in your development, training, and growth * Your impact will be visible immediately — you will make a difference in how millions of users experience InPost Pay * We offer B2B type of cooperation", "summaryDescription" : "Product Analytics Lead (m/f/d) at InPost. Skills: Product Analytics, Data Engineering, Data Governance, Data Analysis. Own end-to-end delivery of data products. Gather requirements", "postedDate" : "2026-06-15T14:37:13.000", "createdAt" : "2026-06-15T21:32:02.898", "lastUpdated" : "2026-06-16T05:12:04.749", "ingestTimestamp" : "2026-06-15T21:32:02.898", "mongoId" : "6a304ef6f292fd229cee3de5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data processing", "Data pipelines", "Data models", "Data governance", "Data quality", "Statistical methods", "Leadership", "Product Analytics", "Data Engineering", "Data Governance", "Data Analysis", "Data Product Development", "Data Layer Development", "Architecture Development", "Complex Data Analysis", "Innovation", "Continuous Learning", "Mentoring", "Team Development", "Agile mindset", "Iterative delivery", "Sprint planning", "Stakeholder management", "fintech", "payments", "e-commerce", "Atlan", "Apache Atlas" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c92fc74d8ee00a0987050", "title" : "Head of Product Analytics", "company" : "Tide", "industry" : "FinTech", "salary" : { "min" : 100000.0, "max" : 150000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Product Analytics in Sofia, Bulgaria, adjusted for the FinTech industry and company size." }, "location" : "Sofia", "locations" : [ "Sofia" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T04:51:58.071", "fingerprint" : "ab50c2109ebe3b35da4f9761bf9d181c0c8e68cfae9ca79ac1d4aca084c319bc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tide/jobs/7723083003", "externalId" : "7723083003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sofia", "country" : "Bulgaria", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "42.6977028,23.3217359" } ], "locationText" : "Sofia, Bulgaria", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio, LaunchDarkly, Segment, Heap", "professionalSkills" : [ "Product strategy", "User research", "Data deep dives", "Impact hypotheses", "KPI definition", "Custom analysis", "Experiment design", "Product growth" ], "hardSkillsList" : [ "Statistical methods", "A/B testing", "Causal inference", "Regression analysis", "Classification analysis", "Clustering analysis", "Time-series analysis" ], "softSkillsList" : [ "Independence" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification analysis", "level" : "intermediate" }, { "name" : "Clustering analysis", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Independence" } ], "majorSkills" : "Product Analytics, Experimentation, Data analysis, Product strategy", "majorSkillsList" : [ "Product Analytics", "Experimentation", "Data analysis", "Product strategy" ], "coreResponsibilities" : "Use data to drive adoption, Inform user understanding, Inform product strategy, Identify user problems, Quantify problem size, Propose product experiments, Design product experiments, Analyse product experiments, Define measurable KPIs, Perform data deep dives, Translate goals to KPIs, Enable KPI reporting, Validate correlations, Prioritise investment, Design experiments for adoption, Analyse experiment results, Build stats-engine for KPIs, Enable self-serve analytics", "teamCollaboration" : "Product teams; Product squad; Analytics engineers; Data teams; Engineering teams; Data product teams; Data science teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "SME banking; Product adoption; User engagement; Member longevity; LTV correlations; Event data analytics", "domainList" : [ "sme-banking", "product-adoption", "user-engagement", "member-longevity", "ltv-correlations", "event-data-analytics" ], "domainSpecificKnowledge" : [ "SME banking", "Product adoption", "User engagement", "Member longevity", "LTV correlations", "Event data analytics" ], "toolProficiency" : [ "LaunchDarkly", "Segment", "Heap" ], "communicationSkills" : "Executive presentations; Technical documentation", "documentationSkills" : "Architecture diagrams", "continuousLearning" : "Mentorship programme", "innovationCreativity" : "R&D projects; Hackathons; Prototype development; Design thinking", "problemSolvingSkills" : "Root cause analysis; Debugging; Data-driven decision making; Troubleshooting", "outcomesObjectives" : "Improve product adoption; Improve user engagement; Increase member longevity; Quantify indirect impact", "qualificationsBasic" : "10+ years of experience, Product Analytics experience, SQL proficiency, Product experimentation expert", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "workSiteFlexibility" : "Flexible", "rawDescription" : "ABOUT TIDE At Tide, we help SMEs save time and money in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions, from invoicing to accounting. Tide is transforming the small business banking market and now supports over 2 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data driven decisions to serve our mission: to help SMEs save time and money so they can get back to doing what they love. Tide facts: Tide is available for UK, Indian, German and French SMEs Over 2 million members: 900,000 UK and 1,100,000 in India and growing rapidly Over $300 million raised in funding Over 2,800 Tideans globally Recognised with Great Place to Work certification three years in a row, and among India’s Top 50 Best Workplaces in Banking, Financial Services, and Insurance in 2026 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram, New Delhi, Berlin, Paris and Luxembourg ABOUT THE ROLE: As a Head of Product Analytics you’ll work closely with Tide’s product teams to use data to drive product adoption. You’ll work within the product analytics team to use data to inform our collective understanding of users, their problems and thus inform product strategy. This role will suit an individual that can operate with a high degree of independence and has hands-on experience of proactively working with the product community. You are an expert and constructive critique of digital products with strong views on data-driven techniques to improve adoption and engagement of various products & features. You will be working as a part of the product squad with a functional reporting into the Head of Product. Some of the things you’ll be doing: Product Discovery - hypothesis driven deep dives (existing product usage data) to identify user problems, quantify size of the problem and highlight solution(s). Solution confidence - product experiments are a means to an end. They help us produce data to build confidence on the product & features we plan to invest in. You would be the product experimentation expert and would observe data, propose, design and analyse product experiments. Product and feature performance review - new features solve user user problems and drive product usage and thus adoption. You would work with product teams to identify & analyse various impact hypotheses behind new products and features and define measurable KPIs. User research - solving user problems helps us achieve commercial goals. You would identify opportunities, perform data deep dives (exploratory and hypothesis driven) to improve our collective understanding of user problems and assist working groups to focus on and prioritise high impact user problems. Goals to KPI translations - you would work with product managers to break overall revenue goals into business KPIs, identify impact hypotheses and convert into measurable product KPIs. You would work with analytics engineers to enable KPI reporting through visually speaking dashboards. Engagement to LTV correlations - engagement driven products and features have an indirect, unestablished impact on member longevity (commercially speaking LTV). We use data to establish this correlation and quantify the indirect impact. You would be required to perform custom analysis, using statistical methods to validate these correlations and assist product teams to prioritise investment on scaling product and features that have an indirect impact on engagement, longevity and thus LTV. Experimentation & product growth - you will operate with a high degree of user behaviour awareness (backed by consistent event data observation) and assist product managers by designing experiments to drive product adoption. You would use custom data analysis and statistical methods to analyse experiment results. Self Serve Product Analytics - partner with data, engineering, data product and data science teams to deliver a world-class self-serve event data analytics platform for app and web products. Our experimentation stack includes platforms like LaunchDarkly for shipping variants, Segment for events, Heap for visualisation. You would be required to partner with data-science teams to build a stats-engine for relevant KPIs for each product enabling a seamless self-serve analytics for business and product teams. You’ll be a great fit if: 10+ years of experience working on Product Analytics for a digital product. Strong hold on product strategy, experimentation, roadmapping, & prioritisation You are a consumer tech geek, preferably fintech (not mandatory). You are a natural storyteller with exceptional presentation skills. You believe and invest time in project management and have exceptional people skills. You understand and believe user experience is a product. You are humble enough to know that you need to learn, and confident enough to showcase your skills, speak your mind and even challenge the status quo. You have an intrinsic need to be excellent but have learnt to be action oriented. You have failed and can talk about it at length. You have worked as an analyst and a product manager. You have excellent SQL proficiency and are willing to crunch complex numbers. You are a self starter and can operate with a high degree of independence. You have the ability to deal with ambiguity and competing objectives in a fast paced environment. You have lead a team of analysts in Product Companies WHAT YOU’LL GET IN RETURN: Remote first 25 days paid annual leave 3 additional days for volunteering and learning Private Health Insurance Mental Health Support Platform FitPass Family and Friendly Leave (according to statutory) Personal L&D budget Share options TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard. Disclaimer It has come to our attention that individuals or agencies are falsely claiming to represent Tide and are reaching out to candidates regarding job opportunities. Please be aware that: Tide does not charge any fees at any stage of the recruitment process. All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel. Communication from Tide will only come from an official @tide.co email address. Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf. If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process. Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy. Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.", "summaryDescription" : "Head of Product Analytics at Tide. Skills: Product Analytics, Experimentation, Data analysis, Product strategy. Use data to drive adoption. Inform user understanding", "postedDate" : "2026-06-14T04:16:44.354", "createdAt" : "2026-06-14T04:16:44.354", "lastUpdated" : "2026-06-15T04:51:58.071", "ingestTimestamp" : "2026-06-14T04:16:44.354", "mongoId" : "6a2c92fc74d8ee00a0987050", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Statistical methods", "A/B testing", "Causal inference", "Regression analysis", "Classification analysis", "Clustering analysis", "Time-series analysis", "Independence", "Product Analytics", "Experimentation", "Data analysis", "Product strategy", "User research", "Data deep dives", "Impact hypotheses", "KPI definition", "Custom analysis", "Experiment design", "Product growth", "Roadmap planning", "SME banking", "Product adoption", "User engagement", "Member longevity", "LTV correlations", "Event data analytics", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "LaunchDarkly", "Segment", "Heap" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a210ea774d8ee00a0af8b16", "title" : "Senior Data Engineer, Product Analytics, Payments", "industry" : "FinTech", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Engineer in Singapore, adjusted for the FinTech industry and seniority level." }, "location" : "[Singapore, [Singapore], null, null, null, SG]", "locations" : [ "[Singapore, [Singapore], null, null, null, SG]" ], "timestamp" : "2026-06-16T11:46:42.590", "fingerprint" : "11baa91f5b7e2d72cb2b0df48f204f36aaf5d64eeded7fa46372dbff53cc48f6", "source" : "google", "language" : "en", "externalId" : "79009685755044550", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, Spark, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, AWS, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "Product analytics", "Data modelling" ], "hardSkillsList" : [ "Data warehousing", "ETL development", "Data pipelines", "Machine learning", "Statistical analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL development", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Product analytics, Machine learning", "majorSkillsList" : [ "Data engineering", "Product analytics", "Machine learning" ], "coreResponsibilities" : "Design data pipelines, Build data models, Develop ETL processes, Implement data quality checks, Collaborate with product managers, Support data scientists, Optimize data warehouse performance, Ensure data accuracy", "teamCollaboration" : "Cross-functional teams; Product managers; Data scientists", "domainKnowledge" : "Payments domain", "domainList" : [ "payments-domain" ], "domainSpecificKnowledge" : [ "Payments domain" ], "toolProficiency" : [ "Dbt Cloud" ], "qualificationsBasic" : "5+ years Python, SQL proficiency", "qualificationsPreferred" : "GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : false, "summaryDescription" : "Senior Data Engineer, Product Analytics, Payments. Skills: Data engineering, Product analytics, Machine learning. Design data pipelines. Build data models", "postedDate" : "2026-06-16T01:50:32.203", "createdAt" : "2026-06-16T01:50:32.203", "lastUpdated" : "2026-06-16T11:46:42.590", "ingestTimestamp" : "2026-06-16T01:50:32.203", "mongoId" : "6a210ea774d8ee00a0af8b16", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data warehousing", "ETL development", "Data pipelines", "Machine learning", "Statistical analysis", "A/B testing", "Causal inference", "Data engineering", "Product analytics", "Data modelling", "Payments domain", "Dbt Cloud" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3051e4f292fd229cf08733", "title" : "Analytics Engineer II", "company" : "IVX Health", "industry" : "Healthcare", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Analytics Engineer II in Brentwood, United States, adjusted for mid-seniority and full-time employment in the healthcare industry." }, "location" : "Brentwood, Tennessee, United States", "locations" : [ "Brentwood", "Tennessee", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T05:47:04.386", "fingerprint" : "a1628a38e8414f926ebc4bdec3af02075abed7d76e903440bb105b41039cb5eb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ivxhealth/jobs/4284144009", "externalId" : "4284144009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brentwood", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "36.0325687,-86.7825235" } ], "locationText" : "Brentwood, Tennessee, United States", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data warehousing", "ETL development", "Data pipeline development", "Database management", "Statistical modeling", "Machine learning implementation", "Data visualization", "Cloud computing" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL development", "level" : "intermediate" }, { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning implementation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Analytics engineering, Machine learning", "majorSkillsList" : [ "Data engineering", "Analytics engineering", "Machine learning" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and optimize data models, Implement machine learning models, Create and maintain BI dashboards, Perform data analysis, Ensure data quality and integrity, Collaborate with stakeholders, Document data processes", "teamCollaboration" : "Cross-functional teams; Data science teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "Healthcare data", "domainList" : [ "healthcare-data" ], "domainSpecificKnowledge" : [ "Healthcare data" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Data analysis; Troubleshooting", "qualificationsBasic" : "3-5 years of experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "IVX Health is growing fast and on a mission to redefine the patient experience through high-quality care in a comfortable setting. As we grow rapidly, we’re seeking a talented Analytics Engineer II to join our collaborative team in the Brentwood/Nashville area. This hybrid role offers the best of both worlds: the energy of in-office collaboration at our vibrant headquarters paired with the flexibility of remote work. The ideal candidate will be a problem-solver with a strong background in data engineering and analytics, capable of designing scalable data models, building insightful dashboards, and delivering impactful business solutions in a fast-paced environment. About the Role As an Analytics Engineer II, you will play a key role on our Finance or comparable technical certification/training 3-5 years of experience in data engineering, specifically with the design, development, implementation, management, and support of data structures and the data flow lifecycle (including data maintenance, ETL and data governance considerations) Experience with healthcare analytics and concepts is preferred Tableau experience is strongly preferred Cloud data warehousing/administration is a plus About IVX Health IVX Health is a national provider of infusion and injection therapy for individuals managing chronic conditions like Rheumatoid Arthritis, Crohn's Disease, and Multiple Sclerosis. We’re transforming the way care is delivered with a focus on patient comfort and convenience. Our commitment to exceptional care extends to our employees as well—we empower our team to thrive while living our core values: Be Kind, Do What’s Right, Never Settle, Make It Happen, and Enjoy the Ride. Our Mission: To improve the lives of those we care for by redefining the care experience Our Vision: To be the nation’s preferred destination for pharmaceutical care of complex chronic conditions Our Commitment: To deliver an unmatched care experience with a foundation in world class service and clinical excellence Benefits We Offer Comprehensive Healthcare – Medical, dental, and vision coverage, including prescription drug plans and telemedicine services. Flexible Savings Options – Choose from Health Savings Accounts (HSA) and Health Reimbursement Arrangements (HRA) to manage healthcare costs. Supplemental Protection – Accident, critical illness, and hospital indemnity plans to provide additional financial security. Dependent Care FSA – Pre-tax savings for eligible childcare and dependent care expenses. 401(k) Retirement Plan – Secure your future with a competitive company match. Disability Coverage – Voluntary short-term and long-term disability plans to protect your income. Fertility and Family Support – Resources and benefits designed to support fertility care and family planning. Life and AD&D Insurance – Financial protection for you and your loved ones. Counseling and Wellness Support – Free resources to support emotional, physical, and financial well-being. Education Assistance – Tuition reimbursement and certification support to help you grow in your career. Continuing Education – Access to a CEU library for ongoing professional development. Charitable Giving and Volunteer Program – Matched donations and paid volunteer time off to support causes you care about. Employee Referral Bonus – Earn rewards for helping us find top talent. Note: Benefits may vary by employment type. Contact HR for details on eligibility and coverage. EEO STATEMENT IVX Health is proud to be an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive environment for all employees. IVX Health wants to have the best available people in every job, and we make employment decisions on the basis of business needs, job requirements, individual qualifications, and merit. Equal employment opportunities are provided to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, military and veteran status, age, physical or mental disability, genetic characteristic, reproductive health decisions, family or parental status, or any other legally protected category in accordance with applicable federal, state, or local laws. IVX Health prohibits discrimination, harassment, or retaliation of any kind based on any of these characteristics. Equal employment opportunity will be extended to all persons in all aspects of the employer-employee relationship and all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation benefits, and separation of employment. Privacy Policy", "summaryDescription" : "Analytics Engineer II at IVX Health. Skills: Data engineering, Analytics engineering, Machine learning. Develop and maintain data pipelines. Build and optimize data models", "postedDate" : "2026-06-15T23:20:36.916", "createdAt" : "2026-06-15T23:20:36.916", "lastUpdated" : "2026-06-16T05:47:04.386", "ingestTimestamp" : "2026-06-15T23:20:36.916", "mongoId" : "6a3051e4f292fd229cf08733", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data warehousing", "ETL development", "Data pipeline development", "Database management", "Statistical modeling", "Machine learning implementation", "Data visualization", "Cloud computing", "Data engineering", "Analytics engineering", "Machine learning", "Data modeling", "Statistical analysis", "Business intelligence", "Quantitative analysis", "Healthcare data", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8d6f74d8ee00a0978f92", "title" : "Senior Decision Scientist, Product Analytics", "company" : "Ibotta", "industry" : "Shared Services Job Group", "salary" : { "min" : 97000.0, "max" : 118000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hybrid - Denver", "locations" : [ "Hybrid - Denver" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T21:37:27.909", "fingerprint" : "6a1489b1dc12ed5276396969699744db2a4c902954b13a8d2e53d1a8285c62b6", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/ibotta/be2bc6b2-85d6-407a-9d0f-2fd755645f28/application", "externalId" : "be2bc6b2-85d6-407a-9d0f-2fd755645f28", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Spark, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Experiment design", "Causal inference" ], "hardSkillsList" : [ "Data warehousing", "ETL processes", "Statistical modeling", "Machine learning modeling", "Experimentation" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Product Analytics, Data Engineering", "majorSkillsList" : [ "Data Science", "Machine Learning", "Product Analytics", "Data Engineering" ], "coreResponsibilities" : "Develop and implement machine learning models, Design and execute A/B tests, Analyze product performance, Build and maintain data pipelines, Collaborate with product managers, Communicate findings to stakeholders, Develop dashboards and reports, Mentor junior data scientists", "teamCollaboration" : "Product managers; Engineering teams; Marketing teams; Business stakeholders", "domainKnowledge" : "E-commerce analytics; Customer behavior analysis; Product development lifecycle", "domainList" : [ "e-commerce-analytics", "customer-behavior-analysis", "product-development-lifecycle" ], "domainSpecificKnowledge" : [ "E-commerce analytics", "Customer behavior analysis", "Product development lifecycle" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "SageMaker", "Vertex AI", "ML Studio" ], "communicationSkills" : "Stakeholder communication; Technical presentations", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Analytical problem solving", "qualificationsBasic" : "5+ years of experience, Bachelor's degree, SQL proficiency, Experience with Python or R, Experience with data warehousing", "qualificationsPreferred" : "Master's degree or PhD, Experience with cloud platforms, Experience with ML frameworks, Experience with A/B testing, Experience with causal inference", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Ibotta is seeking a Senior Decision Scientist to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. With over 50 people, Ibotta’s Analytics team uses the latest developments not only in our core technical capabilities such as statistics, machine learning, testing methodologies, and data engineering, but also in the broader aspects of an analytics organization such as minimizing technical debt, increasing organizational data literacy, and developing analytics leadership, making Ibotta a place where individuals at all levels can learn and grow their careers. As a Senior Decision Scientist, you will be responsible for providing actionable and data-driven recommendations to internal and external stakeholders. You’ll have the opportunity to work alongside talented individuals and understand the business in-depth, support and challenge strategic options, and build state-of-the-art tools to improve our largest line of business. This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States. Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one. What you will be doing: - Leading projects to build causal inference models (A/B testing), automation of existing reports and deliverables, machine learning models, root cause analysis of upstream data issues, and market analysis case studies - Working cross-functionally to analyze large amounts of behavioral and transaction data to provide clients with actionable insights about Ibotta’s users and campaign performance - Communicating complex analyses and data intricacies in a clear, concise manner both internally as well as to external clients - Serving as a leader for the ideation, development, and support on strategic initiatives including statistical modeling and advanced analytics within the team - Mentoring other members of the team - Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come from anywhere What we are looking for: - 5+ years of practical work experience in Analytics - Bachelor’s degree in Computer Science, Engineering or a related field - Moderate to advanced knowledge of common data science software development packages (Python, R, etc.) and their relevant libraries, along with strong SQL and proven data wrangling and feature engineering skills - Ability to drive projects end-to-end with minimal guidance/oversight, with examples of high-quality output that provide actionable, business-focused insights and recommendations - Initiative to proactively anticipate and solve important problems - Ability to communicate complex analytical concepts clearly and concisely both in written form and verbally to both technical and non-technical audiences, with a track record of strong partnerships with key stakeholders and clients across multiple functions - 5+ years of practical work experience in Analytics About Ibotta (\"I bought a...\") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on https://medium.com/building-ibottaMedium.com http://Medium.com. - This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks and occasional meals. - Base compensation range: $97,000 - $118,000. Total compensation for this role also includes a variable component in addition to base salary. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. - Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. - Applicants must be currently authorized to work in the United States on a full-time basis. - Applicants are accepted until the position is filled. - For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. Recruiting Agency Notice Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees. #LI-Hybrid #BI-Hybrid", "summaryDescription" : "Senior Decision Scientist, Product Analytics at Ibotta. Skills: Data Science, Machine Learning, Product Analytics, Data Engineering. Develop and implement machine learning models. Design and execute A/B tests", "createdAt" : "2026-06-14T18:13:53.229", "lastUpdated" : "2026-06-15T21:37:27.909", "ingestTimestamp" : "2026-06-14T18:13:53.229", "mongoId" : "6a2c8d6f74d8ee00a0978f92", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 97000, "salaryAnnualMax" : 118000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data warehousing", "ETL processes", "Statistical modeling", "Machine learning modeling", "Experimentation", "Data Science", "Machine Learning", "Product Analytics", "Data Engineering", "Data modeling", "Statistical analysis", "Machine learning", "Experiment design", "Causal inference", "E-commerce analytics", "Customer behavior analysis", "Product development lifecycle", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "SageMaker", "Vertex AI", "ML Studio" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c694d74d8ee00a0906d9e", "title" : "Paid Analytics Manager", "company" : "Kueski", "industry" : "Marketing", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Paid Analytics Manager in Mexico's FinTech industry, adjusted for remote work and company size." }, "location" : "Mexico (remote)", "locations" : [ "Mexico (remote)" ], "timestamp" : "2026-06-15T09:16:37.277", "fingerprint" : "05b06f06bb78818f9c4ffc717217f622af7e68e9b515cfbc7047a20cd78ee25b", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/kueski/59fa6576-a336-4531-84ca-5fbd472a126d/application", "externalId" : "59fa6576-a336-4531-84ca-5fbd472a126d", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Mexico", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Mexico", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, GA4, Amplitude, Databricks, Google Tag Manager", "professionalSkills" : [ "Attribution strategy", "Measurement", "Data analysis", "Campaign optimization", "Budget allocation", "Channel mix decisions", "Strategic recommendations", "Data modeling", "Data infrastructure", "Data accuracy", "Data integrity", "Data discrepancies", "Data pipeline reliability", "Event schemas", "Tracking coverage", "Marketing measurement", "Growth metrics", "Brand strategy", "Customer acquisition", "Campaign management" ], "hardSkillsList" : [ "Attribution modeling", "Incrementality measurement", "Geo holdouts", "Intent-to-treat analyses", "Synthetic controls", "Server-to-server integrations", "A/B testing", "Multivariate experiments", "Statistical analysis", "Propensity models", "Machine learning" ], "hardSkills" : [ { "name" : "Attribution modeling", "level" : "intermediate" }, { "name" : "Incrementality measurement", "level" : "intermediate" }, { "name" : "Geo holdouts", "level" : "intermediate" }, { "name" : "Intent-to-treat analyses", "level" : "intermediate" }, { "name" : "Synthetic controls", "level" : "intermediate" }, { "name" : "Server-to-server integrations", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Multivariate experiments", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Propensity models", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" } ], "majorSkills" : "Attribution modeling, Marketing analytics, Growth analytics, Data analysis", "majorSkillsList" : [ "Attribution modeling", "Marketing analytics", "Growth analytics", "Data analysis" ], "coreResponsibilities" : "Design attribution models, Implement attribution models, Refine attribution models, Develop framework for second-order effects, Define incrementality measurement approaches, Own attribution methodology decisions, Communicate trade-offs, Lead tracking infrastructure implementation, Lead tracking infrastructure maintenance, Design server-to-server integrations, Implement server-to-server integrations, Audit data discrepancies, Troubleshoot data discrepancies, Manage marketing analytics stack, Evolve marketing analytics stack, Partner with Data Engineering, Partner with Product, Pull data independently, Structure data independently, Analyze data independently, Build analyses, Develop dashboards, Maintain dashboards, Develop reports, Maintain reports, Identify patterns, Identify anomalies, Bring forward recommendations, Correlate marketing activities with business outcomes, Provide strategic inputs, Collaborate with Performance marketing teams, Collaborate with Lifecycle marketing teams, Translate attribution insights, Conduct A/B experiments, Conduct multivariate experiments, Validate attribution assumptions, Improve measurement accuracy, Help forecast marketing budgets, Provide framework for spend allocation, Act as internal expert, Educate teams on best practices, Build shared understanding", "teamCollaboration" : "Marketing teams; Sales teams; Analytics teams; Data Engineering; Product teams; Performance marketing; Lifecycle marketing; Finance teams", "domainKnowledge" : "Buy now, pay later; Online consumer credit; FinTech; Paid social; SEM; Programmatic; Affiliate; CRM; Marketing attribution; Customer journey; Brand awareness; Funnel priming; Downstream conversion; Marketing investments; Last-touch models; Multi-touch models; Tracking systems; Measurement technologies; Privacy-driven changes; Data pipeline; Campaign optimization inputs; Paid media platforms; Web analytics; Behavioral analytics; Digital marketing channels; Measurement challenges; Statistical analysis; Marketing measurement; MMM; Propensity models", "domainList" : [ "buy-now", "pay-later", "online-consumer-credit", "fintech", "paid-social", "sem", "programmatic", "affiliate", "crm", "marketing-attribution", "customer-journey", "brand-awareness", "funnel-priming", "downstream-conversion", "marketing-investments", "last-touch-models", "multi-touch-models", "tracking-systems", "measurement-technologies", "privacy-driven-changes", "data-pipeline", "campaign-optimization-inputs", "paid-media-platforms", "web-analytics", "behavioral-analytics", "digital-marketing-channels", "measurement-challenges", "statistical-analysis", "marketing-measurement", "mmm", "propensity-models" ], "domainSpecificKnowledge" : [ "Buy now, pay later", "Online consumer credit", "FinTech", "Paid social", "SEM", "Programmatic", "Affiliate", "CRM", "Marketing attribution", "Customer journey", "Brand awareness", "Funnel priming", "Downstream conversion", "Marketing investments", "Last-touch models", "Multi-touch models", "Tracking systems", "Measurement technologies", "Privacy-driven changes", "Data pipeline", "Campaign optimization inputs", "Paid media platforms", "Web analytics", "Behavioral analytics", "Digital marketing channels", "Measurement challenges", "Statistical analysis", "Marketing measurement", "MMM", "Propensity models" ], "toolProficiency" : [ "Google Tag Manager", "GA4", "Amplitude", "Databricks", "Data Studio", "Tableau" ], "communicationSkills" : "Translate complex findings; Strategic recommendations; Non-technical stakeholders; Senior leadership", "problemSolvingSkills" : "Troubleshoot data discrepancies; Identify anomalies; Root cause analysis", "outcomesObjectives" : "Optimize investment decisions; Accelerate sustainable growth; Improve signal quality; Reduce data loss; Ensure data accuracy; Ensure data integrity; Improve event schemas; Improve tracking coverage; Improve data pipeline reliability; Push initiatives forward; Improve campaign optimization; Improve measurement accuracy; Allocate spend for maximum ROI", "qualificationsBasic" : "5+ years experience in marketing analytics, 5+ years experience in growth analytics, 5+ years experience in related field, Track record of operating autonomously, Deep technical expertise in tracking implementation, Command of attribution modeling, Developed analytical sensibility for second-order effects, Proficiency in SQL, Experience with web analytics platforms, Experience with behavioral analytics tools, Solid understanding of digital marketing channels, Experience with A/B testing, Experience with statistical analysis, Clear, concise communicator, Detail-oriented and proactive, High standard for data accuracy, Bias toward action", "qualificationsPreferred" : "Experience with Databricks, Experience with Data Studio, Experience with Tableau, Experience with machine learning applied to marketing, Experience with MMM, Experience with propensity models, Mentorship of junior analysts", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT KUESKI At Kueski, we're dedicated to improving the financial lives of people in Mexico. Since 2012, we've been the leading buy now, pay later (BNPL) and online consumer credit platform in Latin America, known for our innovative financial services. Our flagship product, Kueski Pay, provides seamless payment solutions for both online and in-store transactions, establishing itself as the preferred option for nearly 30% of Mexico's top e-commerce merchants. Notably, we were the first to introduce BNPL on Amazon Mexico. We're a tech company with a culture geared toward innovation, collaboration, and impact, fostering a strong, diverse, and inclusive workplace. Our commitment to excellence and ethical business practices has earned us multiple industry recognitions. In 2024, we were named one of the World’s Top FinTech Companies by CNBC and recognized as one of the most ethical companies in Mexico by AMITAI. Additionally, we were certified as a Best Place to Work for LGBTQ+ Equality by HRC Equidad MX 2025 and ranked among the Best Companies for Female Talent by EFY. POSITION Kueski is seeking a senior Growth Marketing Analytics leader to own marketing measurement end-to-end from attribution infrastructure and implementation to advanced analysis and strategic recommendations. This role requires a highly autonomous professional who can build scalable analytics frameworks, uncover second-order business impacts beyond standard attribution models, and translate complex data into actionable growth decisions. This role is ideal for an analytical expert who thrives in high-ownership environments, enjoys connecting marketing activities to business outcomes, and can partner cross-functionally with marketing, sales, and analytics teams to optimize investment decisions and accelerate sustainable growth. KEY RESPONSABILITIES ATTRIBUTION STRATEGY & MEASUREMENT - Design, implement, and continuously refine marketing attribution models across all channels, ensuring they reflect the true complexity of the customer journey. - Develop a framework to identify and account for second-order effects initiatives whose impact on brand awareness, funnel priming, or downstream conversion isn't directly attributable but is strategically significant. - Define incrementality measurement approaches (geo holdouts, intent-to-treat analyses, synthetic controls) to evaluate the true causal impact of marketing investments beyond last-touch or even multi-touch models. - Own attribution methodology decisions and communicate trade-offs clearly to stakeholders and leadership. TECHNICAL IMPLEMENTATION & DATA INFRASTRUCTURE - Lead the implementation and maintenance of tracking infrastructure: pixel setup, tag management (Google Tag Manager or equivalent), and event tracking across web and app. - Design and implement server-to-server (S2S) integrations to improve signal quality, reduce data loss from browser restrictions, and enhance campaign optimization inputs for paid media platforms. - Audit and troubleshoot data discrepancies across tracking systems, ensuring data accuracy and integrity end-to-end. - Manage and evolve the marketing analytics stack (GA4, Amplitude, third-party attribution tools, Databricks) and stay current on emerging measurement technologies and privacy-driven changes. - Partner with Data Engineering and Product to improve event schemas, tracking coverage, and data pipeline reliability. DATA ANALYSIS & SELF-SUFFICIENT INSIGHT GENERATION - Pull, structure, and analyze your own data independently building the analyses needed to reach conclusions and push initiatives forward, without relying on others to surface information. - Develop and maintain dashboards and reports that give clear, actionable visibility into campaign performance, channel ROI, and attribution trends. - Identify patterns and anomalies proactively; bring forward recommendations with a clear point of view, not just observations. - Use advanced analytics to correlate marketing activities with business outcomes, providing the strategic inputs needed for budget allocation and channel mix decisions. CAMPAIGN OPTIMIZATION & CROSS-FUNCTIONAL IMPACT - Collaborate with Performance and Lifecycle marketing teams to translate attribution insights into concrete campaign optimizations. - Conduct A/B and multivariate experiments to validate attribution assumptions and improve measurement accuracy over time. - Help forecast marketing budgets based on attribution data and provide a clear framework for where to allocate spend for maximum ROI. - Act as the internal expert on attribution and measurement educating teams on best practices and building shared understanding across marketing, data, and finance. JOB REQUIREMENTS - 5+ years of experience in marketing analytics, growth analytics, or a closely related field, with a strong track record of operating autonomously on complex, end-to-end projects. - Deep technical expertise in tracking implementation: tag management (GTM or equivalent), pixel setup, event tracking across web and mobile, and server-to-server integrations for campaign signal optimization. - Strong command of attribution modeling: multi-touch, data-driven, and incrementality-based approaches with the ability to articulate the limitations of each and when to apply them. - Developed analytical sensibility for second-order effects: able to reason about indirect, non-attributable contributions of marketing initiatives and incorporate that thinking into budget and strategy recommendations. - Proficiency in SQL and at least one BI/analytics tool (Databricks, Data Studio, Tableau, or equivalent); able to independently extract and model data without relying on data teams for every pull. - Experience with web analytics platforms (GA4, Adobe Analytics) and behavioral analytics tools (Amplitude or equivalent). - Solid understanding of digital marketing channels and their specific measurement challenges including paid social, SEM, programmatic, affiliate, and CRM. - Experience with A/B testing and statistical analysis applied to marketing measurement. - Clear, concise communicator: able to translate complex analytical findings into strategic recommendations for non-technical stakeholders and senior leadership. - Detail-oriented and proactive, with a high standard for data accuracy and a bias toward action - experience with statistical modeling, machine learning applied to marketing (e.g., MMM, propensity models), and mentorship of junior analysts. DIVERSITY & INCLUSION At Kueski we embrace diversity in all forms, systematically promote equity, and ensure everyone feels included with a sense of belonging. We are committed to the full inclusion of all qualified candidates. As part of this commitment, we will make efforts to ensure reasonable accommodations are made during the hiring process. If reasonable accommodation is needed, please let the Talent Acquisition team know.", "summaryDescription" : "Paid Analytics Manager at Kueski. Skills: Attribution modeling, Marketing analytics, Growth analytics, Data analysis. Design attribution models. Implement attribution models", "createdAt" : "2026-06-14T04:56:09.184", "lastUpdated" : "2026-06-15T09:16:37.277", "ingestTimestamp" : "2026-06-14T04:56:09.184", "mongoId" : "6a2c694d74d8ee00a0906d9e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Attribution modeling", "Incrementality measurement", "Geo holdouts", "Intent-to-treat analyses", "Synthetic controls", "Server-to-server integrations", "A/B testing", "Multivariate experiments", "Statistical analysis", "Propensity models", "Machine learning", "Marketing analytics", "Growth analytics", "Data analysis", "Attribution strategy", "Measurement", "Campaign optimization", "Budget allocation", "Channel mix decisions", "Strategic recommendations", "Data modeling", "Data infrastructure", "Data accuracy", "Data integrity", "Data discrepancies", "Data pipeline reliability", "Event schemas", "Tracking coverage", "Marketing measurement", "Growth metrics", "Brand strategy", "Customer acquisition", "Campaign management", "Buy now, pay later", "Online consumer credit", "FinTech", "Paid social", "SEM", "Programmatic", "Affiliate", "CRM", "Marketing attribution", "Customer journey", "Brand awareness", "Funnel priming", "Downstream conversion", "Marketing investments", "Last-touch models", "Multi-touch models", "Tracking systems", "Measurement technologies", "Privacy-driven changes", "Data pipeline", "Campaign optimization inputs", "Paid media platforms", "Web analytics", "Behavioral analytics", "Digital marketing channels", "Measurement challenges", "MMM", "Google Tag Manager", "GA4", "Amplitude", "Databricks", "Data Studio", "Tableau" ], "skillCount" : 66, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2d436f74d8ee00a0b42c78", "title" : "Analytics Engineer", "company" : "Talkiatry", "industry" : "Corporate & Technology", "salary" : { "min" : 130000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York, NY", "locations" : [ "New York, NY" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T00:39:18.348", "fingerprint" : "80a5b9c4f60caa00439c58f46a2b90c6f31a7713267f5aa17b8aeff93742efab", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/talkiatry/75a5f6d7-bf9f-40a5-bde3-87e2d8ff8ad3/application", "externalId" : "75a5f6d7-bf9f-40a5-bde3-87e2d8ff8ad3", "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, 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", "professionalSkills" : [ "Data engineering", "Data modeling", "ETL development", "Business intelligence", "Data warehousing", "Statistical analysis", "Machine learning", "AI", "Quantitative analysis", "Data visualization", "Cloud data platforms", "ML frameworks", "BI platforms" ], "hardSkillsList" : [ "Data analysis", "Data manipulation", "Data cleaning", "Database management", "Algorithm development", "Model deployment", "Statistical modeling", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Analytics engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data engineering", "Analytics engineering", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and optimize data models, Design and implement ETL processes, Create and manage data warehouses, Develop business intelligence dashboards, Perform statistical analysis, Build and deploy machine learning models, Collaborate with stakeholders to understand data needs, Ensure data quality and integrity, Troubleshoot data-related issues, Stay updated on emerging data technologies", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "Healthcare data", "domainList" : [ "healthcare-data" ], "domainSpecificKnowledge" : [ "Healthcare data" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Root cause 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 or PhD preferred, Experience with cloud data warehouses, Experience with data visualization tools, Experience with ML frameworks, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "rawDescription" : "We are looking for an Analytics Engineer to join a team dedicated to building the governed data foundation that powers decision-making across Talkiatry. You'll work alongside a collaborative team of engineers to design and maintain reliable, well-documented data models that stakeholders can trust and explore independently. ABOUT TALKIATRY: Talkiatry is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. Co-founded by a patient and a triple-board-certified psychiatrist, we were built to solve one of healthcare’s most urgent challenges: millions of people struggle to access mental health care, while clinicians face growing administrative burden and burnout. Through our technology-powered, in-network platform, we’re changing that, creating a better experience for patients and empowering clinicians to focus on delivering exceptional care. Today, Talkiatry is the largest dedicated psychiatry practice in the U.S., with 750+ psychiatrists, 250+ therapists, and more than two million patient visits delivered nationwide. At our scale, every innovation has real impact. Every workflow we improve, every technology solution we build, and every patient experience we redesign helps thousands of clinicians provide better care to hundreds of thousands of patients. We’re not just growing quickly — we’re redefining how behavioral healthcare is delivered in America. Joining Talkiatry means joining a mission-driven team that is solving complex problems at scale, driving meaningful change in healthcare, and building the future of mental health care with compassion, innovation, and purpose. YOU WILL: - Build and maintain clean, scalable, well-documented data models using dbt, Snowflake, and Databricks that serve as the trusted foundation for decision-making across the org - Partner with stakeholders to understand business questions and translate them into governed, reusable data products — not one-off reports - Contribute to a self-service analytics environment where stakeholders can independently explore data through well-structured, reliable models - Adhere to and help evolve our data governance, data quality, and documentation standards - Support dashboard and reporting needs where appropriate, with an emphasis on enabling stakeholders rather than building on their behalf - Collaborate with data and engineering teams to ensure data products are integrated into the broader product and engineering development process from the start YOUR QUALIFICATIONS: - 2 to 3 years of experience in Analytics Engineering, Data Engineering, or a closely related role - Proficient SQL skills with a working understanding of data modeling concepts (star schema, slowly changing dimensions, grain) - Hands-on experience with dbt and a cloud data warehouse such as Snowflake or BigQuery - Familiarity with at least one BI or data exploration tool such as Omni, Looker, or Tableau - A bias toward building reusable, documented, and governed data products over ad hoc solutions - Exposure to working cross-functionally with non-technical stakeholders to understand business needs - Clear communication skills with the ability to explain data concepts and trade-offs to a range of audiences WHY TALKIATRY: - Top-notch team: we're a diverse, experienced group motivated to make a difference in mental health care - Collaborative environment: be part of building something from the ground up at a fast-paced startup - Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more - Grow your career with us: hone your skills and build new ones with our Learning team as Talkiatry expands Talkiatry participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. only after a job offer is accepted and Form I-9 is completed. For more information on E-Verify, please visit the following: EVerify Participation https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FEVerifyParticipationPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=qFgJNzh246Js%2FFqdsb9OZgN55rg5GpsB0wjiTvkPn9w%3D&reserved=0 & IER Right to Work https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FIER_RighttoWorkPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=ivUqrPtiBjGVkMzpMBSYalwvm2Zxhj%2BScqVUX2OfqUA%3D&reserved=0. At Talkiatry, we are an equal opportunity employer committed to a diverse, inclusive, and equitable workplace and candidate experience. We strive to create an environment where everyone has a sense of belonging and purpose, and where we learn from the unique experiences of those around us. We encourage all qualified candidates to apply regardless of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status.", "summaryDescription" : "Analytics Engineer at Talkiatry. Skills: Data engineering, Analytics engineering, Machine learning, Business intelligence. Develop and maintain data pipelines. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 1+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Associate, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Data insights. Define business questions. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 1+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Associate, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Problem solving, Data insights. Define business questions. Define metrics", "createdAt" : "2026-06-16T00:29:55.336", "lastUpdated" : "2026-06-16T10:29:17.410", "ingestTimestamp" : "2026-06-16T00:29:55.336", "mongoId" : "6a305098f292fd229cef28e7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 130000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data interpretation", "Data structuring", "Data pulling", "Direct communication", "BizOps", "Analytics", "Problem solving", "Data insights", "First principles thinking", "Analytical problem solving", "Data analysis", "Metrics definition", "Report building", "Experiment design", "Insight generation", "Decision driving", "End-to-end execution", "Car ownership", "Home ownership", "Motorcycle ownership", "RV ownership", "Insurance", "Driving insights", "Diagnostics", "Repair marketplace", "SQL", "Clickhouse", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 31, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "manager product analytics measurement strategy self service analytics jobs", "metadata" : { "title" : "manager product analytics measurement strategy self service analytics" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 152328, "totalPages" : 3047, "hasNext" : true, "hasPrevious" : false } }

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