{ "count" : 131012, "data" : [ { "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" : "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. 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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, 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. 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. Push back on flawed questions", "createdAt" : "2026-06-16T00:28:14.625", "lastUpdated" : "2026-06-16T10:14:27.498", "ingestTimestamp" : "2026-06-16T00:28:14.625", "mongoId" : "6a305930f292fd229cf45a2d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 170000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data interpretation", "Data structuring", "Data pulling", "Direct communicator", "Owner", "BizOps", "Analytics", "Data insights", "First principles thinking", "Data analysis", "Problem solving", "Car insurance", "Driving insights", "Car diagnostics", "Repair marketplace", "Home insurance", "Motorcycle insurance", "RV insurance", "SQL", "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" : "6a1ae88e58b93c861e9b23fe", "title" : "Sr. Manager, Speech Analytics", "company" : "Hyundai Capital America", "salary" : { "min" : 155000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Sr. Manager in Financial Services in Plano, USA, adjusted for seniority and company size." }, "location" : "United States-Texas-Plano", "locations" : [ "United States-Texas-Plano", "
Dallas, TX (HCA_DallasTX)
6100 W. Plano Parkway, Suite 2000
Suite 2000
Plano, 75093

" ], "timestamp" : "2026-06-16T02:22:28.336", "fingerprint" : "08cb41eef2bccbea998948d633f3b8f312b1104e284989b334468040ba648d43", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=115463", "externalId" : "115463", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Plano", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.0136764,-96.6925096" } ], "locationText" : "Plano, Texas, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 2 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. We Take Care of Our People Along with competitive pay, as an employee of HCA, you are eligible for the following benefits: ·          Medical, Dental and Vision plans that include no-cost and low-cost plan options ·          Immediate 401(k) matching and vesting ·          Vehicle purchase and lease discounts plus monthly vehicle allowances ·          Paid Volunteer Time Off with company donation to a charity of your choice ·          Tuition reimbursement What to Expect The Sr. Manager, Speech Analytics is responsible for the execution of speech analytics initiatives within the Operations Division for performance management reporting, GenAI development and report automation, First Line of Defense (FLOD), Customer Impact Analysis reporting, continuous improvement efforts, and regulatory compliance. This role focuses on leveraging advanced speech analytics technologies to drive operational efficiency, enhance customer experience, and support compliance objectives What You Will Do 1.       Lead and implement GenAI initiatives, harnessing advanced generative AI technology to automate manual processes and deliver actionable insights to Operations leadership. Enable enhanced performance, foster positive behavioral change, and proactively reduce complaints by leveraging GenAI-driven solutions. 2.       Drive and oversee First Line of Defense initiatives by utilizing advanced speech analytics to strengthen compliance monitoring across the organization. Partner closely with business leaders to implement critical compliance strategies, offering expert guidance and consultative support to ensure effective interpretation and application of speech analytics data 3.       Design, implement, and refine speech analytics initiatives to uncover trends, insights, and opportunities for operational improvement. 4.       Present findings, track key metrics, establish data visualization tools and communicate progress on initiatives to executives and stakeholders across the business 5.    Lead, mentor, and develop team members by providing direction, performance feedback, and support to ensure effective collaboration, professional growth, and achievement of organizational and personal goals. What You Will Bring ·         Minimum 8 years progressive experience in contact center data analytics, speech analytics, reporting or operations management within financial services with proven success leading cross-functional medium to large department initiatives. ·         Minimum 3 years supervisory experience. ·         Nexidia Interaction Analytics experience preferred. ·         Automotive finance experience a plus. ·         Bachelor's degree in Analytics, Business, or Computer Science or related field; or equivalent work experience. ·         Master’s Degree a plus ·         Strong leadership and project management skills, with proven ability to drive cross-departmental initiatives. ·         Expertise in speech analytics platforms and technologies, with a working knowledge of regulatory requirements in financial services. ·         Conceptual thinking, analytical and problem-solving abilities. ·         Proven experience with data visualization tools, and using data and metrics to drive improvements. ·         Working knowledge of SQL, Tableau, GenAI and other database technologies to extract data to identify trends. ·         Demonstrated competency and passion for using GenAI tools. ·         Demonstrated experience in data models and reporting packages using speech analytics platforms. ·         Proven ability to summarize data and create compelling visuals and presentations to communicate key findings to stakeholders. ·         Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook). ·         Ability to successfully manage, train, develop and mentor direct reports. ·         Strong written and verbal communication skills; strong presentation skills to present to leadership. ·         Strong interpersonal skills to work in a team environment and build relationships with internal and external stakeholders WORK ENVIRONMENT Employees in this class are subject to extended periods of sitting, standing and walking, and using a computer. Work is performed in an office environment The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . 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Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "timestamp" : "2026-06-16T02:14:44.877", "fingerprint" : "1ac6fc207429921ccf457f889b3f0c9853a410adfce8f4c488070be59855c475", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=115684", "externalId" : "115684", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 2 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. We Take Care of Our People Along with competitive pay, as an employee of HCA, you are eligible for the following benefits: ·          Medical, Dental and Vision plans that include no-cost and low-cost plan options ·          Immediate 401(k) matching and vesting ·          Vehicle purchase and lease discounts plus monthly vehicle allowances ·          Paid Volunteer Time Off with company donation to a charity of your choice ·          Tuition reimbursement What to Expect The Sr. Manager, Speech Analytics is responsible for the execution of speech analytics initiatives within the Operations Division for performance management reporting, GenAI development and report automation, First Line of Defense (FLOD), Customer Impact Analysis reporting, continuous improvement efforts, and regulatory compliance. This role focuses on leveraging advanced speech analytics technologies to drive operational efficiency, enhance customer experience, and support compliance objectives. What You Will Do 1.      Lead and implement GenAI initiatives, harnessing advanced generative AI technology to automate manual processes and deliver actionable insights to Operations leadership. Enable enhanced performance, foster positive behavioral change, and proactively reduce complaints by leveraging GenAI-driven solutions 2.      Drive and oversee First Line of Defense initiatives by utilizing advanced speech analytics to strengthen compliance monitoring across the organization. Partner closely with business leaders to implement critical compliance strategies, offering expert guidance and consultative support to ensure effective interpretation and application of speech analytics data 3.      Design, implement, and refine speech analytics initiatives to uncover trends, insights, and opportunities for operational improvement 4.      Present findings, track key metrics, establish data visualization tools and communicate progress on initiatives to executives and stakeholders across the business. 5.      Lead, mentor, and develop team members by providing direction, performance feedback, and support to ensure effective collaboration, professional growth, and achievement of organizational and personal goals What You Will Bring ·          Minimum 8 years progressive experience in contact center data analytics, speech analytics, reporting or operations management within financial services with proven success leading cross-functional medium to large department initiatives. ·          Minimum 3 years supervisory experience. ·          Nexidia Interaction Analytics experience preferred. ·          Automotive finance experience a plus ·          Bachelor's degree in Analytics, Business, or Computer Science or related field; or equivalent work experience. ·          Master’s Degree a plus. ·          Strong leadership and project management skills, with proven ability to drive cross-departmental initiatives. ·          Expertise in speech analytics platforms and technologies, with a working knowledge of regulatory requirements in financial services. ·          Conceptual thinking, analytical and problem-solving abilities. ·          Proven experience with data visualization tools, and using data and metrics to drive improvements. ·          Working knowledge of SQL, Tableau, GenAI and other database technologies to extract data to identify trends. ·          Demonstrated competency and passion for using GenAI tools. ·          Demonstrated experience in data models and reporting packages using speech analytics platforms. ·          Proven ability to summarize data and create compelling visuals and presentations to communicate key findings to stakeholders. ·          Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook). ·          Ability to successfully manage, train, develop and mentor direct reports. ·          Strong written and verbal communication skills; strong presentation skills to present to leadership. ·          Strong interpersonal skills to work in a team environment and build relationships with internal and external stakeholders WORK ENVIRONMENT Employees in this class are subject to extended periods of sitting, standing and walking, and using a computer. Work is performed in an office environment. The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . United States-California-Irvine", "summaryDescription" : "Sr. Manager, Speech Analytics at Hyundai Capital America", "createdAt" : "2026-06-14T20:43:59.482", "lastUpdated" : "2026-06-16T02:14:44.877", "ingestTimestamp" : "2026-06-14T20:43:59.482", "mongoId" : "6a1ae88e58b93c861e9b23ff", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306afff292fd229cfceb63", "title" : "Sr Manager, Distribution Insights and Analytics", "company" : "NBCUniversal", "industry" : "Entertainment", "salary" : { "min" : 120000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NEW YORK, United States", "locations" : [ "New York", "NEW YORK", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T09:18:42.965", "fingerprint" : "afaa085e21ddbf0c4130a3767da4a46bd58a9db2da6ebd7e96afc025017dff0f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NBCUniversal3/744000132217389-sr-manager-distribution-insights-and-analytics", "externalId" : "744000132217389", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Tableau, Power BI, Looker", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "Machine learning", "Business intelligence", "Statistical modeling", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Machine learning, Business intelligence, Data engineering", "majorSkillsList" : [ "Data analytics", "Machine learning", "Business intelligence", "Data engineering" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and optimize data models, Design and implement BI solutions, Perform statistical analysis, Develop and deploy machine learning models, Collaborate with stakeholders to understand data needs, Communicate insights and recommendations, Ensure data quality and integrity", "teamCollaboration" : "Cross-functional teams; 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Communicate recommendations", "problemSolvingSkills" : "Data analysis; Statistical analysis; Troubleshooting", "qualificationsBasic" : "5+ years of experience in data analytics or related field, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "Master's degree preferred, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with BI tools (Tableau, Power BI, Looker)", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. About Platform Distribution & Partnerships: Platform Distribution and Partnerships is a division of NBCUniversal's media group responsible for the distribution and monetization of the company’s multi-billion-dollar linear and streaming services portfolio to pay-tv providers, NBC broadcast affiliates, consumer technology platforms and devices, and consumer brands. A key revenue-generator, the division is comprised of content distribution, affiliate relations and strategic partnerships across NBC, Peacock, Bravo, Telemundo and various FAST channels This is a unique and outstanding opportunity that offers exposure to all aspects of the NBC Network. The Affiliate Relations Division liaises between the NBC Network/Peacock and the 200+ NBC Affiliate Local Stations around the US. This includes working with Entertainment, Sports, News and Peacock. The Sr. Manager will lead the insights and analytics function for the division, focusing on the evolution of consumer viewing habits across linear and streaming platforms. The efforts will inform NBC’s broadcast distribution strategy across partners and platforms. The ideal candidate is a self-starter that can leverage a wide range of data tools to support high-visibility projects. Responsibilities * Responsible for supporting all ratings/data requests (recurring and ad-hoc) for Affiliate Relations team and larger Platform Distribution & Partnerships organization * Leverage data sources to develop internal presentations and client sales materials for critical affiliate deals * Develop frameworks for evaluating viewership of NBC/competitor content across platforms (Pay-TV, over-the-air, FAST) to shape competitive positioning * Work with leadership, communications, PR and other teams to support the development of materials for clients and industry platforms * Represent Affiliate Relations/Broadcast perspective when working on initiatives with vendors (i.e. Nielsen) and broader Decision Sciences organization * Work across NBCU departments to manage platforms and databases housing key station/market information such as ratings and clearances * Support Affiliate Reps in managing daily affiliate station relationships, with a focus on driving operational consistency ## Qualifications Qualifications * 6+ years of experience in insights, strategy, consulting or a related function * 3+ years of experience in measurement, analytics or insights at a media company (station, network, data platform) * Expertise in Media research platforms such as Nielsen, comScore, SNL Kagan, Adobe, Antenna * Expert Excel skills and experience compiling, transforming, and modeling stories using large datasets * Experience crafting compelling PowerPoint presentations that tell meaningful stories with data * Familiarity working with visualization tools (ex. Tableau) * Superior organizational and administrative skills with the ability to multi-task and prioritize work required * Excellent verbal and written communication skills with all levels both internal and external Additional Requirements: * Hybrid: This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. * This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. * Sr. Manager Salary range: $120,000 - $145,000 (Bonus Eligible) ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.", "summaryDescription" : "Sr Manager, Distribution Insights and Analytics at NBCUniversal. Skills: Data analytics, Machine learning, Business intelligence, Data engineering. Develop and maintain data pipelines. Build and optimize data models", "postedDate" : "2026-06-15T14:25:16.000", "createdAt" : "2026-06-16T00:14:42.954", "lastUpdated" : "2026-06-16T09:18:42.965", "ingestTimestamp" : "2026-06-16T00:14:42.954", "mongoId" : "6a306afff292fd229cfceb63", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data engineering", "Machine learning", "Business intelligence", "Statistical modeling", "A/B testing", "Causal inference", "Data analytics", "Data modeling", "Statistical analysis", "Quantitative analysis", "Data science", "Analytics engineering", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Modelling skills", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "AWS", "GCP", "Azure", "SageMaker", "Vertex AI", "Synapse", "ML Studio", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "skillCount" : 52, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a304ff3f292fd229ceeb334", "title" : "Sr Manager, Distribution Insights and Analytics", "company" : "NBCUniversal", "industry" : "Entertainment", "salary" : { "min" : 120000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NEW YORK, United States", "locations" : [ "New York", "NEW YORK", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:45:12.856", "fingerprint" : "55427dd654eb7d917189288e6c25472957d891875ce5f91427c51d29ab5b8218", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NBCUniversal3/744000132217389-sr-manager-distribution-insights-and-analytics", "externalId" : "744000132217389", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio, Tableau, Power BI, Looker", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data modeling", "Statistical methods", "Machine learning", "Data engineering", "Business intelligence", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, Data Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and deploy machine learning models, Create and manage BI dashboards, Perform data analysis and generate insights, Collaborate with stakeholders to understand data needs, Ensure data quality and integrity, Stay current with industry trends and technologies", "teamCollaboration" : "Cross-functional teams; 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We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. About Platform Distribution & Partnerships: Platform Distribution and Partnerships is a division of NBCUniversal's media group responsible for the distribution and monetization of the company’s multi-billion-dollar linear and streaming services portfolio to pay-tv providers, NBC broadcast affiliates, consumer technology platforms and devices, and consumer brands. A key revenue-generator, the division is comprised of content distribution, affiliate relations and strategic partnerships across NBC, Peacock, Bravo, Telemundo and various FAST channels This is a unique and outstanding opportunity that offers exposure to all aspects of the NBC Network. The Affiliate Relations Division liaises between the NBC Network/Peacock and the 200+ NBC Affiliate Local Stations around the US. This includes working with Entertainment, Sports, News and Peacock. The Sr. Manager will lead the insights and analytics function for the division, focusing on the evolution of consumer viewing habits across linear and streaming platforms. The efforts will inform NBC’s broadcast distribution strategy across partners and platforms. The ideal candidate is a self-starter that can leverage a wide range of data tools to support high-visibility projects. Responsibilities * Responsible for supporting all ratings/data requests (recurring and ad-hoc) for Affiliate Relations team and larger Platform Distribution & Partnerships organization * Leverage data sources to develop internal presentations and client sales materials for critical affiliate deals * Develop frameworks for evaluating viewership of NBC/competitor content across platforms (Pay-TV, over-the-air, FAST) to shape competitive positioning * Work with leadership, communications, PR and other teams to support the development of materials for clients and industry platforms * Represent Affiliate Relations/Broadcast perspective when working on initiatives with vendors (i.e. Nielsen) and broader Decision Sciences organization * Work across NBCU departments to manage platforms and databases housing key station/market information such as ratings and clearances * Support Affiliate Reps in managing daily affiliate station relationships, with a focus on driving operational consistency ## Qualifications Qualifications * 6+ years of experience in insights, strategy, consulting or a related function * 3+ years of experience in measurement, analytics or insights at a media company (station, network, data platform) * Expertise in Media research platforms such as Nielsen, comScore, SNL Kagan, Adobe, Antenna * Expert Excel skills and experience compiling, transforming, and modeling stories using large datasets * Experience crafting compelling PowerPoint presentations that tell meaningful stories with data * Familiarity working with visualization tools (ex. Tableau) * Superior organizational and administrative skills with the ability to multi-task and prioritize work required * Excellent verbal and written communication skills with all levels both internal and external Additional Requirements: * Hybrid: This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. * This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. * Sr. Manager Salary range: $120,000 - $145,000 (Bonus Eligible) ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.", "summaryDescription" : "Sr Manager, Distribution Insights and Analytics at NBCUniversal. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and maintain data pipelines. Build and deploy machine learning models", "postedDate" : "2026-06-15T14:25:16.000", "createdAt" : "2026-06-15T21:41:18.491", "lastUpdated" : "2026-06-16T08:45:12.856", "ingestTimestamp" : "2026-06-15T21:41:18.491", "mongoId" : "6a304ff3f292fd229ceeb334", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data modeling", "Statistical methods", "Machine learning", "Data engineering", "Business intelligence", "A/B testing", "Causal inference", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Statistical analysis", "Quantitative analysis", "Data warehousing", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical modelling", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "skillCount" : 39, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "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. 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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. 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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. 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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. 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, 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. 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"llmIndustryConfidence" : 0.95 }, { "id" : "6a307faaf292fd229c05bff4", "title" : "Campaign Analytics Manager, YouTube", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Media in New York, United States, adjusted for seniority and full-time employment." }, "location" : "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]", "locations" : [ "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]", "[San Bruno, CA, USA, [San Bruno, CA, USA], San Bruno, null, CA, US]" ], "timestamp" : "2026-06-16T10:54:39.610", "fingerprint" : "99728fb03e7949471ab06a77df59ab7f02a4d07385ca553f5db96417d1961344", "source" : "google", "language" : "en", "externalId" : "72659159996080838", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : 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Fitness", "salary" : { "min" : 160000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T09:52:41.454", "fingerprint" : "4834bdf7196e077b4e681b9894ca6960f634b3b890cce695edf3cbe83a6d9cfa", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fanaticsfbg/jobs/4239983009", "externalId" : "4239983009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, 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"intermediate" }, { "name" : "Model development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Critical thinking" } ], "majorSkills" : "Data analytics, Machine learning, Business intelligence, Data engineering", "majorSkillsList" : [ "Data analytics", "Machine learning", "Business intelligence", "Data engineering" ], "coreResponsibilities" : "Monitor performance, Ensure nuances communicated, Partner with Data Science, Partner with Experimentation teams, Design value metrics, Design testing, Evaluate performance, Contribute to development, Iteratively improve acquisition performance, Drive decision making, Create regular insights, Create ad hoc insights, Gather insights metrics, Gather insights activities, Present insights metrics, Present insights activities, Build relationships with stakeholders, Drive acquisition performance, Collaborate with Analysts, Collaborate with Data Scientists, Find solutions to business problems, Remain current on technology, Remain current on trends", "teamCollaboration" : "Digital Acquisition team; Sportsbook team; Casino team; Data teams; Other Analysts; Data Scientists", "domainKnowledge" : "Sports betting; iGaming platform; Online sports betting; Statistical model development; High-growth environments; Betting and gaming industry", "domainList" : [ "sports-betting", "igaming-platform", "online-sports-betting", "statistical-model-development", "high-growth-environments", "betting-and-gaming-industry" ], "domainSpecificKnowledge" : [ "Sports betting", "iGaming platform", "Online sports betting", "Statistical model development", "High-growth environments", "Betting and gaming industry" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Dbt Cloud", "AWS S3", "AWS Glue", "AWS SageMaker", "AWS Athena", "GCP Vertex AI", "Azure Synapse", "Azure ML Studio" ], "communicationSkills" : "Presenting insights; Advisory", "problemSolvingSkills" : "Logical approach; Analytical approach", "qualificationsBasic" : "5+ years experience, SQL proficiency, Required degrees in Statistics, Required degrees in Computer Science, Required degrees in Mathematics", "qualificationsPreferred" : "PhD preferred, Cloud platform certifications", "remoteFriendly" : false, "rawDescription" : "About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U. S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. The Role: We are seeking a Senior Analytics Manager to join the Fanatics Betting monitor and ensure that nuances are communicated effectively. Partner closely with Data Science and Experimentation teams to design value metrics and testing, and evaluate performance. Contribute to the development and iterative improvement of our acquisition performance, using insights to drive and influence decision making. Be a hands-on analyst, creating insights both regular and ad hoc. Gather and present insights metrics and activities to key stakeholders, becoming a trusted source of intelligence and advisory over time. Build strong relationships with internal stakeholders in the Digital Acquisition team, as well as across the Sportsbook, Casino, and Data teams, and become a key voice in driving acquisition performance. Collaboration with other Analysts and Data Scientists to find solutions to business problems. Remain current on technology and trends in data analytics and the sports betting a strong understanding of the considerations required to run these tests. Experience in and a strong understanding of statistical model development. Demonstrated ability to partner closely with stakeholders, earning trust and prioritizing relationship, and to influence senior leadership. Confident with presenting insights to non-technical audiences, seeking to match the analysis to the business context, and making recommendations on further steps. Customer focused; highly outcome-oriented and data-driven; experienced in working in high-growth environments. Logical and analytical approach to problem solving, with strong organizational and skills. Previous experience in the betting and gaming industry is a significant plus. Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $160,000—$200,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.", "summaryDescription" : "Sr Manager Data Analytics, Marketing at Fanatics Betting & Gaming. Skills: Data analytics, Machine learning, Business intelligence, Data engineering. Monitor performance. 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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. 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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; Industry datasets; IQVIA datasets; Payer strategy; Commercial operations; Market access; Payer analytics; Patient access; Prior authorizations; Step edits; Denials; Reimbursement policies; Coverage dynamics", "domainList" : [ "healthcare-data-ecosystems", "claims-data", "specialty-pharmacy-data", "hub-data", "industry-datasets", "iqvia-datasets", "payer-strategy", "commercial-operations", "market-access", "payer-analytics", "patient-access", "prior-authorizations", "step-edits", "denials", "reimbursement-policies", "coverage-dynamics" ], "domainSpecificKnowledge" : [ "Healthcare data ecosystems", "Claims data", "Specialty pharmacy data", "Hub data", "Industry datasets", "IQVIA datasets", "Payer strategy", "Commercial operations", "Market access", "Payer analytics", "Patient access", "Prior authorizations", "Step edits", "Denials", "Reimbursement policies", "Coverage dynamics" ], "toolProficiency" : [ "Excel", "Alteryx", "SAS", "Power BI" ], "communicationSkills" : "Presentation skills; 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. Analyze reimbursement policies", "postedDate" : "2026-06-15T10:08:39.794", "createdAt" : "2026-06-15T10:08:39.794", "lastUpdated" : "2026-06-16T15:05:39.051", "ingestTimestamp" : "2026-06-16T03:20:55.497", "mongoId" : "6a305119f292fd229cef9cdd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 116000, "salaryAnnualMax" : 151000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Payer analytics", "Claims data analysis", "Reimbursement policy analysis", "Data infrastructure improvement", "Data quality management", "Cross-system consistency", "Agreement impact assessment", "Presentation skills", "Organizational skills", "Healthcare data", "Data analysis", "Reporting tools", "Analytical thinking", "Problem-solving", "Scenario modeling", "Performance evaluation", "Business planning", "Manage multiple projects", "Prioritize effectively", "Meet tight deadlines", "Healthcare data ecosystems", "Claims data", "Specialty pharmacy data", "Hub data", "Industry datasets", "IQVIA datasets", "Payer strategy", "Commercial operations", "Market access", "Patient access", "Prior authorizations", "Step edits", "Denials", "Reimbursement policies", "Coverage dynamics", "Excel", "Alteryx", "SAS", "Power BI" ], "skillCount" : 39, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307af3f292fd229c042239", "title" : "Sr Director, Enterprise Data & Analytics", "company" : "Tarsus Pharmaceuticals", "industry" : "Pharma", "salary" : { "min" : 255000.0, "max" : 357000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Irvine, California, United States", "locations" : [ "Irvine", "California", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T12:28:48.325", "fingerprint" : "15009b0557edbb13d8878c332809bcc4fd98d0daac11b375a51b7d0dd874df71", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://tarsusrx.com/careers?gh_jid=6030918004", "externalId" : "6030918004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, Vertex AI, Azure ML", "professionalSkills" : [ "Quantitative analysis", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Analytics engineering" ], "hardSkillsList" : [ "Regression analysis", "Classification modeling", "Clustering algorithms", "Time-series forecasting", "A/B testing", "Causal inference" ], "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" }, { "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 execute A/B tests, Create and maintain BI dashboards, Collaborate with cross-functional teams, Provide analytical insights, Stay current with industry trends", "teamCollaboration" : "Cross-functional teams; Stakeholders", "toolProficiency" : [ "Dbt Cloud" ], "qualificationsBasic" : "5+ years of experience in data science or analytics, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "PhD preferred, Experience with ML frameworks, Cloud platform certifications", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About the Role We are seeking a visionary and results-driven Senior Director of Enterprise Data & Analytics to serve as a strategic leader and key partner to the business. This senior leadership level role will be responsible for expanding and executing the company's enterprise data strategy, analytics capabilities, and driving the adoption of advanced AI and machine learning solutions across commercial and enterprise functions. The ideal candidate brings deep pharmaceutical and life sciences expertise, hands-on experience with modern cloud data platforms, and the strategic mindset to build world-class data capabilities that enable faster, smarter decision-making across the enterprise. Let’s talk about some of the key responsibilities of the role: Define and own the multi-year enterprise data and analytics strategy, and roadmap aligning closely with the company’s commercial and corporate priorities ensuring data capabilities as a competitive differentiator. Serve as a trusted advisor and strategic partner to senior leadership and business stakeholders across commercial, finance, HR, medical affairs, market access, R&D and operations — translating complex data opportunities into clear business value. Partner with senior leadership team and IT to develop and execute corporate AI strategy and adoption Proactively understand the industry trends and bring innovative data and AI capabilities to improve AI/ML adoption including Gen AI, integration of AI applications through MCP, predictive modeling and advanced analytics that drive measurable business outcomes. Lead the architecture, evolution, scalability, and lifecycle of a modern, cloud-native enterprise data platform (e.g., Databricks, Azure, Tableau), ensuring it robustly supports the organization’s advancing analytics and AI workloads. Ensure robust data governance, security, privacy, retention and compliance standards — working in close partnership with Information Security, Legal, and Privacy teams to safeguard all data assets in alignment with HIPAA, GDPR, and other applicable regulations. Direct the strategy and governance for onboarding complex life sciences data ecosystems—including commercial, claims, provider (HCP), and third-party logistics (3PL) streams—into a unified data landscape. Establish the architectural strategy for integrating advanced AI capabilities and external applications (e.g., Veeva, Salesforce) using modern, agnostic data exposure frameworks like MCP to drive seamless interoperability. Provide strategic oversight for the engineering teams responsible for building and maintaining robust ETL/ELT pipelines across commercial and enterprise data ecosystems. Serve as the organizational authority and subject matter expert on enterprise data architecture, data integration, and business intelligence—ensuring delivery of high-impact executive insights and robust self-service reporting frameworks. Implement data quality monitoring frameworks and SLAs to ensure that business-critical data assets meet accuracy, completeness, and timeliness standards. Lead strategic vendor relationships across data platform providers (e.g., Snowflake, Databricks), pharma data suppliers (e.g., IQVIA), analytics tools vendors, and implementation partners. Lead and manage IT budgets for all enterprise data and analytics spend. Champion a data-driven culture across the organization by establishing shared data literacy programs, self-service analytics frameworks, and executive-level reporting capabilities. Develop and retain a high performing team of data engineers, analysts, developers and consultants, fostering a culture of innovation, continuous learning and technical excellence. Factors for Success: Bachelor’s in computer science, Information systems, Engineering or related field, advanced degrees such as MBA or MS will be a plus. 15+ years of progressive experience in data, analytics, and technology leadership, with a minimum of 5 years in a senior leadership role preferably in a life sciences. Deep pharmaceutical or life sciences industry experience and business acumen with comprehensive understanding of commercial data ecosystems including HCP data, claims data, specialty pharmacy, market access, and patient services from leading data sources and partners. Familiarity with regulatory and compliance requirements relevant to pharmaceutical data (e.g., HIPAA, GDPR, 21 CFR Part 11). Proven track record of building and scaling enterprise data platforms in a cloud environment, with deep technical fluency in data management tools such as Databricks, Snowflake, Microsoft Azure, and AWS and data visualization tools such as Tableau, PowerBI and Spotfire. Experience integrating life sciences CRM and commercial applications — such as Veeva CRM, Veeva Vault, Salesforce, and Salesforce Marketing Cloud — with enterprise data platforms. Proven experience driving the implementation and adoption of Generative AI, predictive modeling, and machine learning capabilities within enterprise systems and data platforms. Exceptional executive communication and storytelling skills with the ability to present complex data strategies to non-technical senior leaders and board-level audiences. Strong financial acumen with experience managing budgets and spending for all data analytics related projects and consultants. Good project management experience to manage large projects in an agile or waterfall framework depending on the type and complexity of the project. A good team player with experience in managing and developing diverse, distributed teams of data professionals. Tarsus Leadership Competencies: Empowering Others - Fosters empowerment by aligning authority with accountability, developing leaders’ decision-making capability, and creating systems that support performance and growth. Emotional Intelligence - Foster trust and psychological safety, navigating complex interpersonal dynamics with compassion and accountability, and adapting leadership style to support others while maintaining composure under pressure. Grows Capacity - Builds organizational capacity by developing talent systems, coaching cultures, and strategic partnerships that grow leadership strength and prepare the next generation of leaders. Business Acumen - Demonstrates strong business acumen by anticipating market dynamics and using financial and strategic insight to guide investments, manage risk, and align priorities with long-term organizational value. Innovative Mindset and Action - Demonstrates an innovative mindset by championing new ideas, investing in enabling systems and partnerships, and translating innovation into sustainable growth and organizational resilience. A Few Other Details Worth Mentioning: The position will be based in our beautiful Irvine office, complete with onsite gym, pool, snacks, drinks, and occasional catered meals. We provide a hybrid work environment. Remote candidates with exceptional leadership skills in leading remote teams may be considered. We are passionate about our culture! Our Tarsans live our values of commitment to patients, empowerment to champion innovation, and teamwork to amplify impact! This position reports directly to VP, Digital & IT Some travel may be required – up to 10% At Tarsus, we understand the importance of attracting and retaining top talent. The expected base pay range for this position is $255,000 - $357,000 plus bonus, stock equity, and comprehensive benefits. The base pay range reflects the target range for this position, but individual pay will be determined by additional factors such as job-related skills, experience and relevant education or training. Our benefits include health, dental and vision insurance benefits to ensure your well-being. We believe in work-life balance and offer generous paid time off, including vacation, holidays, and personal days. For more details regarding Tarsus benefits, please visit: https://eb.alliant.com/26tarsusbenefitssnapshot. #LI-Hyrbid #LI-Remote Tarsus Pharmaceuticals, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.", "summaryDescription" : "Sr Director, Enterprise Data & Analytics at Tarsus Pharmaceuticals. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and implement data science models. Build and maintain data pipelines", "postedDate" : "2026-06-16T01:18:21.091", "createdAt" : "2026-06-16T01:18:21.091", "lastUpdated" : "2026-06-16T12:28:48.325", "ingestTimestamp" : "2026-06-16T01:18:21.091", "mongoId" : "6a307af3f292fd229c042239", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 255000, "salaryAnnualMax" : 357000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Regression analysis", "Classification modeling", "Clustering algorithms", "Time-series forecasting", "A/B testing", "Causal inference", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Quantitative analysis", "Data modeling", "Statistical analysis", "Analytics engineering", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.98 }, { "id" : "6a309104f292fd229c0ba247", "title" : "Sr Director, Enterprise Data & Analytics", "company" : "Tarsanet", "salary" : { "min" : 255000.0, "max" : 357000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Irvine, California, United States", "locations" : [ "Irvine", "California", "United States" ], "timestamp" : "2026-06-16T10:53:17.993", "fingerprint" : "e930f3b3815cba77dedd0cb72cf16ed0c2294a10c5830ade19169993f2fb887e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/itcss/jobs/6030919004", "externalId" : "6030919004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : true, "rawDescription" : "Hi Tarsan! Thanks for your interest in this position. Please review the details and if role and if it's something that could match your career goals, connect with your current manager and HRBP to discuss if your experience and skills line up. If everything is a go, please apply and the Talent Acquisition team will contact you for an interview so we can also get to know you better. - Your Human Resources Team About the Role We are seeking a visionary and results-driven Senior Director of Enterprise Data & Analytics to serve as a strategic leader and key partner to the business. This senior leadership level role will be responsible for expanding and executing the company's enterprise data strategy, analytics capabilities, and driving the adoption of advanced AI and machine learning solutions across commercial and enterprise functions. The ideal candidate brings deep pharmaceutical and life sciences expertise, hands-on experience with modern cloud data platforms, and the strategic mindset to build world-class data capabilities that enable faster, smarter decision-making across the enterprise. Let’s talk about some of the key responsibilities of the role: Define and own the multi-year enterprise data and analytics strategy, and roadmap aligning closely with the company’s commercial and corporate priorities ensuring data capabilities as a competitive differentiator. Serve as a trusted advisor and strategic partner to senior leadership and business stakeholders across commercial, finance, HR, medical affairs, market access, R&D and operations — translating complex data opportunities into clear business value. Partner with senior leadership team and IT to develop and execute corporate AI strategy and adoption Proactively understand the industry trends and bring innovative data and AI capabilities to improve AI/ML adoption including Gen AI, integration of AI applications through MCP, predictive modeling and advanced analytics that drive measurable business outcomes. Lead the architecture, evolution, scalability, and lifecycle of a modern, cloud-native enterprise data platform (e.g., Databricks, Azure, Tableau), ensuring it robustly supports the organization’s advancing analytics and AI workloads. Ensure robust data governance, security, privacy, retention and compliance standards — working in close partnership with Information Security, Legal, and Privacy teams to safeguard all data assets in alignment with HIPAA, GDPR, and other applicable regulations. Direct the strategy and governance for onboarding complex life sciences data ecosystems—including commercial, claims, provider (HCP), and third-party logistics (3PL) streams—into a unified data landscape. Establish the architectural strategy for integrating advanced AI capabilities and external applications (e.g., Veeva, Salesforce) using modern, agnostic data exposure frameworks like MCP to drive seamless interoperability. Provide strategic oversight for the engineering teams responsible for building and maintaining robust ETL/ELT pipelines across commercial and enterprise data ecosystems. Serve as the organizational authority and subject matter expert on enterprise data architecture, data integration, and business intelligence—ensuring delivery of high-impact executive insights and robust self-service reporting frameworks. Implement data quality monitoring frameworks and SLAs to ensure that business-critical data assets meet accuracy, completeness, and timeliness standards. Lead strategic vendor relationships across data platform providers (e.g., Snowflake, Databricks), pharma data suppliers (e.g., IQVIA), analytics tools vendors, and implementation partners. Lead and manage IT budgets for all enterprise data and analytics spend. Champion a data-driven culture across the organization by establishing shared data literacy programs, self-service analytics frameworks, and executive-level reporting capabilities. Develop and retain a high performing team of data engineers, analysts, developers and consultants, fostering a culture of innovation, continuous learning and technical excellence. Factors for Success: Bachelor’s in computer science, Information systems, Engineering or related field, advanced degrees such as MBA or MS will be a plus. 15+ years of progressive experience in data, analytics, and technology leadership, with a minimum of 5 years in a senior leadership role preferably in a life sciences. Deep pharmaceutical or life sciences industry experience and business acumen with comprehensive understanding of commercial data ecosystems including HCP data, claims data, specialty pharmacy, market access, and patient services from leading data sources and partners. Familiarity with regulatory and compliance requirements relevant to pharmaceutical data (e.g., HIPAA, GDPR, 21 CFR Part 11). Proven track record of building and scaling enterprise data platforms in a cloud environment, with deep technical fluency in data management tools such as Databricks, Snowflake, Microsoft Azure, and AWS and data visualization tools such as Tableau, PowerBI and Spotfire. Experience integrating life sciences CRM and commercial applications — such as Veeva CRM, Veeva Vault, Salesforce, and Salesforce Marketing Cloud — with enterprise data platforms. Proven experience driving the implementation and adoption of Generative AI, predictive modeling, and machine learning capabilities within enterprise systems and data platforms. Exceptional executive communication and storytelling skills with the ability to present complex data strategies to non-technical senior leaders and board-level audiences. Strong financial acumen with experience managing budgets and spending for all data analytics related projects and consultants. Good project management experience to manage large projects in an agile or waterfall framework depending on the type and complexity of the project. A good team player with experience in managing and developing diverse, distributed teams of data professionals. Tarsus Leadership Competencies: Empowering Others - Fosters empowerment by aligning authority with accountability, developing leaders’ decision-making capability, and creating systems that support performance and growth. Emotional Intelligence - Foster trust and psychological safety, navigating complex interpersonal dynamics with compassion and accountability, and adapting leadership style to support others while maintaining composure under pressure. Grows Capacity - Builds organizational capacity by developing talent systems, coaching cultures, and strategic partnerships that grow leadership strength and prepare the next generation of leaders. Business Acumen - Demonstrates strong business acumen by anticipating market dynamics and using financial and strategic insight to guide investments, manage risk, and align priorities with long-term organizational value. Innovative Mindset and Action - Demonstrates an innovative mindset by championing new ideas, investing in enabling systems and partnerships, and translating innovation into sustainable growth and organizational resilience. A Few Other Details Worth Mentioning: The position will be based in our beautiful Irvine office, complete with onsite gym, pool, snacks, drinks, and occasional catered meals. We provide a hybrid work environment. Remote candidates with exceptional leadership skills in leading remote teams may be considered. We are passionate about our culture! Our Tarsans live our values of commitment to patients, empowerment to champion innovation, and teamwork to amplify impact! This position reports directly to VP, Digital & IT Some travel may be required – up to 10% At Tarsus, we understand the importance of attracting and retaining top talent. The expected base pay range for this position is $255,000 - $357,000 plus bonus, stock equity, and comprehensive benefits. The base pay range reflects the target range for this position, but individual pay will be determined by additional factors such as job-related skills, experience and relevant education or training. Our benefits include health, dental and vision insurance benefits to ensure your well-being. We believe in work-life balance and offer generous paid time off, including vacation, holidays, and personal days. For more details regarding Tarsus benefits, please visit: https://eb.alliant.com/26tarsusbenefitssnapshot. #LI-Hyrbid #LI-Remote", "summaryDescription" : "Sr Director, Enterprise Data & Analytics at Tarsanet", "postedDate" : "2026-06-16T03:16:04.227", "createdAt" : "2026-06-16T03:16:04.227", "lastUpdated" : "2026-06-16T10:53:17.993", "ingestTimestamp" : "2026-06-16T03:16:04.227", "mongoId" : "6a309104f292fd229c0ba247", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 255000, "salaryAnnualMax" : 357000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305ad8f292fd229cf564f5", "title" : "Analytical Development - Manager / Sr. Manager", "company" : "BridgeBio Pharma", "industry" : "Biotech", "salary" : { "min" : 163800.0, "max" : 177400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote - USA", "locations" : [ "Remote - USA" ], "timestamp" : "2026-06-16T08:35:08.052", "fingerprint" : "58553f1a5b709def7f4a07ba1f734ba94e2864900aa05aafc34b1654430f4d94", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/bridgebio/jobs/5156402007", "externalId" : "5156402007", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Project management", "Scientific results", "Project updates" ], "coreResponsibilities" : "Communicate effectively with vendors, Understand project timelines, Prioritize activities to achieve goals", "domainKnowledge" : "Pharmaceutical development; CMC strategy", "domainList" : [ "pharmaceutical-development", "cmc-strategy" ], "domainSpecificKnowledge" : [ "Pharmaceutical development", "CMC strategy" ], "communicationSkills" : "Communicate effectively", "specialRequirements" : "Travel up to 20%", "qualificationsBasic" : "Ability to adapt to changes, Ability to make decisions independently", "qualificationsPreferred" : "Experience applying regulatory guidelines", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Mavericks Wanted When was the last time you achieved the impossible? If that thought feels overwhelming, you might want to pause here, but if it sparks excitement...read on   In 2015, we pioneered a “moneyball for biotech” approach, pooling projects and promising early-stage research from academia together under one financial umbrella to reduce risk and unleash innovation. This model allows science and small teams of experts to lead the way. We build bridges to groundbreaking advancements in rare disease, and develop life-changing medicines for patients with unmet needs as fast as humanly possible.    Together we define white space, push boundaries, and empower people to solve problems. If you're someone who defies convention, join us and work alongside some of the most respected minds in the industry. Together, we'll ask \"why not?\" and help reengineer the future of biopharma. At BridgeBio, we value curiosity and experimentation—including the ethical experience applying regulatory guidelines (ICH, FDA, EMA, etc.) to pharmaceutical development and CMC strategy Ability to communicate effectively with vendors regarding project scope, scientific results, and project updates. Ability to understand project timelines and appropriately prioritize activities to achieve project goals The position will require an ability to adapt to changes in priorities on short notice and will also need an ability to make decisions, independently, under tight timelines Travel up to 20% At BridgeBio, we strive to provide a market-competitive total rewards package, including base pay, an annual performance bonus, company equity, and generous health benefits. Below is the anticipated salary range for candidates for this role who will work in California. The final salary offered to a successful candidate will depend on several factors that may include but are not limited to the type and length of experience within the job, type, and length of experience within the industry, educational background, location of residence and performance during the interview process. BridgeBio is a multi-state employer, and this salary range may not reflect positions based in other states. Salary $163,800—$177,400 USD As a global company, our comprehensive benefits may vary based on location. We have high expectations for our team members. We make sure those working hard for patients are rewarded and cared for in return. For Full-Time U.S Based Roles: Financial & Rewards Market-leading compensation 401(k) with employer match Employee Stock Purchase Program (ESPP) Pre-tax commuter benefits (transit and parking) Referral bonus for hired candidates Subsidized lunch and parking on in-office days Health & Well-Being 100% employer-paid medical, dental, and vision premiums for you and your dependents Health Savings Account (HSA) with annual employer contributions, plus Flexible Spending Accounts (FSA) Fertility & family-forming benefits Expanded mental health support (therapy and coaching resources) Hybrid work model with flexibility Flexible, “take-what-you-need” paid time off and company-paid holidays Comprehensive paid medical and parental leave to care for yourself and your family Skill Development & Career Paths: People are part of our growth and success story - from discovery to active drug trials and FDA pipelines, there are endless opportunities for skill development and internal mobility We provide career pathing through regular feedback, continuous education and professional development programs via LinkedIn Learning, LifeLabs, & BetterUp Coaching We celebrate strong performance with financial rewards, peer-to-peer recognition, and growth opportunities", "summaryDescription" : "Analytical Development - Manager / Sr. Manager at BridgeBio Pharma. 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It thrives in all its forms of beauty. Our team is a mosaic of individuals from different backgrounds, cultures and life journeys, all united by a shared passion for beauty. Our commitment is grounded in our core values, particularly #trustinpeople. We hold ourselves accountable for creating an environment where every employee feels honestly valued, heard and empowered to contribute their unique perspectives to foster belonging. flaconi is an equal opportunity employer and welcomes and encourages all qualified candidates from all backgrounds and identities, regardless of ethnicity, race, gender identity, migration background, national origin, disability status, sexual orientation, religion, or age to apply. If you require specific support during the application or interview process – e. g. live captions, more time for the interview or the task in a different format – just let us know so that we can adapt the process accordingly. We will do our best to make this possible. We are looking for a Senior HR Analytics & Automation Manager (all genders) to join our high-impact team. This is a unique, tech-forward hybrid role where data intelligence meets operational innovation. If you love the thrill of building automated workflows, experimenting with AI to make processes smarter, and turning complex data into strategic insights—all while keeping an analytical grip on our Compensation & Benefits landscape—this is your playground. Your Role Take ownership of standard HR reporting and actively drive the continuous development of intuitive reports and key KPI dashboards. Establish and expand an automated, sophisticated self-service reporting landscape to empower our teams with purposeful, on-demand data insights. Lead forward-thinking automation and innovation projects as an internal advocate, using tools like Make and initial AI applications to make internal processes smarter and more efficient. Manage strategic Compensation & Benefits topics, including the seamless execution of our annual salary review process. Maintain and develop equitable salary bands while conducting vital bias checks to ensure fairness across our team structures. Oversee monthly personnel costs, taking responsibility for budgeting, forecasting, and acting as the central interface to our Corporate Controlling team. Spearhead and support operational and strategic special projects in close collaboration with HR Business Partners and Operations (e.g., time tracking optimization, on-call models). Your Profile Bring proven experience building automated workflows and connecting systems, ideally using tools like Make or similar automation platforms. Demonstrate a strong track record in data analytics, with deep experience to build interactive dashboards, optimize data flows, and track core business KPIs. Experience in implementing AI applications (such as Gemini) to optimize and automate daily processes. Possess several years of experience as an HR Analyst, Business Analyst, Data Analyst, or in a similar highly quantitative, data-driven role. Communicate effectively with the unique ability to translate complex data sets into clear, actionable insights for both operational teams and finance units. Apply a highly structured, solution-oriented approach with the independence to own projects from concept to execution. Speak and write fluently in English. Nice-To-Haves Bring professional fluency in German to easily collaborate with local stakeholders and navigate local frameworks. Show prior experience tracking HR KPIs Familiarity with HRIS environments. What We Offer Our employees matter to us: We offer you a permanent contract and cover the costs for your BVG or Deutschland ticket. Work-life balance: 29 vacation days plus additional days off on the 24th and 31st December, flexible working hours, up to three days of working from home per week and the possibility of a paid sabbatical. flaconi Academy: Actively shape your own career path by taking advantage of our internal and external training opportunities. We care about your well being: We want to support you also during difficult times. For this, we offer you and your close relatives counseling sessions with mental health professionals. flaconi fitness: a wide range of sports options & discounts on memberships. Family first: Our “emergency-daycare” is there for you in out-of-the-ordinary situations to look after your child on site at our office. Thinking about tomorrow together: flaconi subsidizes your savings contribution to the company pension scheme with an additional 20%. A comfortable working space with everything you need: High end technical equipment, fruits and drinks, no dress code and dogs are welcome in our office! Other perks: Great discounts in our online shop as well with our partner companies, cool team events & company parties! Check out all benefits HERE. Founded in 2011 as one of the first online perfumeries, flaconi is honored to work with more than 700 people from 60 different nations at the flaconi headquarters in Berlin-Charlottenburg and its fulfillment center in Halle. Shape our company’s success with us and apply now online! We look forward to receiving your complete application documents including your earliest starting date and salary expectations.flaconi will not accept unsolicited resumes from any source (e. g. recruitment agency) other than directly from a candidate. The offered salary will always be within this range and is based on the outcomes of the recruitment process. Salary range (annual brutto) €61.800—€75.000 EUR", "summaryDescription" : "Senior HR Analytics & Automation Manager at flaconi", "postedDate" : "2026-06-15T23:23:39.132", "createdAt" : "2026-06-15T23:23:39.132", "lastUpdated" : "2026-06-16T05:18:48.109", "ingestTimestamp" : "2026-06-15T23:23:39.132", "mongoId" : "6a305abbf292fd229cf54e84", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305abef292fd229cf54ff8", "title" : "Commercial Strategy and Analytics Manager", "company" : "Datavant", "industry" : "FinTech", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Manager in Healthcare in the United States, adjusted for seniority and remote work." }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "certifications" : [ "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "timestamp" : "2026-06-16T10:08:43.558", "fingerprint" : "ae591e867672128ba2c968e9dc7e6a96f51c6d371508a188590130a04366d149", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.datavant.com/about/careers/open-roles/job?gh_jid=5247280008", "externalId" : "5247280008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceLevel" : "Manager", "technicalSkills" : "Python, R, MATLAB, SQL, Bloomberg Terminal, Reuters Eikon, FactSet, Murex, Calypso", "professionalSkills" : [ "Financial modeling", "Portfolio management", "Risk assessment", "Quantitative analysis" ], "hardSkillsList" : [ "Financial analysis", "Data analysis", "Statistical modeling" ], "hardSkills" : [ { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" } ], "majorSkills" : "Financial instruments, Risk methodologies, Regulatory frameworks", "majorSkillsList" : [ "Financial instruments", "Risk methodologies", "Regulatory frameworks" ], "coreResponsibilities" : "Analyze financial data, Develop analytical models, Monitor market trends, Assess financial risks, Ensure regulatory compliance, Prepare financial reports, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Stakeholder engagement", "domainKnowledge" : "Financial instruments; Banking; Investment management; Trading; Risk management; Compliance; Insurance; Fintech; Accounting; SOX; Basel III/IV; MiFID II; Dodd-Frank; FINRA; SEC; FCA; GDPR; AML/KYC; Equities; Fixed income; Derivatives; Options; Futures; Swaps; FX; Structured products; Private credit; VaR; CVaR; Stress testing; Monte Carlo; Factor models; Credit scoring", "domainList" : [ "financial-instruments", "banking", "investment-management", "trading", "risk-management", "compliance", "insurance", "fintech", "accounting", "sox", "basel-iii-iv", "mifid-ii", "dodd-frank", "finra", "sec", "fca", "gdpr", "aml-kyc", "equities", "fixed-income", "derivatives", "options", "futures", "swaps", "fx", "structured-products", "private-credit", "var", "cvar", "stress-testing", "monte-carlo", "factor-models", "credit-scoring" ], "domainSpecificKnowledge" : [ "Financial instruments", "Banking", "Investment management", "Trading", "Risk management", "Compliance", "Insurance", "Fintech", "Accounting", "SOX", "Basel III/IV", "MiFID II", "Dodd-Frank", "FINRA", "SEC", "FCA", "GDPR", "AML/KYC", "Equities", "Fixed income", "Derivatives", "Options", "Futures", "Swaps", "FX", "Structured products", "Private credit", "VaR", "CVaR", "Stress testing", "Monte Carlo", "Factor models", "Credit scoring" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "communicationSkills" : "Report writing; Presentation skills", "documentationSkills" : "Financial reporting; Regulatory documentation", "problemSolvingSkills" : "Analytical skills; Problem-solving", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. What We’re Looking For What You Will Do OPTIONAL: What a Typical Day Looks Like What You Need to Succeed OPTIONAL: What Helps You Stand Out What We Offer To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren’t even able to see whether you’ve responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the ‘Interview Accommodation Request’ category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.", "summaryDescription" : "Commercial Strategy and Analytics Manager at Datavant. Skills: Financial instruments, Risk methodologies, Regulatory frameworks. Analyze financial data. Develop analytical models", "postedDate" : "2026-06-15T23:22:22.690", "createdAt" : "2026-06-15T23:22:22.690", "lastUpdated" : "2026-06-16T10:08:43.558", "ingestTimestamp" : "2026-06-15T23:22:22.690", "mongoId" : "6a305abef292fd229cf54ff8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Financial analysis", "Data analysis", "Statistical modeling", "Financial instruments", "Risk methodologies", "Regulatory frameworks", "Financial modeling", "Portfolio management", "Risk assessment", "Quantitative analysis", "Banking", "Investment management", "Trading", "Risk management", "Compliance", "Insurance", "Fintech", "Accounting", "SOX", "Basel III/IV", "MiFID II", "Dodd-Frank", "FINRA", "SEC", "FCA", "GDPR", "AML/KYC", "Equities", "Fixed income", "Derivatives", "Options", "Futures", "Swaps", "FX", "Structured products", "Private credit", "VaR", "CVaR", "Stress testing", "Monte Carlo", "Factor models", "Credit scoring", "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA", "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "skillCount" : 55, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "69fc49a74c40e2acd1a83415", "title" : "Marketing Analytics Manager", "company" : "Hyundai Capital America", "industry" : "Banking", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Marketing Analytics Manager in Irvine, United States, adjusted for manager seniority and the financial services industry." }, "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "
Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "timestamp" : "2026-06-16T01:10:37.668", "fingerprint" : "c35d7cf58f4ab7b173b8df7adcd895b6d248695c9107c0bcfedc37096b8d1ae2", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=114905", "externalId" : "114905", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 3 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. We Take Care of Our People Along with competitive pay, as an employee of HCA, you are eligible for: ·        Medical, dental, and vision plans with no-cost and low-cost options ·        Annual employer HSA contribution ·        401(k) matching and immediate vesting ·        Vehicle purchase and lease discounts, plus monthly vehicle allowances by job level: o    Associate / Sr. Associate: $350 o    Manager / Sr. Manager: $600 o    Director: $800 o    Executive Director: $900 o    VP or Above: $1,000 ·        100% employer-paid life and disability insurance ·        No-cost health and wellbeing programs, including a gym benefit ·        Six weeks of paid parental leave ·        Paid Volunteer Time Off, plus a company donation to a charity of your choice What to Expect The Marketing Analytics Manager is responsible for delivering actionable insights that drive lifecycle marketing effectiveness, personalization, and performance optimization across owned digital channels. This role partners closely with Marketing, Digital, Product, Finance, and OEM stakeholders to translate complex data into actionable insights that improve customer acquisition, retention, and lifetime value. What You Will Do 1.      Cross ‑ Platform Marketing Analytics & Insights ·        Lead and execute end ‑ to ‑ end measurement strategies for digital marketing programs, across Salesforce Marketing Cloud and Adobe Experience Cloud. ·        Define and manage KPIs, dashboards, and scorecards for lifecycle marketing, including conversion, retention, renewal, and cross ‑ sell. ·        Analyze campaign performance to identify optimization opportunities and inform ongoing digital marketing strategies. 2.      Journey Analytics & Attribution ·        Analyze end ‑ to ‑ end customer journeys by integrating Adobe behavioral data with Salesforce campaign and journey execution data. ·        Design and manage attribution models (e.g., multi ‑ touch, data ‑ driven) to assess marketing impact across channels and touchpoints. ·        Apply advanced analytics techniques (segmentation, cohort analysis, LTV modeling, propensity scoring) to support targeting and personalization strategies. ·        Align Adobe Analytics data with Salesforce Marketing Cloud reporting to quantify marketing impact and downstream financial outcomes. ·        Partner with marketing and UX teams to optimize journey design, cadence, messaging, and experience strategy. 3.      Data & Marketing Technology Enablement ·        Partner with experience teams to ensure reliable data pipelines across platforms such as CRM, web analytics, media platforms, and enterprise data warehouses. ·        Serve as an analytics stakeholder in marketing technology initiatives (e.g., Salesforce, Adobe, CDPs). ·        Ensure analytics solutions scale across multiple brands, products, and OEM requirements. 4.      Cross ‑ Functional & Executive Partnership ·        Translate complex cross ‑ platform data into clear insights, narratives, and recommendations tailored to executive, marketing, and operational audiences. ·        Support marketing investment decisions, lifecycle strategy, and digital experience optimization efforts. ·        Support strategic initiatives such as new product launches, dealer programs, UX enhancements, and digital transformation efforts. ·        Act as a trusted advisor to marketing leadership on performance trends, risks, and investment decisions. What You Will Bring ·        Minimum 5-7 years of progressive experience in marketing analytics, digital analytics, or CRM analytics. ·        Experience with Salesforce and Adobe technology stacks. ·        Experience with content marketing, email marketing, and SEO marketing. ·        Automotive or financial services industries preferred. ·        Bachelor’s degree in Marketing, Analytics, Business, Statistics or related discipline. ·        Salesforce or Adobe certification(s) a plus. ·        MBA a plus. ·        Strong working knowledge of Salesforce Marketing Cloud, including customer data activation, journey performance, segmentation effectiveness, and attribution across channels. ·        SQL proficiency with the ability to query, join, and analyze large datasets across enterprise data warehouses and marketing platforms. ·        Exceptional attention to detail and quality. ·        Ability to work autonomously and in a team environment. ·        Excellent verbal and written communication, including presentation skills. ·        Excellent interpersonal skills to successfully collaborate with cross functional departments. ·        Strong orientation toward results coupled with reputation for integrity, creativity and good judgment ·        Must have the ability to challenge, when appropriate, existing practices. ·        Proficient in Microsoft 365 Suite (Word, Excel, PowerPoint, Outlook, Teams, Copilot). Work Environment Employees in this class are subject to extended periods of sitting, standing, and walking, vision to monitor and moderate noise levels. Work is performed in an at home and office environment. The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . United States-California-Irvine", "summaryDescription" : "Marketing Analytics Manager at Hyundai Capital America", "createdAt" : "2026-06-14T19:48:31.205", "lastUpdated" : "2026-06-16T01:10:37.668", "ingestTimestamp" : "2026-06-14T19:48:31.205", "mongoId" : "69fc49a74c40e2acd1a83415", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "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" : "6a3066edf292fd229cfb7590", "title" : "Senior Manager, People Analytics & Insights", "company" : "SageSure", "industry" : "Insurance", "salary" : { "min" : 158000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Manager, People Analytics & Insights in Chicago, IL, adjusted for the insurance industry and company size." }, "location" : "Chicago, Illinois, United States", "locations" : [ "Chicago", "Illinois", "United States", "Jersey City", "New Jersey", "United States" ], "timestamp" : "2026-06-16T09:14:34.118", "fingerprint" : "059160d9a661f303c62c7734a96c5e303739bbb36d14035a7480c7f14929b38a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.sagesure.com/careers/current-job-openings/?gh_jid=4686395006", "externalId" : "4686395006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "experienceLevel" : "Manager", "rawDescription" : "Overview: SageSure is seeking a Senior Manager, People Analytics and Insights to build and scale a modern analytics capability within the People function. This role reports to the Director, People Strategy and Operations. This role is responsible for establishing foundational reporting, defining key workforce metrics, and delivering insights that inform strategic decision-making for our business leaders. You will operate as a hands-on builder, creating structure from fragmented data and evolving capabilities over time, including increased automation and more advanced approaches where sensible (e.g., AI-enabled analytics). You will partner closely with People leadership, People Systems, FP Mountain View, CA; Cheshire, CT; Jacksonville, FL; Tallahassee, FL; Tampa, FL; Chicago, IL; Jersey City, NJ; Marlton, NJ; Cincinnati, OH; Houston, TX; Sheboygan, WI—who are tackling the industry’s toughest challenges.     SageSure is a proud Equal Opportunity Employer committed to building a workforce that reflects the spectrum of perspectives, experiences, and abilities of the world we live in. We recognize that our differences make us strong, and we actively seek out diverse candidates through partnerships with organizations, institutions and communities that represent various backgrounds. We champion belonging and inclusion for all identities, including, but not limited to, race, ethnicity, religion, sexual orientation, age, veteran status, ability status, gender, and country of origin, striving to create a culture where all individuals feel valued, respected, and empowered to bring their authentic selves to work. Our nimble, highly responsive culture nurtures critical thinkers who run toward problems and engineer solutions. We relentlessly pursue better outcomes by investing in the technology, talent, and tools that position us to succeed in demanding markets. Come join our team! Visit sagesure.com/careers to find a position for you. California Applicants: View SageSure’s Workforce Members’ Privacy Notice - CA Privacy Policy & Notice of Collection", "summaryDescription" : "Senior Manager, People Analytics & Insights at SageSure", "postedDate" : "2026-06-15T23:26:53.892", "createdAt" : "2026-06-15T23:26:53.892", "lastUpdated" : "2026-06-16T09:14:34.118", "ingestTimestamp" : "2026-06-15T23:26:53.892", "mongoId" : "6a3066edf292fd229cfb7590", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 158000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305abef292fd229cf54ff9", "title" : "Commercial Strategy and Analytics Manager", "company" : "Datavant", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Healthcare industry in the United States, adjusted for seniority and company size." }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-16T08:30:37.574", "fingerprint" : "35bff4604600380506ad472704ca6695e1cda3711a8c2e1bbb9ad61fb38f258e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.datavant.com/about/careers/open-roles/job?gh_jid=5247278008", "externalId" : "5247278008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. What We’re Looking For: As the Commercial Strategy and Analytics Manager at Datavant, you will play a crucial role within our Commercial Operations team. Your primary responsibility will be to support the transformation of the commercial organization through customer segmentation, go to market models design, sales strategy, and customer analytics. Your role requires a strong technical background, excellent analytical skills, and the ability to collaborate effectively in a fast-paced environment. What You Will Do: Drive commercial strategy through: Commercial analytics, executive reporting, and market insights that identify growth opportunities, client trends, and areas of strategic focus Building scalable dashboards, performance metrics, and account intelligence frameworks that support commercial decision-making across Client Success and cross-functional stakeholders Analyzing and synthesizing market, client, adoption, and revenue data to deliver actionable insights and forward-looking business recommendations Conducting market sizing, segmentation, whitespace, and competitive analysis to support strategic planning and prioritization Help refine and scale commercial operations by: Partnering cross-functionally with Client Success, Sales, Finance, Product, Business Intelligence, and Data teams to improve alignment across forecasting, planning, and commercial priorities Designing and operationalizing standardized reporting, analytics frameworks, and planning methodologies that improve consistency and scalability across teams Driving adoption and enablement of dashboards, tools, and analytics capabilities to improve visibility, decision-making, and execution Continuously improving reporting workflows, data quality, and insight delivery processes to support operational efficiency and business impact Improve commercial planning and business performance by: Supporting forecasting and demand planning processes through accurate, insight-driven analytics and standardized inputs Monitoring commercial performance trends, client engagement signals, and revenue pacing to proactively identify risks and opportunities Developing methodologies and tracking mechanisms that measure business performance, account health, and strategic progress Translating analytics into clear recommendations and action plans that support client growth, commercial performance, and operational priorities What You Need to Succeed: Bachelor’s degree in Business, Analytics, Information Technology, Economics, Engineering, or a related field; 15 years of equivalent experience will be considered in lieu of Bachelor’s degree Minimum of 7 years of experience in commercial strategy, business intelligence, revenue operations, analytics, management consulting, or a related role Experience supporting commercial planning, forecasting, account strategy, client success operations, and/or revenue performance initiatives Strong analytical skills with experience interpreting commercial, client, operational, and financial data to drive business decisions and strategic recommendations Experience developing dashboards, reporting frameworks, and performance metrics that support executive decision-making Proven ability to synthesize complex data into clear insights, action plans, and business recommendations Strong understanding of forecasting methodologies, commercial performance tracking, and operational planning processes Experience partnering cross-functionally with proven ability to influence stakeholders and drive alignment across teams in a fast-paced environment Strong project management, communication, and execution skills with the ability to manage multiple high-priority initiatives simultaneously Experience improving operational processes, reporting workflows, and analytics adoption across organizations What Helps You Stand Out: Master’s Degree in relevant field We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $120,000—$140,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren’t even able to see whether you’ve responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the ‘Interview Accommodation Request’ category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.", "summaryDescription" : "Commercial Strategy and Analytics Manager at Datavant", "postedDate" : "2026-06-15T23:23:23.617", "createdAt" : "2026-06-15T23:23:23.617", "lastUpdated" : "2026-06-16T08:30:37.574", "ingestTimestamp" : "2026-06-15T23:23:23.617", "mongoId" : "6a305abef292fd229cf54ff9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "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. 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Presentation skills", "documentationSkills" : "Financial reporting", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "6+ years experience", "qualificationsPreferred" : "CFA charterholder preferred, MBA preferred, Master's degree preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "RESPONSIBILITIES: - - Partner with FP&A on topline forecasting, ensuring assumptions are grounded in operational reality and core business drivers are clearly defined and measurable. - Improve the structure, consistency, and scalability of planning processes across budget, rolling forecast, and long-range planning. - Establish clear frameworks for pacing and variance analysis that increase organizational accountability and improve forecast precision over time. - Translate complex business dynamics into structured, decision-oriented insights for senior leadership. - Partner with Growth and Marketing to ensure initiative-level forecasts align to company targets and reflect sound financial logic. - Build thoughtful business cases for incremental investments and initiatives, grounded in disciplined, data-driven tradeoff analysis. - Help leadership understand the financial implications of strategic decisions - balancing short-term performance with long-term value creation. - Design and institutionalize scalable planning frameworks that improve accuracy and reduce friction across teams. QUALIFICATIONS: - - 6+ years of experience in Financial Analytics, Strategic Finance, Growth Analytics, or a similarly rigorous role within a subscription, DTC, or consumer technology business. - Strong financial modeling skills; comfortable building and refining driver-based forecasts that support executive planning. - Demonstrated ability to deeply understand business models and connect operational drivers to financial outcomes. - Strong track record building business cases and evaluating strategic tradeoffs using structured analytical frameworks. - High bar for analytical integrity and a bias toward accuracy over narrative. - Advanced SQL proficiency required; experience working with complex data models in Snowflake, dbt, or similar environments preferred. - Strong executive presence; able to defend assumptions and recommendations clearly and confidently. - Proven ability to align stakeholders with differing priorities around shared, data-driven conclusions. - Self-starter with a player-coach mentality - equally comfortable shaping strategy and diving deep into the underlying data and models. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $150,000 - $180,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.", "summaryDescription" : "Business Analytics Manager (Finance) at WHOOP. Skills: Financial analysis, Quantitative modeling, Risk assessment. Develop financial models. 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Product stakeholders; Cross-functional alignment; Data Science; Data Engineering", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Marketplace analytics; E-commerce analytics; Grocery analytics; Retail analytics; Federated data architecture; Semantic layer; Metrics layer; AI for Data", "domainList" : [ "marketplace-analytics", "e-commerce-analytics", "grocery-analytics", "retail-analytics", "federated-data-architecture", "semantic-layer", "metrics-layer", "ai-for-data" ], "domainSpecificKnowledge" : [ "Marketplace analytics", "E-commerce analytics", "Grocery analytics", "Retail analytics", "Federated data architecture", "Semantic layer", "Metrics layer", "AI for Data" ], "communicationSkills" : "Influencing", "qualificationsBasic" : "Significant experience in Analytics Engineering, BI Engineering, or Data Engineering leadership, Hands-on SQL foundations, Proven experience managing managers and ICs, Track record of developing people managers, Own a multi-quarter technical roadmap, Manage teams across multiple business domains, Technical grounding across modern AE stack, Engage credibly on architecture decisions, Step in hands-on when needed, Confident engaging and influencing at Director/VP level, Experience aligning analytics investment to business priorities", "qualificationsPreferred" : "Experience in marketplace, e-commerce, grocery or retail analytics, Familiarity with federated data architecture patterns, Familiarity with semantic and metrics layer tooling, Python for data automation and pipeline work, Exposure to AI for Data, Experience contributing to analytics organisational design", "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 a Senior 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 help us scale our Analytics Engineering capability across multiple business domains, leading the teams that build the data products and metrics that power decisions across some of our most important business areas. 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 several important business domains, managing multiple AE Managers and their teams. As well as running these teams, you will help shape AE standards, culture and direction across the wider org. WHAT YOU'LL BE DOING - Lead multiple analytics engineering teams across several business domains, managing the AE Managers who run them and owning performance, development and wellbeing across the org. - Own the mid-to-long-term AE roadmap across your domains, identifying the highest-leverage investments and building the case for them with senior business and product stakeholders - Contribute to AE-wide decisions on tooling, architecture, standards and process, helping shape how Analytics Engineering works at Deliveroo beyond your immediate teams - Drive a data products mindset across your estate: clear ownership, SLAs, observability and data contracts built into how your teams work by default - Coach and develop the AE Managers in your org, supporting them through performance, motivation, and team health challenges, while fostering a culture of technical rigour and continuous improvement across your teams - Partner with Recruiting to hire strong, diverse AE talent across your domains WHAT YOU'LL NEED TO THRIVE ESSENTIAL - Significant experience in an Analytics Engineering, BI Engineering, or Data Engineering leadership role, with hands-on SQL foundations you still draw on - Proven experience managing managers as well as ICs, with a track record of developing the people managers in your org - Demonstrated ability to own a multi-quarter technical roadmap and manage teams across multiple business domains in a matrixed environment, with measurable business impact - Strong technical grounding across the modern AE stack (cloud data warehousing, transformation tooling, data modelling, and data quality practices), with the ability to engage credibly on architecture decisions and step in hands-on when needed - Confident engaging and influencing at Director/VP level, with experience aligning analytics investment to business priorities NICE TO HAVE - Experience in a marketplace, e-commerce, grocery or retail analytics context - Familiarity with federated data architecture patterns, semantic and metrics layer tooling, or Python for data automation and pipeline work - Exposure to or research of AI for Data, including semantic layers and pipeline development processes - Experience contributing to analytics organisational design: team structure, R&R boundaries and cross-functional alignment between AE, Data Science, and Data Engineering 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" : "Senior Analytics Engineering Manager at Deliveroo. Skills: Analytics Engineering, Team leadership, Roadmap planning. Lead analytics engineering teams. Manage AE Managers", "createdAt" : "2026-06-14T18:12:16.175", "lastUpdated" : "2026-06-16T01:25:30.987", "ingestTimestamp" : "2026-06-14T18:12:16.175", "mongoId" : "6a2c683e74d8ee00a0902bcc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Analytics Engineering", "BI Engineering", "Data Engineering", "SQL", "Data warehousing", "Transformation tooling", "Data modelling", "Data quality practices", "Team leadership", "Roadmap planning", "Stakeholder management", "People management", "Technical architecture", "Data quality", "Recruiting", "Marketplace analytics", "E-commerce analytics", "Grocery analytics", "Retail analytics", "Federated data architecture", "Semantic layer", "Metrics layer", "AI for Data" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6b8774d8ee00a091310d", "title" : "People Analytics Manager", "company" : "Flora Food Group", "industry" : "Food & Beverage", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in People Analytics in Bengaluru, India, adjusted for the Food & Beverage industry and Flora Food Group's likely company size." }, "location" : "Bengaluru, Karnataka, India", "locations" : [ "Bengaluru", "Karnataka", "India" ], "timestamp" : "2026-06-15T07:18:35.520", "fingerprint" : "a89d7d8f24962c0e52d100a41131abdb66e71fe7440e7e11f1068c4c667c55d7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.florafoodgroup.com/careers/join-flora-food-group/8578749002?gh_jid=8578749002", "externalId" : "8578749002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : 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"Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data quality management", "Data privacy compliance", "GDPR compliance" ], "softSkillsList" : [ "Leadership", "Critical thinking" ], "hardSkills" : [ { "name" : "People analytics", "level" : "intermediate" }, { "name" : "HR reporting", "level" : "intermediate" }, { "name" : "Workforce analytics", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Data quality management", "level" : "intermediate" }, { "name" : "Data privacy compliance", "level" : "intermediate" }, { "name" : "GDPR compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Critical thinking" } ], "majorSkills" : "People analytics, HR reporting, Data visualization, Stakeholder management", "majorSkillsList" : [ "People analytics", "HR reporting", "Data visualization", "Stakeholder management" ], "coreResponsibilities" : "Own global people analytics delivery, Own global reporting delivery, Own global dashboards delivery, Own ad hoc analysis delivery, Develop meaningful insights, Support workforce planning, Support talent decisions, Support performance analysis, Support engagement analysis, Support diversity analysis, Support organisational effectiveness analysis, Present trends to senior leaders, Present risks to senior leaders, Present opportunities to senior leaders, Present recommendations to senior leaders, Translate complex data into narratives, Design Power BI dashboards, Build Power BI dashboards, Maintain Power BI dashboards, Ensure reporting accuracy, Ensure reporting scalability, Ensure reporting user-friendliness, Align reporting to business priorities, Drive adoption of analytics tools, Drive adoption of self-service reporting, Lead evolution of reporting products, Own global reporting standards, Own global metrics definitions, Own global governance frameworks, Ensure people data accuracy, Ensure people data security, Ensure people data privacy compliance, Resolve data quality issues, Improve data integrity, Manage access controls, Manage governance processes, Act as primary point of contact, Build relationships across HR, Build relationships across Finance, Build relationships across Digital, Build relationships across Data teams, Challenge assumptions, Identify opportunities, Support senior stakeholders, Communicate data limitations, Communicate governance standards, Communicate reporting methodologies, Drive automation of reporting processes, Reduce manual effort, Explore new tools, Explore new methodologies, Explore new visualisation techniques, Lead external development partners, Ensure delivery quality, Ensure alignment to business requirements, Partner with HRIT, Partner with Data Analytics teams, Partner with Automation teams, Ensure analytics architecture alignment, Ensure systems architecture alignment, Ensure data architecture alignment, Manage third-party providers, Manage external developers, Manage delivery partners", "teamCollaboration" : "Partner with HRIT; Partner with People & Organisation leaders; Partner with HR Business Partners; Partner with Finance; Partner with Digital teams; Partner with Data teams; Partner with HR; Partner with Data Analytics teams; Partner with Automation teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "People analytics; HR technology; Workforce analytics; Talent management; Organizational effectiveness; Data privacy; GDPR", "domainList" : [ "people-analytics", "hr-technology", "workforce-analytics", "talent-management", "organizational-effectiveness", "data-privacy", "gdpr" ], "domainSpecificKnowledge" : [ "People analytics", "HR technology", "Workforce analytics", "Talent management", "Organizational effectiveness", "Data privacy", "GDPR" ], "toolProficiency" : [ "Power BI", "SuccessFactors", "Greenhouse" ], "communicationSkills" : "Presenting dashboards; Presenting recommendations; Presenting data-driven stories; Clear communication; Succinct communication", "continuousLearning" : "Continuous improvement mindset", "innovationCreativity" : "Explore new tools; Explore new methodologies; Explore new visualisation techniques", "problemSolvingSkills" : "Problem solving", "outcomesObjectives" : "Shape the future of people analytics; Enable leaders make better decisions", "qualificationsBasic" : "Proven experience in people analytics, Proven experience in HR reporting, Proven experience in workforce analytics, Proven experience in data-focused roles, Hands-on experience designing dashboards, Hands-on experience developing dashboards, Experience owning end-to-end reporting products, Experience delivering insights to senior stakeholders, Advanced Excel skills, Understanding of data structures, Understanding of governance, Understanding of reporting standards, Ability to work effectively with technical audiences, Ability to work effectively with non-technical audiences", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Specific ML framework experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Turn people data into business insight — shaping workforce decisions, enabling leaders, and building the analytics capability that powers Flora Food Group globally. Position: People Analytics Manager Location: Bengaluru, India, Hybrid About the position As People Analytics Manager, you will own Flora Food Group's global people analytics, reporting, and insight capability. Reporting to the HR Information Technology Lead, this is a highly visible role operating across the global People & Organisation function. You will be responsible for ensuring our people data is trusted, accessible, secure, and transformed into meaningful insight that supports workforce planning, talent decisions, organisational effectiveness, and business performance. You will partner closely with HRIT, People & Organisation leaders, HR Business Partners, Finance, Digital, and Data teams to deliver world-class analytics products and dashboards. Beyond reporting, you will act as a trusted advisor to senior stakeholders, helping them understand the story behind the data and enabling better decision-making. This role combines technical expertise, stakeholder management, data governance, and leadership. You will oversee external development resources, drive continuous improvement, and play a critical role in shaping the future of people analytics across Flora Food Group. Key responsibilities include: People Analytics & Insights Own the delivery of global people analytics, reporting, dashboards, and ad hoc analysis. Develop meaningful insights that support workforce planning, talent, performance, engagement, diversity, and organisational effectiveness. Present trends, risks, opportunities, and recommendations to senior leaders in a clear and actionable way. Translate complex data into business-focused narratives that support decision-making. Dashboard Development & Reporting Design, build, and maintain Power BI dashboards and reporting products. Ensure reporting outputs are accurate, scalable, user-friendly, and aligned to business priorities. Drive adoption of analytics tools and self-service reporting across the People & Organisation function. Lead the evolution of core reporting products, ensuring they remain relevant and future-focused. Data Governance & Quality Own global reporting standards, metrics, definitions, and governance frameworks. Ensure people data is accurate, secure, and compliant with data privacy requirements, including GDPR. Partner with HRIT and operational teams to resolve data quality issues and improve data integrity. Manage access controls and governance processes across reporting platforms. Stakeholder Partnership Act as the primary point of contact for people analytics and reporting globally. Build strong relationships across HR, Finance, Digital, and Data teams. Challenge assumptions, identify opportunities, and support senior stakeholders with data-led recommendations. Communicate clearly around data limitations, governance standards, and reporting methodologies. Continuous Improvement & Innovation Drive automation of reporting processes and reduce manual effort. Explore new tools, methodologies, and visualisation techniques to improve insight generation. Lead external development partners, ensuring delivery quality and alignment to business requirements. Partner with HRIT, Data Analytics, and Automation teams to ensure analytics, systems, and data architecture remain aligned. So, what does it take to be successful in this role? We're looking for a highly analytical, commercially minded, and stakeholder-focused data professional who can combine technical expertise with strong business partnering skills. People Analytics & Reporting Expertise Proven experience in people analytics, HR reporting, workforce analytics, or data-focused roles. Strong hands-on experience designing and developing dashboards using Power BI or similar visualisation tools. Experience owning end-to-end reporting products and delivering insights to senior stakeholders. Data & Systems Capability Strong understanding of modern HR technology landscapes, including systems such as SuccessFactors, Greenhouse, and related platforms. Knowledge of APIs, integrations, cloud-based data platforms, and data warehousing concepts. Advanced Excel skills and strong understanding of data structures, governance, and reporting standards. Ability to work effectively with technical and non-technical audiences. Stakeholder Management & Communication Exceptional partnering skills with the confidence to engage senior stakeholders. Ability to simplify complex information and communicate insight clearly and succinctly. Comfortable presenting dashboards, recommendations, and data-driven stories to leadership teams. Strong empathy and influencing skills, with the ability to challenge constructively and hold stakeholders accountable. Leadership & Personal Attributes Experience managing third-party providers, external developers, or delivery partners. Highly organised, self-reliant, and capable of managing competing priorities independently. Naturally curious, with a continuous improvement mindset and passion for solving problems. Strong ownership mentality with a focus on quality and delivery. What’s next? If you're ready to shape the future of people analytics at Flora Food Group and help leaders make better decisions through trusted data and meaningful insight, we'd love to hear from you. Application Deadline: 26th June 2026 For questions, you can reach out to Richard Hodgson, Talent Acquisition, via WhatsApp at +44(0)7884 603 724 or email at richard.hodgson@florafg.com We understand your resume might not be up to date and recommend that you apply with what you have or your LinkedIn Profile. Flora Food Group is dedicated to building an inclusive and diverse workplace, we understand that you might not meet all the requirements stated in the description, but we encourage you to apply anyway. You might be the right candidate for this role or other roles.  Flora Food Group is an employer committed to diversity and inclusion in the workplace and equal opportunities for all. We recruit based only on values, qualifications, performance, skills, behaviours, experience, and knowledge. We ensure job advertisements are free from unintentional bias. No personal characteristics should be a barrier to joining Flora Food Group. We prohibit discrimination and harassment based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or other personal characteristics.", "summaryDescription" : "People Analytics Manager at Flora Food Group. Skills: People analytics, HR reporting, Data visualization, Stakeholder management. Own global people analytics delivery. Own global reporting delivery", "postedDate" : "2026-06-13T20:57:39.601", "createdAt" : "2026-06-13T20:57:39.601", "lastUpdated" : "2026-06-15T07:18:35.520", "ingestTimestamp" : "2026-06-13T20:57:39.601", "mongoId" : "6a2c6b8774d8ee00a091310d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "People analytics", "HR reporting", "Workforce analytics", "Data analysis", "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data quality management", "Data privacy compliance", "GDPR compliance", "Leadership", "Critical thinking", "Data visualization", "Stakeholder management", "Business insight", "Workforce planning", "Talent decisions", "Organisational effectiveness", "Business performance", "Data governance", "Continuous improvement", "Business partnering", "Commercial acumen", "Roadmap planning", "HR technology", "Talent management", "Organizational effectiveness", "Data privacy", "GDPR", "Power BI", "SuccessFactors", "Greenhouse" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307956f292fd229c031713", "title" : "Business Analytics Senior Manager (Product, Healthcare)", "company" : "WHOOP", "industry" : "Business Intelligence & Analytics", "salary" : { "min" : 170000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, MA", "locations" : [ "Boston, MA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:47:07.937", "fingerprint" : "fc7d27a0914d43ce8d8110918428eee5ce9b1ff7653395b55a4d56b926fb51ae", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/whoop/fe6496d7-3e80-4321-9463-e0b4d57ed2c5/application", "externalId" : "fe6496d7-3e80-4321-9463-e0b4d57ed2c5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Product analytics", "Business intelligence", "Data engineering", "Machine learning", "Statistical modeling", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data modeling", "Statistical analysis", "Machine learning models", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning models", "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 execute data science strategies, Build and maintain data pipelines, Design and implement ML models, Develop BI dashboards and reports, Conduct advanced statistical analysis, Perform A/B testing and causal inference, Collaborate with product teams, Mentor junior analysts", "teamCollaboration" : "Product teams; Engineering teams; Data science teams", "domainKnowledge" : "Healthcare data", "domainList" : [ "healthcare-data" ], "domainSpecificKnowledge" : [ "Healthcare data" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Executive presentations; Technical documentation", "documentationSkills" : "Technical writing; Architecture diagrams", "problemSolvingSkills" : "Root cause analysis; Data-driven decision making", "qualificationsBasic" : "8+ years of experience, Bachelor's degree, SQL proficiency", "qualificationsPreferred" : "Master's degree or PhD, Experience with ML frameworks, Cloud platform certifications", "rawDescription" : "At WHOOP, we're on a mission to unlock human performance. 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. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.", "summaryDescription" : "Business Analytics Senior Manager (Product, Healthcare) at WHOOP. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and execute data science strategies. Build and maintain data pipelines", "createdAt" : "2026-06-16T01:59:48.701", "lastUpdated" : "2026-06-16T11:47:07.937", "ingestTimestamp" : "2026-06-16T01:59:48.701", "mongoId" : "6a307956f292fd229c031713", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data modeling", "Statistical analysis", "Machine learning models", "A/B testing", "Causal inference", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Product analytics", "Statistical modeling", "Quantitative analysis", "Healthcare data", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c8c8374d8ee00a0975b45", "title" : "Manager, Revenue Accounting & Analytics", "company" : "WHOOP", "industry" : "Finance", "salary" : { "min" : 100000.0, "max" : 140000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, MA", "locations" : [ "Boston, MA" ], "timestamp" : "2026-06-15T23:43:45.417", "fingerprint" : "27c4b854514b446d0302de4be7686bf9a906de99a010cb475e1f502b48cae39d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/whoop/77776050-6a3c-40b7-84c2-12f29634d833/application", "externalId" : "77776050-6a3c-40b7-84c2-12f29634d833", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. The Finance team at WHOOP is building a world-class accounting organization to support the company's rapid growth and long-term strategic ambitions. We are focused on scaling our processes, strengthening internal controls, and preparing the infrastructure needed for public company readiness. We are seeking a Manager, Revenue Accounting to join our accounting team and serve as a key operator within the revenue function. Reporting to the Director of Revenue and Inventory, this role will own the end-to-end revenue close for WHOOP's subscription, device, and services model, while bringing an analytics-forward lens to how revenue data is sourced, validated, and explained. Build scalable flows and dashboards to monitor completeness and accuracy between ERP and payment processor data, identify and investigate outliers, and drive greater transparency and control across the revenue reporting process. You will partner closely with Technical Accounting, FP&A, Data, Product, and Operations to ensure that revenue is recognized accurately under ASC 606, that judgments are operationalized into repeatable close processes, and that the underlying data tells a clear story to leadership and external auditors. This role is based in the WHOOP office located in Boston, MA, and follows a hybrid schedule. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. RESPONSIBILITIES: - - Own the monthly and quarterly revenue close, including journal entries, account reconciliations, deferred revenue waterfalls, with clear tie-outs to the financial statements. - Operationalize the company's ASC 606 conclusions into repeatable close procedures, including performance obligation tracking, allocation of transaction price, contract modifications, and variable consideration, ensuring judgments are consistently applied across systems and channels. - Build and maintain revenue and contract cost analytics, including cohorted deferred revenue waterfalls, amortization schedules under ASC 340-40, recoverability analyses, and channel-level margin views that reconcile to GAAP revenue. - Partner with Data Analytics and Engineering teams to design and monitor data integrity controls from source systems (orders, activations, refunds, billing platforms) through the revenue subledger to the GL, including completeness and accuracy checks and exception reporting. - Establish monitoring for revenue risk indicators (refund spikes, activation delays, reseller deductions, anomaly detection) and translate them into accounting impacts such as variable consideration estimates and constraints. - Partner with Technical Accounting on the assessment of new contracts, promotions, and go-to-market programs, providing data-driven input on the operational and analytical implications of proposed accounting positions. - Support quarterly reviews and annual audits by preparing reconciliations, waterfalls, and supporting documentation for significant judgments and estimates, and by responding to auditor inquiries on revenue and deferred revenue. - Drive process improvement and automation within the revenue function, identifying opportunities to enhance accuracy and efficiency through BI and AI tools. - Contribute to public company readiness by strengthening revenue controls, documentation, and reporting cadence in alignment with SEC and SOX expectations. QUALIFICATIONS: - - 5+ years of progressive revenue accounting experience, including a strong foundation in public accounting (Big 4 preferred) and experience in a revenue accounting role at a high-growth technology, subscription, or tech-enabled consumer company. Experience supporting revenue close in a multi-channel (DTC, wholesale, marketplace) environment strongly preferred. - Bachelor's degree in Accounting or Finance required; CPA strongly preferred. - Deep, hands-on expertise in ASC 606, including the five-step model, performance obligation identification, transaction price allocation, variable consideration, and principal vs. agent considerations in reseller and marketplace channels. - Working knowledge of ASC 340-40 contract cost capitalization and amortization, with the ability to build and defend supporting analytics, rollforwards, and recoverability assessments. - Strong track record of owning monthly revenue close, deferred revenue rollforwards, and cutoff testing, with audit-ready documentation and clear memos for significant judgments and estimates. - Experience supporting IPO readiness, SEC reporting, or public company revenue processes strongly preferred. - Experience with ERP systems (NetSuite, Oracle, or similar) required; experience with subscription billing platforms (Stripe, Recurly, or similar) strongly preferred. - Required Snowflake or comparable cloud data warehouses and BI tooling (, Tableau, or similar) to query, validate, and visualize large revenue datasets. Advanced Excel required; SQL strongly preferred. - Exceptional written and verbal communication skills, with the ability to translate complex revenue accounting concepts and data findings into clear, accessible narratives for non-technical stakeholders across Product, Data, Operations, and Legal. - Experience implementing AI-driven solutions or process automation (Make, n8n, Parabola or similar) within accounting or close workflows is a plus. - Strong alignment with WHOOP's mission and brand, with genuine energy for contributing to a high-growth, mission-driven organization. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $100,000 - $140,000. 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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Consulting", "industry" : "Consulting", "salary" : { "min" : 85000.0, "max" : 120000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Procurement Consulting in London, UK, adjusted for industry and company size." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "timestamp" : "2026-06-16T07:10:16.087", "fingerprint" : "49edcff30acd320e53227145b1549455e70a24aa3dc0dd9ba9d7e45e0d905ab0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.elixirr.com/careers/careers-listing/job/?gh_jid=7649162", "externalId" : "7649162", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", 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"Cost transformation", "Target operating models", "Commercial optimisation", "Strategic sourcing", "Category management", "Supplier strategy", "Source-to-pay processes", "Risk management" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Procurement strategy", "level" : "intermediate" }, { "name" : "Cost transformation", "level" : "intermediate" }, { "name" : "Target operating models", "level" : "intermediate" }, { "name" : "Commercial optimisation", "level" : "intermediate" }, { "name" : "Strategic sourcing", "level" : "intermediate" }, { "name" : "Category management", "level" : "intermediate" }, { "name" : "Supplier strategy", "level" : "intermediate" }, { "name" : "Source-to-pay processes", "level" : "intermediate" }, { "name" : "Risk management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Procurement strategy, Cost transformation, Target operating models, Commercial optimisation", "majorSkillsList" : [ "Procurement strategy", "Cost transformation", "Target operating models", "Commercial optimisation" ], "coreResponsibilities" : "Lead delivery of procurement engagements, Lead cost transformation engagements, Ensure high-quality outputs, Deliver within agreed timeframes, Motivate team members, Coach team members, Develop team members, Delegate tasks, Coordinate tasks, Take responsibility for engagement delivery, Manage risks proactively, Resolve issues as they arise, Act as primary client lead, Maintain client relationships, Maintain delivery momentum, Shape procurement strategy, Shape transformation programmes, Deliver procurement strategy, Deliver transformation programmes, Design procurement target operating models, Implement procurement target operating models, Design organisational design, Implement organisational design, Design governance, Implement governance, Design process optimisation, Implement process optimisation, Lead strategic sourcing development, Lead category strategy development, Drive cost reduction initiatives, Drive value creation initiatives, Balance savings with objectives, Develop business cases, Improve supplier performance management, Strengthen third-party risk management, Support implementation of digital procurement solutions, Build senior client relationships, Maintain senior client relationships, Deliver exceptional value, Facilitate workshops, Facilitate executive decision-making sessions, Facilitate cross-functional alignment forums, Influence stakeholders, Translate commercial challenges, Translate operational challenges, Solve complex procurement challenges, Structure unclear problems, Structure loosely defined problems, Develop tangible solutions, Get up to speed in new categories, Get up to speed in new industries, Lead discussions as expert, Identify commercial opportunities, Contribute to business development, Contribute to thought leadership, Contribute to capability building", "teamCollaboration" : "Small, high-performing teams; Cross-functional alignment forums; Senior client relationships; Executive leadership teams", "projectManagementSkills" : [ "Engagement delivery", "Risk management", "Issue resolution", "Project delivery" ], "domainKnowledge" : "Procurement; Cost transformation; Target operating models; Commercial optimisation; Sourcing; Category management; Supplier management; Operating model design; Digital procurement; Enterprise transformation; Source-to-pay; Contract lifecycle management; Risk management", "domainList" : [ "procurement", "cost-transformation", "target-operating-models", "commercial-optimisation", "sourcing", "category-management", "supplier-management", "operating-model-design", "digital-procurement", "enterprise-transformation", "source-to-pay", "contract-lifecycle-management", "risk-management" ], "domainSpecificKnowledge" : [ "Procurement", "Cost transformation", "Target operating models", "Commercial optimisation", "Sourcing", "Category management", "Supplier management", "Operating model design", "Digital procurement", "Enterprise transformation", "Source-to-pay", "Contract lifecycle management", "Risk management" ], "toolProficiency" : [ "Source-to-pay", "Contract lifecycle management", "Analytics tools" ], "communicationSkills" : "Adaptable communication style; Senior-level discussions; Executive presentations", "innovationCreativity" : "Innovation and growth hub", "problemSolvingSkills" : "Problem solving; Commercial problem solving; Complex procurement challenges; Ambiguity; Complexity", "outcomesObjectives" : "Driving exceptional outcomes", "qualificationsBasic" : "5-8 years experience in consulting, 5-8 years experience in industry procurement, Experience in procurement strategy, Experience in transformational change, Experience in target operating model design, Experience in operational excellence, Experience in strategic sourcing, Experience in category management, Experience in business case development, Experience in outsourcing strategy, Experience in supplier strategy, Understanding of end-to-end source-to-pay, Proven leadership experience managing teams, Proven experience delivering complex projects, Stakeholder management skills, Influencing skills, Experience facilitating workshops, Experience facilitating senior-level discussions, Adaptable communication style, Comfortable operating in ambiguity, Comfortable operating in complexity, High-quality delivery, Entrepreneurial mindset, Passion for value creation, Passion for continuous improvement, Flexible, Resilient, Confident personality, Engaging personality, Passion for commercial problem solving, Passion for value delivery, Accountability mindset, Ownership mindset, Self-awareness, Commitment to continual improvement, Ability to combine strategic thinking, Ability to combine hands-on execution, Rapidly mastering new categories, Rapidly mastering new industries, Leading with authority", "qualificationsPreferred" : "Procurement consulting manager experience", "remoteFriendly" : false, "rawDescription" : "Procurement Consulting Manager About Elixirr: Elixirr International plc is a global consulting firm with a bold ambition: to become the best consulting firm in the world. Founded in 2009 to challenge a declining industry standard, we’ve grown from a single vision into a powerhouse of entrepreneurial talent, delivering boardroom strategy through to execution. After IPO-ing on AIM in July 2020, Elixirr moved to the Main Market of the London Stock Exchange in July 2025. In that time, our market cap has grown from £98 million to over £350 million – a testament to our differentiated approach and relentless pursuit of excellence. With a presence across the UK, US, EU, and South Africa, and a client base spanning industries and geographies, we’ve welcomed seven boutique firms into the Group. This has broadened our capabilities across creative, digital marketing, data and AI, procurement, transformation, and more. Our vision of becoming a services unicorn is firmly within reach – and this is just the beginning. We’re looking for exceptional talent to join us on this exciting growth journey and shape the future of consulting. You will be based in London. Our headquarters are in Central London. It’s where it all began for us and continues to be a hub of innovation and growth. Job Summary We’re building the best consulting firm in the world. To help us achieve that, we’re looking for an exceptional Procurement Consulting Manager with 5–8 years’ experience in procurement strategy, cost transformation, target operating models, and commercial optimisation to join our global team. You will lead high-impact procurement and cost transformation engagements, helping clients unlock value across sourcing, category management, supplier management, operating model design, digital procurement, and broader enterprise transformation. As a Manager, you will often be the most senior full-time person on an engagement. This means leading delivery, owning senior client relationships, and being accountable for driving exceptional outcomes. Responsibilities Leadership & Delivery Lead end-to-end delivery of procurement and cost transformation engagements, ensuring high-quality outputs within agreed timeframes. Motivate, coach and develop team members while delegating and coordinating tasks across small, high-performing teams. Take full responsibility for engagement delivery, proactively managing risks and resolving issues as they arise. Act as the primary day-to-day client lead, maintaining strong relationships and delivery momentum. Procurement Expertise Shape and deliver procurement strategy and transformation programmes. Design and implement procurement target operating models, including organisational design, governance, and process optimisation. Lead strategic sourcing and category strategy development across direct and indirect spend. Drive cost reduction and value creation initiatives, balancing savings with service, risk and sustainability objectives. Develop robust business cases for procurement transformation, digital tools, outsourcing and supplier consolidation. Improve supplier performance management frameworks and strengthen third-party risk management approaches. Support implementation of digital procurement solutions (e.g., source-to-pay, contract lifecycle management, analytics tools). Client & Stakeholder Management Build and maintain senior client relationships, delivering exceptional value through outstanding delivery. Facilitate workshops, executive decision-making sessions and cross-functional alignment forums. Influence stakeholders across procurement, finance, operations, legal and executive leadership teams. Translate complex commercial and operational challenges into clear, actionable insights. Problem Solving & Growth Demonstrate intellectual curiosity and big-picture thinking in solving complex procurement challenges. Thrive in ambiguity - rapidly structuring unclear or loosely defined problems into tangible solutions. Get up to speed quickly in new categories, industries or spend areas, confidently leading discussions as the expert in the room. Identify commercial opportunities and contribute to business development, thought leadership and capability building. Requirements 5-8 years’ experience in consulting and/or industry procurement roles. Experience in one or more of: Procurement strategy Transformational change Target operating model design Operational excellence Strategic sourcing and category management Business case development Outsourcing and supplier strategy Strong understanding of end-to-end source-to-pay processes. Proven leadership experience managing teams and delivering complex projects. Strong stakeholder management and influencing skills. Experience facilitating workshops and senior-level discussions. Adaptable communication style across different clients, industries and stakeholder groups. Comfortable operating in ambiguity and complexity while maintaining high-quality delivery. Entrepreneurial mindset with a passion for value creation and continuous improvement. Flexible and resilient - able to thrive in a fast-paced consulting environment. What We’re Looking For A confident and engaging personality. A passion for commercial problem solving and value delivery. Accountability and ownership mindset. Self-awareness and commitment to continual improvement. The ability to combine strategic thinking with hands-on execution. Deep-end survival skills - rapidly mastering new categories or industries and leading with authority.", "summaryDescription" : "Procurement Consulting, Manager at Elixirr Consulting. Skills: Procurement strategy, Cost transformation, Target operating models, Commercial optimisation. Lead delivery of procurement engagements. Lead cost transformation engagements", "postedDate" : "2026-06-15T23:19:41.906", "createdAt" : "2026-06-15T23:19:41.906", "lastUpdated" : "2026-06-16T07:10:16.087", "ingestTimestamp" : "2026-06-15T23:19:41.906", "mongoId" : "6a3051baf292fd229cf05b02", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Procurement strategy", "Cost transformation", "Target operating models", "Commercial optimisation", "Strategic sourcing", "Category management", "Supplier strategy", "Source-to-pay processes", "Risk management", "Leadership", "Sourcing", "Supplier management", "Operating model design", "Digital procurement", "Enterprise transformation", "Organisational design", "Process optimisation", "Cost reduction", "Value creation", "Business case development", "Supplier performance management", "Third-party risk management", "Source-to-pay", "Contract lifecycle management", "Analytics tools", "Client relationships", "Stakeholder management", "Executive decision-making", "Cross-functional alignment", "Commercial challenges", "Operational challenges", "Intellectual curiosity", "Big-picture thinking", "Problem structuring", "Solution development", "Business development", "Thought leadership", "Capability building", "Engagement delivery", "Issue resolution", "Project delivery", "Procurement" ], "skillCount" : 42, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.98 }, { "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" : "694ae6ce70f0b99d589b27ca", "title" : "Commercial Risk Analytics Manager", "company" : "Hyundai Capital America", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Financial Services in Irvine, United States, adjusted for company size and industry." }, "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "
Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "timestamp" : "2026-06-16T01:39:10.590", "fingerprint" : "10c905e78cca8653375e52ad1ec3175cfa27819915e0ddf7e9f52854cbedbd04", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=108543", "externalId" : "108543", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 2 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. We Take Care of Our People Along with competitive pay, as an employee of HCA, you are eligible for the following benefits: ·          Medical, Dental and Vision plans that include no-cost and low-cost plan options ·          Immediate 401(k) matching and vesting ·          Vehicle purchase and lease discounts plus monthly vehicle allowances ·          Paid Volunteer Time Off with company donation to a charity of your choice ·          Tuition reimbursement What to Expect The Commercial Risk Analytics Manager provides risk analytics and reporting related to the Dealer Finance, Commercial Vehicle Finance and Mobility portfolios. Responsibilities include data gathering, data analytics, reporting, model development/maintenance in support of new products, loss prevention, modeling, forecasting, origination and portfolio management. This role will provide accurate and current information in support of department and business’ policies, administration, regulatory (SOX), portfolio management and tracking, and key risk indicators. In addition, this role will investigate, collect, and analyze auto industry and economic information and data impacting credit risk, including but not limited to, information regarding economic trends forecasts, commercial real estate markets, emerging technology, competitor vehicles and sales, commercial vehicle financing and mobility areas. What You Will Do 1.      Data Collection and Analysis ·          Gather, maintain, report, reconcile and analyze data with the most up-to-date, accurate and functionally useful information in support of department and business’ policies, administration and regulatory requirements ·          Build reports, dashboards and monitoring tools and early warning systems to enhance credit decision-making and information reporting to upper management and Risk Control Committee ·          Develop and enhance early warning, inventory analysis and risk management reports that can be leveraged by the Commercial and Sales teams to effectively manage risk in the Commercial & Mobility portfolios ·          Develop and maintain portfolio risk scorecards and underwriting risk models for Dealer, Commercial Vehicle and Mobility lending products and financial reporting ·          Develop Risk subject matter expertise in support of New Market Introductions and New Product Introductions by completing market/product research, Collaborate with Mobility team to assess and build out new markets and new products ·          Prepare loss estimates to support new Mobility products, including the development of probability of default and loss given default analyses ·          Develop and maintain monthly pre-approval lists in support of Subscription and other Commercial and new Mobility products ·          Support Dealer, Commercial Vehicle Finance and Mobility portfolio by developing and monitoring the scorecard performance and other key indicators. Analyze and recommend actions if indicators deviate from expected performance ·          Investigate and analyze auto industry, dealer and commercial vehicle financial statements, economic information and data impacting credit risk, including but not limited to economic trends forecasts, commercial real estate markets, Industry segment specific risks competitor vehicles and products and commercial vehicle financing areas ·          Ensure the accuracy of key credit assumptions that are inputs into the Pricing, Loss forecast, early warning, risk grading models, and develop tracking and analysis that enables periodic updates made in a systemic process to meet the needs of the business ·          Coordinate with the Commercial and Mobility teams to facilitate the integration of new systems, including the development of new and replacement reporting required to meet business needs. 2.      Reporting ·          Produce reports on Allowance for Loan and Lease Losses (ALLL), IFRS9, CECL for Dealer, Commercial Vehicle Finance and Mobility portfolios ·          Support monthly, quarterly, ad hoc and annual OP requests from FP&A and Risk. ·          Develop appropriate forecasting tools and provide timely forecast projections for review and approval by Director Commercial Risk, Enterprise Risk Director and CRO. ·          Develop and provide reports to support ad-hoc strategic projects and deliverables ·          Produce periodic and ad-hoc reporting and respond to Corporate and field requests 3.      Compliance and Communication ·          Perform verification of the CECL and IFRS9 and disclosure reports accuracy including input verifications, outcome reasonableness, and variance explanations in compliance with regulatory requirements (SOX). ·          Present the results to Commercial management for monthly sign-off and answer all the questions for smooth approval. ·          Conduct monthly meetings with Accounting, Finance, Commercial Credit, Mobility and Risk to share the results and provide clarifications. ·          Provide support and business rationale for external auditors with questions. ·          Create quarterly Memo for Commercial and Mobility portfolios including obtaining consensus from accounting and sign off from CRO and CFO 4.      Project Management ·          Maintain project schedules, task details and coordinate efforts and deliverables with associates in department projects. ·          Maintain relevant support documentation for regulatory requirements. What You Will Bring · Minimum 5-7 years progressive experience in quantitative analysis within automotive captive, banking, commercial lending, equipment finance or related field. ·       Prior credit scorecard and statistical model development experience preferred. ·    Bachelor’s Degree in Business Administration, Mathematics, Economics, Operations Research, Statistics, Computer Science or related quantitative experience. ·       Demonstrate strong business acumen, technical skills and an ability to partner with stakeholders. ·       Strong PC skills; Python, SAS, SQL, Microsoft Access, Excel, Word, Power Point, VBA, Tableau. ·       Ability to work on multiple projects and attention to details and timeline. ·       Ability to explain complex data analysis. ·       Ability to develop statistical models (PD, LGD, Scorecards, Reserves, etc.). Work Environment Employees in this class are subject to extended periods of sitting, standing and walking, and using a computer. Work is performed in an office environment. The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . United States-California-Irvine", "summaryDescription" : "Commercial Risk Analytics Manager at Hyundai Capital America", "createdAt" : "2026-06-14T20:45:10.007", "lastUpdated" : "2026-06-16T01:39:10.590", "ingestTimestamp" : "2026-06-14T20:45:10.007", "mongoId" : "694ae6ce70f0b99d589b27ca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb13d74d8ee00a09dc974", "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" : "2026-06-15T07:50:57.009", "fingerprint" : "0ea5d6e7724047bb2c51e66eb6bd95492a430a925919bb3daea0fd2b5b0750ae", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/f21c1a5a-36f1-4397-afe3-a541bee5fffe/application", "externalId" : "f21c1a5a-36f1-4397-afe3-a541bee5fffe", "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", "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", "createdAt" : "2026-06-13T22:25:08.963", "lastUpdated" : "2026-06-15T07:50:57.009", "ingestTimestamp" : "2026-06-13T22:25:08.963", "mongoId" : "6a2cb13d74d8ee00a09dc974", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 170000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8d6b74d8ee00a0978e4c", "title" : "Senior Manager, BizOps & Analytics", "company" : "Jerry. ai", "industry" : "Data", "salary" : { "min" : 170000.0, "max" : 210000.0, "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" : "2026-06-15T09:34:39.934", "fingerprint" : "634ef9f4b6358a18836a8e5f4474d391ff922358df3d89993cb68dba981957f9", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/ec673979-7db1-42df-8c4a-cee67e198de8/application", "externalId" : "ec673979-7db1-42df-8c4a-cee67e198de8", "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" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Data analysis", "Decision making", "Problem solving" ], "hardSkillsList" : [ "Analytical ability", "Data interpretation", "Metrics definition", "Report building", "Analysis design", "Experiment design" ], "hardSkills" : [ { "name" : "Analytical ability", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Metrics definition", "level" : "intermediate" }, { "name" : "Report building", "level" : "intermediate" }, { "name" : "Analysis design", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" } ], "majorSkills" : "BizOps, Analytics, Data Insights", "majorSkillsList" : [ "BizOps", "Analytics", "Data Insights" ], "teamCollaboration" : "Central BizOps team; Embedded in business unit; Counterparts in product; Counterparts in growth; Counterparts in finance; Counterparts in operations", "toolProficiency" : [ "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Write clearly; Speak precisely", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems; Clear hypotheses", "qualificationsBasic" : "6+ years experience, Analytical ability, Track record of owning ambiguous analytical problems, Driving problems to business outcome, 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, 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 - 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 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" : "Senior Manager, BizOps & Analytics at Jerry. ai. Skills: BizOps, Analytics, Data Insights", "createdAt" : "2026-06-14T09:42:13.260", "lastUpdated" : "2026-06-15T09:34:39.934", "ingestTimestamp" : "2026-06-14T09:42:13.260", "mongoId" : "6a2c8d6b74d8ee00a0978e4c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Analytical ability", "Data interpretation", "Metrics definition", "Report building", "Analysis design", "Experiment design", "BizOps", "Analytics", "Data Insights", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement", "Data analysis", "Decision making", "Problem solving", "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" : "6a2c8bd574d8ee00a0973e1b", "title" : "Senior Manager, Digital Analytics", "company" : "Gen Digital", "industry" : "Finance & Business Performance", "salary" : { "min" : 188000.0, "max" : 216000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "USA - New York, NY", "locations" : [ "USA - New York, NY", "USA - Mountain View, CA", "USA - Tempe, AZ" ], "timestamp" : "2026-06-15T09:34:34.880", "fingerprint" : "c93a3afcf2d70c0ae2aeecbdbc3bbd2db7e07358057602c1003da46180cd0750", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/gen-digital/5aad1b19-6093-4b34-9137-034ca5712d94/application", "externalId" : "5aad1b19-6093-4b34-9137-034ca5712d94", "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" : "JavaScript, HTML, CSS, SQL", "professionalSkills" : [ "Data layer strategy", "Tag governance", "Web instrumentation", "Marketing tagging", "Privacy compliance" ], "hardSkillsList" : [ "Web analytics", "Tag management", "Data collection", "Data structuring", "Data flow management", "Schema definition", "Naming conventions", "Event taxonomy", "Variable standards", "Client-side tagging", "Server-side tagging", "Data fidelity", "Privacy compliance", "Tag audits", "QA validation", "Third-party tag configuration", "User behavior tracking", "Funnel tracking", "Event tracking", "SPA tracking", "Debugging", "SDK integration", "Conversion attribution", "Consent management", "Cookie governance" ], "hardSkills" : [ { "name" : "Web analytics", "level" : "intermediate" }, { "name" : "Tag management", "level" : "intermediate" }, { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data flow management", "level" : "intermediate" }, { "name" : "Schema definition", "level" : "intermediate" }, { "name" : "Naming conventions", "level" : "intermediate" }, { "name" : "Event taxonomy", "level" : "intermediate" }, { "name" : "Variable standards", "level" : "intermediate" }, { "name" : "Client-side tagging", "level" : "intermediate" }, { "name" : "Server-side tagging", "level" : "intermediate" }, { "name" : "Data fidelity", "level" : "intermediate" }, { "name" : "Privacy compliance", "level" : "intermediate" }, { "name" : "Tag audits", "level" : "intermediate" }, { "name" : "QA validation", "level" : "intermediate" }, { "name" : "Third-party tag configuration", "level" : "intermediate" }, { "name" : "User behavior tracking", "level" : "intermediate" }, { "name" : "Funnel tracking", "level" : "intermediate" }, { "name" : "Event tracking", "level" : "intermediate" }, { "name" : "SPA tracking", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" }, { "name" : "SDK integration", "level" : "intermediate" }, { "name" : "Conversion attribution", "level" : "intermediate" }, { "name" : "Consent management", "level" : "intermediate" }, { "name" : "Cookie governance", "level" : "intermediate" } ], "majorSkills" : "Web measurement infrastructure, Data layer specification, Tealium tag governance, Amplitude analytics", "majorSkillsList" : [ "Web measurement infrastructure", "Data layer specification", "Tealium tag governance", "Amplitude analytics" ], "coreResponsibilities" : "Define data layer specification, Maintain data layer schema, Establish naming conventions, Approve data layer changes, Own Tealium iQ implementation, Lead tag deployment strategy, Define tag governance standards, Onboard third-party vendor tags, Define instrumentation strategy, Implement data layer pushes, Own QA and validation process, Drive instrumentation-first development, Own marketing tag ecosystem, Manage cookie governance framework", "teamCollaboration" : "Partner with product engineering; Partner with product management; Partner with data engineering; Partner with marketing teams; Partner with adtech teams; Liaise with legal; Liaise with engineering", "domainKnowledge" : "Digital analytics; Tag management; Web instrumentation; Marketing tagging; Privacy regulations; GDPR; CCPA/CPRA; ePrivacy; Cookie governance; Consent management; Server-side tagging; Customer data platforms", "domainList" : [ "digital-analytics", "tag-management", "web-instrumentation", "marketing-tagging", "privacy-regulations", "gdpr", "ccpa-cpra", "eprivacy", "cookie-governance", "consent-management", "server-side-tagging", "customer-data-platforms" ], "domainSpecificKnowledge" : [ "Digital analytics", "Tag management", "Web instrumentation", "Marketing tagging", "Privacy regulations", "GDPR", "CCPA/CPRA", "ePrivacy", "Cookie governance", "Consent management", "Server-side tagging", "Customer data platforms" ], "toolProficiency" : [ "Tealium", "Amplitude", "Google Tag Manager", "Adobe Launch", "OneTrust", "Cookiebot", "FullStory", "Heap" ], "communicationSkills" : "Translate technical concepts", "documentationSkills" : "Documentation", "qualificationsBasic" : "5+ years experience, SQL proficiency, JavaScript proficiency", "qualificationsPreferred" : "Tealium AudienceStream experience a plus, Experience with consent management platforms, Familiarity with server-side tagging, Experience with other tag management systems, Exposure to adjacent tools, Experience in cybersecurity product environment, Familiarity with SQL and data warehouse querying", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "ABOUT GEN: Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries. Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results. When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career – from flexible working options and time off to competitive pay, benefits and well-being programs. At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage. If this sounds like you, we’d love you to be part of Gen. ABOUT THE ROLE: Gen Digital operates a portfolio of consumer security and privacy brands serving hundreds of millions of users worldwide. Every product decision, marketing dollar, and growth initiative depends on a single question: what is the data actually telling us? This role is the answer. The Digital Analytics & Tag Management Lead owns Gen's end-to-end web measurement infrastructure. You are the primary technical authority on how behavioral data is collected, structured, and delivered for our web properties — from the data layer specification through Tealium tag governance, web instrumentation, marketing tagging, cookie and consent management, and the Amplitude digital analytics platform. You lead a team of individual contributors and serve as the primary internal stakeholder for what the data layer should look like, ensuring it reliably powers product analytics, marketing measurement, and privacy compliance at global scale. KEY RESPONSIBILITIES: Data Layer Strategy & Governance - Serve as the primary internal stakeholder for Gen's data layer; Engineering still owns much of this , but you need to be defining and maintaining the specification that governs what data is collected, how it is structured, and how it flows to all downstream consumers. - Author and maintain the canonical data layer schema across web properties; own versioning, change management, and documentation. - Establish naming conventions, event taxonomy, and variable standards that enable consistent analytics across product lines and geographies. - Partner with product engineering, product management, and data engineering to review and approve any changes to the data layer before deployment. Tealium Tag Management - Own the enterprise Tealium iQ implementation end-to-end: tag library health, load rules, data layer variable configuration, publish workflows, and environment management. - Lead the strategy for client-side and server-side tag deployment, evaluating trade-offs between performance, data fidelity, and privacy compliance. - Define and enforce tag governance standards: tag audits, deprecation of legacy tracking, QA validation processes, and deployment approvals. - Partner with marketing and adtech teams to onboard, configure, and maintain third-party vendor tags within the Tealium ecosystem. Web Instrumentation - Define the instrumentation strategy for Gen's web and mobile web properties — determining what user behaviors, funnels, and events must be tracked to support product and marketing decisions. - Collaborate with front-end engineers to implement and validate data layer pushes, ensuring accurate event capture across SPA and traditional page architectures. - Own the QA and validation process for all instrumentation changes, including debugging via browser dev tools, Tealium's data trace, and Amplitude's event validation. - Drive a culture of instrumentation-first feature development: new product features ship with tracking requirements defined before code is written. Marketing Tagging & Privacy - Own the marketing tag ecosystem — paid search, paid social, affiliate, email, and display — ensuring tags fire correctly, attributing conversions accurately, and respecting user consent state. - Serve as the primary liaison between marketing, legal, and engineering on tagging-related privacy compliance: GDPR, CCPA/CPRA, and emerging global regulations. - Manage the cookie governance framework: audit and classify all cookies set across Gen properties, maintain the cookie inventory, and ensure alignment with disclosed privacy policies. - Own the consent management platform (CMP) configuration within Tealium, ensuring tag suppression, consent signal propagation, and opt-out behavior function correctly across all regions. - Partner with the privacy and legal teams on data residency requirements, PII redaction in tracking payloads, and incident response when a privacy issue involves tagging or instrumentation. Amplitude — Digital Analytics Platform - Own the Amplitude platform as Gen's primary digital analytics tool: contract, vendor relationship, governance model, and roadmap for adoption across product and marketing teams. - Define and enforce the Amplitude data governance model — taxonomy, event naming standards, user property conventions, and project/space structure — ensuring a trustworthy, self-service analytics environment. - Drive Amplitude adoption across product managers, growth managers, and marketers; build training materials, conduct workshops, and establish best practices so stakeholders can answer their own questions. - Own the Amplitude SDK integration strategy and instrumentation quality: work with engineering teams to ensure SDKs are correctly implemented, events are validated, and the platform reflects the canonical data layer spec. - Manage the integration between Tealium and Amplitude, ensuring data flows reliably, identity stitching is consistent, and the platform receives a clean, governed event stream. - Lead the evaluation of Amplitude feature releases and adjacent tooling (e.g., Amplitude Experiment for A/B testing, Amplitude CDP capabilities) and recommend adoption where it delivers clear value. People Management - Manage and mentor a team of 2-3 ICs, providing weekly 1:1s, clear performance feedback, and development plans aligned to the career framework. - Build succession plans, eliminate single points of failure, and develop the team's collective capability in data layer design, tag management, privacy, and Amplitude. - Participate in hiring: define role requirements, build interview panels, shadow interviewers, and make hire/no-hire decisions as the hiring manager. - Contribute meaningfully to the codebase on non-critical-path work — leading by example on code quality, process adherence, and high-quality pull requests. ABOUT YOU: Required - Bachelor’s degree in Computer Science, or a related field; Master’s or Ph.D. preferred. - 10+ years of experience in digital analytics, web measurement, or marketing technology, with at least 3–5 years in a formal people management role, demonstrating proficiency in all core management competencies. - Deep hands-on expertise with Tealium iQ: tag deployment, data layer configuration, load rules, extensions, and publish workflows; Tealium AudienceStream experience is a strong plus. - Proven ownership of a data layer at enterprise scale — authoring specs, governing changes, and partnering with engineering teams on implementation. - Expert-level understanding of web instrumentation: JavaScript event tracking, SPA tracking patterns, data layer pushes, browser debugging, and SDK integration. - Fluency in marketing tagging ecosystems: paid search (Google, Microsoft), paid social (Meta, TikTok), affiliate and display pixels, conversion APIs, and server-side tagging. - Hands-on experience with Amplitude, including SDK integration, taxonomy governance, and enabling self-service analytics for non-technical stakeholders. - Working knowledge of privacy regulations (GDPR, CCPA/CPRA, ePrivacy) and how they intersect with tagging, cookies, consent management, and data collection. - Proficiency in JavaScript and HTML/CSS sufficient to read, write, and debug custom tag code, data layer implementations, and instrumentation scripts. - Strong cross-functional communication: able to translate highly technical tagging and data layer concepts into clear requirements for engineers, privacy/legal teams, and marketing stakeholders. Preferred - Experience with consent management platforms (OneTrust, Cookiebot, or Tealium's native CMP) and IAB TCF / Google Consent Mode v2. - Familiarity with server-side tagging architectures and their privacy advantages over pure client-side approaches. - Experience with other enterprise tag management systems (Adobe Launch, Google Tag Manager) sufficient to assess migration and interoperability scenarios. - Exposure to adjacent tools in the measurement stack: session replay (FullStory, Heap), A/B testing platforms, and customer data platforms (CDPs). - Experience operating in a cybersecurity or consumer privacy-focused product environment, where data minimization is a core design constraint. - Familiarity with SQL and data warehouse querying (Snowflake, BigQuery) for validating upstream data quality. WHAT’S NEXT…. - Recruiter Interview - 1st Round Interview - 2nd Round Interview - Final Interview", "summaryDescription" : "Senior Manager, Digital Analytics at Gen Digital. Skills: Web measurement infrastructure, Data layer specification, Tealium tag governance, Amplitude analytics. Define data layer specification. Maintain data layer schema", "createdAt" : "2026-06-14T09:39:54.647", "lastUpdated" : "2026-06-15T09:34:34.880", "ingestTimestamp" : "2026-06-14T09:39:54.647", "mongoId" : "6a2c8bd574d8ee00a0973e1b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 188000, "salaryAnnualMax" : 216000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Web analytics", "Tag management", "Data collection", "Data structuring", "Data flow management", "Schema definition", "Naming conventions", "Event taxonomy", "Variable standards", "Client-side tagging", "Server-side tagging", "Data fidelity", "Privacy compliance", "Tag audits", "QA validation", "Third-party tag configuration", "User behavior tracking", "Funnel tracking", "Event tracking", "SPA tracking", "Debugging", "SDK integration", "Conversion attribution", "Consent management", "Cookie governance", "Web measurement infrastructure", "Data layer specification", "Tealium tag governance", "Amplitude analytics", "Data layer strategy", "Tag governance", "Web instrumentation", "Marketing tagging", "Digital analytics", "Privacy regulations", "GDPR", "CCPA/CPRA", "ePrivacy", "Customer data platforms", "Tealium", "Amplitude", "Google Tag Manager", "Adobe Launch", "OneTrust", "Cookiebot", "FullStory", "Heap" ], "skillCount" : 47, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "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" : "6a2c9ff674d8ee00a09a0efe", "title" : "Analytics Manager, Partner Insights", "company" : "Rula", "industry" : "Finance", "salary" : { "min" : 157250.0, "max" : 175750.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-15T14:13:36.599", "fingerprint" : "0fc9c58195e0b2bfb049028b1186865badc1f06a7131f7b0349469202156075f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/rula/36c48692-0a06-4d31-971c-63ae1f29d391/application", "externalId" : "36c48692-0a06-4d31-971c-63ae1f29d391", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "SQL, Dbt, Airflow, Looker, Tableau, Hex", "professionalSkills" : [ "Data storytelling", "Reporting systems design", "Trend analysis", "Cross-functional partnership", "Strategy influence", "Client success support" ], "hardSkillsList" : [ "Quantitative analysis", "Data visualization", "Automation" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Reporting systems, Partner insights", "majorSkillsList" : [ "Data analytics", "Reporting systems", "Partner insights" ], "coreResponsibilities" : "Design reporting systems, Present insights to stakeholders, Automate foundational reports, Dive into trends", "teamCollaboration" : "Cross-functional partner; Internal client success teams; Sales teams", "domainKnowledge" : "Healthcare data; Payer reporting; Health system reporting; Clinical outcomes; Cost of care; Network adequacy; Utilization rates", "domainList" : [ "healthcare-data", "payer-reporting", "health-system-reporting", "clinical-outcomes", "cost-of-care", "network-adequacy", "utilization-rates" ], "domainSpecificKnowledge" : [ "Healthcare data", "Payer reporting", "Health system reporting", "Clinical outcomes", "Cost of care", "Network adequacy", "Utilization rates" ], "toolProficiency" : [ "SQL", "Dbt", "Airflow", "Looker", "Tableau", "Hex" ], "communicationSkills" : "Present insights", "problemSolvingSkills" : "Data analysis", "outcomesObjectives" : "Transform data into stories; Unlock time for deeper trends", "qualificationsBasic" : "5+ years experience, Bachelor's degree, SQL proficiency, Dbt proficiency, Airflow proficiency, Looker proficiency, Tableau proficiency, Hex proficiency, Experience with health plans, Experience with healthcare analytics, Experience with payer reporting, Experience with health-system reporting", "qualificationsPreferred" : "Startup environment experience, Transition manual reporting to automated workflows, Deep understanding of clinical outcomes, Deep understanding of cost of care, Deep understanding of network adequacy, Deep understanding of utilization rates", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms. We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being. We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare. Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii. About the Role This role empowers Rula’s partnership teams by transforming complex healthcare data into clear, compelling stories for our largest partners. As an individual contributor, you will be responsible for designing reliable reporting systems and directly presenting easy-to-understand insights to external stakeholders. By applying your technical skills to automate foundational reports, you will unlock the time needed to dive into deeper trends around care and operational success. Ultimately, you will be a key customer-facing guide at the crossroads of data and relationships, directly influencing how partners experience the value Rula brings to the table. Required Qualifications - 5+ years of experience, embedded within an Analytics, Data Science, Operations, Product, or Engineering function - A Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, or related technical field with strong quantitative foundation - Experience working with health plans, healthcare analytics, payer and health-system-facing reporting - Advanced technical expertise with modern data stacks (i.e. SQL, dbt, Airflow, etc.) and data visualization tools (i.e. Looker, Tableau, Hex, etc.) - Experience operating as a highly collaborative cross-functional partner, with the ability to influence strategy, proactively anticipate cross-functional needs, and support internal client success/sales teams without having direct ownership of the account Preferred Qualifications While having the preferred qualifications enhances your candidacy, having all of them is not mandatory. We encourage all interested applicants to apply, even those who may not meet every preferred requirement. - Experience within a fast-paced, high-growth, marketplace-centric startup environment with the ability to handle dynamic analytical priorities - A proven track record of successfully transitioning manual, one-off reporting tasks into automated, scalable workflows and templates - Deep understanding of specific healthcare performance indicators, such as clinical outcomes, cost of care, network adequacy, or utilization rates We're serious about your well-being! As part of our team, full-time employees receive: - 100% remote work environment: Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments (must be based in United States, currently not hiring in Hawaii) - Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States - Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA - 401(k) plan access: Start saving for your future - Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees) - Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering - Employee Assistance Program (EAP): Supporting your mental and physical health - Quarterly department stipend: Fun team-building activities or in-person gatherings - Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all - Home office stipend: New hire home office stipend & $50 monthly stipend to help cover internet or cell phone expenses - Wellness at Rula program: Year-round wellness initiatives and a $50/month wellness stipend Our team We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone. We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued.", "summaryDescription" : "Analytics Manager, Partner Insights at Rula. Skills: Data analytics, Reporting systems, Partner insights. Design reporting systems. 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Your main objective will be to build trust with customers in terms of the quality of the information received. This through timely communication of changes, coverage analysis, methodological explanations and identification and monitoring of potential quality problems. * Continuous communication with the client for application of changes * Coverage analysis, interpretation of results, presentation with client and follow-up to actions triggered by said analysis. * Client Inquiries management: filtering, registration, monitoring, review, communication. * Client Order Management for feasibilities: filtering, registration, monitoring, review, communication. * Provide training to clients on NielsenIQ methodologies and variable calculation. * Promotion of the use of technology. ## Qualifications A person with information analysis skills focused on problem solving and understanding the scope and limitations of NielsenIQ methodologies. Knowing how to prioritize and size problems is key to success. Requirements * Education: Degree in studies such as Marketing, Engineering, Actuary or related. * Desirable experience in companies related to market research, Retailers or Manufacturers of mass consumption, can be in the form of professional practices or internship programs. * Necessary skills: analysis and numerical ease, effective communication, creativity, organization and prioritization, taste for customer relations. * Advanced level of English * Excel advanced, obligatory * Experience with large data bases and insights * Experience with direct contact with clients ## Additional Information Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Jr. Analytic Consultant at NielsenIQ", "postedDate" : "2026-06-15T19:42:09.000", "createdAt" : "2026-06-16T00:17:02.145", "lastUpdated" : "2026-06-16T10:17:14.193", "ingestTimestamp" : "2026-06-16T00:17:02.145", "mongoId" : "6a3068adf292fd229cfc5079", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305dbff292fd229cf69eb1", "title" : "Jr. Analytic Consultant", "company" : "NielsenIQ", "industry" : "Market Research", "salary" : { "min" : 365000.0, "max" : 510000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Analytic Consultant in Market Research in Ciudad de México, Mexico, adjusted for entry-level experience and full-time employment." }, "location" : "Ciudad de México, DIF, MX", "locations" : [ "Ciudad de México", "DIF", "MX" ], "timestamp" : "2026-06-16T09:09:46.263", "fingerprint" : "437cdd3cb5040a07320870f1d068016c3262da8fb33befb2b967cdc73fbb9282", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NielsenIQ/744000132273884-jr-analytic-consultant", "externalId" : "744000132273884", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ciudad de México", "state" : "Distrito Federal", "country" : "Mexico", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "19.4326296,-99.1331785" } ], "locationText" : "Ciudad de México, Distrito Federal, Mexico", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "remoteFriendly" : false, "rawDescription" : "As a Jr. Analytic Consultant, you will be responsible for providing customer service. Your main objective will be to build trust with customers in terms of the quality of the information received. This through timely communication of changes, coverage analysis, methodological explanations and identification and monitoring of potential quality problems. * Continuous communication with the client for application of changes * Coverage analysis, interpretation of results, presentation with client and follow-up to actions triggered by said analysis. * Client Inquiries management: filtering, registration, monitoring, review, communication. * Client Order Management for feasibilities: filtering, registration, monitoring, review, communication. * Provide training to clients on NielsenIQ methodologies and variable calculation. * Promotion of the use of technology. ## Qualifications A person with information analysis skills focused on problem solving and understanding the scope and limitations of NielsenIQ methodologies. Knowing how to prioritize and size problems is key to success. Requirements * Education: Degree in studies such as Marketing, Engineering, Actuary or related. * Desirable experience in companies related to market research, Retailers or Manufacturers of mass consumption, can be in the form of professional practices or internship programs. * Necessary skills: analysis and numerical ease, effective communication, creativity, organization and prioritization, taste for customer relations. * Advanced level of English * Excel advanced, obligatory * Experience with large data bases and insights * Experience with direct contact with clients ## Additional Information Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Jr. Analytic Consultant at NielsenIQ", "postedDate" : "2026-06-15T19:42:09.000", "createdAt" : "2026-06-15T23:47:17.190", "lastUpdated" : "2026-06-16T09:09:46.263", "ingestTimestamp" : "2026-06-15T23:47:17.190", "mongoId" : "6a305dbff292fd229cf69eb1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3055f8f292fd229cf23915", "title" : "Senior Analyst / Manager of Data & Analytics", "company" : "Equinox", "industry" : "Health, Wellness And Fitness", "salary" : { "min" : 100000.0, "max" : 110000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY, United States", "locations" : [ "New York", "NY", "United States" ], "timestamp" : "2026-06-16T11:10:30.074", "fingerprint" : "3de3889dc8f3cbc8b3ebd51ed1b945bc3b570b2df4065e8762b67a0b1a1f9c4b", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Equinox/744000132200739-senior-analyst-manager-of-data-analytics", "externalId" : "744000132200739", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "SQL, Python, Pandas, Matplotlib, Looker, LookML, Tableau, Jupyter Notebooks, GCP, AWS", "professionalSkills" : [ "Data modeling", "Business intelligence", "Data analysis", "Data storytelling", "Executive presentations" ], "hardSkillsList" : [ "Data modeling", "Dashboarding", "Predictive modeling", "Statistical analysis", "Data pipelines" ], "softSkillsList" : [ "Curious", "Problem-solver" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Dashboarding", "level" : "intermediate" }, { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Problem-solver" } ], "majorSkills" : "Data analysis, Business intelligence, Data modeling, Data storytelling", "majorSkillsList" : [ "Data analysis", "Business intelligence", "Data modeling", "Data storytelling" ], "coreResponsibilities" : "Understand business questions, Deliver timely analysis, Surface opportunities for data-driven improvement, Design and maintain Looker dashboards, Monitor key business metrics, Proactively identify trends and performance gaps, Build, optimize, and document LookML models, Audit existing dashboards and data sources, Identify consolidation opportunities, Diagnose and resolve data issues, Improve data pipelines, Ensure reporting accuracy, Trace issues back to their source, Develop and maintain predictive models, Forecast business outcomes, Forecast customer behavior, Develop deep familiarity with data landscape, Contribute to long-term data strategy, Build culture of data-driven decision-making", "teamCollaboration" : "Partner with cross-functional teams; Partner with senior stakeholders; Partner with Data Engineering team", "projectManagementSkills" : [ "Manage multiple priorities" ], "domainKnowledge" : "Business performance metrics; Customer behavior analysis", "domainList" : [ "business-performance-metrics", "customer-behavior-analysis" ], "domainSpecificKnowledge" : [ "Business performance metrics", "Customer behavior analysis" ], "toolProficiency" : [ "Looker", "LookML", "Tableau", "Jupyter Notebooks" ], "communicationSkills" : "Translate complex data; Clear recommendations", "documentationSkills" : "Document LookML models", "continuousLearning" : "Growth opportunities; Leadership opportunities; Professional development opportunities", "problemSolvingSkills" : "Problem-solver; Analytical rigor", "outcomesObjectives" : "Drive business forward; Make smarter decisions; Make faster decisions", "qualificationsBasic" : "4 to 6 years of professional experience in analytics, business intelligence, or data engineering, SQL proficiency, Ability to work independently and manage multiple priorities, Exceptional attention to detail and organizational skills", "qualificationsPreferred" : "Expert in proficiency in Python (pandas, matplotlib, etc.), Hands-on experience with Looker/LookML, Familiarity with Tableau, Familiarity with Jupyter Notebooks, Familiarity with GCP/AWS, Experience with predictive modeling or statistical analysis (regression, forecasting) a plus, Creative problem-solver who thrives on ambiguous questions, Willingness to initiate tasks and perform duties with limited direction", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE We’re purpose-driven. With every ride, we aim to redefine health and happiness. It’s all about being more than a workout: SoulCycle is a mind-body-soul experience, built on community, love, respect, acceptance, and a lot of fun. It comes to life through the ride, the relationships, and the unparalleled hospitality. And all of that comes from our people. Join us—we’d love to have you. OUR MISSION To foster an open, diverse, & inclusive community – while embracing each unique individual exactly as they are. We empower each other by listening with an open mind, finding ways to learn and grow together, and always nurturing a sanctuary of trust. SoulCycle is seeking a sharp, curious data professional with a passion for turning numbers into narratives and insights into action. If you have a strong foundation in analytics and business intelligence, a deep comfort with SQL, and the ability to move fluidly between data infrastructure and executive-level storytelling, we'd love to hear from you. The Senior Analyst / Manager will be the connective tissue between our data systems and the decisions that drive our business forward. This role is equally focused on the technical work of building and maintaining reliable, scalable data models and dashboards, and the strategic work of surfacing trends, patterns, and opportunities that help SoulCycle make smarter, faster decisions. The ability to own an analysis end-to-end, from pulling the data to presenting the \"so what,\" is essential. The ideal candidate is a proactive, detail-obsessed problem-solver who thrives in ambiguity and knows how to prioritize competing demands without losing rigor or quality. This is a high-impact, high-visibility role that touches every team at SoulCycle, and the right person will be energized by that breadth, not overwhelmed by it. This individual will develop deep expertise in SoulCycle's full data landscape, contribute to our long-term data strategy, and help build a culture of data-driven decision-making across the organization, all while staying close to the day-to-day analytical needs of a fast-moving business. RESPONSIBILITIES * Insights & Recommendations: Partner with cross-functional teams and senior stakeholders to understand business questions, deliver timely analysis, and surface opportunities for data-driven improvement * Visualizations & Dashboarding: Design and maintain ad-hoc and recurring Looker reports; build and monitor key business metrics; proactively identify trends and performance gaps * Data Modeling: Build, optimize, and document LookML models that support scalable, efficient analysis across the organization * Infrastructure & Data Quality: Audit existing dashboards and data sources to identify consolidation opportunities; diagnose and resolve data discrepancies; partner with the Data Engineering team to improve data pipelines and ensure reporting accuracy. Possess a strong instinct for when data doesn't look right and the analytical rigor to trace issues back to their source. * Predictive Modeling: Develop and maintain models that forecast business outcomes, customer behavior, and other key metrics * Subject Matter Expertise: Develop deep familiarity with SoulCycle's full data landscape and contribute to evolving how the business measures performance ## Qualifications * 4 to 6 years of professional experience in analytics, business intelligence, or data engineering * Expert in SQL; proficiency in Python (pandas, matplotlib, etc.) strongly preferred * Hands-on experience with Looker/LookML; familiarity with Tableau, Jupyter Notebooks, and GCP/AWS * Experience with predictive modeling or statistical analysis (regression, forecasting) a plus * Ability to work independently and manage multiple priorities in a fast-paced environment * Strong communicator: able to translate complex data into clear recommendations for both technical and non-technical audiences * Exceptional attention to detail and organizational skills * Creative problem-solver who thrives on ambiguous questions * Willingness to initiate tasks and perform duties with limited direction JOINING THE SOULCYCLE FAMILY As a member of the SoulCycle family, you will enjoy: * Competitive salary, benefits, and perks/discounts at SoulCycle * Unlimited complimentary rides at all SoulCycle locations * Growth, leadership, and professional development opportunities The salary range for this position is $100K to $110K. ## Additional Information The responsibilities and duties of this position described here are representative of those an employee must perform. 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With every ride, we aim to redefine health and happiness. It’s all about being more than a workout: SoulCycle is a mind-body-soul experience, built on community, love, respect, acceptance, and a lot of fun. It comes to life through the ride, the relationships, and the unparalleled hospitality. And all of that comes from our people. Join us—we’d love to have you. OUR MISSION To foster an open, diverse, & inclusive community – while embracing each unique individual exactly as they are. We empower each other by listening with an open mind, finding ways to learn and grow together, and always nurturing a sanctuary of trust. SoulCycle is seeking a sharp, curious data professional with a passion for turning numbers into narratives and insights into action. If you have a strong foundation in analytics and business intelligence, a deep comfort with SQL, and the ability to move fluidly between data infrastructure and executive-level storytelling, we'd love to hear from you. The Senior Analyst / Manager will be the connective tissue between our data systems and the decisions that drive our business forward. This role is equally focused on the technical work of building and maintaining reliable, scalable data models and dashboards, and the strategic work of surfacing trends, patterns, and opportunities that help SoulCycle make smarter, faster decisions. The ability to own an analysis end-to-end, from pulling the data to presenting the \"so what,\" is essential. The ideal candidate is a proactive, detail-obsessed problem-solver who thrives in ambiguity and knows how to prioritize competing demands without losing rigor or quality. This is a high-impact, high-visibility role that touches every team at SoulCycle, and the right person will be energized by that breadth, not overwhelmed by it. This individual will develop deep expertise in SoulCycle's full data landscape, contribute to our long-term data strategy, and help build a culture of data-driven decision-making across the organization, all while staying close to the day-to-day analytical needs of a fast-moving business. RESPONSIBILITIES * Insights & Recommendations: Partner with cross-functional teams and senior stakeholders to understand business questions, deliver timely analysis, and surface opportunities for data-driven improvement * Visualizations & Dashboarding: Design and maintain ad-hoc and recurring Looker reports; build and monitor key business metrics; proactively identify trends and performance gaps * Data Modeling: Build, optimize, and document LookML models that support scalable, efficient analysis across the organization * Infrastructure & Data Quality: Audit existing dashboards and data sources to identify consolidation opportunities; diagnose and resolve data discrepancies; partner with the Data Engineering team to improve data pipelines and ensure reporting accuracy. Possess a strong instinct for when data doesn't look right and the analytical rigor to trace issues back to their source. * Predictive Modeling: Develop and maintain models that forecast business outcomes, customer behavior, and other key metrics * Subject Matter Expertise: Develop deep familiarity with SoulCycle's full data landscape and contribute to evolving how the business measures performance ## Qualifications * 4 to 6 years of professional experience in analytics, business intelligence, or data engineering * Expert in SQL; proficiency in Python (pandas, matplotlib, etc.) strongly preferred * Hands-on experience with Looker/LookML; familiarity with Tableau, Jupyter Notebooks, and GCP/AWS * Experience with predictive modeling or statistical analysis (regression, forecasting) a plus * Ability to work independently and manage multiple priorities in a fast-paced environment * Strong communicator: able to translate complex data into clear recommendations for both technical and non-technical audiences * Exceptional attention to detail and organizational skills * Creative problem-solver who thrives on ambiguous questions * Willingness to initiate tasks and perform duties with limited direction JOINING THE SOULCYCLE FAMILY As a member of the SoulCycle family, you will enjoy: * Competitive salary, benefits, and perks/discounts at SoulCycle * Unlimited complimentary rides at all SoulCycle locations * Growth, leadership, and professional development opportunities The salary range for this position is $100K to $110K. ## Additional Information The responsibilities and duties of this position described here are representative of those an employee must perform. 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Deliver timely analysis", "postedDate" : "2026-06-15T13:17:44.000", "createdAt" : "2026-06-15T21:41:34.690", "lastUpdated" : "2026-06-16T05:40:25.996", "ingestTimestamp" : "2026-06-15T21:41:34.690", "mongoId" : "6a30503ff292fd229ceedf3c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100000, "salaryAnnualMax" : 110000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Dashboarding", "Predictive modeling", "Statistical analysis", "Data pipelines", "Curious", "Problem-solver", "Data & Analytics", "Business Intelligence", "Data Modeling", "Storytelling", "Business intelligence", "Data analysis", "Data storytelling", "Executive-level storytelling", "Manage multiple priorities", "Business performance measurement", "Looker", "LookML", "Tableau", "Jupyter Notebooks" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports & Fitness", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305930f292fd229cf45a2e", "title" : "Associate, BizOps & Analytics", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 85000.0, "max" : 130000.0, "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" : "2026-06-16T10:02:42.899", "fingerprint" : "62d85bfed8594804691ebbd3dd3941c788fcb3483399c1ab71653ea11095b341", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/214c3e5e-694d-43e1-9077-a7ee20b4acb7/application", "externalId" : "214c3e5e-694d-43e1-9077-a7ee20b4acb7", "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" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Data analysis", "Problem solving" ], "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, Data insights", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights" ], "coreResponsibilities" : "Define business questions, 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 units; Work with product; Work with growth; Work with finance; Work with operations", "domainKnowledge" : "Car ownership management; Insurance; Home ownership management; Motorcycle ownership; RV ownership", "domainList" : [ "car-ownership-management", "insurance", "home-ownership-management", "motorcycle-ownership", "rv-ownership" ], "domainSpecificKnowledge" : [ "Car ownership management", "Insurance", "Home ownership management", "Motorcycle ownership", "RV ownership" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Write clearly; Speak precisely", "problemSolvingSkills" : "Break ambiguous problems; Formulate hypotheses", "outcomesObjectives" : "Grow to 50M customers; Become $10B business", "qualificationsBasic" : "1+ years consulting experience, 1+ years investment bank experience, 1+ years high-growth tech experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record of owning problems, Track record of delivering impact, Clear communicator, Persuasive communicator, Influence leadership decisions", "remoteFriendly" : false, "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 - 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. Define metrics", "createdAt" : "2026-06-16T00:32:01.638", "lastUpdated" : "2026-06-16T10:02:42.899", "ingestTimestamp" : "2026-06-16T00:32:01.638", "mongoId" : "6a305930f292fd229cf45a2e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 130000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data interpretation", "Data structuring", "Data pulling", "Direct communicator", "BizOps", "Analytics", "Data insights", "First principles thinking", "Data analysis", "Problem solving", "Car ownership management", "Insurance", "Home ownership management", "Motorcycle ownership", "RV ownership", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305098f292fd229cef28e7", "title" : "Associate, BizOps & Analytics", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 85000.0, "max" : 130000.0, "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" : "2026-06-16T10:29:17.410", "fingerprint" : "91ad3718f74bc63d2b84009ba3170e16778368e87a7ff49cc836063dc3b16413", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/624b9e3c-7eaa-4eb7-95e0-14eb8e697d1f/application", "externalId" : "624b9e3c-7eaa-4eb7-95e0-14eb8e697d1f", "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", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Analytical problem solving", "Data analysis", "Metrics definition", "Report building", "Experiment design", "Insight generation", "Decision driving", "End-to-end execution" ], "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, Data insights", "majorSkillsList" : [ "BizOps", "Analytics", "Problem solving", "Data insights" ], "coreResponsibilities" : "Define business questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Drive outcomes, Bring recommendations to counterparts, Inform teams on happenings, Inform teams on reasons, Inform teams on next steps", "teamCollaboration" : "Embedded in business units; Counterparts in product; Counterparts in growth; Counterparts in finance; Counterparts in operations", "domainKnowledge" : "Car ownership; Home ownership; Motorcycle ownership; RV ownership; Insurance; Driving insights; Diagnostics; Repair marketplace", "domainList" : [ "car-ownership", "home-ownership", "motorcycle-ownership", "rv-ownership", "insurance", "driving-insights", "diagnostics", "repair-marketplace" ], "domainSpecificKnowledge" : [ "Car ownership", "Home ownership", "Motorcycle ownership", "RV ownership", "Insurance", "Driving insights", "Diagnostics", "Repair marketplace" ], "toolProficiency" : [ "SQL", "Clickhouse", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Complex finding walkthrough; Stakeholder buy-in", "problemSolvingSkills" : "First principles thinking; Ambiguous problem breakdown; Hypothesis formulation", "outcomesObjectives" : "Move team's key metrics; Go from 5M to 50M customers; Become a $10B business", "qualificationsBasic" : "1+ years consulting experience, 1+ years investment banking experience, 1+ years high-growth tech experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record of owning problems, Track record of delivering impact, 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, 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 sr manager analytics consulting manufacturing analytics jobs", "metadata" : { "title" : "manager sr manager analytics consulting manufacturing analytics" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 131012, "totalPages" : 2621, "hasNext" : true, "hasPrevious" : false } }

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