Top Product Analyst Jobs

Document and maintain system configurations, workflows, data mappings, and integrations for LOS/XLOS. Create version-controlled requirement artifacts, Jira stories, and test plans. Collaborate with Systems Engineers, QA, product and operations to validate documentation, identify gaps, standardize practices, and onboard junior team members.

Act as subject-matter expert for assigned products: translate business requirements into epics/features/user stories, own and prioritize the product backlog, support Agile delivery, coordinate UAT and releases, maintain product documentation, engage stakeholders, and drive continuous improvement.

Lead measurement and analytics for Spotlight Listings: define KPIs and instrumentation, build SSOT dashboards, model inventory capacity, design marketplace experiments, own revenue and activation reporting, ensure data quality, and partner with Product, Sales, and Marketing to inform pricing and renewal strategies.

Support development, launch, and ongoing management of Wellington's 1940 Act fund range. Coordinate stakeholders across legal, compliance, operations, tax, and sales; track launch plans and governance; draft regulatory/disclosure documentation; identify process improvements; support fund changes and ad hoc platform-scaling projects while building subject-matter expertise in US Wealth fund structures and regulations.

Analyze product performance metrics and user behavior to drive insights for product improvements. Collaborate with teams to develop reporting practices, A/B tests, and dashboards to inform strategy.

Own and QA high-impact retail data products: design and run QA, investigate and resolve complex data quality issues, collaborate with Insights and Engineering, improve automation and product reliability, and communicate methodology and limitations to clients.

Support the Category Manager with data-driven competitive analysis, SKU rationalization, pricing and assortment optimization, dashboarding, forecasting, and product recommendations. Collaborate with sales, marketing, and supply chain teams while leveraging AI-powered analytics to inform strategic decisions.

Lead strategic roadmap for yield smart manufacturing solutions, manage global projects, and apply AI technologies to optimize yield processes.

As a Senior Product Data Analyst, you will analyze payment data, define metrics, design experiments, and provide insights to enhance product decisions.

Serve as an Anatomic Pathology domain SME on the product team to analyze and document requirements for Clinisys Laboratory Solution, define features and user stories, manage backlog and releases, ensure regulatory compliance, apply responsible generative AI to product workflows, support sales/bids, and lead cross-functional teams to deliver high-quality LIS software enhancements.

Analyze user behavior, feature adoption, and retention across a B2B SaaS platform to generate evidence-based product insights. Track journeys, run cohort and funnel analyses, support A/B testing, define product KPIs, ensure data accuracy, and provide structured recommendations to inform roadmap and improve adoption and retention.

Investigate product and UX friction using session recordings, support tickets, and analytics; prioritize fixes by business impact; prototype and ship solutions using AI tools; collaborate with product, engineering, and underwriting; measure outcomes and iterate.

The Product Analyst will analyze product performance, develop reports, and collaborate with stakeholders to enhance pet insurance offerings through data-driven insights.

Lead development and management of homeowners insurance products through market research, underwriting guideline creation, contract language, and predictive pricing analytics. Drive product strategy, performance monitoring, and cross-functional collaboration with pricing, claims, and actuarial teams to improve profitability, growth, and customer/agent experience. Serve as subject matter expert and project lead for product implementation and competitive analysis.

14-week hybrid internship supporting Personal Lines strategy and product management. Conduct pricing support, market and competitive research, and prepare analyses for rate reviews and national/state product initiatives. Participate in a corporate capstone project and present findings to senior leaders.

Support product and operational decisions by building staff-facing dashboards, monitoring KPIs, conducting deep-dive analyses and experiments, ensuring data governance, and delivering actionable insights across Product, Lending, Operations, Marketing, and Finance.

Leads tennis footwear wear-testing projects from planning and participant recruitment through test execution, data analysis, and reporting. Evaluates footwear fit, performance, materials, components, and construction methods; identifies pre-production issues and recommends improvements. Partners with athletes, coaches, equipment managers, and product creation teams to translate tester feedback into actionable product decisions. The role requires project coordination, strong communication, flexible scheduling, physical handling of products, and regional travel.

Execute and optimize programming strategy and content merchandising for VIZIO WatchFree+. Manage content priorities, storefronts, carousels, scheduling, competitive analysis, and data-driven testing across film, television, AVOD, and FAST channels. Collaborate with internal stakeholders, contribute to programming best practices, support content discovery through AI, and handle special scheduling projects.

Leads business and IT collaboration to define, prioritize, and deliver data products, reporting, dashboards, and advanced analytics solutions. Translates business requirements into scalable data and technology solutions, supports architecture and roadmap development, guides transformation initiatives, manages stakeholder and vendor relationships, and mentors junior analysts. The role emphasizes analytics strategy, data modeling alignment, trusted data, process improvement, and executive-level communication across Tyson’s Beef and Pork division.

Support and optimize the iMobile platform and Mobile Heartbeat app; coordinate project plans, facilitate meetings, create documentation, develop communication/education plans, work with cross-functional teams, lead small projects, and maintain product knowledgebase in a hospital environment.

Support and optimize the iMobile platform and Mobile Heartbeat app. Coordinate project plans, lead small projects, facilitate meetings, produce documentation, create communication and education plans, and collaborate with cross-functional teams to define and develop clinical functionality. Provide operational support and product knowledge for Mobile Heartbeat, Nurse Call, and integrated applications.

Lead product analytics for Upsides consumer app: define KPIs and OKRs, design and analyze A/B tests, perform exploratory and root-cause analyses, forecast revenue impacts, build dashboards and data models, ensure robust instrumentation, and use AI tools to automate and scale experimentation and analytics workflows.

Own the conversion of raw alternative datasets into scalable, AI-ready data products. Define methodologies, metric definitions, and guardrails for AI-driven insights. Partner with engineering, product, and customers to expand use cases, ensure data quality, validate changes, and manage incidents to deliver reliable, explainable data products at scale.

Gather and analyze commercial insurance form, rate, and rule requirements; translate business needs into system specifications; document requirements; support system design, development, prioritization, and user acceptance validation; communicate between business and technical teams; assess risks and impacts of system changes; and identify process automation and improvement opportunities.

Analyze user behavior, business performance, and growth opportunities for a B2C subscription product. Partner with Product, Marketing, Finance, and Engineering to inform strategy, build standardized KPI reporting, monitor performance, design and evaluate A/B experiments, and optimize conversion and retention. The role also identifies analytics infrastructure gaps and recommends data warehouse and reporting improvements.