Top Remote Product Analyst Jobs

Own end-to-end product analytics: define questions and success metrics, run A/B tests, build dashboards and reusable SQL/Python analyses, investigate performance changes, and collaborate with Product, ML, and Data teams to inform product decisions.

As a Staff Product Analyst, you'll define analytics strategies, build measurement infrastructure, design experiments, and partner with product teams to boost self-serve conversion and product adoption.

Manage personal auto insurance product forms, contracts, and initiatives. Conduct state-specific competitive intelligence, analyze coverage and regulatory information, recommend product changes, and communicate updates to stakeholders. Monitor bureau and state activity, support regulatory filings, answer contract-related inquiries, develop customer-facing language, and lead process improvements. The role requires cross-functional project management, strong analytical and communication skills, and experience interpreting insurance policy contracts.

Lead advanced analytics for countrywide insurance product programs: build dashboards and monitoring frameworks, conduct deep-dive analyses and predictive modeling, identify systemic process and data gaps, partner with product and cross-functional teams, and influence strategic decisions to improve growth, retention, and profitability.

Supports the Product team with data-driven insights, reporting, dashboards, and operational tasks for healthcare product offerings. Analyzes performance trends, translates findings into recommendations, and informs product decisions, enhancements, and program optimization. Works on multiple initiatives under Product Leadership while following established processes and contributing to customer-centric, data-informed product development.

Own end-to-end product analytics for Babylist Wishlists and Celebrations. Build KPI frameworks, improve event instrumentation, analyze clickstream data, design experiments, and connect user behavior to retention and long-term value. Partner with product and engineering teams to influence strategy, create dashboards and reporting, and support AI-assisted analysis across multiple user types and business initiatives.

Lead day-to-day Product Risk Management operations: identify, assess, mitigate, and report product risks; define processes, standards, and tools; run risk assessments and executive reporting; partner with product, engineering, legal, compliance and auditors to embed ERM and ensure post-launch monitoring and issue remediation.

Lead product analytics for a B2B SaaS product: define metrics and measurement frameworks, analyze user behavior and product performance, build self-service dashboards, partner cross-functionally to link usage to business outcomes, and translate data into strategic recommendations for product roadmap and GTM decisions.

Own product analytics strategy across high-impact product areas, identifying growth opportunities and shaping product and executive decisions. Lead experiment design, guardrails, causal inference, power analysis, and cross-experiment interpretation. Validate and improve AI-generated analyses, develop customer and business insights, and connect patterns across data sources. Partner with product, design, engineering, and leadership while raising standards for analytical rigor and AI-assisted workflows.

Analyzes and certifies Prism’s AI-generated answers against source data, improves prompts and semantic layers, identifies recurring quality issues, and documents business logic. Partners with Product Management, Data Science, Engineering, QA, and business owners to define requirements, create accuracy test cases, improve data structures, influence the roadmap, and communicate product updates.

Own product go-to-market performance analytics across pipeline, adoption, renewal, and expansion. Build portfolio scorecards and executive reporting, analyze cross-sell opportunities, win/loss trends, competition, pricing, discounting, and packaging, and translate complex data into recommendations. Partner cross-functionally with Product, Sales, Marketing, Customer Success, and Finance to guide investment, roadmap, pricing, and go-to-market decisions.

Analyzes and certifies conversational AI queries and answers against source data. Improves prompts, semantic layers, taxonomies, metadata, and data quality while partnering with Product, Data Science, Engineering, QA, and business owners. Documents business logic, writes technical requirements, develops accuracy test cases, contributes to roadmap prioritization, and communicates product updates.

Analyze and connect complex datasets to generate actionable business insights and improve data products. Gather and manage requirements, document processes, define acceptance criteria, support testing, and collaborate with engineering and data teams. Serve as a data subject matter expert while advancing data quality, stewardship, lineage, metadata management, and stakeholder alignment across digital, direct-to-consumer, sports, fan, and business use cases.

Support maintenance, monitoring, and enhancement of commercial and personal lines insurance products. Draft and coordinate forms, endorsements, rates, and rules; prepare and submit filings and statistical reports; manage ISO reporting; implement regulatory changes; monitor industry trends; provide cross-functional guidance to ensure products remain competitive and compliant.

The Data Product Analyst will own Signals data products, work with AI and Data Engineering, ensure data quality, conduct analyses, and shape product improvements through client feedback.

The Senior Product Analyst collaborates with Product Managers to analyze data, identify metrics, and provide recommendations to shape product strategy and improve customer experience.

Analyze life sciences supply chain and manufacturing workflows, identify improvements, and translate product vision into requirements, user stories, process maps, wireframes, prototypes, and documentation. Conduct industry research, support roadmap planning, collaborate with product, design, engineering, and client stakeholders, and participate in Agile activities including backlog grooming, sprint planning, and UAT. The role requires independent judgment, product analysis expertise, and supply chain or manufacturing domain knowledge.

Partner with Product, Design, Engineering, and Data to define KPIs and measurement for AI-powered features, guide instrumentation, design and evaluate experiments, build dbt models, create dashboards, and influence product analytics standards and long-term strategy.

The Product Analyst Intern will analyze data to support product strategy, optimize offerings, and communicate insights to stakeholders.

Supports product management lifecycle activities, including stakeholder needs analysis, business requirements, product roadmaps, backlog prioritization, process improvement, testing, defect management, and delivery governance. Collaborates with customers, vendors, designers, and IT partners to develop business solutions, analyze data and market trends, define product KPIs, ensure compliance, and deliver capabilities aligned with customer and business objectives.

Build and maintain product analytics dashboards, validate and QA event tracking, translate event data into analytics-ready datasets, run funnels/cohorts/retention analyses, support A/B testing, and surface actionable product insights to Product, Growth, and Data stakeholders.

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.

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.

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