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 Medicare Advantage eligibility and benefit data, supporting vendors, internal stakeholders, and downstream reporting. Investigate production data issues, implement data exchanges, validate and reconcile eligibility and utilization data, and perform ad-hoc analyses using SQL Server and Snowflake. Collaborate with product, IT, account, and business teams to define requirements, deliver scalable data solutions, communicate project status, and provide technical leadership.

Analyzes personal auto insurance performance across assigned states, identifying trends, pricing opportunities, competitor impacts, and product improvements. Provides strategic recommendations, conducts state and market reviews, supports implementations, and leads moderate- to high-complexity workstreams. Partners with state, IT, distribution, and product teams; develops training materials, educates stakeholders, mentors junior analysts, and supports business decisions affecting pricing, growth, and profitability.

Analyzes personal auto insurance data, pricing, competitor filings, market trends, and product performance across assigned states. Provides strategic recommendations, supports state and nationwide product initiatives, leads complex workstreams, and partners with business, IT, product, and distribution teams. Develops tools, training materials, and sessions while mentoring junior analysts and supporting implementation of product changes.

Develops and improves property and casualty insurance products by researching market trends, regulations, competitors, and bureau programs. Evaluates coverage, drafts policy forms, supports regulatory filings, contributes to strategic product roadmaps, and provides product guidance to underwriting, claims, pricing, compliance, and other teams. The role also analyzes product performance, communicates recommendations, articulates system requirements, and mentors Product Analysts.

Provides entry-level technical customer support for Deluxe software, monitoring application queues, managing support tickets within SLA guidelines, documenting customer interactions, resolving client cases, and communicating updates. The role requires basic troubleshooting, scripting, software and product knowledge development, and participation in collaborative case-resolution activities.

Analyzes personal lines insurance and digital product performance using SQL, BI tools, statistical methods, and financial modeling. Partners with product, experience, actuarial, finance, and operations teams to identify growth opportunities, optimize digital customer experiences, assess risks, support business cases, and influence leadership decisions. Applies AI and automation to improve analytical efficiency, communicates insights through presentations and reports, and mentors colleagues.

Supports the Digital Commerce team through requirements gathering, user story creation, Agile ceremonies, technical design collaboration, wireframe development exposure, testing coordination, troubleshooting, and deployment planning. The intern works with product owners, product managers, business users, developers, UX leads, testers, and vendors while gaining practical product analytics experience in the food distribution industry.

Supports the Supply Chain Technology team by gathering business requirements, documenting user stories, participating in Agile ceremonies, collaborating on technical designs and wireframes, supporting testing and troubleshooting, and assisting with deployment planning. The intern works under direct supervision while gaining practical product analytics experience.

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.

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.

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.