Top Remote Product Analyst Jobs

Investigate payment issues end-to-end, perform root-cause analysis, quantify revenue impact, produce written recommendations, partner with analytics, revenue, support, and carrier teams, and translate findings into prioritized product opportunities.

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.

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.

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 teams to run experiments, analyze product and funnel data, build and maintain analytics tracking, validate analytics solutions, and deliver actionable insights to inform roadmap and product decisions.

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 Data Analyst will analyze data to provide insights for product and team growth, build dashboards, conduct A/B tests, and collaborate with multiple teams to influence product strategy.

Drive discovery and delivery readiness for Yearbook Technology products: translate stakeholder and customer needs into epics, features, and user stories; manage backlogs in Jira/Confluence; coordinate cross-functional teams; support UAT, roadmap planning, and agile delivery improvements to reduce ambiguity and improve execution.

The Senior Product Development Analyst will support the term life insurance line through product development, pricing, data analysis, management reporting, and training in both English and Spanish, while liaising with multiple departments.

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

The Lead Analyst, Product Compliance ensures compliance in product lifecycle, conducts risk assessments, collaborates with teams, and develops compliance processes for Circle's Payments product.

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.

The Sr State Product Analyst provides analytical support for strategic goals, analyzes performance data, and implements processes for financial planning and market development.

Lead product analytics for Pinner engagement: design measurement frameworks, run A/B and multivariate experiments, build dashboards, analyze product and marketing performance, and communicate actionable insights to cross-functional stakeholders to drive product adoption and lifecycle strategy.

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

The Product Analyst will write API specifications, document API functionality, collaborate across teams for data mapping, and analyze API usage for improvement opportunities.

Provide technical and functional support for the IMS (OnBase) platform by troubleshooting application issues, resolving customer incidents, and communicating status. Serve as primary case owner, collaborate with Development/QA, document troubleshooting and resolutions, follow escalation procedures, mentor peers, and contribute to knowledge sharing and continuous improvement.

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.

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.

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 and monitor business systems, coordinate upgrades and UAT within an Agile flow, act as liaison across departments, respond to KACE tickets, and contribute to systems design, configuration, and implementation to meet organizational needs.

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.

Bridge supply chain domain and engineering teams to define, prioritize, and deliver Supplier Order Orchestration and Customer/Supplier Collaboration features. Produce requirements, user stories, acceptance criteria, and technical documentation; analyze customer and market data; monitor product usage with analytics tools; support sprint/release execution, demos, and cross-functional handoffs; and measure feature impact post-release.

Gather and document business and functional requirements, create user stories and acceptance criteria, support Agile product backlog and sprint activities, conduct stakeholder elicitation and process/gap/impact analyses, coordinate UAT and QA, track product performance and recommend enhancements, and produce BRDs/FRDs and process flows.