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.

Develop math design data and virtual layouts for Seats subsystems and components using NX and CAD. Perform virtual integration, analyze vehicle and part data, apply manufacturability and Design for Assembly, and support program reviews. Collaborate with engineers, document specifications, and ensure timely, high-quality math data releases.

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

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.

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

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.

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.

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.

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.

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.

Analyze insurance sales, claims, and other metrics to support pricing and product/state management. Develop statistical analyses, model underwriting/pricing practices, present findings, and recommend solutions to stakeholders to inform business strategy.

Support product development to improve patient access, engagement, and outcomes. Translate clinical and business needs into requirements, maintain backlog, analyze EHR and operational data, define KPIs, support agile ceremonies, liaison with cross-functional teams, and produce documentation, release notes, and training materials.

Analyze player and product data to inform product and marketing decisions: build metrics dashboards, design and analyze A/B tests, monitor user behavior, perform deep-dive analyses, and recommend data-driven product improvements.

Translate product requirements into ML-actionable specifications; scope and plan data acquisition and labeling; run model and training evaluations and make go/no-go recommendations; maintain exemplar output library; coordinate large-scale assessments, track regressions, and serve as primary product liaison to the ML team.

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.

The Data Product Analyst designs and manages data products for insurance domains, ensuring they meet analytical and compliance standards while collaborating with cross-functional teams.

As a Lead Product Analyst at TriNet, you will enhance operational excellence across the product lifecycle, drive product methodologies, and provide data-driven insights for strategic decision-making.

The Product Analyst will design experiments, analyze user behavior, and communicate insights to drive engagement and retention decisions effectively.

The Staff Data Analyst will build Boulevard's product data foundation, create data-driven recommendations, develop dashboards, conduct deep analyses, and foster a data-driven culture within the organization.

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.