Top Remote Product Analyst Jobs

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.

Supports product marketing operations through KPI tracking, dashboard development, reporting, and ad hoc analysis. Measures content adoption, seller engagement, sales play utilization, pipeline influence, and win-rate differences. Synthesizes field feedback, call intelligence, and deal outcomes into actionable insights for PMM and sales leadership. Maintains weekly and quarterly reporting cadences, identifies anomalies and blockers, and recommends areas for investment or improvement.

Own end-to-end product analytics for MONOPOLY GO!’s Minigame Vertical. Analyze player behavior, game performance, KPIs, and complex datasets; define metrics, establish tracking and reporting, design A/B tests, and deliver actionable recommendations. Partner with product, data platform, data science, and game teams to influence roadmaps, optimize game economies, improve player engagement, and communicate insights through presentations and reports. Use AI-powered tools to accelerate analysis and improve analytical artifacts.

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.

Assesses and optimizes product performance through metrics, dashboards, user research, behavioral analysis, and stakeholder feedback. Recommends product enhancements, documents findings, serves as a product subject matter expert, supports pilot and early-adopter programs, develops product documentation, educates stakeholders, and helps diagnose product issues throughout the lifecycle.

Translates business needs into requirements, user stories, acceptance criteria, process flows, and data specifications. Supports product backlogs, sprint ceremonies, release validation, and Azure DevOps work-item management. Partners with product managers, engineers, and stakeholders to identify workflow improvements, communicate risks and dependencies, and maintain documentation. Contributes to product analytics by defining KPIs and interpreting usage data.

The Senior Product Design Transfer Analyst is responsible for transferring product information for production release, collaborating with teams for documentation accuracy, leading problem-solving efforts, and identifying process improvements.

Lead product analytics: build and maintain dbt models and Looker dashboards, define KPIs, analyze funnel and user journeys, design and evaluate A/B tests, size roadmap impact, and deliver partner and ad-hoc insights to inform product and executive decisions.

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.

Own end-to-end analytics for the Pro product: build production data pipelines and dbt models, define north-star metrics, design dashboards and full-funnel reporting, lead A/B experimentation and causal inference, embed AI tooling, and deliver clear data-driven recommendations to product and leadership.

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.

Assess finance tasks and workflows for professional realism, clarity, and completeness. Identify missing assumptions, ambiguities, edge cases, and impractical constraints. Validate workflow logic, evaluate whether tasks measure professional finance capabilities, and provide concise, structured written feedback and improvement recommendations while collaborating with other finance experts during a high-engagement remote sprint.

The Data Analyst will optimize marketing funnel metrics, conduct analyses, manage dashboards, and promote data-driven decision-making within the team.

The role involves managing cybersecurity compliance, coordinating audits, and supporting product certification while fostering customer relationships.

Serve as product owner/analyst for financial software: elicit and prioritize business requirements, define user stories, lead SDLC activities, create test plans and UAT, train users, resolve production issues, and guide other analysts to ensure successful implementations.

Provides post-go-live client support for SitusAMC software, triages and routes production issues, tracks resolutions, and supports UAT, QA, regression, configuration, workflow, integration, and release testing. Delivers client and internal training, validates defects, assists with implementation and production readiness, and develops expertise in software functionality and client workflows. The role requires mortgage or capital markets industry experience, client-facing software support experience, strong communication, organization, analytical judgment, and proficiency with Microsoft Office.

Serve as the compliance SME for HSA, FSA, and HRA products: review marketing and customer content, lead compliance risk assessments (including AI tools), advise product and ops teams on transaction and regulatory issues, monitor regulatory changes, support escalations and audits, and recommend controls and remediation for identified risks.

Lead development and management of commercial transportation insurance products, conducting market research, setting pricing strategies, defining product specifications, and coordinating launches. Collaborate with underwriting, actuarial, claims, marketing, and operations to drive product enhancements, train stakeholders, and ensure regulatory and competitive alignment. Provide senior-level guidance and may manage or coach staff.

Lead product analytics across multiple products: own event tracking, funnel analysis, A/B testing framework, AI/LLM-driven insights, dashboards, and reporting. Ensure data quality, define KPIs, run experiments, automate monitoring, and collaborate with Product, Engineering, Marketing, and leadership to drive data-driven decisions.

Lead design, development, implementation, and support of Oracle PIM and Inventory solutions. Configure modules, build integrations and custom extensions, enforce data quality and governance, manage migrations, tune performance, resolve production incidents, and collaborate with cross-functional teams to deliver technical PIM deliverables and documentation.

Analyze product data to guide roadmap decisions, evaluate AI-powered capabilities, design experiments, build dashboards, and identify customer behavior patterns. Partner with Product, Engineering, and Design to define metrics, improve instrumentation, uncover friction points, and communicate insights that improve product outcomes and customer success.