Top Remote Product Analyst Jobs

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.

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.

Lead product analytics to improve user growth, engagement, retention, and revenue. Design and analyze A/B and multivariate experiments, perform funnel/cohort analyses, maintain KPIs and dashboards, ensure event tracking, leverage ML and AI tools for advanced analyses, and translate insights into product recommendations across cross-functional teams.

Own and evolve product metrics, investigate anomalies and conversion bottlenecks, validate hypotheses, and identify growth opportunities. Design, monitor, and analyze A/B tests, including sample sizing, randomization, guardrail metrics, tracking requirements, and actionable recommendations. Partner with Product and functional leads to prioritize high-impact problems, maintain metric definitions and experiment archives, and proactively identify data-quality issues.

Lead end-to-end product analytics: instrumentation, data quality, funnels, retention, and experimentation. Use SQL and Python for analysis, build dashboards, partner with product and growth, and improve analytics infrastructure (Amplitude and data warehouse migration). Remote with GMT+1 overlap.

Lead delivery for Billing and Data teams, manage backlogs, conduct UAT, ensure releases meet standards, and maintain platform knowledge.

Define and own the quality bar for Spotify's AI voice models. Design repeatable evaluation rubrics and run qualitative and MOS-style campaigns. Benchmark against competitors, synthesize findings, recommend improvements, and partner with voice, ML, product, and vendor teams to influence research and production priorities across languages and use cases.

Validate, reproduce, and triage vulnerability reports for web and mobile applications; assess severity and impact using CVSS and security frameworks; communicate findings and remediation to customers and researchers; leverage automation/AI workflows; collaborate cross-functionally and improve triage processes. Weekend shifts required occasionally.

Own product vision and roadmap for a cloud-native data platform on GCP. Translate business needs into epics and user stories, prioritize ETL/ELT, databases, streaming, and BI work, coordinate onshore/offshore teams, ensure data governance, quality, and analytics readiness, and drive adoption of Snowflake and DOMO-based analytics.

The Digital Analyst will transform data into insights, guiding product teams and enhancing player experiences through analytics and reporting.

Lead analysis, design, development, testing, debugging and production support for complex insurance application systems (OIPA/PAS). Mentor team members, resolve outages, implement SDLC practices, and support data migration and monitoring for a multi-year OIPA implementation.

Own reconciliation and validation of client billing across internal systems, build repeatable data-quality checks and documentation, support Client Group with reporting and dashboards, investigate discrepancies, and drive process improvements and automation to reduce billing friction.

Drive end-to-end product analytics for user growth and product strategy: define metrics, design and analyze A/B tests, handle PB-scale behavioral and transactional data, build dashboards, predictive models, and deliver actionable insights to product and business stakeholders.

Lead product development for commercial transportation insurance: perform market research, collaborate with underwriting/actuarial/claims, design pricing and policy language, maintain product roadmaps, drive launches, deliver training, and mentor staff to ensure competitiveness and profitability.

Entry-level Product Data Analyst internship supporting product analytics: build and analyze conversion funnels, evaluate A/B tests, create dashboards, respond to ad-hoc data requests, write SQL pipelines, monitor data quality, and translate findings into visual summaries to inform product decisions.

Support product actuarial work for life insurance by preparing experience reports, KPIs, and dashboards; analyze placement, persistency, claims, expenses, and underwriting outcomes; contribute to product development, pricing inputs, state filings, model validation, and cross-functional recommendations to support profitable growth.

Manage PLM/PIM systems and data (Centric, Pimberly), own product compliance (labeling, PFAS, CPSIA, CAFTA), execute EU Digital Product Passport requirements, run sustainability programs (certifications, RDS, Scope 3.1 data), and coordinate regulatory reporting and cross-functional stakeholders.

Provide product and commercial analytics to support GTM strategy, revenue reporting, ROI models, and packaging experiments. Build repeatable, documented BI assets and dashboards, automate commercial signals, and partner with Sales, Rev Ops, Product, and Customer Success to inform pricing, bundles, churn, and upsell decisions.

Design and build high-fidelity interactive prototypes and narrative product demonstrations. Collaborate with Product, UX, Engineering, and GTM teams to translate requirements into reusable, polished experiences using modern prototyping and AI-assisted tools. Maintain prototype libraries, participate in product planning and reviews, and create future-state concepts to support commercialization and storytelling.