Top Remote Product Analyst Jobs

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.

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.

Drive product and performance analytics for mobile app user acquisition: define core metrics, analyze campaign and product trends, build dashboards and data pipelines, support experiments and ML teams, automate reporting (including AI-powered workflows), and communicate findings and recommendations to 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.

Build and maintain the product analytics data foundation: design scalable dbt models, define semantic models and governed metrics, partner with Engineering on instrumentation, certify datasets for BI tools, monitor pipelines and data quality, and use AI to accelerate analytics engineering workflows.

Lead end-to-end market research projects, analyze labor market, enrollment, demographic, employer demand, and competitive data; build dashboards and visualizations; synthesize quantitative and qualitative findings into actionable recommendations to inform product and business strategy.

Lead delivery of SAP PLM-to-S4 HANA integrations across blueprint, build, test, cutover and hypercare. Drive requirements gathering, data mapping, configuration, testing and go-live support using SAP PLMSI, IDocs/APIs and product master data management to harmonize Plan-to-Sustain processes.

Identify and validate high-value AI use cases for financial services, lead discovery workshops, build ROI-driven business cases, map and redesign workflows, define technical requirements and acceptance criteria, prototype solutions with no-code tools, implement AI governance and ontologies, and ensure business-aligned delivery and compliance.

Lead product analytics efforts to define KPIs, build measurement frameworks, analyze customer behavior, and generate insights that influence product and engineering decisions. Partner with Product, Engineering, and Data teams to design event tracking, run experiments, quantify opportunity sizes, and communicate recommendations through clear narratives and visualizations to drive product adoption, retention, and business outcomes.

Serve as the bridge between business stakeholders and technical teams: gather and document requirements, write user stories and acceptance criteria, manage and prioritize product backlog, facilitate Agile ceremonies, coordinate cross-functional delivery, support UAT, and validate delivered solutions.

The Senior Product Analyst will oversee product analytics projects, collaborating with teams to develop KPIs, conduct A/B testing, and provide data-driven insights to enhance decision-making.

The Senior Data Analyst will conduct quantitative analysis, optimize products through data insights, and lead A/B testing in collaboration with various stakeholders.

Manage complex ecommerce product programs, conduct financial modeling and market analysis, and collaborate with cross-functional teams.

The role involves drafting policy language, developing rules for insurance products, reviewing regulations, and collaborating with various stakeholders in product development, ensuring compliance and product quality.