Top Remote Product Analyst Jobs

Executes and improves eDiscovery data-processing workflows using Nuix, RelativityOne, and related platforms. Responsibilities include workspace configuration, data investigation, quality control, publishing, exception remediation, documentation maintenance, troubleshooting, team training, timeline estimation, and cross-functional coordination. The role supports defensible EDRM-aligned processing, client commitments, and continuous process improvement in a deadline-driven environment.

Supports product management for government insurance products by ensuring regulatory compliance, defining complex product requirements, preparing design specifications, providing product training and subject matter expertise, and leading market and competitor analysis. The role focuses on Medicare-related offerings and requires collaboration on product strategy, enhancements, and internal policies.

Owns Simbe’s product data management and Arena PLM administration for robotic hardware programs. Responsibilities include authoring and driving ECOs, MCOs, and deviations through approval; maintaining item masters, BOMs, approved vendor lists, part lifecycles, and documentation integrity; enforcing revision, numbering, and change-control standards; and coordinating implementation with Engineering, Operations, Supply Chain, suppliers, and contract manufacturers.

Develops and improves property and casualty insurance products by researching market trends, regulations, competitors, and bureau programs. Evaluates coverage, drafts policy forms, supports regulatory filings, contributes to strategic product roadmaps, and provides product guidance to underwriting, claims, pricing, compliance, and other teams. The role also analyzes product performance, communicates recommendations, articulates system requirements, and mentors Product Analysts.

Own product measurement and experimentation, including A/B test design and analysis, user behavior investigation, conversion and retention analysis, launch measurement, metric definition, workflow automation, and data pipeline development. Partner with growth, product, engineering, leadership, and data teams to turn insights into product decisions and recommendations.

Supports the Digital Commerce team through requirements gathering, user story creation, Agile ceremonies, technical design collaboration, wireframe development exposure, testing coordination, troubleshooting, and deployment planning. The intern works with product owners, product managers, business users, developers, UX leads, testers, and vendors while gaining practical product analytics experience in the food distribution industry.

Supports the Supply Chain Technology team by gathering business requirements, documenting user stories, participating in Agile ceremonies, collaborating on technical designs and wireframes, supporting testing and troubleshooting, and assisting with deployment planning. The intern works under direct supervision while gaining practical product analytics experience.

Leads enterprise product evaluations, implementations, integrations, and adoption initiatives. Manages cross-functional projects involving AI, automation, system modernization, and third-party platforms. Translates business requirements into implementation plans, develops business cases and ROI analyses, coordinates vendors and stakeholders, prepares executive communications, assesses risks, and supports organizational change and user adoption.

Leads enterprise product and technology integrations, cross-functional projects, AI and automation initiatives, business analysis, vendor coordination, executive communications, and change adoption. Develops requirements, implementation plans, business cases, risk strategies, and executive reporting while ensuring initiatives meet scope, schedule, compliance, and organizational objectives.

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.

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.

Own product analytics strategy across high-impact product areas, identifying growth opportunities and shaping product and executive decisions. Lead experiment design, guardrails, causal inference, power analysis, and cross-experiment interpretation. Validate and improve AI-generated analyses, develop customer and business insights, and connect patterns across data sources. Partner with product, design, engineering, and leadership while raising standards for analytical rigor and AI-assisted workflows.

Leads product costing, standard cost development, variance analysis, profitability modeling, and financial support for new product introductions. Partners with engineering, manufacturing, operations, supply chain, product management, and finance to evaluate costs, yields, capacity, investments, and process improvements. Identifies cost-reduction opportunities, assesses operational performance, develops business cases and ROI analyses, and presents data-driven recommendations to management.

Analyze and connect complex datasets to generate actionable business insights and improve data products. Gather and manage requirements, document processes, define acceptance criteria, support testing, and collaborate with engineering and data teams. Serve as a data subject matter expert while advancing data quality, stewardship, lineage, metadata management, and stakeholder alignment across digital, direct-to-consumer, sports, fan, and business use cases.

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.

Analyzes and implements state-specific insurance product and rate changes from initial analysis through regulatory filing and system implementation. Reviews market and competitor trends, develops recommendations, supports product and process improvements, collaborates with insurance departments and internal stakeholders, and mentors junior analysts. The role requires strong quantitative skills, Excel proficiency, dataset preparation, communication abilities, and preferably property and casualty insurance, actuarial ratemaking, and SQL experience.

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

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.

Research newly launched technology products, create and maintain accurate Magento product listings, update specifications and pricing, audit catalog data, validate information using AI-powered tools, and monitor competitors. The role requires strong attention to detail, product research and analytical skills, familiarity with e-commerce platforms, Microsoft Office proficiency, and the ability to manage multiple deadlines.

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.

Lead analytics for clinical decision support adoption and engagement: define metrics, query event-level usage, build dashboards, analyze funnels and cohorts, partner with product and cross-functional teams, and translate findings into actionable product recommendations to improve adoption and outcomes.

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.