Top Remote Product Analyst Jobs

Monitors and reconciles data integrations between the Catalyst Claims Platform, HRIS/HCM systems, and customer Workday environments. Identifies and resolves data discrepancies, integration errors, and file-feed issues using Excel, EIB processing, and system updates. Partners with customers and internal teams, supports HRIS implementations, prepares operational reporting, uses AI tools for analysis and validation, and mentors new analysts. Requires disability or leave claims experience, HRIS integration knowledge, advanced Excel skills, troubleshooting, communication, and collaboration.

Analyzes performance for motorcycle, RV, watercraft, and classic car insurance products; identifies trends, evaluates competitors and regulatory filings, recommends product improvements, and supports strategic initiatives. The role queries data, builds analytical tools, manages projects, presents findings to product managers, and collaborates with underwriting, actuarial, regulators, and business stakeholders to drive profitable growth.

Analyze product funnels and user behavior to identify growth opportunities, improve customer and business outcomes, and guide product decisions. Partner with product, design, engineering, and analytics teams to track hypotheses, report key metrics, reconcile data discrepancies, maintain analytics and experimentation catalogs, and communicate actionable insights. The role requires strong SQL, visualization, experimentation, and cross-functional communication skills in a fintech or e-commerce environment.

Maintain Pendo product analytics, including tagging, configuration, dashboards, reports, and data quality. Analyze product usage, feature adoption, and customer behavior to support Product Managers. Investigate trends, answer analytics questions, supplement Pendo data with Grafana and BI sources, and support KPI and OKR reporting. The role requires clear communication, strong analytical skills, and collaboration across an international team, with potential growth into Product Ownership.

Analyze product and business metrics, evaluate feature profitability, conduct A/B tests, and recommend product improvements. The role maintains analytics documentation, collaborates with Data Department teams, ensures product data quality, optimizes data flows, and creates analytical data marts and BI reports using Python, SQL, and visualization tools.

Provides technical customer support for Deluxe software by resolving complex cases, troubleshooting issues, documenting interactions, meeting service-level objectives, managing escalations, participating in triage meetings, and mentoring peers. The role requires scripting, PC troubleshooting, operating system, networking, antivirus, and Microsoft Office knowledge.

Supports development, testing, reliability, and release readiness for a metadata and digital asset distribution platform. Translates business needs into requirements and acceptance criteria, analyzes workflows and integrations, executes functional and regression testing, investigates defects, troubleshoots production issues, monitors system processes, and maintains technical and testing documentation. Collaborates with business stakeholders, analysts, and technology teams in an Agile environment to improve system reliability and functionality.

Analyzes and manages Medicare Advantage eligibility, utilization, and benefit data. The role validates data accuracy, supports vendor data exchanges, troubleshoots production issues, performs SQL-based ad hoc analysis, and ensures compliance with CMS and organizational standards. It collaborates with product owners, vendors, IT teams, and business stakeholders to design scalable data solutions, communicate findings, manage requirements, and drive projects to completion.

Analyzes user behavior, product features, experiments, conversion, subscriptions, churn, and customer lifetime value. Builds dashboards, reporting systems, analytical tools, and LLM-powered automation for Product teams. Conducts advanced A/B testing, causal inference, machine learning modeling, and ad hoc analysis to generate actionable recommendations. Partners cross-functionally to define metrics, communicate insights, and improve product decisions.

Conduct complex quantitative analysis of property and casualty insurance products, evaluating performance, pricing, underwriting, trends, and KPIs. Develop dashboards, queries, data strategies, workflows, and analytical tools; present insights to executives and stakeholders; lead product and rating reviews; manage complex projects and filing workflows; collaborate with Product and Actuarial teams; mentor analysts; and recommend improvements to product strategy, data infrastructure, and processes.

Analyzes property and casualty insurance product performance, trends, and issues; develops recommendations for profitable growth; supports rate and form filings, product reviews, reporting, and data-driven tools. The role queries databases, documents workflows, manages small to medium projects, and collaborates with product managers, actuaries, and vendors to translate quantitative and qualitative data into actionable insights.

Leads insurance product-related projects from strategy and product vision through implementation. Provides market and competitor analysis, supports product roadmaps and launch plans, coordinates regulatory, legal, operational, communications, marketing, and system integration activities, and oversees product design and administration. Ensures compliance with insurance regulations and company policies while advising product managers and mentoring stakeholders.

Support maintenance, monitoring, and enhancement of commercial and personal lines insurance products. Draft and coordinate forms, endorsements, rates, and rules; prepare and submit filings and statistical reports; manage ISO reporting; implement regulatory changes; monitor industry trends; provide cross-functional guidance to ensure products remain competitive and compliant.

Analyze and certify conversational AI queries and answers against source data. Improve prompts, semantic layers, taxonomies, metadata, and labeling so Prism accurately interprets life sciences data. Collaborate with Product Management, Data Science, Engineering, QA, and business owners to identify data-quality issues, define technical requirements, document business logic, create accuracy test cases, and inform the product roadmap.

Analyzes and certifies AI-generated answers for Prism, a conversational analytics platform for life sciences data. Reviews prompts and queries, validates results against source data, improves semantic layers and data models, identifies recurring quality issues, documents business logic, writes technical requirements, and collaborates with Product Management, Data Science, Engineering, QA, and business stakeholders.

Launch and scale customer, KYC, and payment operations across European markets, beginning in the Netherlands. Manage BPO partners, oversee SLAs and operational metrics, produce KPI reports, optimize and automate service delivery, support AI-based customer support initiatives, and coordinate issue escalation among internal teams, vendors, and partners.

Provides expert analysis and implementation support for life and annuity products. Develops and maintains validation tools and calculators, supports product roadmaps, creates product specifications and system requirements, and coordinates Model Office/UAT testing. Analyzes data, validates product functionality across administration and illustration systems, supports remediation and policyholder requests, and advises on marketing materials. Requires strong insurance product knowledge, analytical skills, and expertise with Excel, SQL, and VBA.

Own product, content, subscription, and growth analytics for adult product lines. Analyze conversion, retention, churn, cohorts, and LTV; maintain reporting; create measurement plans; support experimentation; and deliver recommendations to Product, Engineering, Content, and Design. Use SQL, visualization tools, statistical methods, and AI-assisted workflows while validating results and documenting work.

Serves as a client and user contact, providing product guidance, addressing inquiries, and supporting adoption. Develops expertise in product functionality and client policies, analyzes feedback and usage trends, identifies improvement opportunities, and communicates actionable insights to internal teams. Proactively helps mitigate engagement and product issues while supporting continuous product development and improved customer experience.

Lead product experimentation and analytics across three product squads. Design experiments, define product metrics, analyze patient and clinician behavior, build dashboards, apply causal inference, and communicate actionable insights. Partner with product, engineering, design, clinical, operations, and data teams to improve instrumentation, data quality, and evidence-based healthcare product decisions.

Own product analytics for Substack by improving understanding of users, growth, and product performance. Partner with product managers, leadership, and engineers to define metrics, guide strategy, improve data infrastructure, and communicate insights. Build dashboards and analyses using advanced SQL and BI tools, and apply experimentation and product growth frameworks such as retention curves, cohort analysis, and growth accounting.

Owns business analysis for product creation technology systems spanning PLM, ERP, supply chain, planning, allocation, and B2B platforms. Responsibilities include requirements documentation, UAT leadership, regression testing, system troubleshooting, integration analysis, Agile delivery support, change management, training, and cross-functional stakeholder coordination. The role serves as a liaison between business users, product managers, engineers, vendors, and QA teams while supporting system enhancements and resolving complex data and workflow issues.

Owns fraud and market-abuse detection models, rules, and partner-facing surveillance reporting across trading data. Investigates wash trading, collusion, hedging, reverse trading, and other suspicious activity; calibrates thresholds, validates false positives, maintains data quality, and produces evidence-based findings. Requires strong SQL, cloud data warehouse experience, futures and derivatives knowledge, anomaly detection expertise, and the ability to communicate findings to partners and executives.

Owns analytics for BILL’s payments products, setting the measurement agenda, defining KPIs and OKRs, building production-grade dbt models, and conducting experimentation and causal inference. Partners with Product, Engineering, Finance, Marketing, and leadership to identify opportunities, improve data quality, automate reporting, and influence roadmap decisions. Presents executive insights and defends metric definitions and recommendations.

Lead Flag Football data-source discovery, integration, and onboarding across global partners. Manage the data roadmap, requirements, schemas, quality processes, milestones, risks, and stakeholder communications. Partner with technical and business teams to operationalize data platforms, identity management, consent-aware practices, participation measurement, and reporting. Enable analytics connecting participation data with fan engagement, retention, and fandom outcomes.