Top Remote Product Analyst Jobs

Analyze and support Medicare Advantage and prescription drug products, including CMS filings, benefit design, content automation, data integrity, competitive analysis, reporting, and product implementation. Partner with product management and cross-functional teams to develop member materials, ensure quality and compliance, facilitate strategic initiatives, and improve filing processes.

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.

Develop and enhance commercial insurance products by conducting market research, analyzing customer and competitive data, creating product strategies and roadmaps, and collaborating with underwriting, actuarial, claims, marketing, and operations teams. Responsibilities include product specifications, pricing strategies, policy language, rate revisions, underwriting guidelines, product launches, and internal training. The role requires strong insurance expertise, analytical decision-making, and customer focus.

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.

Analyzes personal lines insurance and digital product performance using SQL, BI tools, statistical methods, and financial modeling. Partners with product, experience, actuarial, finance, and operations teams to identify growth opportunities, optimize digital customer experiences, assess risks, support business cases, and influence leadership decisions. Applies AI and automation to improve analytical efficiency, communicates insights through presentations and reports, and mentors colleagues.

The Product Analyst manages requirements and system configuration for client migrations from a legacy platform to a next-generation platform. Responsibilities include eliciting requirements, creating user stories and process documentation, configuring and testing systems, supporting UAT, maintaining backlogs, troubleshooting defects, and coordinating clients, Customer Success, and engineering. The role also develops technical and operational documentation and supports conversion wave delivery.

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.

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 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.

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.

Supports modernization of a federal loan servicing platform through current-state analysis, stakeholder interviews, process mapping, requirements elicitation, capability and gap assessments, integration and data-flow mapping, and legacy function disposition analysis. Creates user stories, business rules, process flows, wireframes, and client deliverables in Jira and Confluence. Contributes to AI-assisted analysis, prototyping, automation opportunities, and evaluation of migration and decommissioning alternatives.

Analyze product and business data to guide product strategy, growth, customer experience, and experimentation. Responsibilities include funnel, cohort, retention, segmentation, monetization, dashboard, and reporting analysis; defining metrics; maintaining event tracking; troubleshooting data quality; integrating data from analytics, advertising, payment, and CRM systems; and documenting tracking plans and metric definitions.

Supports product development for patient access, engagement, and care continuity solutions. Translates business and clinical needs into requirements, user stories, and acceptance criteria; manages backlog updates; analyzes EHR and operational data; defines product KPIs; documents workflows; and supports agile delivery. Collaborates with Product, Engineering, Clinical Operations, Compliance, IT, and Data teams while contributing to roadmap planning, stakeholder communication, UAT, and process improvement.

Lead data-driven underwriting and insurance product initiatives, manage products across carrier partners, research growth opportunities, support E&S product development, coordinate implementations, and improve underwriting operations. The role partners across Insurance, Product, Claims, Data, and Operations to strengthen risk selection, compliance, controls, processes, and underwriting outcomes.

Lead advanced analytics for a consumer mobile app, using large datasets, statistical analysis, experimentation, causal methods, forecasting, and data mining to guide product and business decisions. Build performance metrics, reporting tools, and data pipelines; collaborate with cross-functional teams; present insights to senior leadership; and use AI-assisted tools to automate analytics workflows.

Supports LMS administration, learner support, reporting, data quality, business analysis, requirements gathering, process improvement, documentation, and technology enhancement initiatives. The role connects business stakeholders, Salesforce, LMS platforms, vendors, and IT teams; develops dashboards and insights; documents workflows and integrations; coordinates testing and implementation; and improves system usability, operational efficiency, data integrity, and customer and learner experiences.

Conduct complex quantitative analysis of property and casualty insurance products, evaluate product performance and trends, support pricing and rating reviews, prepare rate filing materials, and develop queries, dashboards, tools, and data strategies. Partner with Product Managers and Actuarial teams, communicate insights to stakeholders, recommend improvements, document workflows, and assist less experienced analysts.

Reviews insurance products, forms, rates, rules, and filings for regulatory compliance. Monitors legal and regulatory changes, analyzes business impacts, supports regulatory change management, reconciles compliance data, verifies statistical reports, prepares SERFF filings, and advises stakeholders on compliance risks. Requires strong research, analytical, communication, organizational, and problem-solving skills, along with knowledge of property and casualty insurance products.

Supports clinical foodservice technology implementations by programming applications, developing product requirements, troubleshooting issues, managing support processes, analyzing product data, coordinating hardware installations, training users, and collaborating with facility staff. The role serves as a clinical nutrition and technology subject matter expert while contributing to projects, stakeholder communications, sourcing, and application improvements.

Senior product analytics individual contributor embedded with product teams. Owns product measurement, metrics, funnels, experimentation, behavioral analysis, dashboards, tracking quality, and causal analysis. Partners with Product, Design, UX Research, and Data Engineering to influence roadmaps and decisions. Uses Claude and Claude Code to analyze data, automate workflows, build Streamlit tools, maintain semantic definitions, and support self-service analytics. Requires strong SQL, statistics, experimentation, dashboarding, and cross-functional communication skills.