Top Product Analyst Jobs in NYC, NY

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.

Support development, launch, and ongoing management of Wellington's 1940 Act fund range. Coordinate stakeholders across legal, compliance, operations, tax, and sales; track launch plans and governance; draft regulatory/disclosure documentation; identify process improvements; support fund changes and ad hoc platform-scaling projects while building subject-matter expertise in US Wealth fund structures and regulations.

As a Senior Product Data Analyst, you will analyze payment data, define metrics, design experiments, and provide insights to enhance product decisions.

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.

The Data Product Analyst will own Signals data products, work with AI and Data Engineering, ensure data quality, conduct analyses, and shape product improvements through client feedback.

Investigate product and UX friction using session recordings, support tickets, and analytics; prioritize fixes by business impact; prototype and ship solutions using AI tools; collaborate with product, engineering, and underwriting; measure outcomes and iterate.

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

Lead product analytics for Upsides consumer app: define KPIs and OKRs, design and analyze A/B tests, perform exploratory and root-cause analyses, forecast revenue impacts, build dashboards and data models, ensure robust instrumentation, and use AI tools to automate and scale experimentation and analytics workflows.

Partner with Product, Design, Engineering, and Data to define KPIs and measurement for AI-powered features, guide instrumentation, design and evaluate experiments, build dbt models, create dashboards, and influence product analytics standards and long-term strategy.

Support AI capability adoption through structured experimentation, prompt engineering, custom GPT configuration and testing, workflow prototyping, documentation of reusable exemplars, coaching and office hours, and capturing usage patterns to inform the AI Product Strategy team. Emphasis on reliable execution, technical fluency, and enablement across the Americas Center of Excellence.

Support AI capability and adoption through structured prompt experimentation, custom GPT testing, workflow prototyping, documentation of exemplars, and coaching colleagues to scale responsible AI use across the firm.

Supports client delivery and implementation of SitusAMC software in production environments. Documents specifications, configurations, user guides, and release notes; configures and tests applications; validates and routes software defects; analyzes requirements; demonstrates upgrades and enhancements; and conducts client and internal training. Provides customer liaison support through virtual and on-site service delivery while resolving issues and adapting to changing priorities.

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.

Supports the Texas Student Data System by resolving technical support tickets, creating accessible end-user documentation, and conducting user acceptance testing. The role tracks defects, coordinates with product and project management teams, analyzes customer feedback, and supports Education Service Centers and Local Education Agencies during peak data submission periods. This fully remote position also serves as a liaison between external customers and the Product Owner team.

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.

Provides overnight customer service and operational support for exchange members. Monitors and troubleshoots trading and clearing systems, investigates issues using internal and external tools, logs and responds to tickets, and coordinates resolutions across internal and external teams. The role requires trade desk or exchange operations experience, knowledge of U.S. equity markets, FIX and SBE protocol support, real-time monitoring, and basic SQL, Groovy, or Python querying.

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.

Lead advanced product analytics for a consumer product team by analyzing complex data, designing experiments, applying statistical and causal inference methods, developing metrics and reporting tools, and delivering actionable recommendations to cross-functional stakeholders and senior leadership. The role requires strong Python or R and SQL skills, product analytics experience, AI-assisted analytics proficiency, and the ability to influence product strategy.

Own product strategy, roadmaps, requirements, governance, executive reporting, AI innovation, legacy modernization, stakeholder alignment, and release readiness. Translate business objectives into user stories, process flows, acceptance criteria, and measurable delivery outcomes. Partner with customers, engineering, UX, QA, and business leaders to prioritize initiatives, manage risks and dependencies, validate solutions, and improve enterprise SaaS workflows.

Translates software and SaaS product initiatives into clear, testable requirements, including user stories, workflows, business rules, and acceptance criteria. Analyzes system behavior, dependencies, assumptions, and edge cases; collaborates with product, development, testing, and customer teams throughout Agile delivery. Maintains traceability, creates customer-facing documentation, supports product adoption, and uses AI-assisted tools to improve requirements analysis and documentation.

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.

Lead healthcare IT product implementations, evaluate post-deployment ROI, identify optimization opportunities, collaborate across engineering, operations, product, and leadership, maintain product roadmaps, support rollout operations, mentor team members, and apply SDLC knowledge to product evolution and delivery.

Support product leadership for an MGA pet insurance portfolio by delivering data-driven recommendations, enabling new product development, ensuring regulatory compliance, monitoring product performance and KPIs, and producing competitor intelligence and briefings to inform strategic decisions.

Research medical and surgical product categories, analyze product and market data, and create groupings that identify interchangeable products, substitutes, and cost-saving opportunities. Document clinical equivalence and financial implications, maintain accurate category frameworks, and support operations teams and customers with category-level procurement insights.