Senior Product Analyst

About the Role

We're looking for a curious, data-driven analyst who thrives at the intersection of product and analytics. You'll be a key thought partner to our product teams — turning complex data into clear decisions and advocating for our members through every insight you surface.

Duties & Responsibilities

• Champion a data-driven culture across product teams by setting standards for measurement, instrumentation, and insight communication
• Partner closely with Product Managers to define feature success metrics, implement event tracking, build dashboards, and analyze A/B experiment results
• Proactively conduct exploratory analyses and deep-dive research on large datasets to uncover high-impact opportunities in risk, fraud detection, and pricing
• Serve as the go-to expert for product data — answering complex questions quickly and translating findings into clear, actionable insights for stakeholders and executives
• Communicate not just what the data shows, but what it means — delivering recommendations with confidence to senior leadership
• Advocate for our members by ensuring their needs are represented in every product decision informed by data

Qualifications & Skills

• 4+ years of experience in data analysis, data science, or data-driven product management
• Expert-level SQL skills, with the ability to work across large, complex datasets
• Strong proficiency with data visualization tools (e.g. Snowflake, Mode, Tableau) to convey insights to both technical and non-technical audiences
• Proven ability to independently build clear, compelling data visualizations that communicate trends, patterns, and recommendations to a range of audiences
• Solid experience with A/B testing and experimentation frameworks and best practices
• Working knowledge of statistical techniques including linear and logistic regression, confidence intervals, and chain ladder methods
• Proficiency in Python or R for scripting, automation, and advanced analysis
• Familiarity with enterprise business systems (e.g. ERP, CRM, or product platforms) and an understanding of how operational data flows inform product analytics

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