Product Analyst

What you’ll do

• Partner with Product Managers, Engineers, and Design and UXR to define success metrics and identify opportunities to drive user growth, engagement, and retention
• Own end-to-end analyses for well-scoped product initiatives, delivering insights that directly inform product decisions
• Execute experiment analyses (A/B tests, MAB, etc.) using established frameworks - properly interpreting statistical outputs, identifying issues such as sample ratio mismatch or insufficient power, and clearly communicating results to stakeholders
• Build and maintain dashboards and reports that support self-service insights across the team
• Develop data-driven narratives to communicate findings to both technical and non-technical audiences, translating data into actionable recommendations
• Analyze user behavior through quantitative methods, including funnels, cohorts, and user segments, to uncover patterns and opportunities
• Collaborate with Data Engineering and Product teams to identify event instrumentation needs and improve data quality and event reliability
• Leverage AI tools and assistants to accelerate and improve the quality of analytical work - from query generation and data exploration to summarizing findings and drafting communications
• Contribute to a culture of experimentation, statistical rigor, and continuous learning within the analytics organization

What you have

• 2-4 years of experience in analytics in a customer insights, marketing-adjacent, e-commerce, or B2C environment
• Proficiency in SQL for moderately complex queries, including JOINs, subqueries, and basic CTEs; BigQuery experience a plus
• Familiarity with Python or R for data manipulation and basic analysis, with the ability to grow independence over time
• Experience designing and analyzing A/B tests - correctly interpreting p-values, confidence intervals, and common pitfalls
• Working knowledge of product analytics platforms such as Amplitude, Mixpanel, or similar; comfortable running exploratory analyses and building basic funnels, cohorts, and user segments
• Solid statistical foundation, including hypothesis testing, confidence intervals, correlation vs. causation, and common statistical pitfalls
• Ability to create clear, accurate visualizations and build functional dashboards for team use
• Comfort using AI tools (e.g., ChatGPT, Claude, Claude Code, Codex, etc.) to augment analytical workflows - writing and debugging code, exploring data faster, and communicating findings more clearly
• Professional written and verbal communication skills, with the ability to present findings clearly to immediate stakeholders (PM, Engineering) and explain technical concepts to non-technical audiences
• Proactive communicator who manages expectations on their own work and builds trust with cross-functional partners

What makes you stand out

• Experience in a consumer-facing tech or B2C app environment (Fantasy, FinTech, or gaming a plus)
• Familiarity with experimentation platforms and modern data stacks
• Exposure to event taxonomy design or tracking plan concepts
• Demonstrated ability to apply AI tools to meaningfully improve analytical output or efficiency

Benefits

• Company-subsidized medical, dental, & vision plans
• 401(k) plan with company match
• Annual bonus
• Flexible PTO (2 weeks STRONGLY encouraged!)
• Generous paid leave programs, including 16-week paid parental leave and disability benefits
• Workplace flexibility and modern work schedules
• Company-wide in-person events and team outings
• Lifestyle enhancement program
• Company equipment provided (Windows & Mac options)
• Annual performance reviews with opportunities for growth and career development