We're looking for a Product Analyst to deliver data-driven insights that help product teams make confident, evidence-based decisions. In this role, you will own end-to-end analyses independently, build dashboards that track product health, and execute experiments that inform the roadmap. You'll be a reliable analytical partner to Product, Engineering, and Design - translating data into clear stories that drive action.

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.

Where you’ll live:

• This is a hybrid position based at our PrizePicks headquarters in Atlanta, GA. #LI-Hybrid