Product Analyst

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At Prize Picks, we are the fastest‑growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter‑Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom.

Ready to reimagine the DFS industry together?

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.

• 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.

• 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;
  Big Query 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.

• Experience in a consumer‑facing tech or B2C app environment (Fantasy, Fin Tech, 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…