Product Analyst

• Design and run A/B tests, sequential tests, and other experimental frameworks from first principles — not just platform configuration.
• Apply statistical methods including causal inference, Difference-in-Differences, propensity score matching, and regression discontinuity to measure the true impact of product changes.
• Make confident, well-reasoned recommendations when data is ambiguous or experiments are inconclusive — this role requires decision-making under uncertainty, not just analysis.
• Partner with product managers, engineers, and designers to define hypotheses, success metrics, and data requirements before experiments begin.
• Determine when not to run an experiment — understanding the limitations of your methods is as important as knowing how to apply them.
• Build internal models and analytical frameworks to answer product questions that do not yet have data behind them.
• Communicate complex statistical findings clearly to both technical and non-technical stakeholders, including making the case for go/no-go product decisions.
• Contribute to raising the bar for how experimentation is done across the team.

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Senior Product Analyst – A/B Testing, Experimentation