Senior Experimentation Analyst

Responsibilities

• Own experiments end-to-end. From scoping the hypothesis and picking the right measurement, to running the analysis, to writing up and socializing the result — including harder cross-channel and retargeting tests where the measurement isn't obvious.
• Advance our measurement framework. Lead incrementality work, stratified holdouts, and attribution‑calibration refinement, and help figure out what comes next when our holdout strategy hits its limits.
• Scale how we test. Raise the bar on experimental design, sample‑size rigor, and our testing cadence across marketing functions.
• Write SQL against large event‑based datasets and pressure‑test analytical approaches across the team.
• Root‑cause the metrics, connecting experiment results to demand‑and supply‑side dynamics in a two‑sided marketplace, and bring a clear narrative to decision‑makers.

Requirements

• 3+ years using data to drive business impact, including partnering cross‑functionally to act on findings.
• Strong SQL, including complex queries on large datasets and reviewing others' code.
• Solid statistical grounding with Python or R — hypothesis testing, regression, sample size — and a feel for the trade‑offs between measurement approaches.
• Proven experience owning A/B testing end‑to‑end: design, sample size, analysis, and write‑up.
• Genuine curiosity about measurement problems and comfort sitting with ambiguity while you work them out.
• A clear communicator who makes complex analysis land with technical and non‑technical audiences.

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