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- 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
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- 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.