Senior Experimentation Analyst — Hybrid, Barcelona

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.

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.

Exposure to incrementality testing, causal-impact models, geo-based experiments, or approaches beyond classic A/B holdouts.

Experience with an experimentation platform (e.g., Statsig).

Experience supporting a Lifecycle Marketing, CRM, or retention function.

Experience in a two-sided marketplace.

Familiarity with any of our stack: Amazon Redshift, dbt, Mode, Statsig, Amplitude, Iterable, or Hightouch.

Experience putting agentic AI tools (e.g., Claude) to work in your analytics workflow — to speed up SQL, analysis, or documentation.