Lead Data Analyst

We are looking for a Lead Data Analyst, someone who is strong on in defining what healthy looks like, challenging investment decisions with data and setting the standard.Your responsibilities:Elevate the bar for the team, set methodology standards, challenge analytical approaches, and mentor analysts on quality, rigor.Own the A/B test framework end to end: design, evaluation methodology, and standards for how results are interpreted and acted onTranslate business questions into data model requirements and coordinate with the Data Core team to build the layers that power analytical work across the gameProactively surface insights for the product team, not just answering questions, but identifying what questions should be askedSet and own the standards for how analytical findings reach designers, PMs, and Live Ops: format, cadence, and whether it actually influenced decisionsWhat we are looking for:Experience in mobile gaming analytics, worked on live games across the full release cycle, with direct experience in retention and monetization mechanics influencing outcomesStrong statistical foundations: designed and evaluated A/B tests end to end, and knows what to do when conditions aren’t cleanTrack record of building KPI frameworks from first principles, defining what matters for the specific game and context rather than defaulting to industry conventionEvidence-first: forms strong positions from data, defends them under pressure, but stays open to changing course when the evidence calls for it, the goal is to be correct, not just right.Able to translate complex data into clear, actionable insights for both technical and non-technical audiencesExpert proficiency in SQL and either R or Python for data exploration and analysisHigh autonomy, low maintenance: figures things out quickly, meticulous about what matters, moves with pragmatism and proactivityBased Paris or Barcelona along with a hybrid working model#J-*****-Ljbffr

Experience in mobile gaming analytics, worked on live games across the full release cycle, with direct experience in retention and monetization mechanics influencing outcomes Strong statistical foundations: designed and evaluated A/B tests end to end, and knows what to do when conditions aren’t clean Track record of building KPI frameworks from first principles, defining what matters for the specific game and context rather than defaulting to industry convention Evidence-first: forms strong positions from data, defends them under pressure, but stays open to changing course when the evidence calls for it, the goal is to be correct, not just right. Able to translate complex data into clear, actionable insights for both technical and non-technical audiences Expert proficiency in SQL and either R or Python for data exploration and analysis High autonomy, low maintenance: figures things out quickly, meticulous about what matters, moves with pragmatism and proactivity Based Paris or Barcelona along with a hybrid working model