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 on
Translate business questions into data model requirements and coordinate with the Data Core team to build the layers that power analytical work across the game
Proactively surface insights for the product team, not just answering questions, but identifying what questions should be asked
Set and own the standards for how analytical findings reach designers, PMs, and Live Ops: format, cadence, and whether it actually influenced decisions

What 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 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

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Habilidades requeridas

A/B test design and evaluation (end-to-end)Statistical methods for causal inference and robust analysis when conditions are messyExpert SQL proficiencyProficiency in R or Python for data exploration and analysisKPI framework development from first principlesMobile game analytics with focus on retention and monetization mechanicsTranslating business questions into data model requirements / data architecture coordinationSetting and enforcing analytical methodology and quality standardsMentoring and team leadership for analystsProactive insight generation and product analytics (surfacing questions and opportunities)Communicating complex data as clear, actionable insights for technical and non-technical audiencesCross-functional collaboration with Product, Design, Live Ops, and Data Core teamsHigh autonomy, pragmatic problem-solving, and proactive execution

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