Lead Data Analyst

Madbox; Paris; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Relocation support

Visa sponsorship

Housing hunting assistance

Pets included

Job summary

Madbox is seeking a Lead Data Analyst for Pocket Champs in Paris. You will shape analytics strategy, own A/B test design, and translate data into actionable insights for designers, PMs, and Live Ops.

You’ll collaborate across Data Core, Web Tech, and AI teams while mentoring analysts and defining KPI standards to drive game success.

Qualifications

• 5+ years in mobile gaming analytics, with live games experience.
• Strong statistical foundations and end-to-end A/B testing experience.
• Ability to define KPIs from first principles for a game's context.
• Evidence-based, articulate in data-driven decision making across teams.
• Translate complex data into clear insights for technical and non-technical audiences.
• Expert SQL and R or Python for data exploration and analysis.

Responsibilities

• Be the central analytics voice on Pocket Champs and set analytical direction.
• Elevate team standards, mentor analysts, and ensure rigor and quality.
• Own the end-to-end A/B test framework and interpretation of results.
• Translate business questions into data model requirements with Data Core.
• Proactively surface insights and question-which-questions to ask.
• Set standards for how findings reach designers, PMs, and Live Ops.

Skills

SQL

R/Python

A/B testing

KPI frameworks

Stakeholder storytelling

Retention & monetization

Tools

Looker

LookML

Job description

Madbox is a fast-growing mobile gaming company with a very unique way of developing games. Everything has been designed so teams can take as much ownership as possible, unleash their creativity, see their games reach millions of players, and have fun on the way. Casual people, Mad ambition!

Our Analytics team covers the full spectrum: a live game generating real revenue, several titles in active development, and a Data Core team building the infrastructure that powers everything. You won't be working in a silo, you'll be joining a connected team where what you build on Pocket Champs shapes how we think about analytics across the whole company.

As Lead Data Analyst on Pocket Champs, you will be the senior analytical voice on our core game, defining what healthy looks like, challenging investment decisions with data, and setting the standard for how the analytics team thinks and operates. This role sits at the intersection of the game team: designers, PMs, and Live Ops, and the full technical backbone of Madbox: Data Core, Central Game Tech building cross-game functionalities, Web Tech developing new tools, and an AI team making everything smarter. You'll coordinate across all of them.

Your future responsibilities and scope:

• Be the central analytics voice on Pocket Champs, define what healthy looks like, challenge investment decisions with data, and set the analytical direction for the game
• Elevate the bar for the team, set methodology standards, challenge analytical approaches, and mentor analysts on quality, rigor, and communication
• 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

The profile we are looking for:

• 5+ years 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

Nice to have:

• Experience scaling games on revenue across different game types
• Familiarity with Bayesian methods
• Experience designing data models and metric layers, not just consuming dashboards, and the ability to communicate those designs clearly to a technical data team
• Experience defining and evaluating how analytical findings reach non-technical stakeholders, setting standards for format, depth, and cadence
• Experience working with Looker & LookML

About relocation

Moving comes with a lot to think about, so we’ll take care of the tricky parts. With visa sponsorship, relocation support (yes, pets included!), and housing hunting - our goal is simple: help you land smoothly, feel at home quickly, and enjoy life in your new city!

How do we hire at Madbox?

• Meet the recruiter
• Meet the direct manager
• Home Assignment
• Home Assignment Interview ReviewMeet the stakeholders
• Meet the team
• Meet with Leadership

Diversity & Inclusion

At Madbox, different backgrounds, cultures, and ways of thinking aren't just welcome; they're part of what makes the team good. We hire on talent and fit with our values, regardless of who you are or where you come from.

AI in our process

Parts of our hiring process may get a hand from AI - things like summarizing responses, or flagging inconsistencies, and taking notes during interviews to focus on what matters the most: the candidates. Everything is there to help our recruiters, not to decide anything. Every final call on hiring is made by a human. For full details on how your data's handled, you can check our privacy policy.