Data analyst

Homa is a global mobile game developer and publisher creating games people love. We partner with studios and internally develop games, having launched over 80 titles, reached over 2 billion downloads, and seen our game All in Hole break into the global top-50 grossing charts. These are milestones, not the finish line.

With deep expertise in product and technology, we built Homa Lab, our proprietary platform that gives developers the market intelligence, data tools, and game tech, with AI built-in, to find product–market fit fast and scale mass-market games into lasting experiences players enjoy for years.

This is our flywheel: Homa Lab helps studios spot the right ideas early, turn them into games quickly, and reach millions of players. Every launch brings back data and insights that fuel the next hit, making each turn of the loop faster, smarter, and more likely to win. AI supercharges this process, running through everything we do, from everyday tasks to our guiding principles.

What powers the loop is talent density. 220+ people from 30+ nationalities, bringing expertise from the world’s best studios and companies. We uphold ambition, curiosity, humility, and focus, and deliver with speed, excellence, and candor.

Since the start, we’ve raised $165M from Headline, Northzone, Eurazeo, Bpifrance, and the founders of King, Sorare, and Spotify, people who’ve built and backed the games and platforms we admire, now supporting our drive to create the next ones.

At Homa, we are building the next billion-player experiences from the ground up and shaping the future of entertainment.

Mission

As a Data Analyst, you’ll play a key role in powering data-driven decisions across the entire company. You will partner closely with the Data Platform team, data engineers, and game teams to own, evolve, and scale the central analytics tools that every team at Homa relies on daily.

Your main responsibilities will include:

• Own and evolve Homa’s core analytics dashboards: ensure they are accurate, trusted, and continuously improved so every team can make fast, confident decisions
• Guarantee data quality and consistency across all data surfaces (Tableau dashboards, web tools, internal apps), one source of truth, no exceptions
• Support hybrid game analytics when needed, run ad hoc analyses for game teams and translate complex data into clear, actionable insights
• Identify and build new visualizations and tools based on stakeholder needs: own the full scope from scoping to production deployment
• Drive the rollout of self-service analytics in collaboration with the Data Platform team: building query templates and validation layers that give teams direct access to game data through AI-powered tools

This is a great opportunity to own tools used by the entire company, gain direct exposure to gaming product analytics, and be part of Homa’s GenAI data transformation from day one.

Requirements

We are looking for someone with a first solid experience in data analytics or analytics engineering, and the humility, curiosity, ambition, and drive to make an impact fast. You're a great fit if you have:

• Solid data manipulation skills: you're proficient in SQL and Python, and comfortable transforming and modeling raw data from multiple sources into clean, analysis-ready datasets.
• 3+ years of proven experience in data analytics in the tech industry
• Hands-on deployment and production experience: you've shipped data work to production using modern tooling like dbt, Airflow, and GitHub (or equivalents — transformation frameworks, orchestration tools, and version control); you're comfortable owning code that runs on a schedule, not just in a notebook
• BI tool expertise (Tableau, Looker, or equivalent): you build and maintain complex dashboards independently and make smart visualization decisions
• Strong stakeholder data translation: you convert business questions into scoped, realistic deliverables and know what to prioritize when bandwidth is limited
• Production mindset: you don't just build; you own what you build, monitor it, and make sure it keeps working long after launch
• Comfort operating at scale: you've worked with high-volume datasets where performance, cost, and reconciliation across sources actually matter

Bonus points if you have:

• Experience in B2C industries with high data volume (gaming, streaming, e-commerce)
• Early exposure to GenAI or LLM-based tools in a data workflow context
• Gaming industry knowledge or strong interest in mobile games and player behavior

Even if you don't check ev