Homa is a gaming technology lab that gives game creators the data-driven tools and human expertise needed to turn their creative ideas into commercial hits. By smashing the odds with data, Homa is…
Homa is a gaming technology lab that gives game creators the data-driven tools and human expertise needed to turn their creative ideas into commercial hits. By smashing the odds with data, Homa is…
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Who you are
You have a strong educational background with a MSc. in Statistics / Maths / Computer Science / Economy or other quantitative field from a top university, outstanding analytical skills, and creative thinking
3-7 years of experience as a Data Analyst focusing on User Acquisition or in an Ad Tech company
SQL
Tableau
Python (data wrangling and data visualization), dbt, and code versioning
Sense of Ownership: "As a key member of our lean team, you'll be expected to have a strong sense of ownership. We're looking for someone who is excited to contribute beyond their core responsibilities to directly impact our growth."
Experience with descriptive and predictive modeling is a plus
What the job involves
Benefits
We offer essential benefits in France and specific locations, including health insurance, meal vouchers, public transport subsidies, childcare benefits, and life insurance
You will be working in English with our international team of top-tier talents from 35+ countries
You will be able to attend diverse team events and Workations (the famous company-wide Homa trip)
You will have quarterly reviews to help you grow within Homa and build your own career path
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As a Data Analyst – User Acquisition, you will be part of the Data Team and act as the main partner of the UA team in their mission to grow our games profitably
Your role will be to leverage both historical performance data and predictive models to provide actionable insights, guide investment decisions, and maximize portfolio profitability
Maintain and improve Tableau dashboards that share campaign performance and recommendations with UA managers
Leverage granular cost and revenue data from the Data Platform and LTV predictions from the Data Science team to recommend campaign targets
Monitor and contribute to the improvement of our Autobidder (internal data product that automatically updates campaign targets based on profitability goals)
Work closely with UA managers and Finance to help define profitability targets (bottom-up)
Analyze the elasticity of both games and campaigns to explain trade-offs between revenue growth and profitability, and ensure UA can achieve targets
Run tests, provide insights, and help identify the optimal Return on Ad Spend (ROAS) targets that maximize portfolio profit
Collaborate with the creative team to design and maintain reporting that measures the impact of creatives
Align with stakeholders on a synthetic KPI that reflects creative performance (combining share of voice, ROAS, and retention)
Continuously refine reporting to ensure it drives actionable insights for the creative production process
