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As Senior Product Data Analyst, you will be the core analytical partner for our Product teams, driving the data-informed evolution of our mobile games and internal tools. Your primary mission will be to ensure the Product team has access to efficient and trustworthy data insights, enabling them to make optimal decisions on features, monetization, and user experience. You will be instrumental in translating complex product and user behavior data into clear, actionable strategies.
Job Responsibility:
Product Performance Analysis: Conduct deep-dive data analysis to understand user behavior, feature adoption, monetization drivers, and overall game performance (e.g., retention, engagement, conversion)
Data Visualization & Reporting: Design, develop, and maintain efficient and trustworthy dashboards (primarily in Looker) to monitor key Product KPIs, providing the Product team with self-service, real-time insights
Experimentation Support: Partner with the Product team to design, execute, and analyze A/B tests and other experiments, ensuring statistical rigor and clear interpretation of results
Consultation & Strategy: Proactively identify opportunities for product improvement and provide data-driven recommendations to inform the product roadmap and strategy
Data Infrastructure Collaboration: Work closely with Data Engineering to ensure data accuracy, integrity, and accessibility for product analysis
Gen AI Exploration: Act as an enthusiast for Generative AI, exploring how emerging AI technologies can be leveraged to enhance product analysis workflows or contribute to future product features
Requirements:
Proven, senior-level experience as a Data Analyst, specifically supporting a Product team
Deep data analysis skills with the ability to structure, analyze, and interpret complex data to provide clear, actionable insights
Strong familiarity with mobile gaming industry concepts and metrics (e.g., DAU, MAU, ARPDAU, LTV, Retention Curves, Funnels)
Expert proficiency in SQL for complex querying and data manipulation
Hands-on experience with Google Cloud BigQuery (or similar cloud data warehouses)
Proficiency with DBT (data build tool) for data transformation, modeling, and maintaining data quality
Expert in data visualization and dashboarding using tools such as Looker (preferred), Tableau, or Power BI
English native or fluent—excellent written and oral communication skills to present complex findings to non-technical stakeholders
What we offer:
27 days paid time off per year without loosing fees (the company believes in disconnection in order to allow people to evolve in a healthy environment)
Remote policy: full remote
You can find us at Morning Pereire offices in Paris 17e (including fitness room) if you want to say hello