Senior Product Data Analyst

🕒 March 24

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TapNation

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🎮 Gaming

👥 B2C

💰 $16.1M Venture Round - TapNation on 2023-11

Gaming • B2C

TapNation is a French mobile game publisher founded in 2019 that has released more than 50 games and achieved over a billion downloads, ranking among the top 15 publishers worldwide. The company combines creativity and technological optimization to develop and scale mobile titles, and emphasizes innovation, multicultural teams, employee development, and work-life balance.

📋 Description

• Conduct deep-dive data analysis to understand user behavior, feature adoption, monetization drivers, and overall game performance (e.g., retention, engagement, conversion). • 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. • Partner with the Product team to design, execute, and analyze A/B tests and other experiments, ensuring statistical rigor and clear interpretation of results. • Proactively identify opportunities for product improvement and provide data-driven recommendations to inform the product roadmap and strategy. • Work closely with Data Engineering to ensure data accuracy, integrity, and accessibility for product analysis. • 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.

🏖️ Benefits

• 27 days paid time off per year without losing fees • Remote policy: full remote