Game Data Analyst (Gaming Product Management KPIs)

Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help us create the unknown! Impact -  Enable data-driven decisions for leaders for LiveOps events, feature launches, and content updates through dashboards by defining datasets. Track KPIs including and not limited upto - Daily Active Users (DAU), Retention Rate, Churn Rate, ARPU (Average Revenue Per User), and session metrics. Make daily / weekly/monthly reports on player behavior, performance accuracy, engagement, and monetization / revenue trends to improve visibility. Perform A/B Testing for player engagement and revenue generation. Proactively identify patterns, anomalies, and trends in player behavior and accordingly recommend improvements based on the data evidence, useful for leadership for strategic decisions. Collaborate with local and international stakeholders towards making clear and accurate dashboards. Identify drop-offs in purchase funnels, payment failures and thereby contributing to reducing the loss. Responsible for quarterly / yearly licensing report - streaming cost for maps played Innovation -   Suggest new KPIs, dashboards, or reporting improvements  Explore emerging analytics tools, methodologies, and visualization best practices  Contribute to evolving analytics strategies for a live, fast-moving mobile game and process improvements  Detect and propose improvements to processes and methodologies.   Seniority -  Min 5+ years of professional experience in a Data Analyst or similar role Experience working on live products, mobile games, or digital services is a plus Knowledge required -  Core Analytics Skills Strong analytical thinking and data interpretation Understanding of data types, data structures and statistics Metrics driven decision making Data & Database Technologies 3+ years of experience with SQL Understanding of RDBMS and NoSQL databases Knowledge of Hive DB, file formats, and data flow pipelines Exposure to Python for data analysis or automation Visualization & Platforms 3+ years of experience with Databricks, Power BI, and similar visualization tools Ability to build and maintain clear, actionable dashboards     Passion for analytics, games, and live service models Curious about new trends in data, visualization, and player behavior analysis Detail-oriented, proactive, and solution-focused