Game Data Analyst in Berlin

Analytics SQL Python Airflow

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••••••••••••• is hiring a Game Data Analyst to strengthen product analytics capabilities. This is an individual contributor role with emphasis on data modeling, advanced analysis, and scalable analytical foundations.

Responsibilities

• Partner with product and game teams to answer complex questions around player behavior, engagement, and progression
• Perform advanced analyses using SQL to uncover patterns and drivers behind player actions
• Design and analyze player segmentation and behavioral cohorts
• Design, implement, and evaluate A/B tests to measure feature performance and guide data-informed decisions
• Build and maintain reliable, analytics-ready data models (experience with dbt or similar tools)
• Ensure data quality, clarity, and documentation of key datasets and metrics
• Contribute to self-serve reporting and visualization
• Collaborate with analysts and data infrastructure teams to improve analytical workflows and standards

Requirements

• 3+ years of experience in Data Analytics
• Proficiency in SQL and data visualization tools
• Experience working with complex datasets and analytical data models
• Ability to translate data into clear insights for technical and non-technical audiences
• Curiosity, ownership, and eagerness to learn new tools and approaches
• Experience with Looker and dbt
• Experience with Python or R for data analysis
• Familiarity with data orchestration tools (e.g. Airflow)
• Background in games, free-to-play, or product analytics

Benefits & conditions

• Hybrid role in Berlin, Germany with relocation support
• Learning budget, flexible working hours and home office
• Equipment, health & fitness contribution, pension options, bonuses
• Company events, food & drinks, and other perks