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We are looking for a Game Data Analyst to strengthen our product analytics capabilities. In this role, you will combine strong analytical thinking with solid technical foundations to support multiple game teams over time. This is an individual contributor role with a strong emphasis on data modeling, advanced analysis, and scalable analytical foundations.
Job Responsibility:
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, optimize player experiences, 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
Partner with cross-functional teams to align priorities, influence roadmap decisions, and ensure analytics is central to shaping the player experience
Collaborate with other analysts and data infrastructure team 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 both technical and non-technical audiences
Curiosity, ownership, and eagerness to learn new tools and approaches
Nice to have:
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