PythonSQLTableauRAnalyticsLookerBIPower BILeadershipA/B TestingCommunicationDecision Making
About this role
Role Overview
Designs, implements, and validates game telemetry to capture meaningful player data in an efficient and optimal way.
Extracts, transforms, and analyse large datasets using SQL and other data manipulation techniques. Bonus points for experience using Python or R.
Builds and maintains dashboards and visualizations to track KPIs, feature performance, economy balance, etc. Strong technical skills with at least one major BI tool (Power BI, Tableau, Looker, etc.)
Applies causal inference and experimental design methods (e.g., A/B testing, difference-in-differences) to assess the real impact of changes and features.
Works closely with product managers, designers, engineers, and producers to define data needs and share actionable insights.
Presents complex findings clearly to both technical and non-technical audiences, including senior leadership and external clients.
Supports a culture of data-driven decision making across the studio.
Requirements
Experience in the games industry or with player behaviour analytics is essential
SQL expertise for querying and manipulating large datasets.
Proficiency with at least one major data visualisation tool (Power BI, Tableau, Looker).
Strong proficiency in data manipulation and data modelling techniques.
Working knowledge of statistical methods for experimentation design, including hypothesis testing, sample size calculation, confidence intervals, and techniques such as A/B testing and Difference-in-Differences. Also, the ability to interpret results and communicate practical significance clearly.
Exceptional written and verbal communication skills, with the ability to tailor insights to different audiences.
Familiarity with scripting or statistical programming languages (e.g., Python, R) is an advantage.
Tech Stack
Python
SQL
Tableau
Benefits
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