Data & Analytics
Pocket Worlds
- Austin, United States
- Mid Level
- Posted
Skills
Required
- SQL
- ML
- Python
Join our team as a Data & Analytics Specialist for a live-service game. In this role, you will own the full analytics loop, from framing the right question to turning results into actionable decisions. You will work with complex SQL, design A/B tests, reconcile metrics, and build internal tools. You will also help less technical teammates answer their own questions and own recurring performance reporting. This is a remote position with flexible hours and a range of benefits.
Own the full analytics loop for a live-service game, from framing the right question to turning results into actionable decisions.
Notices when a number doesn't make sense and digs in before reporting it
About Pocket Worlds
Fluency with AI coding agents and the workflows around them
Responsibilities
- Write complex SQL against large, messy, semi-structured event data, design and evaluate A/B tests, and reconcile metrics across sources.
- Build bespoke internal dashboards and tools around the decisions people actually make, and treat adoption as the measure of success.
- Explains methods in plain language and writes for decision-makers: interpretation, not restated number
- Applied statistics, with a practical sense of which methods suit noisy, skewed, real-world data and where they break down
Requirements
Judgment and domain
- Familiarity with applied ML (embeddings, similarity, scoring) is a plus
- Comfort building and deploying small services and data pipelines
- Strong SQL and Python for analysis
- Knows how to set up an analysis so it actually answers the question: comparing like with like, separating a real effect from noise or a shift in who's being measured, and recognizing when the data can't support a conclusion
Preferred
- Understands free-to-play games: monetization (including gacha), live events, virtual economies and how different player segments behave
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