- Analyze player behaviour and product changes across the entire lifecycle (onboarding, retention, monetization, progression, LiveOps, and game economy health).
- Run deep-dive funnel, cohort, and segmentation analyses to identify friction points, drop-offs, and player spending patterns.
- Translate ambiguous product questions into structured analyses, clear findings, and actionable recommendations.
- Work hands-on with our AWS-based analytics stack (S3, Athena, DBT, Prefect) to create, maintain, and optimize robust ETL pipelines.
- Write cost- and performance-aware SQL to build analytical views that make core datasets accessible to the wider team.
- Proactively QA data pipelines and telemetry, identifying broken tracking, inconsistent definitions, or anomalies in event volume.
- Support the end-to-end design, success metric definition, and post-analysis of A/B tests and feature experiments.
- Leverage modern AI development tools to accelerate SQL/Python scripting, workflow automation, and documentation.
PythonSQLETL+4 more