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Metro mid-senior data role, broad skillset and generalist title increase candidate competition.
Core analytics skills transfer across industries, but gaming telemetry and LTV focus require domain familiarity.
Explicit 6–9 years, 'SQL non-negotiable', Python and big-data pipeline requirements make filters strict.
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Lead detailed data analyses driving key business decisions on player behaviors, churn, revenue forecasting, and game economy tuning.
Own development and optimization of data pipelines, ensuring data quality and integration between game telemetry, warehouses, and ML systems.
Translate complex analytics into impactful narratives for product and engineering leadership and build self-serve dashboards while mentoring junior analysts.
6–9 years in data analytics, preferably in gaming, consumer tech, or mobile apps.
Mastery of SQL, including complex queries and optimization, is mandatory.
Proficient in Python for data analysis, scripting, and automation.
Bachelor's or Master's degree in CS, Engineering, Statistics, Mathematics, or similar.
Experienced with big data environments and pipeline orchestration tools (Redshift, Athena, BigQuery, Hive, Spark).
Strong foundation in statistical methods, experiment design, causal inference, and quantitative modeling with the ability to communicate results to skeptics.
Proven ownership of end-to-end projects with demonstrated leadership in mentoring and improving team capabilities.