Support acquisition and operations decisions with data; responsible for growth attribution
Build and maintain core metric dashboards (DAU / retention / ARPU / CPI / ROAS / LTV)
Conduct acquisition attribution analysis and channel ROI evaluation to support budget allocation
Analyze retention funnels and user segmentation; identify churn points and optimization
Support A/B experiment design and effectiveness evaluation for version updates and events
Produce aggregated data briefs to support decision-makers (including aggregated figures compliant

🎯 Requirements

Bachelor's degree or above in Data Science, Statistics, Computer Science, Mathematics, Economics or
Proficient in SQL; master Python or R for data processing and analysis
Familiar with data visualization tools (Tableau / Power BI / Looker, etc.)
Statistical thinking and foundational knowledge of A/B testing concepts
Fluent English

🎁 Benefits

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