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Game Data Analyst

Summary

Analyzes game data to identify issues, optimize user funnels, and drive product improvements using SQL, ML, and A/B testing for casual games.

Responsibilities:

  • Take full ownership of the comprehensive data analysis for core game products.
  • From business and product perspectives, leverage data to identify game issues and bottlenecks, deliver actionable insights, and drive game optimization initiatives.
  • Track the progress of A/B experiments, ensure the reliability and validity of experiment results, and provide targeted recommendations for product iteration.
  • Apply machine learning algorithms to analyze user behavior data, optimize the user lifecycle funnel, and achieve user growth targets.
  • Institutionalize analytical frameworks and methodologies, and deliver analysis templates or requirements for data products

Qualifications:

  • Bachelor’s degree or above in Computer Science, Mathematics, Statistics, Economics, Finance, Physics, Communications Engineering or related disciplines.
  • Proficiency in full-spectrum SQL skills, especially window functions; ability to apply common machine learning algorithms in Python/R to solve modeling problems.
  • Solid foundation in statistics, with a clear understanding of the application of statistical methods in A/B experiments.
  • Exceptional self-motivation, self-learning capability, logical thinking, and the ability to solve problems independently.
  • Passion for games and data analysis work; strong data sensitivity and analytical insight; excellent teamwork and communication skills

We specialize in global casual games. As we undergo rapid business expansion, we have multiple openings available and are actively seeking top-tier talent across the industry!

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