Job Description

1. Optimize player behavior data monitoring, enhance in-game behavior intervention, promote the design and implementation of game data early warning and risk control systems, and improve the timeliness of player behavior intervention;

2. For different operational stages of the game, initiate and produce special data reports to drive product optimization and iteration;

3. Establish and optimize player persona stratification, assist in formulating refined operational strategies, and optimize data stratification for different player in-game behavior stages;

4. Optimize data dashboard design, promote the output of regular data monitoring reports, provide visual decision-making tools for the team, promote data埋点 standardization, and improve data collection quality;

5. Coordinate cooperation processes among different functions to ensure data efficiency and accuracy;

Job Requirements

1. Bachelor's degree or above, preferably in statistics, mathematics, or computer science-related majors;

2. 3+ years of data operations experience in the gaming industry, preferably with competitive game (e.g., MOBA/FPS) background;

3. Proficient in at least one analysis tool among SQL/Python/R, skilled in using visualization tools like Tableau/Power BI, and master basic machine learning models (e.g., clustering, regression analysis);

4. Deep understanding of at least one mainstream competitive game, able to interpret data from a player's perspective, with keen insights into game balance and matchmaking mechanisms;

5. Strong communication skills, able to clearly convey data conclusions to non-technical teams;

Bonus Points:

1. Practical experience in user growth (e.g., improving activity/retention);

2. Familiarity with game economic system design (e.g., currency consumption, item pricing);

3. Experience with large-scale data processing (Hive/Spark).