Data Operations Manager

2 Minutes ago • 3 Years + • Operations

Job Summary

Job Description

This role provides data support for game operation decisions, covering new user analysis, long-term data observation, and estimations. Responsibilities include specialized data analysis for game profit, player behavior, activities, commercialization, and ecosystem. The manager will also analyze off-game player data, such as community engagement and market promotion effectiveness, using data mining and public opinion analysis. This position supports core business functions like R&D, operations, and publishing with essential data monitoring and analytical insights.
Must have:
  • Provide data support for game operation decisions through data analysis.
  • Responsible for special data analysis, including game profit, player behavior, activity, commercialization, and game ecosystem analysis.
  • Analyze players' off-game data performance through data mining and public opinion analysis.
  • Provide data monitoring and analysis support for decision-making in all core links of the game's core business.
Good to have:
  • Experience in long-term game operations, especially SLG games

Job Details

Job Description

1. Provide data support for game operation decisions through data analysis, including but not limited to new user analysis, long-term data observation and estimation.

2. Responsible for special data analysis, including but not limited to game profit analysis, player behavior analysis, activity analysis, commercialization analysis, and game ecosystem analysis.

3. Analyze players' off-game data performance, such as community ecology and market promotion effects, through data mining and public opinion analysis.

4. Provide data monitoring and analysis support for decision-making in all core links of the game's core business (R&D, operations, publishing).

Job Requirements

1. More than 3 years of work experience, able to independently carry out special analysis business. Experience in long-term game operations, especially SLG games, is preferred.

2. Familiar with all aspects of data collection, proficient in basic tools such as EXCEL, SQL, and Python, master basic principles of data modeling and data mining algorithms, and understand server architecture patterns and database operations.

3. Possess good logical thinking and analytical skills, have good teamwork skills and the ability to continuously advance projects.

4. Able to communicate deeply with R&D, middleware, and other positions.

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