Job Description
- Internship experience in data analysis within the game or internet industry is preferred.
- A passion for games, in-depth experience with various game categories, and an understanding of the game industry's business logic are preferred.
- Familiarity with common visualization tools, and experience using Python for web crawling and calling large language model APIs is preferred.
- Bachelor's degree or above, preferably in mathematics, statistics, data science, computer science, or related fields.
- Proficient in common data analysis tools and languages such as SQL, Python, and R.
- Possess rigorous logical thinking and a solid mathematical foundation, master statistical analysis, experimental design, and basic theories of machine learning, and be able to independently apply these methods to solve practical business problems.
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 forecasting.
2. Responsible for specialized data analysis, including but not limited to game profit analysis, player behavior analysis, activity analysis, commercialization analysis, and game ecosystem analysis.
3. Analyze players' data performance outside the game, such as community ecology and market promotion and communication effects, through data mining and public opinion analysis.
4. Assist various core business segments of the game (R&D, operations, publishing) by providing data monitoring and analysis support for decision-making.
Job Requirements
1. Bachelor's degree or above, preferably with a background in mathematics, statistics, data science, computer science, or related majors; internship experience in data analysis positions in the game/internet industry is preferred.
2. Love games, have in-depth experience with multiple game categories, and understand the business logic of the game industry is preferred.
3. Proficient in common data analysis tools and languages such as SQL, Python, and R, familiar with common visualization tools, and experience using Python for web crawling and calling large language model APIs is preferred.
4. Possess rigorous logical thinking and a solid mathematical foundation, master statistical analysis, experimental design, and basic theories of machine learning, and be able to independently apply the above methods to solve practical business problems.
