Supply Chain Data Analysis (2026 Autumn Recruitment)

8 Minutes ago • All levels
Logistics

Job Description

This role involves assisting in the establishment of procurement data indicator systems for various categories, developing visual reports based on data models, conducting in-depth analysis of procurement work for game business categories to identify risks and issues, monitoring and analyzing abnormal data for improvements, and managing data quality to ensure completeness, accuracy, and consistency.
Must Have:
  • Bachelor's degree or above in Statistics, Mathematics, Computer Science, or related fields
  • Good data analysis and problem-solving skills
  • Strong logical thinking and business understanding
  • Strong communication, collaboration, and teamwork spirit
  • High attention to detail and accuracy
  • Strong self-drive, resilience, and results-oriented

Add these skills to join the top 1% applicants for this job

team-management
cross-functional
problem-solving
data-analytics
talent-acquisition
game-texts

Job Description

1. Assist in the establishment of procurement data indicators: build a data indicator system related to procurement for various categories, capable of accurately reflecting business conditions.

2. Assist in report visualization development: design and build data models according to requirements, and implement report visualization development to present business data intuitively and clearly.

3. Assist in data indicator analysis: conduct in-depth analysis of procurement work for various game business categories, identify risks and problems; monitor and analyze abnormal data, locate problems and implement improvements.

4. Assist in data quality management: responsible for monitoring and improving data quality, ensuring the completeness, accuracy, and consistency of data.

Job Requirements

1. Bachelor's degree or above, in Statistics, Mathematics, Computer Science, or related majors.

2. Possess good data analysis and problem-solving abilities, capable of multi-dimensional data mining and interpretation, strong logical thinking and business understanding.

3. Possess strong communication, collaboration, and teamwork spirit, capable of effective collaboration with cross-functional teams.

4. Highly focused on details and accuracy, emphasizing data precision and reliability.

5. Strong self-drive and resilience, results-oriented, and tenacious.

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