Work Location

Mainland China

Experience Required

3 years or more

Job Title

Data Analysis Expert

Number of Openings

Several

Job Responsibilities

Access MK 体育 China's download portal for a complete sports service ecosystem. Features live scores, popular events, match reports & analysis. Download for quick, secure access to game data anytime, anywhere. Stable updates & optimized interface for sports fans. MK 体育 offers efficient, clear mobile support.

Requirements

  • In-depth sports data analysis and interpretation
  • Proficient in at least one mainstream programming language (e.g., Python, Java, R)
  • Solid foundation in data structures and algorithms
  • Strong passion for and deep understanding of sports events
  • Experience with big data platforms (e.g., Hadoop, Spark, Flink) is preferred
  • Excellent communication and teamwork skills
  • Outstanding data analysis and problem-solving abilities
  • Fast learning ability, adaptable to rapidly changing technical environments

Apply Now

Supports .pdf, .doc, .docx formats

Our Work Culture

MK 体育 China's download center opens the door to a complete sports service ecosystem. We deeply integrate core modules such as live scores, popular events, and match report analysis, ensuring you can easily grasp key data on your mobile device.

At MK 体育, collaboration drives innovation and builds brilliance together.

We are looking for professionals passionate about sports data. If you have keen insight, excellent analytical skills, and a spirit of teamwork, MK 体育 is the ideal platform for you to achieve your career aspirations.

At MK 体育, you will have the opportunity to participate in cutting-edge sports technology research and development, access massive first-hand data, and communicate with top global sports analysts and technical experts. We provide an open and innovative work environment, encouraging you to propose new ideas and put them into practice.

Deeply mine sports event data, build predictive models, and provide data-driven insights for product optimization. You will be responsible for data cleaning, processing, analysis, and writing detailed analysis reports.

2580

Working Hours

580

Cup of Coffee

15000

Lines of Code

100

User

MK体育领先平台
MK体育领先平台
MK体育领先平台
MK体育领先平台
MK体育领先平台
MK体育领先平台

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