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Sportradar is hiring a

Live Sports Data Operator

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Muntinlupa, Philippines
Posted 5 months ago
292 views

Job Description

THE CHALLENGE:

  • Managing Live Sports data production for over 350 clients
  • Creation and delivery of Datacentric’s Live Sports Data product for multiple sports
  • Analysis of Sport and Market performance
  • Cooperation within a team working with live sports data

YOUR PROFILE:

  • Self-motivated team player with strong sense of integrity
  • You exhibit intellectual curiosity, with a breadth of large Sporting knowledge and interest
  • Excellent analytical mind and problem solver
  • You have plenty of positive energy, generally extroverted and optimistic with ability to execute – get the job done. You have courage to make tough yes-or-no decisions
  • Knowledge of eSports is a plus
  • Good written and spoken English is required, any other language is an advantage
  • Flexible with regards to working in shifts

OUR OFFER:

  • A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US) including various social events and teambuilding. 

  • Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants. 

  • Clearly pre-defined shift schedules with collaborative/inclusive planning. 

  • Growth-focused work environment with flexibility. 

  • Global Employee Assistance Programme. 

  • Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience). 

  • Structured onboarding process program and online training videos. 

 

OUR RECRUITMENT PROCESS

  • Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations. 

  • Final Interview (On-site): Meet with the Hiring Manager to dive into your skills, as also discuss team fit. 

  • Finals Steps: Receive feedback and, if successful, an offer! 

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Salary Information

Salary: $50,000 - $55,000

🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.

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