We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.

OVERVIEW 

We are looking for a highly motivated Data Analyst (m/f/d) with great communication skills who will work alongside a small team of talented and experienced analysts, use modern technology and methods, and continually push boundaries to further develop and expand our reporting suite. The ideal candidate should have advanced knowledge about analytics and a big passion and motivation for learning.

You will have an excellent opportunity to join a growing team that is developing and managing Sportradar’s digital advertising platform. Within the self-organized and agile analytics team, you will play an active role in developing Sportradar’s client-facing advertising services that we are further driving with our cutting-edge technologies and highly motivated team members.
 

THE CHALLENGE

• Interpreting data to inform decisions and tell accurate stories to our advertisers/stakeholders. 
• Evaluating existing data sources and related products on a regular basis, performing QA and health checks to ensure data integrity. 
• Evaluation, Evolution & Implementation from concept to delivery using Machine Learning & AI to deliver projects which generate value to our end clients. 
• Collaborating with sales, tech and product teams to design, implement and refine state-of-the-art digital dashboards. 
• Helping Build & Scale the end-to-end process for Data Ingestion all the way through to end client reporting. 
• Have a „get it done“ attitude and deliver superb work repeatedly.

YOUR PROFILE

Required:

• Bachelor’s degree in Computer Science, Physics, Mathematics, Software Engineering or similar
• Understanding of analytical processes, tools, methods
• Advanced knowledge of SQL or other analytical languages 
• Good English communication skills (verbal and written)
• Strong consumer focus, ownership, urgency, and drive
• Analytically thinking/Problem Solver

Preferred:

• Understanding of AWS Toolset 
• Experience with Data Visualization Tools 
• Experience with Python (PySpark)