Senior Analytics Engineer (m/f/d)

We are looking for a highly skilled senior analytics engineer (m/f/d) with excellent communication skills who will work alongside a team of talented and experienced analysts & engineers, use modern technology and methods, and continually push boundaries to further develop and expand our reporting suite. You will learn to be a compass for your main stakeholders – “the Product teams” – helping them navigate through business questions and actionable insights. 

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 innovative technologies and highly motivated team members. 

Key Responsibilities:

• Interpreting data to inform decisions and tell accurate stories to our advertisers/stakeholders.
• Participate in designing and developing data-driven, intelligent, and scalable systems while keeping your focus on quality, observability, and security 
• Evaluating existing data sources and related products on a regular basis, performing QA and health checks to ensure data integrity.
• Collaborating with sales, tech and product teams to design, implement and refine state-of-the-art digital dashboards.
• Evaluation, Evolution & Implementation from concept to delivery, supporting our ML & AI team to deliver projects which generate value to our end clients.

YOUR PROFILE:

• Past proven professional experience working in Data Engineering and Analytics within product companies (Experience within AdTech a bonus).
• Strong business sense and analytical mindset coupled with the ability to communicate analytical results (Experience with Data Visualisation Tools is a plus).
• Infrastructure as Code: Experience automating infrastructure deployment. CI/CD Pipelines: Experience creating and maintaining CI/CD workflows.
• Exceptional SQL & Python Skills and ETL Pipelines: Proficiency in building pipelines, especially with PySpark.
• Data Modelling: Skilled in designing logical and physical data models.
• Good experience with cloud-based services, ideally with AWS
• Fluent in verbal and written English and possess superb communication and leadership skills, with the ability to decompose complex solutions and insights into a straightforward narrative for the rest of the company
• Experience with ML technologies and pipelines
• Knowledge of TDD and other testing methodologies.