ABOUT US: 
As a Business Intelligence Developer at Sportradar, you will work on the development of Sportradar’s Analytics Platform and build data models, interactive applications, and dashboards to deliver data-driven insights supporting business and commercial management units in the Sportradar group. You will also contribute to the development of data pipelines to collect, transform, warehouse, and process commercial and financial related data and data related to Sportradar’s products, services, and operational business processes. This position is open in the Data Office that operates in six different countries.

THE CHALLENGE:

• Develop a deep understanding of Sportradar's business processes and data architecture.
• Analyze requirements and opportunities for improving business decisions and operations efficiency through data analytics.
• Deliver state-of-the-art data analytics and reporting solutions leveraging our commercial and business data.
• Data modeling for reporting and analytics.
• Development and deployment of data visualizations and reports for management and internal business partners.
• Present ideas and solutions to business and technical stakeholders clearly and understandably. Documentation of requirements and adherence to data governance protocols.
• Support the design and build of scalable, reliable, and secure data warehousing architectures and data integration/processing pipelines.
• Onboard, train, and empower business users to leverage the business intelligence tools and analytics solutions for driving data-driven decisions and insights.
• Propose innovative, data-driven approaches to enhance how we monetize our products and services, guide the acquisition of new sports rights, and strengthen the analysis of our current and future commercial strategies.
• Co-create and deliver an ambitious business intelligence roadmap in close coordination with various business and technical stakeholders in the Sportradar group.

YOUR PROFILE:

• Demonstrated technical expertise in the following areas: business intelligence tools, design, and development of dashboards and reporting applications, databases, data modeling, ETL processes.
• The successful candidate will be practiced in the hands-on development of software or analytics solutions.
• Minimum of 3 years of experience working on projects related to data management and/or business intelligence.
• Proficiency in working with relational databases and advanced knowledge of SQL
• Experience working with BI tools such as Qlik Sense/Qlik View, Tableau, Power BI, or equivalent is required.
• Experience working with Microsoft SQL Server, Amazon Redshift, and/or Amazon Athena is a plus.
• Understanding and experience with predictive analytics, statistical modeling, or machine learning is a plus.
• Bachelor of Science in Computer Science / Engineering, Mathematics / Statistics, or related field; equivalent experience acceptable.
• Fluent in English (written and spoken).
• Autonomous, rigorous, creative, and a team player
   

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. 
• Flexibility to manage your workday and tasks with autonomy. 
• A balance of structure and autonomy to tackle your daily tasks. 
• Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants. 
• Global Employee Assistance Programme. 
• Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience). 
• Online training videos. 
• Flexible working hours. 

While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation—both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a hybrid model, with team members working in the office three days a week to build relationships, exchange ideas, and grow together. 

OUR RECRUITMENT PROCESS: 

• Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations. 
• Technical Assessment: A short task to showcase your technical skills. 
• Technical Interview: Meet with the Technical team and later with the Hiring Manager to dive into your solution, as also discuss team fit. 
• Onsite Interview: Meet with the local team and take a tour of our office for a final meet-and-greet. 
• Finals Steps: Receive feedback and, if successful, an offer!