As a Business Intelligence Analyst at Sportradar, you will work on the development of Sportradar’s BI technology stack and build interactive analytics applications and reports 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 data and data related to Sportradar’s products, services, and operational business processes.

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 new, innovative ways of using data to improve how we monetize our products and services, how we acquire which new sport rights, and how we analyze 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.

• 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

• Competitive salary and benefits.
• Work in an international team collaborating with colleagues from all over the world.
• Opportunity to work and develop in a dynamic Tech environment within an inspiring and fast-growing company.
• A challenging but rewarding and fun environment.