BI Developer
Ljubljana, Slovenia
Sportradar
Company Description
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.
Job Description
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 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.
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:
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.
Additional Information
Sportradar is an Equal Opportunity Employer. We are committed to encourage diversity within our teams. All qualified applicants will receive consideration without regard to among other things, your background, status, or personal preferences
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Athena Business Intelligence Computer Science Data Analytics Data governance Data management Data pipelines Data Warehousing Engineering ETL Machine Learning Mathematics Pipelines Power BI Qlik RDBMS Redshift SQL Statistical modeling Statistics Tableau
Perks/benefits: Career development Competitive pay
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