At a Glance
- Tasks: Design and implement data reporting solutions while solving complex problems creatively.
- Company: Join Sportradar, a leading digital sports company with a dynamic team culture.
- Benefits: Enjoy competitive salary, hybrid working, and investment in your personal development.
- Other info: Collaborate globally and grow your career in an inclusive environment.
- Why this job: Make an impact in the fast-paced world of sports data analytics.
- Qualifications: Experience in data management, BI tools, and strong SQL skills required.
The predicted salary is between 37800 - 46200 £ per year.
Are you passionate about Data Visualization and Data Analysis?
Sportradar is seeking a motivated Data Analyst (Business Intelligence Analyst) to join the fast paced and dynamic Data & Insights team.
You will be responsible for the design, creation, and implementation of the reporting layer.
You will implement creative approaches to solving complex problems.
In addition to building new features, you will constantly be improving and expanding existing reporting interfaces.
The role is a key member of the team that will help develop the vision for our Data & Insights team.
The Data & Insights team drives innovation and operational excellence through the projects they support across all units at Sportradar.
You will report directly to the Commercial Analytics Manager and collaborate with stakeholders across the Commercial teams to surface the answers to key operational and business questions.
- The Challenge
- Analyse stakeholder 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, operational and business data.
- Data modelling 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.
- 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.
- Creation and maintenance of technical documentation for BI Tools.
Your Profile
- Demonstrated technical expertise in the following areas: business intelligence tools, design, and development of dashboards and reporting applications, databases, data modelling, 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 modelling, or machine learning is a plus.
- Bachelor of Science in Computer Science / Engineering, Mathematics / Statistics, Economics, or related field; equivalent experience acceptable.
- Fluent in English (written and spoken).
- Autonomous, rigorous, creative, and a team player.
- Our Offer
- Work for and shape one of the fastest-growing digital sports companies in the world.
- Competitive salary and benefits.
- Opportunity for hybrid working.
- Investment in your continued development.
- Work in an international team collaborating with colleagues from all over the world.
At Sportradar, we celebrate our diverse group of hardworking employees.
Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities.
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time.
If you’re willing to learn and grow with us, we invite you to join our team!
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Data Analyst employer: Sports Careers
Sportradar is an excellent employer that fosters a dynamic and collaborative work culture, where innovation and analytical thinking are highly valued. Employees benefit from comprehensive growth opportunities, including professional development and the chance to work on impactful projects that drive revenue in the exciting sports industry. Located in a vibrant area, Sportradar offers a unique environment that encourages creativity and teamwork, making it a rewarding place for those looking to make a meaningful contribution.
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We think this is how you could land Data Analyst
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We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Sports Careers, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Sports Careers. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Sports Careers
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Sports Careers!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
