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- Tasks: Analyse data to improve business decisions and create innovative reporting solutions.
- Company: Join Sportradar, a leading digital sports company shaping the future of sports data.
- Benefits: Competitive salary, hybrid working, and investment in your professional development.
- Why this job: Be part of a dynamic team driving innovation in data insights and analytics.
- Qualifications: 3+ years in data management, proficiency in SQL, and experience with BI tools required.
- Other info: Diverse and inclusive workplace with opportunities for growth and learning.
The predicted salary is between 28800 - 48000 £ 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 and constantly improve and expand 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.
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 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.
ABOUT YOU:
- Demonstrated technical expertise in business intelligence tools, design and development of dashboards and reporting applications, databases, data modelling, and 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.
OUR RECRUITMENT PROCESS:
- Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations.
- Two Technical Interviews: Meet with the Technical team and later with the Hiring Manager to dive into your solution and discuss team fit.
- Onsite Interview / Technical Assessment: Meet with the local team, complete a task to showcase your technical skills, and take a tour of our office for a final meet-and-greet.
- Final Steps: Receive feedback and if successful, an offer!
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, colour, 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!
Remote Work: No
Employment Type: Full-time
Key Skills: Business Intelligence, Cognos, SQL, Power BI, QlikView, Data Visualization, SSRS, Tableau, SSIS, Data Modeling, Data Warehouse, Data Analysis Skills Experience: years
Vacancy: 1
Business Intelligence Analyst, Data Analyst employer: Sportradar
Contact Detail:
Sportradar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Analyst, Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews! Research common questions for Data Analysts and practice your responses. Make sure you can clearly explain your past projects and how they relate to the role at Sportradar.
✨Tip Number 3
Show off your skills! Create a portfolio showcasing your data visualisation projects and analytics solutions. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Sportradar team!
We think you need these skills to ace Business Intelligence Analyst, Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in data analysis, BI tools, and any relevant projects you've worked on. We want to see how you can contribute to our Data Insights team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data visualization and how your background aligns with our mission at Sportradar. Let us know what excites you about the role and how you can help drive innovation.
Showcase Your Technical Skills: Since this role requires technical expertise, be sure to mention your experience with SQL, data modelling, and BI tools like Power BI or Tableau. If you've got any cool projects or achievements, don’t hesitate to share them with us!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Sportradar
✨Know Your Tools Inside Out
Make sure you’re well-versed in the BI tools mentioned in the job description, like Qlik Sense, Tableau, or Power BI. Prepare to discuss your experience with these tools and how you've used them to create impactful data visualisations and reports.
✨Understand the Business Context
Research Sportradar and its role in the sports industry. Familiarise yourself with their products and services, and think about how data analytics can enhance their business decisions. This will help you present relevant ideas during the interview.
✨Prepare for Technical Questions
Expect technical interviews to dive deep into your SQL skills and data modelling experience. Brush up on your knowledge of relational databases and be ready to solve problems on the spot, showcasing your analytical thinking and problem-solving abilities.
✨Showcase Your Communication Skills
As a Data Analyst, you'll need to present complex data insights clearly. Practice explaining your past projects and findings in simple terms. This will demonstrate your ability to communicate effectively with both technical and non-technical stakeholders.