At a Glance
- 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.
- Other info: Diverse and inclusive workplace with opportunities for growth and learning.
- 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.
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
Sportradar is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration within the fast-paced Data Insights team. Employees benefit from competitive salaries, hybrid working options, and significant investment in personal development, all while contributing to one of the fastest-growing digital sports companies globally. With a commitment to diversity and equal opportunity, Sportradar empowers its team members to grow and thrive in their careers, making it an ideal place for those passionate about data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Business Intelligence Analyst, Data Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Sportradar!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Business Intelligence Analyst, Data Analyst at Sportradar.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Sportradar.
✨Apply Directly through Our Website
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We think you need these skills to ace Business Intelligence Analyst, 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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Sportradar, 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 Sportradar. 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 Sportradar
✨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!
✨Showcase Your Projects
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 Sportradar!
✨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.
