At a Glance
- Tasks: Analyse complex datasets to identify trends, anomalies, and commercial opportunities.
- Company: Join the world's leading sports technology company at the intersection of sports and media.
- Benefits: Diverse work environment, equal opportunity employer, and a chance to grow your skills.
- Other info: Collaborate with teams across the company and develop innovative analytical solutions.
- Why this job: Make a real impact in revenue protection and data intelligence within the sports industry.
- Qualifications: 2+ years in data analytics, strong SQL skills, and experience with Python or R.
The predicted salary is between 40500 - 49500 £ per year.
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.
OVERVIEW
Working within Revenue Protection, the Trading Investigator will be responsible for analysing large and complex datasets to support intellectual property protection, revenue recovery, risk identification and commercial intelligence activities. The role will focus on identifying trends, anomalies, suspicious activity and commercial opportunities across Sportradar's products, services and partner ecosystem. Combining advanced analytical techniques with investigative thinking, the analyst will produce actionable intelligence, support strategic investigations, and deliver insights that help protect and maximise the value of Sportradar's data, content and commercial rights.
The successful candidate will possess strong analytical capabilities, commercial awareness, and a naturally inquisitive mindset, enabling them to transform data into meaningful intelligence and business outcomes.
THE CHALLENGE
- Analyse large and complex datasets relating to customer activity, product usage, content consumption, distribution channels and commercial operations.
- Develop monitoring frameworks to identify unauthorised usage, revenue leakage, abuse, fraud indicators and emerging business risks.
- Conduct quantitative analysis to identify trends, anomalies and opportunities across products, services and customer segments.
- Support investigations involving contractual non-compliance and other revenue-impacting activities.
- Identify relationships, patterns and connections across customers, users, partners and entities of interest.
- Produce analytical reports, visualisations and dashboards to support operational and strategic decision-making.
- Develop automated processes to improve monitoring, intelligence collection and reporting capabilities.
- Partner with Intelligence Analysts, Investigators and Commercial stakeholders to support complex enquiries and investigations.
- Work closely with Data Science, Product and Engineering teams to develop scalable analytical solutions.
- Conduct behavioural, trend and network analysis to identify clusters, anomalies and indicators of misuse.
- Contribute to the development of new methodologies, tools and analytical capabilities that enhance Revenue Protection operations.
YOUR PROFILE
- 2+ years' experience in data analytics, business intelligence, fraud analytics, revenue assurance, investigations, compliance, risk management or a related field.
- Strong SQL skills and experience working with large datasets.
- Experience using Python, R or equivalent analytical tools for data investigation and analysis.
- Strong understanding of statistical analysis, data modelling and visualisation techniques.
- Experience building dashboards and visualisations using Power BI, Tableau, Looker or similar platforms.
- Experience extracting, transforming and analysing data from multiple structured and unstructured sources.
- Strong analytical and problem-solving skills, with the ability to identify patterns and root causes.
- Excellent written and verbal communication skills.
- Ability to communicate complex findings to both technical and non-technical audiences.
- Highly organised with the ability to manage multiple priorities simultaneously.
Advantageous
- Experience in sports, betting, media, technology, digital content, financial services or telecommunications industries.
- Experience working with cloud-based analytical environments and data platforms.
- Understanding of machine learning, anomaly detection or behavioural modelling.
- Experience with graph analytics and network analysis techniques.
- Knowledge of API integrations and data engineering concepts.
- Additional language skills.
Additional Information
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!
Trading Investigator in London employer: Sportradar
Sportradar is an exceptional employer that fosters a dynamic and innovative work culture in the heart of Greater London. With a strong focus on employee growth, we offer numerous opportunities for professional development and career advancement within the fast-paced sports media industry. Our commitment to diversity and collaboration ensures that every team member's voice is heard, making it a rewarding place to contribute to exciting projects and build lasting partnerships.
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We think this is how you could land Trading Investigator in London
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We think you need these skills to ace Trading Investigator in London
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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How to prepare for a job interview at Sportradar
✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨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.
