Data Analyst, Prediction Markets

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

Working within Rights & Revenue Protection (RRP), the Forensic Data Analyst will be responsible for analysing prediction market, blockchain and sports-related datasets to support intellectual property protection, revenue recovery and commercial intelligence activities. 

The role will focus on identifying trends, anomalies and relationships across prediction market ecosystems, helping Sportradar understand market activity, data usage, participant behaviour and emerging risks. Combining advanced analytical techniques with investigative thinking, the analyst will produce actionable intelligence and support strategic investigations involving prediction markets, cryptocurrency-enabled platforms and sports betting operators. 

THE CHALLENGE 

• Analyse large and complex datasets relating to prediction market activity, blockchain transactions and sports-related markets.  
• Develop monitoring frameworks to identify emerging trends, unusual activity and potential risks across prediction market ecosystems.  
• Conduct quantitative analysis of platform activity, liquidity flows and market participation.  
• Support wallet attribution and transaction tracing investigations through data analysis and blockchain intelligence.  
• Identify relationships between wallets, users, market makers, liquidity providers and other entities of interest.  
• Produce analytical reports, visualisations and dashboards to support operational and strategic decision-making.  
• Develop automated processes to improve intelligence collection, monitoring and reporting capabilities.  
• Partner with Intelligence Analysts to support investigations involving prediction markets, cryptocurrency activity and sports betting operators.  
• Work with Data Science and Engineering teams to develop scalable analytical solutions.  
• Evaluate data usage patterns and commercial activity relevant to Sportradar's products, services and intellectual property.  
• Conduct network and behavioural analysis to identify clusters, patterns and anomalies.  
• Contribute to the development of new methodologies, tooling and analytical capabilities 

ABOUT YOU

• 2+ years' experience in data analytics, market surveillance, data science, financial crime analytics, trading analytics 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 and data visualisation techniques. 
• Familiarity with prediction markets, market makers, liquidity providers and trading ecosystems. 
• Experience building dashboards and data visualisations using tools such as Power BI, Tableau or Looker. 
• Experience extracting, transforming and analysing data using APIs from prediction market platforms, blockchain networks and other structured data sources. 
• Strong analytical and problem-solving skills. 
• Ability to communicate complex findings to technical and non-technical stakeholders. 
• Exceptional report-writing and presentation skills. 
• Motivated self-starter with an investigative mindset. 

Advantageous 

• Experience analysing blockchain or cryptocurrency data. 
• Familiarity with Chainalysis, TRM, Elliptic, Dune Analytics, Nansen, Arkham or similar platforms. 
• Understanding of sportsbook trading, betting markets or exchange-based wagering. 
• Experience with graph analytics and network analysis tools. 
• Knowledge of intellectual property enforcement, anti-piracy or revenue protection. 
• Experience using i2 Analyst's Notebook, Maltego or similar software. 
• Understanding of machine learning, anomaly detection or behavioural modelling. 
• Additional language skills.

OUR OFFER:

• A collaborative environment with colleagues from all over the world (Offices in Europe, Asia and US) including various social events and teambuilding. 
• Flexibility to manage your workday and tasks with autonomy. 
• A balance of structure and autonomy to tackle your daily tasks. 
• Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants. 
• Global Employee Assistance Programme. 
• Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience). 
• Online training videos. 
• Flexible working hours.

While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation—both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a fully on-site model, with team members working in the office five days a week to build relationships, exchange ideas, and grow together.

OUR RECRUITMENT PROCESS: 

• Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations. 
• Two Hiring Team Interviews: Meet with the Hiring team and Hiring Manager to dive into your expertise, as also discuss team fit. 
• Assessment: task to showcase your technical skills.
• Final Steps: Receive feedback and, if successful, an offer! 

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!