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 DescriptionThe Senior Pricing Analyst is the quantitative engine behind the pricing function — answering "how much" and "what if" by building the financial, revenue, and ROI models that operationalize pricing strategy. As a key partner to commercial, product, and strategy teams, you will help shape how Sportradar's products and services are valued and monetised.
You will work across large, multi-product revenue and operational datasets, using modern AI and analytics tooling to turn data into pricing decisions at speed, while setting the standard for modelling rigour across the team. Through deep analytical expertise and an understanding of the sports betting ecosystem, you will directly influence revenue growth, profitability and decisions across the business.
THE CHALLENGE
- Build and maintain financial revenue and ROI models that translate pricing strategy into commercial decisions.
- Analyze large, multi-product revenue and operational datasets to surface pricing, margin, and profitability insights.
- Apply AI and advanced analytics tooling to accelerate modeling, scenario analysis, and data exploration.
- Own and maintain global pricing structures and price lists across Sportradar's products, content, and commercial offerings.
- Develop scenario modelling and pricing impact analysis to evaluate commercial opportunities and support strategic pricing decisions.
- Support content and product valuation, including ROI assessment for content acquisition and new products.
- Provide business case, revenue, and ROI modelling support for new commercial initiatives, product launches, and strategic investments across Sportradar's betting and sports data portfolio.
- Partner with the Revenue Strategy team to ensure models reflect strategy and policy.
- Set modeling standards and mentor junior analysts, reviewing methodology and outputs for rigor.
ABOUT YOU
- Degree in Finance, Economics, Mathematics, Statistics, Engineering, or related quantitative field.
- 5+ years in financial modeling, pricing analytics, data analysis, or commercial finance.
- Demonstrated experience in financial revenue modeling and ROI modeling.
- Strong AI skills — practical use of advanced analytics tools to accelerate analysis, modeling, and insight generation.
- Proven ability to analyse large revenue and operational datasets and translate them into actionable recommendations.
- Advanced Excel and financial modeling skills; proficiency in SQL and analytics/BI tools (Python or R a strong plus).
- Professional experience in the sports betting/gaming industry is strongly preferred, with experience in betting products, sportsbook technology, sports data solutions or B2B data/SaaS environments is considered a significant advantage.
Key Success Metrics
- Pricing model adoption and commercial impact
- Speed and quality of pricing recommendations
- Accuracy of content valuation
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.
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, 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!
Sportradar London, England Office
London, United Kingdom
