Sr Pricing Analyst (m/f/d)
The 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 operationalise pricing strategy.
As a key partner to commercial, product, and strategy teams, the analyst will help shape how Sportradar's products and services are valued and monetised. The role involves working 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, the analyst will directly influence revenue growth, profitability and decisions across the business.
- Build and maintain financial revenue and ROI models that translate pricing strategy into commercial decisions.
- Analyse large, multi-product revenue and operational datasets to surface pricing, margin, and profitability insights.
- Apply AI and advanced analytics tooling to accelerate modelling, 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 modelling standards and mentor junior analysts, reviewing methodology and outputs for rigour.
- Degree in Finance, Economics, Mathematics, Statistics, Engineering, or related quantitative field (required).
- 5+ years in financial modeling, pricing analytics, data analysis, or commercial finance (required).
- Demonstrated experience in financial revenue modeling and ROI modeling (required).
- Strong AI skills - practical use of advanced analytics tools to accelerate analysis, modeling, and insight generation (required).
- Proven ability to analyse large revenue and operational datasets and translate them into actionable recommendations (required).
- Advanced Excel and financial modeling skills (required).
- Proficiency in SQL and analytics/BI tools (required).
- Python or R a strong plus (nice-to-have).
- 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 (preferred).
- 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.
Sportradar is a global sports technology company that collects, analyses and distributes sports data to betting operators, sports leagues and media companies. Headquartered in St. Gallen, Switzerland, and founded in 2001, it provides betting services, managed trading, integrity monitoring and audiovisual streaming across hundreds of sports. The company holds official data partnerships with organisations including the NBA, NHL, FIFA and ICC. Sportradar is listed on the Nasdaq stock exchange and employs several thousand people worldwide.