EU remote
Sr Pricing Analyst (m/f/d)
About this role
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 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).