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Sportradar is seeking a Senior Pricing Analyst to serve as the quantitative engine behind the pricing function. In this role, you will build financial, revenue, and ROI models that operationalize pricing strategy and directly influence revenue growth and profitability across the organization.
You will work across large, multi-product revenue and operational datasets, leveraging modern AI and analytics tooling to translate data into pricing decisions at speed. As a key partner to commercial, product, and strategy teams, you will help shape how Sportradar's products and services are valued and monetized.
Key responsibilities include:
- 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 modeling 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 modeling 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
Success will be measured by pricing model adoption and commercial impact, speed and quality of pricing recommendations, and accuracy of content valuation.
Sportradar is the world's leading sports technology company at the intersection of sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on their technology.
The company operates on a fully on-site model with team members working in the office five days a week to foster collaboration and innovation.
REQUIREMENTS:
- 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 with practical use of advanced analytics tools to accelerate analysis, modeling, and insight generation
- Proven ability to analyze 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 considered a significant advantage
