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Sportradar is seeking a Senior Pricing Analyst to serve as the quantitative engine behind the pricing function. You will build financial, revenue, and ROI models that operationalize pricing strategy and directly influence revenue growth and profitability across the business.
Key Responsibilities:
- 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 the 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
You will work as a key partner to commercial, product, and strategy teams, leveraging deep analytical expertise and understanding of the sports betting ecosystem. The company operates on a fully on-site model with five days per week in the Vienna office.
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 strongly preferred, with experience in betting products, sportsbook technology, sports data solutions, or B2B data/SaaS environments considered a significant advantage
