Sr Pricing Analyst

Sportradar AG; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Global offices

Flexible workday

Autonomy

Well-being apps

Job summary

Sportradar AG is seeking a Senior Pricing Analyst to lead quantitative pricing models that drive commercial decisions. You will work with large multi-product datasets, building revenue and ROI models and using AI-enabled analytics to inform strategy across content and products.

The role focuses on pricing optimization, scenario modeling, and maintaining global price lists, with collaboration across the Revenue Strategy team and mentorship of junior analysts in a dynamic, on-site environment.

Qualifications

• Degree in Finance, Economics, Mathematics, Statistics, Engineering, or related quantitative field.
• 5+ years in financial modeling, pricing analytics, data analysis, or commercial finance.
• Experience in financial revenue modeling and ROI modeling.
• Strong AI skills and practical use of advanced analytics tools.
• Ability to analyze large revenue datasets and translate them into actionable recommendations.
• Advanced Excel and financial modeling; proficiency in SQL and analytics/BI tools (Python or R a strong plus).
• Exposure to sports betting/gaming, data, or SaaS environments welcome.

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.
• Create and maintain global price lists across products and content.
• Run scenario modeling and price elasticity analysis to support pricing decisions.
• Support content and product valuation, including ROI assessment for content acquisition and new products.
• 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.

Skills

Financial modeling

Pricing analytics

Data analysis

Excel

SQL

Python

R

Education

Degree in Finance, Economics, Mathematics, Statistics, Engineering, or related quantitative field

Tools

SQL

Python

R

Excel

BI tools

Job description

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 Description

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. 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 modeling rigor across the team.

THE CHALLENGE

• Build andmaintainfinancial 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 advancedanalytics toolingto accelerate modeling, scenario analysis, and data exploration.
• Create andmaintainglobal price lists across products and content.
• Run scenario modeling and price elasticity analysis to support pricing decisions.
• Support content and product valuation, including ROI assessment for content acquisition and new products.
• Partner with the Revenue Strategy team to ensure models reflect strategy and policy.
• Set modeling standards and mentor junior analysts, reviewingmethodologyand outputs for rigor.

ABOUT YOU

• Degree in Finance, Economics, Mathematics, Statistics, Engineering, or related quantitativefield.
• 5+years in financial modeling, pricing analytics, data analysis, or commercial finance.
• Demonstrated experience infinancial revenue modeling and ROI modeling.
• Strong AI skills— practical use of advanced analytics tools to accelerate analysis, modeling, and insight generation.
• Proven ability to analyze largerevenue and operational datasetsand translate them into actionable recommendations.
• Advanced Excel and financial modeling skills;proficiencyin SQL and analytics/BI tools (Python or R a strong plus).
• Exposure to sports betting/gaming, sports data, or B2B data/SaaS environmentswelcome.

Key Success Metrics

• Speed of pricing updates
• Accuracy of content valuation

OUR OFFER:

• Acollaborative environmentwith colleagues from all over the world (Offices in Europe, Asia and US) including varioussocial eventsandteambuilding.
• Flexibilityto manage your workday and tasks withautonomy.
• A balance ofstructureandautonomyto tackle your daily tasks.
• Vibrantandinclusivecommunity, includingWomen in TechandPride groupswhich welcome all participants.
• GlobalEmployee Assistance Programme.
• CalmandReulay app(leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience).

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.