Sr Pricing Analyst

Sportradar; Greater London; On-site; GBP 70,000 - 95,000; Full time

Benefits offered by this job

Collaborative environment with global/

Autonomy in workday management

Structured yet flexible work approach

Diversity and inclusion groups (Women,

Employee Assistance Programme

Calm and Reulay wellbeing app

Online training videos

Flexible working hours

Job summary

Sportradar is seeking a Senior Pricing Analyst to drive pricing strategy through revenue and ROI models, leveraging AI and analytics to turn data into decisions. You will analyze large multi-product datasets, create global price lists, and support content valuation with rigorous modeling standards.

This role emphasizes collaboration across the pricing and revenue teams and opportunities to mentor junior analysts.

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 using analytics tools to accelerate modeling and insights.

Responsibilities

• Build and maintain revenue and ROI models translating pricing strategy into decisions.
• Analyze large multi-product revenue data to surface pricing and profitability insights.
• Apply AI and analytics tooling to speed modeling, scenario analysis.
• Create and maintain global price lists across products and content.
• Run price elasticity analysis to support pricing decisions.
• Support content and product valuation, including ROI for acquisitions.
• Provide business-case modeling for new commercial initiatives.
• Mentor junior analysts and ensure modeling rigor.

Skills

Advanced Excel

Pricing analytics

Financial modeling

Data analysis

AI analytics tools

Education

Finance or related quantitative field

Tools

SQL

Python

R

Job description

Company 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 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.


• Provide business-plan modeling support for new commercial initiatives.


• 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 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).


• Exposure to sports betting /gaming, sports data, or B2B data/SaaS environments welcome.

Key Success Metrics

• Pricing model adoption


• Speed of pricing updates


• Accuracy of content valuation

OUR OFFER

• 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.

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.

Additional Information

At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!