Sr Pricing Analyst

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 innovationboth 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.

OUR RECRUITMENT PROCESS: 

• Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations. 

• Two Hiring Team Interviews: Meet with the Hiring team and Hiring Manager to dive into your expertise as also discuss team fit. 

• Final Steps: Receive feedback and if successful an offer! 

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 youre willing to learn and grow with us we invite you to join our team!

Remote Work :

No

Employment Type :

Full-time