Senior Pricing Analyst

About the Role

Join a leading global sports technology company that serves over 1,700 federations, media, betting operators, and platforms in more than 120 countries. As a Senior Pricing Analyst, you will be the analytical backbone of pricing strategies, constructing financial, revenue, and ROI models that directly influence commercial decisions and the monetization of products and services.

Responsibilities

• Develop and maintain robust financial and ROI models to operationalize pricing strategies into actionable commercial decisions.
• Examine extensive multi-product revenue and operational datasets to reveal insights regarding pricing, margin, and profitability.
• Leverage AI and sophisticated analytics tools to enhance modeling, scenario planning, and rapid data exploration.
• Manage and update global pricing frameworks and price lists for a wide range of products and offerings.
• Conduct scenario modeling and impact analyses to assess commercial opportunities and guide strategic pricing choices.
• Support valuation and ROI assessment for content acquisitions and new product initiatives.
• Provide financial and revenue modeling support for new commercial ventures, product launches, and strategic investments within the sports betting and data portfolio.
• Collaborate closely with the Revenue Strategy team to ensure models align with policies and strategies.
• Establish high standards for modeling practices and mentor junior analysts by reviewing methodologies and outputs.

Requirements

• Bachelor's degree or higher in Finance, Economics, Mathematics, Statistics, Engineering, or a related quantitative discipline.
• Over five years of professional experience in financial modeling, pricing analytics, data analysis, or commercial finance roles.
• Proven expertise in building financial revenue models and conducting ROI analysis.
• Strong proficiency with AI and advanced analytics tools that accelerate data analysis and model development.
• Ability to analyze large datasets to produce practical and actionable pricing insights.
• Advanced skills in Excel and financial modeling; experience with SQL and analytics or BI platforms. Familiarity with Python or R is highly advantageous.
• Experience in the sports betting or gaming sectors is strongly preferred, especially involving betting products, sportsbook technologies, sports data solutions, or B2B data/SaaS contexts.

Key Performance Indicators

• Adoption rate and commercial impact of pricing models.
• Timeliness and quality of pricing recommendations.
• Accuracy of content valuation assessments.

What We Offer

• A multicultural and collaborative environment with colleagues worldwide, enriched by diverse social events and team-building activities.
• Autonomy in managing your workday and tasks, with a flexible yet structured approach.
• A dynamic and inclusive workplace culture, including groups supporting Women in Tech and LGBTQ+ pride.
• Access to a global Employee Assistance Program and wellness apps supporting mental resilience and mindfulness.
• Availability of online training resources and flexible working hours.

Work Environment

We place high value on face-to-face interactions, believing that collaboration and innovation flourish with in-person teamwork. This position requires working on-site in our Munich office five days a week to build strong relationships, share ideas, and grow collectively.

Recruitment Process

• Initial screening conversation with Talent Acquisition to explore your background and expectations.
• Two rounds of interviews with the hiring team and manager to assess expertise and team compatibility.
• Final feedback and offer for successful candidates.

Additional Information

Our company culture celebrates diversity and is committed to providing equal employment opportunities regardless of age, race, gender, religion, or other protected statuses. Candidates who meet most—but not all—of the criteria are encouraged to apply as we value learning and growth.