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What you'll do:
Own and evolve pricing strategies and optimization for B2B partner channels.
Build and lead experimentation roadmaps, including test design, success measures, decision frameworks, and post-test actions.
Evaluate pricing and growth opportunities through structured analysis, including elasticity, incrementality, cannibalization, and scenario modeling where relevant.
Act as a trusted advisor to senior internal and external stakeholders; surface trade-offs, align priorities, and drive decisions to closure; coordinate cross-functional execution across Commercial, Product, Data Science, Marketing, and operations teams.
Turn complex findings into concise executive narratives, recommendations, and decision-ready materials; manage strategic partner and vendor interactions when required, including presentations, working sessions, and follow-ups.
Requirements:
Experience applying quantitative analysis to commercial decisions in technology, e-commerce, travel, management consulting, internal strategy, or pricing.
Strong business judgment and structured problem-solving skills, with the ability to frame ambiguous questions, evaluate trade-offs, and recommend a path forward.
Exceptional stakeholder management and communication skills, including the ability to influence without authority and build alignment across functions, seniority levels, and geographies.
Fluency with data and analytical tools, including advanced SQL; experience with visualization tools such as Tableau or an equivalent platform.
Practical experience designing or interpreting controlled experiments and translating results into decisions.
A high-ownership, bias-for-action mindset and comfort operating in a fast-paced, test-and-learn environment.
A bachelor's degree in a quantitative, business, or related field, or equivalent practical experience.
It's a plus if you have
A background in using quantitative data for decision making within tech, ecommerce, management consulting, internal strategy, or pricing initiatives.
Experience building decision frameworks or analytical tools that are used repeatedly in live business decisions.
Working knowledge of Python or R for modeling and scalable analysis.
An MBA or other advanced degree; equivalent operating experience is equally valued.
What success looks like
Become a trusted advisor whose recommendations are clear, rigorous, and commercially grounded.
Turn pricing insights and experiments into decisions and coordinated execution.
Build alignment across stakeholders, functions, and markets.
Develop repeatable approaches that can scale across partners.
Benefits & Perks - Global Impact, Personal Relevance:
Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well as unique-to-Booking.com benefits which include:
Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave.
Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country).
Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit.
Welcome to the world of Booking.com Compass. This is the space and community we have created at Booking.com for all of you who have just started navigating your first career journey.
If you join our unique 15-month Graduate Software Engineering Program or Data Science & Analytics Graduate Program in our Amsterdam office, you’ll be offered a permanent role with a clear pathway to step into the next career level.