About the role

In this role, you will shape pricing and commercial strategies for partner opportunities, advise stakeholders on trade-offs, and drive value through execution and experimentation. You will work across Commercial, Product, Data Science, Marketing, and partner-facing teams, often in situations where alignment matters as much as the analysis itself.

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.

What you'll bring

• 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.

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.