Ready to become part of the most important mission on this planet?
We are rebuy, pioneers in the sustainable reuse of electronics and media, and we are looking for you! Our mission: to make circular living accessible to all, one transaction at a time. By giving products a second chance, we reduce resource consumption and avoid unnecessary e-waste.
Our global team of 500 drives things forward collaboratively, takes personal responsibility, values constructive critical thinking, and is dedicated to serving our customers and planet.
We are seeking an experienced Analyst, Pricing & Revenue Optimization, to join our Data Science & Analytics team as a strategic partner and technical expert. In this role, you will steer our pricing strategy and commercial analytics function, translating complex data into actionable business insights that directly impact revenue and profitability.
You will work collaboratively on high-impact projects and partner with senior leadership to shape data-driven commercial decisions across the organization.
Take ownership of the pricing tool used by the commercial department
Develop and optimize end-to-end pricing strategies, including algorithm development, implementation, and continuous performance monitoring
Design and execute complex pricing experiments and A/B tests, analyzing results and providing strategic recommendations to leadership
Build and maintain sophisticated pricing models and algorithms using advanced analytical techniques
Generate commercial insights by conducting deep-dive analyses on pricing elasticity, customer behavior, market dynamics, and competitive positioning
Collaborate with senior stakeholders across Commercial, Product, Operations, and Finance to identify opportunities and solve complex business challenges
Create and automate reporting frameworks and dashboards to enable self-service analytics across the organization
Establish best practices for pricing analytics, experimentation, and commercial decision-making
Stay current with industry trends in pricing optimization, e-commerce analytics, and circular economy business models