Analyst, Pricing & Revenue Optimization (m/f/x)

About the Position

Analyst, Pricing & Revenue Optimization (m/f/x)

We’re looking for a Pricing Analyst to own our pricing engine. Build elasticity models and run A/B tests to drive profit for our circular economy mission.

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Responsibilities

• 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

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Requirements

• Approximately 3 to 5 years of experience in commercial analytics, pricing, or related analytical roles, preferably in e-commerce or marketplace environments
• Strong proficiency in SQL, Python/Kotlin, as well as other programming languages, are a plus
• Experience designing and executing A/B tests and experiments with measurable business impact
• Solid statistical knowledge
• Ability to translate complex analyses into clear, actionable business recommendations
• Effective stakeholder management skills and comfort presenting to senior leadership
• Strategic mindset with strong business acumen and commercial awareness
• Motivated and organized, thriving in dynamic environments

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Nice to Have

• Experience with pricing algorithms, dynamic pricing, or revenue management systems
• Knowledge of causal inference methods and advanced experimental design
• Familiarity with data visualization tools (e.g., Tableau, Looker, Power BI)
• Experience in sustainability-focused or circular economy businesses
• Understanding of marketplace or two-sided platform dynamics

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We Offer

• Competitive salary: €60,000 - €70,000 per year
• Hybrid model (Must be willing to work from the office at least 2 days a week)
• Work with a friendly team that is passionate about circularity and wants to make the world a little more sustainable, one transaction at a time.
• Feel comfortable in an environment where independence and new ideas are welcome.
• Benefit from flat hierarchies and the greatest possible transparency so that things don't take longer than they have to and you always feel well informed.
• Enjoy our centrally located office in Berlin (Erkelenzdamm 11 - 13, 10999 Berlin).
• Benefit from our family-friendly, flexible environment and paid child sick leave.
• Bring your dog to the office: we love animals and want to cuddle yours, too!
• Use employee discounts on rebuy.de, sustainable products at Futurebens, offers for sustainable micro-mobility and massages directly in our office.
• Have fun at our legendary team and company events.
• Use our mental health offers as part of a cooperation with Nilo.
• Take care of your work-life balance with 30 vacation days.
• Stay active with our own gym located directly in the building, making it easy to fit workouts into your daily routine.
• Benefit from an on-site daycare in the building, supporting a truly family-friendly and flexible working environment.

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About the Company

At rebuy, all people are welcome and supported! We would like to talk, regardless of age, disability, national and social origin, skin color, religion, gender identity, and sexual orientation. Just be who you are.

Location: Berlin, Germany

Employment Type: FULL_TIME

Date Posted: 2026-10-13