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

rebuy

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This role on the market

287 open optimization roles across 83 companies are on ApplySarthi right now, most of them in Bengaluru (8), Delhi NCR (2).

What optimization roles keep asking for: Python (35%), Machine learning (23%), LLMs (19%), PyTorch (16%), SQL (13%), Stakeholder management (13%) — counted across their open postings here.

Kotlin jobs · Looker jobs · Power BI jobs · Python jobs

rebuy has 3 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for optimization roles keep coming back to Python, Machine learning, LLMs, PyTorch. Practise those questions before you sit with rebuy.

Questions you are likely to be asked

  1. Why do you want to join rebuy?
  2. What is your experience with Kotlin? Tell me one thing you learned the hard way.
  3. Tell me about an analysis that changed a decision. What did you find?
  4. How do you check that your numbers are right before you share them?
  5. Walk me through a dashboard or report you built. Who used it, and for what?

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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. The Role We are seeking an experienced Senior 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. Key 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 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 language, 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 Preferred: 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 Location: Berlin Hybrid model (Must be willing to work from the office at least 2 days a week) Purpose, a great company culture and incredible benefits - what to expect at rebuy: 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. *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. Find more English Speaking Jobs in Germany on Arbeitnow

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Listed on arbeitnow · posted 2026-10-13. ApplySarthi collects openings and links to application pages; the role is advertised by rebuy, not by us.