rebuy

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

Berlin, Germany full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

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.
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Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Data Analysis Finance MySQL Operations Python Mid level

Likely questions

  1. Tell us about work you have done that is close to the Senior Analyst, Pricing & Revenue Optimization (m/f/x) role.
  2. How would you approach your first 30 days at rebuy?
  3. Which of Data Analysis, Finance and MySQL have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Finance and MySQL.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior Analyst, Pricing & Revenue Optimization (m/f/x) role because I can bring practical experience in Data Analysis, Finance and MySQL, learn the team quickly, and contribute to the outcomes rebuy needs from this hire.

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