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Principal Data and Product Analyst - Size & Fit

Switzerland, Zurich · Job Posted February 21, 2026
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Job Description

As a Principal Data and Product Analyst for Size & Fit, you will play a key role in addressing the challenge of finding the right fit in online shopping. Size and Fit works towards solving the customer problem of not being able to find the right fit in online shopping. Our mission involves gaining a deep understanding of customers’ preferences related to size and fit, as well as a comprehensive knowledge of product attributes and influencing assortment buying decisions with sizing insights. In this role, you will collaborate closely with the Size and Fit team, which includes members from Product Management, Analytics, Applied Science, and Engineering. You will act as a bridge to the commercial team. You will measure and analyze how the solutions we provide to our customers are impacting our business and your insights will enable strategic commercial decisions at Zalando.

Job Responsibility

  • Bring the business data-driven analytical approach to the Size & Fit Team
  • you generate hypotheses and try to test them by performing descriptive, exploratory and quantitative analyses
  • You can translate data into actionable insights for the business
  • You know when a hypothesis can only be tested by an experiment, and you can help create and drive them
  • You are the connector between the Customers, Product and the Business. You can translate the Size and Fit benefits to answer complex customer behaviour questions, connect them to business questions and identify and measure opportunities
  • Be a reliable partner for the Size & Fit Team when related to monitoring, reporting and analytics, and support the Team with more complex analysis
  • Enable your stakeholders to drive actionable insights independently by strengthening the foundations of analytics infrastructures
  • Close cross-functional collaboration with Applied Science, Product, Engineering, Business and Operations to drive innovation. You incorporate data from different sources within and outside of Zalando to drive projects

Requirements

  • Proven track record of 5+ experience in analytics, preferably with some experience in e-Commerce and product development teams
  • University degree in Mathematics, Economics, Computer Science, Quantitative social science, or a comparable subject
  • Strong technical background with advanced SQL skills and experience with ETL pipelines (e.g. Python, Databricks)
  • Experience with data visualization tools such as Looker Studio, Tableau, MicroStrategy, or equivalent
  • Advanced statistical skills such as A/B testing and causal inference. Constant drive and tenacity to learn new techniques and tools are a must
  • Understanding of the economics of online platforms and/or online fashion retailers, as well as the commercial KPIs governing their success
  • Effective communication to convince any audience with the insights you generate and compelling storytelling in any form that enables decision-making
  • Enjoy working cross-functionally
  • you have great stakeholder management skills to work with different levels of management to support, challenge and bring solutions
  • Hands-on mentality, a person who always finds solutions to challenges. You are proactive, can adapt quickly to changes and always remain focused on our quality objectives

What we offer

  • 27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)
  • 2 paid volunteering days a year
  • Hybrid working model with up to 60% remote per week
  • Work from abroad for up to 30 working days a year
  • Employee shares program
  • 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
  • Relocation assistance available (subject to prior agreement)
  • Family services, including counseling and support
  • Health and wellbeing options (including Wellhub, formerly Gympass)
  • Mental health support and coaching available
  • Drive your development through our training platform and biannual peer-to-peer review

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