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Zalando

Online fashion retail marketplace and logistics

Senior Product Analyst - Data Products, All genders

Data AnalysisUpdated on Nov 13
Full-timeAnsbach, Germany

About the Job

Requirements

  • Strong experience as a Senior Business Analyst, Product Analyst, or similar role within product, marketplace, or ecommerce environments.
  • Deep understanding of how fashion brands make money across different marketplaces, including marketplace business models, key performance indicators, and brand decision-making processes.
  • Experience contributing to product discovery and working closely with Product Managers to shape product direction and priorities.
  • Experience working with dashboards, reports, and analytical outputs, with the ability to derive, structure, and communicate insights clearly.
  • Confidence working with data teams and understanding how data is sourced, structured, and interpreted in a product context.

Responsibilities

  • Act as the fashion and marketplace domain expert, deeply understanding how brands operate, monitor, and steer their business across different marketplaces.
  • Partner with Product Managers to shape product discovery, requirements, and prioritization, grounded in real customer and business problems.
  • Define and refine product and business-relevant fashion metrics and measures, including GMV, sell-through, availability, pricing, margin, and conversion, ensuring alignment with product strategy and measurable outcomes.
  • Translate business and product questions into clear analytical and data requirements, specifying the data, dimensions, and granularity required to generate meaningful and actionable insights.
  • Ensure that product features and data outputs are grounded in clear decision-making use cases, connecting insights to real customer workflows and business impact.
  • Interpret dashboards, analyses, and insights from a business logic, product usability, and customer perspective, ensuring outputs are actionable, trustworthy, and drive decisions.
  • Act as a bridge between Product, Data, and Engineering, aligning on what should be built and why, and ensuring shared understanding of business context and priorities.
  • Leverage AI and automation to enhance insight generation, improve product capabilities, and identify new opportunities for data-driven product innovation.
  • Define and evolve key performance indicator frameworks and data product logic, ensuring consistent, scalable, and transparent metrics that enable cross-channel steering and long-term commercial success.

About the Company

Zalando

Online fashion retail marketplace and logistics

Zalando operates as a European online marketplace for fashion and lifestyle items, selling clothing, shoes, and accessories directly to consumers and earning commissions from third-party sellers (plus Zalando Plus). Shoppers use its website or app to browse brands, and Zalando handles order processing and logistics, offering free delivery and free returns along with personalized recommendations and optional faster shipping for Plus members. It differentiates itself by combining direct sales with a large marketplace across 25 European markets, delivering a wide product range with strong logistics and a seamless shopping experience. Its goal is to remain a leading European online fashion retailer by connecting customers with many brands and improving convenience and services through technology and premium options.

Company size
10,001+
Company stage
IPO
Headquarters
Berlin, Germany
Founded
2008

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