Senior Product Analyst for Data Products

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 (e.g. GMV, sell-through, availability, pricing, margin, conversion), ensuring alignment with product strategy and measurable outcomes.
• Translate business and product questions into clear analytical and data requirements, specifying what data, dimensions, and granularity are 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.

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, KPIs, and brand decision-making processes.
• Strong analytical mindset with the ability to reason about data, ask the right questions, and identify what information is required to support product and business decisions.
• 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.
• Strong communication skills with the ability to translate data into clear product and business narratives, influencing decisions across teams.

Conditions

• Employee shares program.
• 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners.
• 2 paid volunteering days.