Senior Product Analyst for Data Products

As a Senior Product Analyst for Data Products, you bring deep expertise in the multi-channel marketplace ecosystem. You understand the mechanics of how large-scale sellers, mid-size tiers, and aggregators drive profitability across diverse platforms, and how they steer complex operations on a daily basis.

### 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.