Senior Product Owner - Data & Analytics (m/f/d)

About Yepoda Our mission is to bring Clean K-Beauty Innovations , from Korea straight to Europe, UK, and the US – without ever compromising on our values, quality, and sustainability. Our clean, mindfully produced skincare products are made with love in Korea, vegan, cruelty-free, and packed with the best natural and active ingredients. Founded in 2020 by Sander Joonyoung van Bladel and Veronika Strotmann, Yepoda is a fast-growing beauty start-up based in the heart of Berlin. Our products are available across Europe and, since March 2025, at Sephora Europe – online and in over 250 stores. As a certified B Corp™ , we are committed to building a business with purpose. With a team of over 120 brilliant individuals from around the world, we are actively shaping Yepoda’s story every day. We are looking for a Senior Data & Analytics Product Owner to join our growing Data team at Yepoda. In this role, you will partner closely with our Head of Data & Technology to shape how we build and ship data and analytics products across the business — driving alignment with stakeholders, prototyping ideas hands-on, and making sure our data capabilities translate into real commercial outcomes. Your Tasks Own the company-wide analytics function, i.e., the KPI framework, reporting cadence, BI tooling/glossary, and our decision-support and reporting standards. Own the product delivery roadmap for data initiatives for Yepoda's central Data analytics team. Translate commercial questions (CAC/LTV, channel mix, contribution margin, cohort behaviour, inventory turnover, etc.) from Marketing, Operations, Finance and other functions into scoped, prioritized data products and repeatable analyses. Write product requirements, user stories, and acceptance criteria that data engineering and analytics teams can execute against without ambiguity. Be the person who closes the gap between "the business wants something" and "the team knows what to build." Lead discovery and drive experimentation with stakeholders for new data capabilities, from self-serve analytics tooling to ML-powered features. Your Profile 3-5 years in a product management or product owner role in BI or Analytics or closely adjacent role at a relevant D2C, e-commerce, or consumer brand. Strong business understanding, you think in terms of impact, not just output. Deep understanding of D2C metrics (e.g., CAC, LTV, CIR/ROAS, contribution margin, cohort analytics, marketing attribution, etc). Exceptional communication and stakeholder management skills. Proven ability to operate at C-level, translating fuzzy commercial questions into sharp, defensible analyses Comfortable operating in ambiguity and moving fast in a startup environment. You create structure rather than waiting for it. Excellent written and spoken English. Nice to Have Exposure to modern data stack concepts (data warehouses, Self-Serve Analytics tools, ML pipelines); you don't need to build them, but knowing the landscape helps. Experience writing