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.
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 SQL or working directly with data and AI tools such as Omni and Claude.
What We Offer
- Dynamic Environment: The opportunity to work in a start-up environment surrounded by a passionate and dedicated team.
- Accelerate Your Career: Take on responsibility from day 1, with room for professional growth and advancement as the company continues to expand.
- Inspiring Workspace: Located in the heart of Berlin's Prenzlauer Berg, a dog-friendly office, with free drinks and snacks.
- Hybrid Working: We understand that sometimes you get more stuff done from home and need a change of scenery.
- We Value Diversity: We seek to build an inclusive workplace that welcomes people from all different backgrounds. A welcoming, international, dedicated team with flat hierarchies and trust by default.
- Employee Discounts: You’ll get to enjoy the Y… Senior Data & Analytics Product Owner (m/f/d) — Yepoda, Berlin.