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

• 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.