Senior Data & Analytics Product Owner
Yepoda
Seniority
Senior
Model
Hybrid
Sector
Salary
Undisclosed
Contract
Full-Time
Senior Data & Analytics Product Owner partnering closely with the Head of Data & Technology to shape how data and analytics products are built and shipped across the business — driving alignment with stakeholders, prototyping ideas hands-on, and ensuring data capabilities translate into real commercial outcomes.
What you'll do
- Own the company-wide analytics function, i.e., the KPI framework, reporting cadence, BI tooling/glossary, and 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.
- Lead discovery and drive experimentation with stakeholders for new data capabilities, from self-serve analytics tooling to ML-powered features.
What you'll need
- 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, 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).
- Experience writing SQL or working directly with data and AI tools such as Omni and Claude.
What they offer
- Dynamic startup environment with a passionate and dedicated team.
- Take on responsibility from day 1, with room for professional growth and advancement.
- Located in Berlin's Prenzlauer Berg; dog-friendly office with free drinks and snacks.
- Hybrid working flexibility.
- Employee discounts on Yepoda products and Urban Sports membership package.

