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Senior Product Owner - Data & Analytics

YYepoda
RELISTED
Seniority
Senior
Model
Hybrid
Sector
Consumer
Salary
Undisclosed
Contract
Full-Time

Senior Data & Analytics Product Owner partnering 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 and 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 responsibility from day 1.
  • Located in Berlin's Prenzlauer Berg with dog-friendly office, free drinks and snacks.
  • Hybrid working model.
  • Monthly benefits budget to spend on what fits your lifestyle.
  • Employee discounts on Yepoda products.
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ABOUT YEPODA

Consumer · Series A stage

50+ employees

7 more open roles at Yepoda

This role is English-speaking. No German required.

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