Yepoda

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

Full-time3-5 yrsBerlinNot disclosedApply by 13 Oct 2026
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WA

Overview

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 St

What you'll do

  • 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.

Requirements

  • Practical experience with Data.
  • Experience level: 3-5 yrs.
  • Strong written and verbal communication in English.
  • Comfortable working on-site in Berlin.

Skills

Data

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