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

Yepoda

Berlin

Hybrid

EUR 90.000 - 130.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Hybrid Working
Urban Sports membership
Employee discounts on Yepoda products
Dog-friendly office

Zusammenfassung

Yepoda, a Berlin-based clean K-beauty startup, seeks a Senior Data & Analytics Product Owner to shape data products that drive commercial outcomes. You will partner with Head of Data & Technology to align analytics with business goals and prototype data-driven solutions.

You will own the analytics function, define KPI frameworks, translate questions from Marketing, Operations and Finance into data products, and lead discovery with stakeholders.

Qualifikationen

  • 3–5 years in product management or product owner in BI/Analytics.
  • Strong business understanding with focus on D2C metrics (CAC, LTV, ROAS, etc).
  • Excellent written and spoken English; able to communicate with C-level stakeholders.

Aufgaben

  • Own the company-wide analytics function: KPI framework, reporting cadence, BI glossary, and decision-support standards.
  • Own the product delivery roadmap for data initiatives of Yepoda's central Data analytics team.
  • Translate commercial questions from Marketing, Operations, Finance into scoped data products and analyses.
  • Write product requirements, user stories, and acceptance criteria for data engineering and analytics teams.
  • Lead discovery and experimentation for new data capabilities, from self-serve analytics to ML-powered features.

Kenntnisse

Product management
BI/Analytics
Stakeholder management
Communication
Ambiguity handling
English proficiency
SQL
Omni
Claude

Tools

SQL
Omni
Claude

Jobbeschreibung

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.
  • 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 Yepoda products at a discount and share it with friends and family to keep your glow going!
  • Unique add-ons: Enjoy an Urban Sports membership package to help you stay active and healthy.

At Yepoda we are dedicated to providing equal employment opportunities to all individuals, regardless of race, color, ethnicity, ancestry, religion, national origin, citizenship, gender, gender identity or expression, sexual orientation, age, marital status, parental status, disability, or any other status protected by applicable law.

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