Head of Data (m/f/d)
Berlin
Yepoda
Explore Korean skincare made with natural ingredients for radiant, healthy skin. Glow starts here!🫰✨About Yepoda
At Yepoda, Korean effectiveness meets sustainable solutions: our mindfully produced skincare products are made with love in Korea. Our mission is to bring the best beauty innovations from Korea straight to Europe – without ever compromising on our values, quality, and sustainability. All our products are made with the best natural and active ingredients, are vegan and cruelty-free. We aim to make the K-Beauty routine easy, effective, and fun.
We are a beauty start-up founded in 2020 and located in the heart of Berlin. Our team is composed of over 90 brilliant human beings who came from all over the world to write Yepoda’s story actively.
We’re now looking for a Head of Data (m/f/d) to grow and empower our data function while staying hands-on with technical and analytical projects. You’ll lead through collaboration, mentorship, and by delivering insights that empower teams across the business. Your goal: make analytics a true driver of business outcomes.
We encourage you to apply even if you don't meet every single requirement — we value potential, diverse experiences, and fresh perspectives.
Key Responsibilities
Scale and lead the data team
Thoughtfully grow and mentor a diverse team of analysts, engineers, and (eventually) data scientists
Define clear roles, career paths, and team structure to support current needs and future growth
Foster a collaborative, inclusive, and high-impact culture where talent thrives through mentorship, shared success, and strong technical standards
Ensure high-quality analytics and technical understanding
Oversee and contribute to daily analytics work across forecasting, churn prediction, cohort analysis, marketing performance, and operational reporting
Partner with teams across the business to identify evolving data needs and deliver consistent, actionable insights
Stay close to the technical side — data models, pipelines, architecture — to ensure business decisions are grounded in solid, scalable data foundations
Align data and business strategy
Translate company goals into a clear, actionable data roadmap that supports product, marketing, ops, and leadership
Ensure insights are not just developed, but clearly communicated and embedded into decision-making and product roadmaps
Align expectations across teams, clarifying priorities, timelines, and resources
Drive sustainable and balanced growth
Pace the development of the data function to match business needs — evolving infrastructure, tooling, and team capacity sustainably
Collaborate with leadership to secure the resources (people, tools, budget) needed to maintain strong data quality and business impact
Build scalable processes and governance to ensure insight delivery is structured, reliable, and impactful
Requirements
5+ years of experience leading data teams (analytics, engineering, or science) or equivalent experience gained in e-commerce environments
Proven experience building and scaling high-performing teams — from hiring and mentoring to setting up balanced team structures
Deep understanding of e-commerce data and KPIs across marketing, product, and operations; experience in the beauty sector is a plus
Strong hands-on expertise in analytics and BI (forecasting, churn modelling, cohort analysis, marketing performance)
Solid understanding of data architecture, modelling, and pipelines using tools like Airbyte, Airflow, Fivetran, GraphQL, Kafka, REST APIs, AWS S3
Proficiency in SQL and Python (Jupyter Notebook, pandas, numpy, pytorch, scipy, tensorflow), with experience in BigQuery or similar (Snowflake, Redshift, Databricks), dbt/dataform, and git platforms (GitHub, GitLab, Bitbucket)
Familiarity with platforms like Shopify, Amazon, Meta Ads, Google Analytics (GA4), and Looker Studio
Knowledge or hands-on experience with AI projects is a plus
Ability to align technical data solutions with business goals and make insights actionable
A strategic mindset with the ability to pace growth and identify gaps in tools or talent
Clear and confident communicator able to bridge technical and non-technical teams, and foster an inclusive, high-performance culture
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 ownership from day one, 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
Work 3 days in the office and enjoy the flexibility of remote working the rest of the week.
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
Enjoy Yepoda products at a discount and share them with friends and family.
Unique Add-ons
Enjoy an Urban Sports membership package to help you stay active and healthy.
Ready to be a part of our journey? Then we'd love to hear from you! 🫰✨
Make sure to apply by clicking on the “Apply for this job” button below. Please upload your CV and Cover Letter in English. Our Talent Acquisition team will review your application and get back to you as soon as possible.
At Yepoda, we are dedicated to providing equal employment opportunities to all individuals, regardless of race, colour, 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow APIs Architecture AWS BigQuery Bitbucket Databricks Data quality dbt E-commerce Engineering FiveTran Git GitHub GitLab GraphQL Jupyter Kafka KPIs Looker NumPy Pandas Pipelines Python PyTorch Redshift SciPy Snowflake SQL TensorFlow
Perks/benefits: Career development Pet friendly Startup environment
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