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Berlin, Deutschland
Onsite
Yepoda is a clean K-Beauty brand that actually proves it works. We make Korean skincare without any of the compromises. Everything is clinically tested, 100% vegan, and formulated above EU standards. So you get the innovation and the results that K-Beauty is known for, plus a real commitment to sustainability. And we make it genuinely fun and easy to use — skincare you actually look forward to.
Founded in 2020 by Sander Joonyoung van Bladel and Veronika Strotmann, Yepoda is a certified B Corp™ and 1% for the Planet member, based in the heart of Berlin. Our products are available through our own online shop and, since March 2025, at Sephora Europe — online and in over 650 stores. With a team of 140+ brilliant individuals from around the world, we are actively shaping Yepoda's story every day.
We are looking for a Senior Data Analyst to join our Data team at Yepoda. In this role, you'll shape how we run and scale our operations, building the analytical foundation that powers smarter fulfillment, leaner supply chains, and better customer care.
Own the analytical partnership with Operations, Supply Chain, and Customer Care & Community Management. Translate ambiguous business questions into scoped problems, drive prioritization with stakeholders up to director level, and push back where needed rather than executing requests as briefed.
Design and maintain the dbt models, tests, and semantic layer that power performance dashboards and KPIs across fulfillment speed, stock accuracy, logistics performance, and service response times. Treat the modelling layer as the source of truth, not the dashboard.
Lead root cause and scenario analyses to identify inefficiencies, simulate process improvements, and recommend optimizations for supply and demand balancing. Take findings from raw signal to a defensible recommendation independently.
Partner with data engineering to scope and stabilize source ingestion from ERP, logistics partners, and customer care systems. Own the analytics layer on top in dbt Cloud, with proper tests, exposures, documentation, and PR discipline in GitHub.
Operate as an active member of the data team alongside data engineering, analytics engineering, and analytics. Contribute to shared modelling standards, code review, and the team's technical roadmap rather than working in isolation on a parallel stack.
Train and enable stakeholders on interpreting insights and using Omni for self-serve, raising the analytical maturity of the business functions you support.
5+ years in data analytics, analytics engineering, or operations analytics within e-commerce, retail, or logistics, with demonstrated delivery on supply chain, logistics, and customer care use cases.
Deep hands-on experience in dbt Cloud. You have built and maintained production models, written tests, managed exposures, and worked with semantic layers.
Strong fundamentals in data warehousing and dimensional modelling. Comfortable discussing grain, fact and dimension design, slowly changing dimensions, and trade-offs between normalized and denormalized structures.
Advanced BigQuery SQL, including window functions, performance tuning, and partitioning and clustering decisions.
Comfortable with Git-based workflows in GitHub for PRs, reviews, and CI.
Proficient in Omni, or able to demonstrate equivalent depth in a comparable modern BI tool such as Looker, Lightdash, or Cube.
Track record of leading stakeholder relationships at senior level: scoping, prioritizing, and challenging requests, not only fulfilling them.
Track record of working effectively inside a data team, partnering with data and analytics engineers on shared infrastructure rather than building parallel solutions.
Excellent written and spoken English.
Familiarity with ERP, WMS, or OMS systems (e.g., Odoo, SAP, or Shopify backend) and their data structures.
Exposure to process mining or operational analytics techniques to identify inefficiencies and optimize workflows.
Experience integrating data from logistics providers, warehouses, or customer support platforms (e.g., Zendesk, Gorgias) into unified reporting environments.
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.
Would you like to be part of the team? 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 language. 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, 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.
