Senior Data Analyst (m/f/d)

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 100 brilliant human beings who came from all over the world to write Yepoda’s story actively.

We are looking for a Senior Data Analyst to join our growing Data team at Yepoda. In this role, you’ll shape how we understand and engage with our customers, building the analytical foundation that powers personalized marketing, smarter decisions, and sustainable growth.

• Partner with Influencer Marketing, Growth Marketing, and CRM teams to design, measure, and optimize personalized campaigns that drive customer engagement and business growth.

• Develop and unify attribution models and advanced customer segmentation frameworks to better understand the customer journey and enable targeted marketing strategies.

• Contribute to the development and integration of Yepoda’s Customer Data Platform (CDP), ensuring seamless use of data across marketing tools and systems.

• Build automated reporting and insight-generation pipelines to accelerate data-driven decision making and reduce manual effort.

• Conduct deep-dive analyses on campaign performance, customer lifetime value, churn, and retention to deliver actionable recommendations.

• Promote data literacy and governance within marketing teams, empowering stakeholders to confidently interpret and apply insights.

• 5+ years in data analytics, marketing analytics, or data science roles within e-commerce or retail.

• Knowledge and experience of modern marketing measurement: marketing mix modelling (MMM), marketing attribution & incrementality testing to determine channel efficiency.

• Knowledge and experience of customer segmentation using behavioral, demographic, and transactional data.

• Proficient in SQL, Looker Studio, and git.

• Expertise in statistical analysis, hypothesis testing, and A/B test analytics.

• Strong stakeholder management and communication skills to bridge business and technical teams.

• Excellent English skills (written and spoken).

• Experience working with Customer Data Platforms (e.g., Segment, Rudderstack, or similar) and integrating them into marketing workflows.

• Hands-on experience building prediction models for customer lifetime value (LTV), churn, and retention to enhance personalization strategies.

• 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.