Our mission is to rethink online shopping and make it personal and seamless. It takes people who take initiative and challenge the status quo. We believe in flat hierarchies, direct communication, and pragmatic decisions. We work hard, but we also believe in enjoying the ride together - over team lunches, afterwork drinks, company events, or a quick coffee in between meetings. You’ll analyze complex e-commerce data to drive product decisions, optimize conversion funnels, and power personalization features that keep users engaged.
Working closely with Product Owners and cross-functional teams, you’ll provide full-cycle A/B test analytical support, create tracking concepts, and translate user behavior and shop performance insights into actionable business recommendations.
Provide full-cycle A/B test analytical support to optimize shop performance
Define tracking requirements and support QA of tracking implementations to ensure data accuracy and reliability
Design and implement advanced dashboards, enabling self-service analytics across the organization
Collaborate with multiple stakeholders across the organization to answer shop-related questions with analytical insights, supporting business decision-making
Advanced proficiency in SQL for complex data analysis and querying large datasets
Solid understanding of web analytics and experience working with frontend tracking data (GA4 experience is a plus)
Experience with data visualization tools (e.g., Looker Studio, Tableau, or similar) to create compelling dashboards and reports
Proactive and self-driven, with the ability to work independently and drive projects from conception to completion
Pragmatic approach to problem-solving, consistently delivering efficient, data-driven solutions.
Attention to detail and commitment to data quality and accuracy
Excellent communication skills, enabling the translation of complex data analysis into clear, actionable insights for diverse stakeholders.
Working knowledge of a programming language for data analysis (Python preferred)
Experience with big data technologies (e.g., Visit our benefits page.
Simply apply online via our career page - we will get back to you as soon as possible!
We take it as our responsibility to create an environment where everyone feels welcome, exactly as they are.