Senior Data Analyst - Shop Analytics (all genders)

Company Description

ABOUT YOU is one of Europe’s fastest growing e-commerce companies. Based in Hamburg and Berlin, we operate at the intersection of fashion and technology. Our mission is to rethink online shopping and make it personal and seamless. This takes more than good ideas. It takes people who take initiative and challenge the status quo. We believe in flat hierarchies, direct communication, and pragmatic decisions. No long approval chains. Just ownership, trust, and clear responsibility. 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. If this sounds like you, ABOUT YOU could be the right place to bring in your perspective.

Job Description

Join our Shop Analytics Team within the Customer & Shop Intelligence cluster and directly impact millions of fashion shoppers’ experiences. 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.

• Conduct in-depth analyses on shop user behavior to uncover actionable insights
• Drive shop optimization and growth by providing analytical insights to Business and Product Owners and influencing product enhancements
• Shape the success metrics for our shop, developing and monitoring KPIs that directly impact millions of users' shopping experiences
• 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

Qualifications

• You have at least 3 years of relevant experience  
• Advanced proficiency in SQL for complex data analysis and querying large datasets
• Expertise in e-commerce KPIs and funnel analysis
• 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
• Advanced knowledge of A/B testing methodology and statistical analysis for experiment design and interpretation
• Strong understanding of customer segmentation and cohort analysis in the  e-commerce context
• Proactive and self-driven, with the ability to work independently and drive projects from conception to completion
• Collaborative mindset, adept at working with cross-functional teams and building strong relationships with stakeholders
• 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.
   

Nice To Have

• Working knowledge of a programming language for data analysis (Python preferred)
• Experience with big data technologies (e.g., Google BigQuery)
• Familiarity with version control systems (e.g., Git)

Additional Information

Your perks at a glance: Visit our benefits page.

Simply apply online via our career page - we will get back to you as soon as possible!

A Place Where You Can Be You
We take it as our responsibility to create an environment where everyone feels welcome, exactly as they are.
Different backgrounds and perspectives make us stronger and shape our culture in ways that matter.
What we stand for internally, we stand for as a brand: acceptance, inclusion, and a fairer approach to fashion.