Data Analyst (m/f/d) - Shop Analytics - onsite in Hamburg

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.

What you will do

• 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

Who you are

• 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)