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Join our Shop Analytics Team as a Data Analyst (m/f/d) 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.
Job Responsibility:
Conduct in-depth analyses on shop user behavior to uncover actionable insights
Drive shop optimization and growth by providing analytical insights
Shape the success metrics for our shop, developing and monitoring KPIs
Provide full-cycle A/B test analytical support to optimize shop performance
Define tracking requirements and support QA of tracking implementations
Design and implement advanced dashboards, enabling self-service analytics
Collaborate with multiple stakeholders across the organization to answer shop-related questions with analytical insights
Requirements:
At least 3 years of 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
Experience with data visualization tools (e.g., Looker Studio, Tableau, or similar)
Advanced knowledge of A/B testing methodology and statistical analysis
Strong understanding of customer segmentation and cohort analysis in the e-commerce context
Proactive and self-driven
Collaborative mindset
Pragmatic approach to problem-solving
Attention to detail and commitment to data quality
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