About the Company
Join our Shop Analytics Team as a Data Analyst (m/w/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.
Responsibilities
- 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
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 (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
Benefits
- Hybrid working
- Fresh fruit every day
- Sports courses
- Free access to code.talks
- Exclusive employee discounts
- Free drinks
- Language courses
- Laracast account for free
- Company parties
- Help in the relocation process
- Mobility subsidy
- State-of-the-art technology
- Central Location
- Flexible Working Hours
- Company pension
- Professional training
- Dog-friendly office
- AY Academy
- Feedback Culture
- Job Bikes