Senior Product Analyst - Shop Analytics (all genders)

• 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
• 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)

• 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.