Senior Data Analyst - Shop Analytics
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Analyst - Shop Analytics: Analyze complex e-commerce data to drive product decisions, optimize conversion funnels, and enable personalization with an accent on full-cycle A/B test analytics, tracking concepts, and KPI ownership. Focus on building reliable measurement, designing advanced dashboards, and translating shop user behavior into actionable recommendations for business and product stakeholders.
Location: Hamburg or Berlin, Germany
Salary: EUR 70,000 - EUR 85,000 yearly
Company
is a fast-growing European e-commerce company operating at the intersection of fashion and technology.
What you will do
- Conduct in-depth analyses of shop user behavior to uncover actionable insights
- Drive shop optimization and growth by providing analytical insights to Business and Product Owners
- Develop and monitor shop success metrics (KPIs) that impact millions of users
- 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
- Design and implement advanced dashboards for self-service analytics across the organization
Requirements
- At least 3 years of relevant experience
- Advanced SQL skills 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)
- Advanced knowledge of A/B testing methodology and statistical analysis for experiment design and interpretation
- Strong communication skills to translate complex analysis into clear, actionable insights
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)
Culture & Benefits
- Flat hierarchies with direct communication and pragmatic decision-making
- Ownership, trust, and clear responsibility
- Team lunches, afterwork drinks, company events, and informal time for quick coffee between meetings
- Inclusive environment focused on acceptance and inclusion
Hiring process
- Apply online via the career page
- Interview steps and follow-up after application
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