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5 дней назад

Senior Data Analyst - Shop Analytics

70 000 - 85 000
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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