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SHOP APOTHEKE EUROPE

Senior Product Analyst

SHOP APOTHEKE EUROPE

. Own Product Analytics across Retail Media and Marketplace as the central Analytics partner for Product Managers and business stakeholders .

Posted 11/5/2026full-timeRemote • Cologne • GermanySeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in Product Analytics, leveraging strong SQL skills and experience with A/B testing to drive data-informed decisions. Capable of translating complex datasets into actionable insights while collaborating effectively with cross-functional teams.

Highest-signal resume keywords
Product Analytics ExperienceStrong SQL SkillsA/B Testing ExpertiseData Visualization ToolsCritical Thinking

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLProduct ExperimentationA/B TestingEvent TrackingKPI FrameworksBehavioral AnalyticsData AnalysisAnalytical ModelingCustomer Journey AnalysisPython
Soft Skills
Critical ThinkingClear CommunicationCollaborationAdaptabilityOwnership
Tools & Technologies
Power BITableauLookerMicrosoft OfficeExcel
Industry Keywords
E-commerceDigital MarketplacesRetail MediaProduct OptimizationAgile Environment

Tech Stack

Tools & technologies
PythonSQLTableau

About the role

Key responsibilities & impact
  • Own Product Analytics across Retail Media and Marketplace as the central Analytics partner for Product Managers and business stakeholders
  • Drive data-informed Product decisions by translating complex datasets into actionable insights, recommendations and measurable business outcomes
  • Establish and improve Product tracking, KPIs, event tracking requirements and measurement approaches
  • Introduce and develop experimentation practices, including A/B testing, hypothesis development, experiment design, evaluation and interpretation
  • Identify Product optimisation opportunities through quantitative analysis and support roadmap prioritisation
  • Conduct deep-dive analyses for complex Product and business questions
  • Communicate findings to technical and non-technical stakeholders
  • Build and maintain dashboards and reporting solutions
  • Collaborate with Product, Engineering, Data and commercial teams to embed Analytics throughout Product discovery, development and optimisation
  • Support consistent experimentation and tracking standards and a unified Product Analytics vision
  • Explore and apply AI-powered tools to improve analytical workflows and accelerate insights

Requirements

What you’ll need
  • 5+ years of experience in Analytics
  • At least 2–3 years specifically in Product Analytics, ideally supporting digital Products or platforms
  • Strong hands-on SQL skills, including independently querying data, understanding complex query logic, identifying issues and developing analytical models
  • Practical experience with Product experimentation and A/B testing, including hypothesis definition, experiment design and results interpretation
  • Understanding of Product tracking and measurement, including event tracking, KPI frameworks and behavioural Analytics
  • Experience with at least one Data visualisation tool such as Power BI, Tableau, Looker or comparable
  • Comfortable using Excel and Microsoft Office alongside modern Analytics tools
  • Excellent critical thinking and numerical reasoning
  • Experience working with Product Managers and cross-functional stakeholders and translating findings into recommendations
  • AI literacy and curiosity, with a critical approach to data quality and accuracy
  • Ability to work in an agile, collaborative environment, take ownership and adapt to changing priorities
  • Clear communication of complex analytical concepts and ability to work independently across multiple Product domains
  • Fluent English; German language skills beneficial but not required
  • Previous experience in e-commerce, digital marketplaces or Retail Media is nice to have
  • Experience analysing customer journeys, conversion funnels, engagement or monetisation is nice to have
  • Working knowledge of Python for analytical tasks is nice to have
  • Experience contributing to experimentation frameworks or improving Product Analytics practices across teams is nice to have
  • Exposure to high-growth digital businesses or evolving Product organisations is nice to have

Benefits

Comp & perks
  • Work from home arrangement, individually arranged when office presence is not required, including up to 20 days per year anywhere in the EU
  • Creative team events and regularly scheduled parties
  • Kindergarten grant of €100 total per month for employees paying childcare costs
  • Free, anonymous professional psychological support through nilo
  • Internal and external training and career development support
  • Fully funded Deutschland Ticket
  • Urban Sports Club M package with sports and health opportunities