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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 .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesPythonSQLTableau
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