Senior Product Analyst (m/f/d)

In this role you will own Product Analytics for Retail Media and Marketplace, guiding data-driven product decisions and performance measurement. You will partner with Product Managers and stakeholders to translate data into actionable insights and measurable impact. You will establish robust product tracking, KPIs, and experimentation practices to inform roadmaps and optimise customer journeys. You will work in a small, collaborative team with ownership and visibility, shaping analytics foundations for growth and transformation at a leading European e-pharmacy.

• Work from Home flexibility up to 20 days a year
• Redcare team events
• Kindergarten grant
• Mental health support via nilo
• Personal development through training
• Deutschland Ticket mobility

• Own Product Analytics across Retail Media and Marketplace, acting as central Analytics partner for Product Managers and stakeholders
• Drive data-informed product decisions by translating complex datasets into actionable insights and measurable outcomes
• Establish and improve product tracking with meaningful KPIs and event tracking requirements
• Introduce and develop experimentation practices including A/B testing, hypothesis development, experiment design, and evaluation
• Identify opportunities for product optimisation through quantitative analysis and roadmap prioritisation
• Conduct deep-dive analyses to answer complex product and business questions for technical and non-technical stakeholders
• Build and maintain dashboards and reporting solutions to monitor product performance
• Collaborate cross-functionally with Product, Engineering, Data and commercial teams to embed Analytics
• Support development of consistent experimentation and tracking standards for unified Product Analytics
• Explore and apply AI-powered tools to improve analytical workflows and accelerate insights

• 5+ years of Analytics experience with 2–3 years in Product Analytics, preferably for digital products or platforms
• Strong hands-on SQL skills and ability to independently query data and build analytical models
• Experience with Product experimentation and A/B testing, including hypothesis development and result interpretation
• Understanding of Product tracking, event tracking, KPI frameworks and behavioural analytics
• Experience with at least one data visualization tool (Power BI, Tableau, Looker or similar)
• Proficiency with Excel and Microsoft Office alongside modern analytics tools
• Excellent critical thinking and numerical reasoning, structured problem-solving
• Experience translating findings into recommendations for Product decisions with cross-functional stakeholders
• AI-literate and curious about leveraging AI in analytics while ensuring data quality
• Ability to work in an agile, collaborative environment and communicate clearly across domains
• fluency in English; German beneficial but not required

• critical thinking
• communication
• collaboration
• SQL
• A/B testing
• Product analytics