Marketing/Product Data Analyst (m/f/x)

Your Responsibilities:

• Drive and execute analytics projects to support data-driven decision-making across e-commerce teams, including Paid Marketing, CRM, and Product.
• Develop and analyze customer segments and audiences to drive personalized marketing, customer retention, and lifetime value.
• Collaborate closely with internal stakeholders and external service providers, including ERP and BI teams.
• Own and manage BI systems used within e-commerce (i.e. Looker, Power BI, Google Analytics), ensuring scalability, usability, and data integrity.
• Design, build, and maintain key performance dashboards that provide actionable insights for e-commerce stakeholders.
• Support tracking implementation (i.e. Google Tag Manager, Firebase, Adjust) and define relevant KPIs to effectively monitor and optimize business performance.
• Translate complex business questions into analytical approaches. Present insights to stakeholders and product owners, turning data into action and supporting customer strategy.
• Promote a data-driven mindset within the team. Provide methodological guidance and mentorship to junior colleagues, contributing to team development and knowledge-sharing.

Your Profile:

• 3+ years of experience leveraging customer data to answer business questions and drive targeting strategies, including advanced statistical analysis. Strong quantitative background with a degree in Economics, Statistics, Mathematics, Computer Science, or a related field.
• Strong technical understanding of ERP systems, CommerceTools and data warehouse (DWH) architectures.
• Deep knowledge of marketing and e-commerce analytics; hands-on experience working with tracking data (web and app) and integrating multiple data sources.
• Advanced skills in data methodologies and technologies (Python and SQL) and visualization tools, e.g. Looker and Power BI.
• Proven experience in a data-driven role within e-commerce or a similar digital environment.
• Fast learner and problem solver; proactive, analytical, and solution-oriented team player.
• Strong communicator with the ability to tell data stories and bridge commercial and technical perspectives; excellent written and spoken English; proficiency in German is an advantage.

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