Senior Marketing Analytics Manager (m/f/x)
We are looking for a Senior Marketing Analytics to join our paid marketing team. In this role, you aren’t just a “report builder” - you are the strategic advisor to the Paid Marketing team. You will be the bridge between complex data architecture and high stakes business decisions.
We need a challenger: someone who uses data to proactively stress-test out assumptions, pivot our acquisition roadmap, and ensure we are placing our biggest bets on the highest impact opportunities.
Ready to become part of the most important mission on this planet? We are rebuy, pioneers in the sustainable reuse of electronics and media. and we are looking for you! Our mission: to make circular living accessible to all, one transaction at a time. By giving products a second chance, we reduce resource consumption and avoid unnecessary e-waste.
Our team of 600 comes from all corners of the world; we drive things forward collaboratively, take personal responsibility, value positive critical thinking, and persistently serve our customers and planet.
Key Responsibilities:
Marketing Measurement & Strategy:
Strategic Measurement: Drive and refine our marketing measurement framework, encompassing attribution modeling, incrementally testing, and Marketing Mix Modeling (MMM). Synthesize these insights into clear, actionable recommendations for budget allocation, channel strategy, and fueling long-term growth
Performance Insight: Apply advanced techniques like cohort analysis and LTV modeling to deliver a holistic, forward-looking view of marketing performance across all products
Project Ownership: Lead analytical initiatives from initial stakeholder discovery through to deployment of automated dashboards and delivery of final, actionable strategic recommendations
Marketing Data Infrastructure & Experimentation:
Data Modeling Ownership: Own the evolution of our marketing data infrastructure, specifically our dbt-based models and Looker explorers. Collaborate closely with data engineers and channel managers to translate complex business challenges into scalable data models, key metrics, and analytical output
Experimentation Rigor: Champion the statistical rigor of all testing initiatives. Design, execute, and evaluate A/B and lift tests to ensure measurable improvements in customer acquisition and retention performance
Workflow Automation: Proactively explore and implement AI-driven analytical workflows, leveraging tools like Claude Code or Cursor, to continuously push the boundaries of efficiency and innovation
