EU remote
Senior / Staff Product Analyst - (Logistics, Service)
About this role
Test fast. Learn faster. As a Staff or Senior Product Analyst to spearhead the data strategy for our Logistics Service product line. You will move beyond simple reporting to shape the future of our product through rigorous hypothesis testing and by converting massive datasets into high-impact strategic narratives. You will also tackle one of the industry's toughest challenges, automating customer support at a scale of billions of orders.
Depending on your domain of focus, you will drive initiatives on cost-efficient chatbots, agent productivity, automated problem resolution, or predictive models for voucher and compensation issuance, all while balancing customer satisfaction with financial efficiency. The Service product line is where we ensure an amazing delivery and post-order experience for customers, riders, and vendors globally through user support applications, agent CRM products and chatbots.
You'll join our Product Analytics team, embedded directly within the product organization, where we foster a "data-first" culture that drives tangible change in product development. In our Logistics Team, you'll tackle high-impact challenges that make last-mile delivery efficient, affordable, and sustainable. Your work will directly improve experiences for customers, riders, and merchants across the globe. Each enhancement you contribute will help Delivery Hero optimize delivery operations, supporting expansion into new areas like grocery and retail.
Define the North Star: Develop and refine product metrics and leading indicators that accurately reflect product health, customer satisfaction, and business viability. Influence Roadmap: Use quantitative analysis to look beyond the numbers, providing the insights that empower Product Managers and Engineers to decide what to build and why, and Performance teams on how to localize solutions in the most efficient way. Drive Experimentation: Plan, execute and analyze A/B tests and guide product and operations teams on methodology, design, interpretation, and decision-making, to ensure we only ship impactful features.
Build for Scale: Drive the development of scalable analytics infrastructure and self-service capabilities, ensuring data quality and accessibility across the organization. Level up with GenAI: Push the frontier of analytics with GenAI, adapting our data stack and ways of working to match. Elevate the Team: Provide technical guidance and mentorship to other analysts, fostering a culture of knowledge-sharing, rigorous peer review, and technical excellence.