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Analyst, Same Day Topology, LTP

Amazon

Analyst, Same Day Topology, LTP

full-timePosted: Jul 28, 2026Updated: Aug 27, 2026Luxembourg, Luxembourg

Job Description

Have you ever ordered a product on the Amazon website and wondered how it got delivered to you via Same Day, and what kinds of topology, demand and capacity processes are running behind the scenes to power the whole operation? If so, this role is for you. Key job responsibilities In this role, you will be responsible for steering our LTP topology to deliver end-to-end benefits across Customer Experience, Speed, and Cost. This is a role for an exceptionally talented person, with high energy and courage, passionate about ambiguity and delivering concrete improvements for our customers, and who wants to achieve that using data. The role is split 70% analytics and 30% project management. The key job responsibilities can be split in two buckets: (1) Data Analytics/Science - Deep dive complex data to uncover actionable insights for known and unknown problems - Good expertise with SQL techniques - Build strong analytics tools to highlight defects and extract actionable insights from our end-to-end supply chain (2) Project management: - Lead regular business reviews with partner teams to monitor progress of projects in the roadmap, and help remove bottlenecks - Use and share your insights with partner teams to influence and build a roadmap of projects that accelerate speed of deliveries in your country - For the most complex and ambitious opportunities, quickly launch new pilots and build scale-up business cases with benefits, bottlenecks, risks, and resources required - Consolidate progress into crisp, concise, data-driven status updates. You will own reporting to Amazon senior leadership. A day in the life You'll work across First Mile and Last Mile topology teams to shape the physical network that powers Same Day: classifying and sizing node types (Nexus, dedicated Same Day sites, standard fulfillment sites), evaluating RE candidates against coverage and capacity needs, and reconciling demand against what the network can realistically serve at a regional and site level. You'll turn that analysis into a prioritized roadmap and drive it through recurring workshops with Real Estate, Topology, Finance, and Science partners, tracking action items to closure and reporting progress up to senior leadership. About the team Long Term Planning Analytics Team - Same Day Topology LTP is one of those analytical teams. We are obsessed by rethinking our advanced end-to-end supply chain to make our deliveries even faster. Our overall mission is simple: we want Amazon to be the place where our products can be delivered the same-day. - Long Term Planning analytical teams are transversal centers of expertise, composed of engineers, analysts, and scientists. We are focused on Amazon most complex problems, processes and decisions. We work with fulfillment centers, transportation, finance and retail teams across the world, to improve our logistic infrastructure. - Operations is at the heart of the Amazon customer experience. Each action we undertake is on behalf of our customers, as surpassing their expectations is our passion. We improve customer experience through continuously optimizing the complex movements of goods from vendors to customers throughout Europe.

Locations

  • Luxembourg, Luxembourg

Skills Required

  • analyzing data to drive decisionsintermediate

Required Qualifications

  • Bachelor's degree or equivalent qualification in Math, Engineering, Science or Business (degree in equivalent qualification in math)
  • Experience in analyzing data to drive decisions (experience)
  • Experience engaging, verbally and in writing, with internal and external stakeholders to convey complex ideas in a clear, concise manner (experience)
  • Ability to lead and structure projects, in particular liaising and collaborating with internal partners to influence direction and roadmaps, despite competing priorities (experience)

Preferred Qualifications

  • Ability to progress autonomously in ambiguous environment (experience)
  • Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates. (experience)

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