Logistics Optimization Specialist for Amazon Europe

il y a 1 mois


Luxembourg City Amazon Europe Temps plein

Amazon Europe is seeking a talented Logistics Optimization Specialist to join our team. In this role, you will be responsible for driving all aspects of the Same Day long-term planning roadmap, from building topology and placement to inbound flows, connectivity, and network planning.

The goal of this position is to find the optimal setup that allows us to offer Same Day delivery at cost-parity with other fulfillment options in a 3-year horizon. This requires an exceptionally talented individual with high energy and courage, passionate about delivering concrete improvements for our customers using data.

You will spend 40% of your time managing stakeholders and projects, including leveraging planning tools developed by Science teams to assess optimal network topology and flows, sharing insights with partner teams to influence strategic decisions, and launching new pilots and building scale-up business cases.

The remaining 60% will be dedicated to analytical activities, such as deep diving into complex data to uncover actionable insights, working with software developers and research scientists to design next-generation software innovations, and leading regular business reviews with partner teams to monitor project progress and remove bottlenecks.

This is a dynamic and fast-paced environment that requires strong oral and written communication skills, the ability to synthesize complex issues clearly, and an entrepreneurial mindset. You will have the opportunity to work with a diverse team of experts and make a significant impact on Amazon's logistics infrastructure and algorithms.

We are looking for someone with a Bachelor's degree or equivalent experience in an analytical field, strong knowledge of SQL, and the ability to lead and structure projects autonomously. Expertise in SQL/Redshift is preferred, as well as the ability to thrive in ambiguous environments.

Salary: €80,000 - €120,000 per year, depending on experience



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