At Amazon, we're working to be the most customer-centric company on earth. One customer experience that we’re constantly taking to new levels is how we fulfill and deliver customers’ orders. Our goal is to delight our customers by delivering their packages quickly and accurately, anywhere in the world. To meet this goal, Amazon is continually striving to innovate and provide best-in-class service levels by pioneering new products and services in the last mile delivery space. Come join the team and help us work hard, have fun, and make history!

The EU Fleet Operations team operates in the various European countries to optimize the branded fleet availability, by partnering with multiple internal stakeholders across the Amazon Last Mile organization as well as with our external partners such as Delivery Service Providers (DSP), Fleet Management Companies (FMC) and Original Equipment Manufacturers (OEM).

We work with large amounts of novel data and provide insights that help deliver billions of packages to customers every year. We are looking for a Sr. Fleet Insights Manager who is ready to roll up their sleeves and help us develop actionable, data-driven insights to support the Fleet Operations team automation and operational excellence projects / data asset development. In this role you will develop and lead new analytics solutions (dashboards, metrics, analytics) that supports critical process improvement automation.

To be successful in this role, you'll need to be a diligent time/project manager, strong communicator, and problem solver extraordinaire. You'll work on large, complex initiatives with a high degree of ambiguity, and you'll also advocate on behalf of customers. Candidates will use data and analytic engineering to drive changes across multiple organizations.

This role is located in Luxembourg.


Key job responsibilities
- Developing and maintaining performance dashboards with key metrics for review with senior leadership and business teams; synthesizing large quantities of data to help create new, step-change initiatives for the organization.
- Onboarding data from our WW data warehouse to build automated data pipelines utilizing eg Python in Lambda or Sagemaker to invoke API calls.
- Using statistical techniques and tools for strategic deep dives; generating actionable insights and effectively communicating recommendations to senior leadership.
- Inventing new ways to analyze data to identify the trends and gaps in the experience and services we provide to our delivery service partners.
- Partnering with other data engineers and analysts to build and automate central tools that will improve and streamline the quality of reporting and analysis in the organization.
- Lead cross organizational/regional projects on automation, data and reporting improvement.
- Partner with our global teams, align on reporting needs, setup, maintain and own data pipelines.
- Learn, explore, apply, and gain expertise in many internal Amazon data and public AWS products including Glue, Redshift, Quicksight, and Lambda.