Amazon Transportation Services Europe (ATS EU) Network Planning team is responsible for Amazon’s transportation network’s connectivity across Europe that delivers billions of shipments each year.
The team collaborates with multiple internal teams (e.g. Supply Chain, Finance, Tech, Retail) to create the optimal routes between origins and destinations to assure reliable package delivery to our customers at the fastest and cheapest way possible.
We are looking for a detail-oriented, highly analytical, innovative, hands-on, technically skilled, and customer-obsessed analyst who will help in developing a best-in-class middle mile network for the European Marketplace to deliver high quality customer experience while minimizing cost and improving fulfillment speed.
The candidate will also lead the volume management effort for Sort Centers across Europe.
As part of Network Planning team, you will be responsible for :
Optimizing the middle mile network for customer experience, cost and speed.
Evaluation of business cases impacting the ATS network on the parameters of customer experience, cost and speed.
Managing EU Sort Center volumes on a daily basis to ensure right performance while optimizing the cost for the entire network
Improving / automating the decision making and network audit process to improve efficiency.
Developing new metrics, dashboards to monitor the efficiency of the middle mile network.
Collaborating with multiple stakeholders within ATS team (Sort Centers, Line Haul, Amazon Air, Finance) and outside ATS team with EU Customer Fulfillment, and Amazon Logistics.
Working closely with colleagues (Operations Research Scientists and Network Planners) to drive analysis, business cases and alignment with business stake-holders.
Supporting the development of OR Tools defining the functional specifications and being a primary user of these tools.
4+ years of experience as a Business Analyst or Logistic Network Planner preferably in a logistic company with large, complex data sources
Master’s degree or equivalent in Logistics / Supply Chain / Mathematics / Science / Engineering / Business Development.
Experience in data visualization platforms (e.g. Tableau, PowerBI, Quicksight).
Experience using either Python or VBA
Experience in Statistical Software such as