North America Sort Centers (NASC) is looking for a Business Intelligence Engineer within the NASC S&OP Forecasting team. The Sort centers network is the critical middle mile solution in the Amazon Transportation Services (ATS) group that links the fulfillment centers to the last mile/customers. The experience of our customers is dependent upon our ability to accurately, timely, and efficiently sort and deliver packages across North America.

We are looking for a detail-oriented, highly analytical, innovative, hands-on, technically skilled, and customer-obsessed analyst who will help in developing best-in-class solutions for the middle mile network, to deliver high quality customer experiences while minimizing cost and improving fulfillment speed. This role will require the candidate to work cross functionally and understand the long term requirements of the all programs that leverage the sort centers. The ideal candidate will have excellent analytical and communication skills and the ability to thrive in ambiguous situations. The role also offers the candidate the opportunity to work on the Operations Research based planning tools and partner with data and research scientists to define and develop new tools and improve existing products.

Key job responsibilities
• Taking the lead on the design, implementation, and delivery of BI solutions in a highly ambiguous and significantly complex problem space that have a long-term impact on a business, organization, or technology
• Owning the analytics space including the BI architecture, tools and modeling to support the operational planning cycles
• Strong quantitative skills to develop reporting mechanisms to deliver strategic insights
• Collaborating with multiple stakeholders within ATS NASC team to drive solutions that will have a tangible impact to the business
• Executing the OR based models and post processing the output
• Working closely with Network Planners, Product Managers, Data Scientists and various planning teams to drive business decisions and alignment with business stakeholders
• Deep diving gaps within forecasting tools and systems and provide feedback to the Data Sciences team