The GCF ACES Capacity team is seeking a Business Intelligence Engineer to deliver insights and models to optimize the capacity of the NACF sortable and non-sortable network.

As a Business Intelligence Engineer, you will collaborate with cross-functional teams including Operations, Engineering, Supply Chain, and Finance to identify, monitor, and measure programs that enhance our sortable and non-sortable network's capacity. You will be responsible for data analysis, visualization, dashboards, and automation which directly impact Amazon's ability to meet customer demands while optimizing operational costs. This role will serve as the technical owner of a network specific Max Mechanical Volume (MMV) model, a critical tool that determines capacity thresholds and optimization opportunities.


Key job responsibilities
• Understand the performance and operational characteristics of sortable (IXD & ARS) and non-sortable systems from inbound to outbound dock across all building generations
• Own the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs.
• Develop and provide analysis of actionable findings from key metrics or problems. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations
• Work with product and program managers to build data sets and other products that answer their specific business questions
•Collaborate with Data Engineers (DEs) and Business Intelligence Engineers (BIEs) to create data pipelines, and automate manual processes using scripting languages such as Python
• Interface with technology teams to extract, transform, and load data from a wide variety of data sources
• Lead deep dive analysis of business problems, formulate conclusions and recommendations to be presented to senior leadership
• Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting


About the team
Our vision is to build tomorrow's fulfillment network by revolutionizing how we predict and optimize capacity. The NACF ACES Capacity team is the source of truth for fulfillment network capacity, spearheading evidence-based solutions and strategic decisions to ensure sustainable growth that outpaces customer demand. We utilize automated modeling and analysis to clearly understand existing under the roof (UTR) constraints. We leverage these insights to prioritize and implement hardware, software, and process changes which eliminate these bottlenecks. We are an organization of experienced, dynamic, and data-driven problem solvers who take the appropriate ownership of initiatives to guarantee their success. We are key partners of short, mid, and long-term planning teams, providing the necessary inputs to make important business decisions which directly impact our customers. Our goal is to create a sustainable, scalable framework that not only addresses immediate operational challenges but also anticipates and prepares for future growth. Through the integration of short-term tactical planning and long-term strategic forecasting, we are building a foundation that will enable Amazon to maintain its competitive edge while consistently exceeding customer expectations.

Though the Job Details state specific locations, the ACES team is Field by Design and the role can therefore be based out of any Amazon location. Relocation is feasible but not required. Onsite presence is mandatory 5 days per week. Travel may be required up to 50% based on business demand.