Business Intelligence Engineer, Supply Chain Execution Team

Join our team to build the analytical foundation that powers North Americas fulfillment network. Youll design and maintain data pipelines dashboards and machine learning models that enable supply chain leaders to make confident data-driven decisions across 450 facilities and billions of inbound units annually.

Key job responsibilities
- Define and maintain analytical frameworks that translate operational knowledge into quantified target states across fulfillment network domains working with supply chain partners to document what good performance looks like and how to measure distance from target

- Build and support data pipelines and dashboards that evaluate whether plans are converging toward target states including automated reporting on plan deviations constraint violations and execution misses with root-cause attribution

- Audit upstream data inputs that feed the planning chainincluding transit time configurations forecast accuracy inventory health and capacity assumptionsto ensure the analytical foundation remains reliable

- Partner with supply chain optimization and operations teams to surface where system outcomes diverge from network-level goals quantify the impact and support investigation into root causes

- Contribute to evolving our measurement systems as the network changes updating target-state definitions and detection methodologies to stay relevant as new fulfillment centers open and operational patterns shift


A day in the life
Youll focus on strengthening the analytical definitions and measurement systems that guide our fulfillment networks planning and execution. Your day might include collaborating with supply chain planners to refine how we measure network balance across regions validating the data inputs that feed our planning systems or investigating why a weekly plan deviated from reality and documenting the root cause for the team to learn from.

Youll work across multiple domainsfrom demand forecasting accuracy to inventory positioning to transfer effectivenesseach requiring you to translate operational complexity into clear measurable definitions. Youll partner with our supply chain optimization team to understand how their systems perform at the network level then surface where outcomes could improve. Youll also support our operations teams by ensuring they have the dashboards and reports they need to make decisions at their level of detail.

Beyond routine responsibilities youll contribute to evolving how we think about planning. As the network changesnew fulfillment centers open regionalization shifts seasonal patterns evolveyoull help us update our target-state definitions so our metrics stay relevant. Youll participate in designing new measurement frameworks that move us from understanding what happened to predicting what will happen next.

About the team
Our customersS&OP Planning supply chain optimization teams fulfillment center operations and transportation leadershiprely on us to answer their most pressing questions. Were excited to work with someone who understands that great analytics only matter if they change how people make decisions. Youll join a team that measures success not by the elegance of our models but by whether our partners act on our insights and whether those actions improve network outcomes.

- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- 1 years of SQL ETL or Oracle experience
- 1 years of processing large multi-dimensional datasets from multiple sources experience
- 1 years of performing statistical analysis experience
- 1 years of developing automated reporting experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with data modeling warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at TN Nashville - 94600.00 - 160000.00 USD annually
USA TX Austin - 99500.00 - 160000.00 USD annually
USA WA Bellevue - 99500.00 - 160000.00 USD annually