Business Intelligence Engineer - SCOT, Fulfillment Optimization, SCOT-FO LRN
Core
Architect data pipelines and reporting infrastructure for fulfillment forecasting inputs (IRA, LA, DLA) to optimize order fulfillment costs and delivery promises across Amazon's global network.
Role type
Senior Business Intelligence Engineer (Data Architecture & Forecasting)
Builds
Automated forecasting pipelines, variance decomposition systems, self-service dashboards, and AI-assisted analytical workflows.
Domain
Supply Chain Optimization / Logistics / Data Engineering
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, ETL pipeline development, statistical analysis, data warehousing, data visualization, Python scripting, large-scale dataset processing
Preferred skills
AWS solutions (EC2, DynamoDB, S3, Redshift), data mining, complex database management
Technologies
Redshift, Oracle, NoSQL, Tableau, Quicksight, R, SAS, Matlab, Python, AWS
Responsibilities
Own data architecture and reporting infrastructure for forecasting inputs; Build automated pipelines for forecast bridges and accuracy tracking; Develop AI-assisted workflows for anomaly detection and root-cause analysis; Partner with scientists to validate model outputs and translate improvements to business impact; Design self-service dashboards for product managers and scientists; Integrate data across simulation, log, and fulfillment systems; Drive data quality projects including defining data contracts and building alerting systems.
Seniority
Senior, hands-on IC