Business Intelligence Engineer - SCOT, Fulfillment Optimization, SCOT-FO
Core
Architecting data pipelines and automated reporting systems for fulfillment cost optimization and demand forecasting across Amazon's global network.
Role type
Senior Business Intelligence Engineer (Data & AI)
Builds
Automated forecasting pipelines, self-service dashboards, and AI-assisted analytical workflows for supply chain planning.
Domain
Supply Chain Optimization / Data Engineering / Machine Learning
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, ETL pipeline development, data warehousing (Redshift, Oracle, NoSQL), statistical analysis (R, SAS, Matlab), data visualization (Tableau, Quicksight), Python scripting, AI/ML integration, large-scale dataset processing.
Preferred skills
AWS solutions (EC2, DynamoDB, S3), data mining, complex database management in business environments.
Technologies
Redshift, Oracle, NoSQL, Tableau, Quicksight, R, SAS, Matlab, Python, AWS (EC2, DynamoDB, S3), GenAI.
Responsibilities
Own data architecture and reporting infrastructure for UPB, DDF, and CPP forecasting inputs; build automated pipelines for forecast bridges and variance decompositions; develop AI-assisted workflows for anomaly detection and root-cause investigation; partner with scientists to validate model outputs and translate improvements to business impact; design self-service dashboards for product managers and scientists; mine and integrate data across simulation results and fulfillment systems; drive data quality improvement projects with alerting systems; collaborate with software teams to implement analytics systems supporting ML delivery.
Seniority
Senior, hands-on IC
