Business Intelligence Engineer, Amazon Intermodal
Core
Build data foundation and analytical tooling to power cost optimization across the intermodal network by transforming supply chain data into automated pipelines, dashboards, and deep-dive analyses.
Role type
Senior Business Intelligence Engineer (Supply Chain Optimization)
Builds
Automated ETL pipelines, self-service dashboards, and analytical reports for intermodal cost reduction.
Domain
Logistics / Supply Chain / Data Engineering
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, ETL development, statistical analysis, data modeling, data warehousing, data visualization (Tableau/Quicksight), Python scripting, Redshift, Oracle, NoSQL, R/SAS/Matlab
Preferred skills
AWS solutions (EC2, DynamoDB, S3, Redshift), data mining, generative AI tools for workflow enhancement
Technologies
Redshift, Oracle, NoSQL, Tableau, Quicksight, R, SAS, Matlab, Python, AWS (EC2, DynamoDB, S3)
Responsibilities
Design and maintain scalable ETL pipelines and data models; develop automated dashboards for real-time visibility; conduct deep-dive analyses on cost trends and anomalies; define and monitor key business metrics; automate manual analytical workflows; partner with Product, Supply Chain, and Finance teams to deliver data solutions.
Seniority
Senior, hands-on IC
