Amazon
Business Intelligence Engineer - SCOT, Fulfillment Optimization, SCOT-FO
$100K–$160K
Bellevue, WA · Full-time · Posted May 15, 2026
- Experience
- 3+ years in data analysis and interpretation; 1+ year in each of the additional stated areas.
About the job
Builds data architecture, forecasting pipelines, reporting, dashboards, and AI-assisted analytics for Amazon fulfillment planning inputs across marketplaces.
What you'll do
- Own data architecture and automated reporting for UPB, DDF, and CPP forecasts; deliver forecast bridges, variance analysis, and accuracy tracking.
- Develop AI-assisted workflows, dashboards, and data products for recurring analysis, anomaly detection, and root-cause investigation.
- Partner with scientists, economists, and software teams to validate models, improve data quality, support ML delivery, and quantify business impact.
What they ask for
- 3+ years analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
- At least 1 year each in SQL, ETL or Oracle; processing large multi-dimensional datasets from multiple sources; statistical analysis; and automated reporting.
- Experience with data visualization, data modeling, warehousing, and ETL pipelines.
- Experience with statistical analysis packages such as R, SAS, and Matlab; SQL and Python scripting; and Data & AI technologies.
Nice to have
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
- Experience in data mining, ETL, and using databases in a business environment with large-scale, complex datasets.
Pay
99,500.00 - 160,000.00 USD annually (base salary)
Tools
Redshift, Oracle, NoSQL, SQL, ETL, Tableau, Quicksight, Python
AI focus
Develops AI-assisted analytical workflows and an AI agent to automate recurring analyses and reporting, including anomaly detection and root-cause investigation; supports ML model delivery.
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