Amazon.com Services LLC
Business Intelligence, Business Intel Engineer, operations
BusinessIntelligenceEngineer-SCOT,FulfillmentOptimization,SCOT-FO
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Business Intelligence Engineer - SCOT, Fulfillment Optimization, SCOT-FO at Amazon.com Services LLC. Skills: Business Intelligence, Data Engineering, Forecasting, Data Analysis. Own data architecture. Own reporting infrastructure”
What You'll Achieve.
Meet delivery promise; Billions in fulfillment cost; Translate model improvements into business impact; Support planning decisions; Surface issues before downstream consumers; Make team faster; Make forecasts more reliable
Industry & Context.
Data-driven decision making; Root-cause investigation; Data drift
What They're Looking For.
Must Have
3+ years analyzing data, 1+ years SQL, 1+ years ETL, 1+ years Oracle experience, 1+ years processing large datasets, 1+ years statistical analysis, 1+ years developing automated reporting, Experience data visualization, Experience data modeling, Experience warehousing, Experience building ETL pipelines, Experience Statistical Analysis packages, Experience using SQL, Scripting experience Python, Experience Data & AI technologies
Nice to Have
Experience AWS solutions, Experience data mining, Experience using databases
What You'll Do.
Own data architecture
Own reporting infrastructure
Build automated pipelines
Maintain automated pipelines
Develop AI-assisted workflows
Automate recurring analyses
Automate anomaly detection
Automate root-cause investigation
Partner to validate model outputs
Partner to backtest forecast accuracy
Translate model improvements
Design self-service dashboards
Build self-service data products
Support planning decisions
Drive data quality improvement
Define data contracts
Build alerting systems
Collaborate to implement analytics systems
Collaborate to implement data structures
How You'll Work.
Team & Collaboration
Research scientists; Economists; Software development teams; Partner teams; Teammate's code change
Communication Scope
Leadership summaries; Executive summaries
Full Job Description
Every time an Amazon Customer makes a purchase, the Fulfillment Optimization (FO) Team determines how to fulfill that order in the most cost-effective way while meeting the delivery promise. Our planning inputs — Units per Box (UPB), Destination Demand Forecast (DDF), and Cube per Package (CPP) — are foundational signals consumed by transportation planning, capacity planning, and cost forecasting systems across Amazon's fulfillment network. Getting these forecasts right directly impacts billions of dollars in annual fulfillment cost. We are part of Amazon's Supply Chain Optimization Technology (SCOT) Group, which develops systems that optimize inventory placement, transportation, and fulfillment plans across marketplaces worldwide. The FO Planning & Forecasting team is seeking a Business Intelligence Engineer (BIE) who combines deep analytical skills with a builder's mindset — someone who can architect data pipelines, develop automated reporting systems, and apply AI-powered tooling to accelerate insight generation and decision-making at scale. Key job responsibilities - Own the data architecture and reporting infrastructure for UPB, DDF, and CPP forecasting inputs across US and international marketplaces - Build and maintain automated pipelines that produce weekly forecast bridges, variance decompositions, and accuracy tracking consumed by leadership (WBR, QBR, OP cycles) - Develop AI-assisted analytical workflows that automate recurring analyses, anomaly detection, and root-cause investigation across large-scale forecasting datasets - Partner with research scientists and economists to validate model outputs, backtest forecast accuracy, and translate model improvements into business impact ($M attribution) - Design and build self-service dashboards and data products that enable product managers and scientists to independently explore forecast performance without ad-hoc requests - Mine and integrate data across simulation results, log files, fulfillment systems, and
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