Business Intelligence Engineer II, Fulfillment Optimization
Core
Building the analytics and explainability layer for Fulfillment Optimization systems to transform network-level plans into actionable signals for package flow, capacity allocation, and volume distribution.
Role type
Business Intelligence Engineer (Analytics & Explainability)
Builds
Explainability frameworks, analytical pipelines, dashboards, and automated reporting for Fulfillment Optimization systems
Domain
Logistics / Supply Chain Optimization / Data Analytics
Deliverable
dashboards & analysis
Required skills
Data visualization (Tableau, Quicksight), SQL, Python scripting, Data lineage tracing, Metric definition
Preferred skills
AWS solutions (EC2, DynamoDB, S3, Redshift), Advanced Excel (pivot tables, macros, VBA)
Technologies
Tableau, Quicksight, SQL, Python, AWS (EC2, DynamoDB, S3, Redshift)
Responsibilities
Design explainability frameworks to decompose model outputs into interpretable signals; Build pipelines to monitor output quality and detect anomalies; Partner with teams to align on shared metrics and enable self-service data access; Trace data lineage from source systems to downstream consumption
Seniority
Mid-level, hands-on IC
