Business Intelligence Engineer, Supply Chain Innovation, Bulk Fulfillment
Core
Design scalable data pipelines, build predictive models for capacity planning and demand forecasting, and create executive dashboards to drive strategic decisions for Amazon's bulk fulfillment expansion.
Role type
Senior Business Intelligence Engineer (Supply Chain Analytics)
Builds
Data pipelines, automated reporting mechanisms, executive dashboards, and predictive/optimization models for distribution centers.
Domain
Retail / Supply Chain / Data Engineering
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, ETL, data warehousing, statistical analysis, data visualization, Python scripting, data modeling
Preferred skills
AWS solutions (EC2, DynamoDB, S3, Redshift), data mining, large-scale complex dataset handling
Technologies
Redshift, Oracle, NoSQL, Tableau, QuickSight, R, SAS, Matlab, Python, Asana, Slack, SCOT, AFT, MSP
Responsibilities
Design and build scalable data pipelines synthesizing information from multiple sources; Create automated reporting mechanisms for Senior leadership; Develop data quality frameworks ensuring accuracy across distribution centers; Create executive dashboards and one-pagers for Senior leadership; Build predictive models for capacity planning and demand forecasting; Conduct deep-dive root cause analysis when metrics degrade.
Seniority
Senior, hands-on IC
