About The Position

Amazon's fulfillment network delivers millions of packages to customers every day, and the speed and reliability of that experience is powered by data. As a Business Intelligence Engineer I on our Supply Chain Execution Analytics team, you will build and maintain the dashboards, data pipelines, and reporting systems that help supply chain leaders understand network performance and make better decisions. This role sits at the center of Amazon's customer experience flywheel: by strengthening how we measure and improve fulfillment execution, you directly enable faster, more reliable delivery, which drives customer trust, repeat purchases, and long-term growth.

Requirements

  • Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
  • Experience with scripting language (e.g., Python, Java, or R)

Nice To Haves

  • Knowledge of data modeling and data pipeline design
  • Experience with operations/supply chain
  • Experience with statistical analysis and correlation analysis
  • Familiarity with ETL processes and workflow orchestration tools (e.g., Airflow)

Responsibilities

  • Build and maintain data pipelines and dashboards that track fulfillment network performance, enabling supply chain planners to identify and act on deviations from plan
  • Support the development of analytical frameworks by partnering with senior engineers and supply chain stakeholders to document target-state metrics and measurement definitions
  • Audit upstream data inputs feeding the planning chain, including transit time configurations, forecast accuracy, and capacity assumptions, flagging data quality issues for resolution
  • Investigate reported plan deviations and execution misses by performing root-cause analysis and documenting findings for team review
  • Contribute to reporting automation efforts that reduce manual analysis, working within established tooling and engineering standards

Benefits

  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave
  • sign-on payments
  • restricted stock units (RSUs)
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