Business Intelligence Engineer – Sourcing Performance Operations

About the role

Amazon’s Global Supply Chain Optimization Technologies team is looking for a Business Intelligence Engineer to improve inbound freight visibility and efficiency. You will work on data models, ETL pipelines and dashboards that help optimize sourcing operations across the company.

Key responsibilities

• Design, develop and maintain complex data models and ETL pipelines supporting sourcing analytics.
• Create and optimize SQL queries for large‑scale data analysis in Redshift, Oracle and NoSQL environments.
• Build interactive visualizations and dashboards using Tableau, QuickSight or similar tools.
• Partner with business stakeholders to translate requirements into technical solutions.
• Implement data‑quality controls, monitoring and automated reporting.
• Collaborate with data‑engineering teams to improve data architecture and performance.

Required profile

• Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Business Analytics).
• At least 2 years of experience analyzing and interpreting large data sets.
• Proven ability to work with Redshift, Oracle, NoSQL databases and SQL.
• Experience building visual analytics with Tableau, QuickSight, Excel, MicroStrategy or PowerBI.
• Familiarity with statistical methods such as t‑tests and chi‑squared tests.

Required skills

• Amazon Redshift
• Oracle
• NoSQL databases
• SQL
• ETL development
• Tableau
• Amazon QuickSight
• Excel
• MicroStrategy
• PowerBI
• Statistical analysis (t‑test, chi‑squared)