Amazon
Sr. Business Intelligence Eng, Amazon Leo Customer Terminals
$130K–$176K
Redmond, WA · Senior · Full-time · Posted Oct 12, 2026
- Experience
- 10+ years of professional or military experience; 5+ years of SQL; 5+ years in a related data analyst, data engineer, or business intelligence role.
- Education
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field.
- Visa sponsorship
- Candidates must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
About the job
Build analytics, data pipelines, and reporting for Amazon Leo aviation terminal operations, spanning quality, procurement, supply chain, BOM management, and manufacturing delivery.
What you'll do
- Develop dashboards, reports, and analytics for quality management, procurement, supply chain, and BOM accuracy and traceability.
- Build and maintain ETL/ELT pipelines that unify manufacturing, ERP, quality, and partner data in a data warehouse.
- Partner with operational and technical teams to define KPIs and turn business questions into actionable insights.
What they ask for
- 10+ years of professional or military experience, including 5+ years in a related data analyst, data engineering, or business intelligence role.
- 5+ years of SQL experience; advanced SQL and scripting for automation, such as Python.
- Experience with AWS technologies and extracting, transforming, and cleaning multi-TB datasets.
- Bachelor's degree or foreign equivalent in a listed or related field; experience in statistical analysis, experimental design, and data science or machine learning.
Nice to have
- Experience working with business stakeholders and communicating results to senior leadership.
- Experience with ERP systems such as SAP, Oracle, or Workday, or FAA regulations or similar technical platforms.
Pay
130,400.00 - 176,300.00 USD annually (base salary)
Tools
SQL, AWS, Python, SAP, Oracle, Workday
AI focus
The role requires experience with machine learning, data science, and data mining; no specific AI product development is stated.
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