BI Engineer II: Cloud Data & Supply Chain Analytics

Amazon; Arlington (VA); On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

Health insurance

RSUs and 401(k)

Job summary

Amazon in Arlington, VA is hiring a Business Intelligence Engineer II to own data-driven Supply Chain insights. You will design scalable BI systems, build automated data pipelines, and partner with engineering to improve distribution and data governance.

This role emphasizes end-to-end data fabrication, reporting, and analytics across planning, sourcing, and logistics. You will work with senior leaders to deliver actionable insights, implement data quality standards, and apply ML/optimization

Qualifications

• End-to-end supply chain domain experience spanning planning, sourcing, manufacturing, logistics, and procurement.
• Ability to design automated data pipelines and scalable reporting solutions.
• Experience implementing master data management frameworks and data governance.

Responsibilities

• Design, develop and maintain scalable BI systems, reports, and dashboards to support business needs.
• Collaborate with program owners and engineering teams to improve Supply Chain Data.
• Apply analytics to extract insights from large data sets and inform decisions.
• Build data pipelines for extraction, transformation, and loading using SQL, Python, and AWS technologies.
• Implement master data management for Product, Vendor, Location, Item, and BOM data.
• Incorporate predictive analytics and optimization techniques where appropriate.
• Improve data delivery, release management, and internal customer experience.

Skills

SQL

Python

AWS big data

Data visualization

ETL/ELT

Master data mgmt

Data governance

Data analysis

Tools

AWS

Data pipelines

Job description

Amazon in Arlington, VA is hiring a Business Intelligence Engineer II to own data-driven Supply Chain insights. You will design scalable BI systems, build automated data pipelines, and partner with engineering to improve distribution and data governance.

This role emphasizes end-to-end data fabrication, reporting, and analytics across planning, sourcing, and logistics. You will work with senior leaders to deliver actionable insights, implement data quality standards, and apply ML/optimization