BI Engineer – AI-Driven Procurement Analytics

Amazon; Bellevue (WA); On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

Health insurance

RSUs

Parental leave

Job summary

Amazon is seeking a Business Intelligence Engineer within the Global Procurement Technology (GPT) BI&A team to drive sourcing visibility, compliance analytics, and vendor performance insights across global procurement.

You will partner with business stakeholders, build robust data models, and deliver actionable insights in a fast-paced environment, spanning metrics, ETL pipelines, and dashboards across regions.

Qualifications

• Experience developing and presenting recommendations of new metrics.
• Experience with data modeling, warehousing and ETL pipelines.
• Experience with data visualization using Tableau, Quicksight, or similar tools.
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
• Master's degree in sciences, engineering, finance or equivalent.

Responsibilities

• Understand sourcing and operational processes with stakeholders, define metrics and build analytical solutions.
• Balance business-facing work (requirements, adoption) with technical development (data modeling, pipelines, dashboards).
• Collaborate with regional teams to deliver scalable analytics.
• Transform fragmented data into standardized, governed analytics products.

Skills

Data modeling

ETL pipelines

SQL

Python

Data visualization

AWS services

Education

Master's degree in sciences, engineering, finance or equivalent

Job description

Amazon is seeking a Business Intelligence Engineer within the Global Procurement Technology (GPT) BI&A team to drive sourcing visibility, compliance analytics, and vendor performance insights across global procurement.

You will partner with business stakeholders, build robust data models, and deliver actionable insights in a fast-paced environment, spanning metrics, ETL pipelines, and dashboards across regions.