BI Engineer II: Data-Driven Supply Chain Analytics

Amazon Inc.; Omaha, Northern (NE, KY); Hybrid; USD 100,000 - 160,000; Full time

Job summary

Amazon Data Services, Inc. is seeking a Business Intelligence Engineer II to design, build, and maintain scalable data systems and dashboards that empower AWS leadership with timely insights into the supply chain and operations.

You will partner with product and engineering teams to deliver end-to-end data pipelines, apply advanced analytics, and ensure data governance across Product, Vendor, Location, Item, and BOM masters, contributing to scalable, cost-efficient decisions.

Qualifications

• Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
• 5+ years of data engineering experience, including designing, developing, and operating large-scale data structures for business intelligence analytics using ETL processes
• 5+ years of SQL experience, including pulling data from databases and data warehouses, writing complex queries, and optimizing performance
• Experience with AWS Cloud Stack technologies: Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• 3+ years of end-to-end supply chain domain experience (planning, sourcing, manufacturing, logistics, or procurement)
• Proficiency in Python and at least one additional modern programming language (Java, Scala, or NodeJS) for data processing, scripting, and modeling
• 3 + years of Experience with data visualization tools such as Tableau, QuickSight, or similar platforms to deliver executive‑level reporting and dashboards

Responsibilities

• Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support the needs of the business.
• Collaborate with internal program and product owners, engineering teams to improve distributed and Supply Chain Management Systems Data.
• Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complicated data sets.
• Design, develop, and maintain scalable and reliable data pipelines for optimal extraction, transformation, and loading of data from diverse sources using SQL, Python, and AWS big data technologies.
• Design and implement master data management frameworks, including data governance, data quality standards, deduplication, enrichment, and synchronization of master data entities such as Product Master, Vendor Master, Location Master, Item Master, and Bill of Materials.
• Enhance analytical maturity by incorporating predictive and prescriptive analytics using machine learning and optimization techniques where appropriate.
• Oversee and continually improve internal customer experience, production operations, including optimizing data delivery, redesigning infrastructure for greater scalability, managing code deployments, resolving bugs, and coordinating overall release management.
• Establish and maintain best practices for design, development, and support of data integration solutions, including comprehensive documentation.

Skills

Data engineering

SQL

Python

Tableau/QuickSight

ETL/ELT

Education

Bachelor's degree in BI/CS/Engineering/Statistics

Tools

AWS Redshift

S3

AWS Glue

EMR

Kinesis

Job description

Amazon Data Services, Inc. is seeking a Business Intelligence Engineer II to design, build, and maintain scalable data systems and dashboards that empower AWS leadership with timely insights into the supply chain and operations.

You will partner with product and engineering teams to deliver end-to-end data pipelines, apply advanced analytics, and ensure data governance across Product, Vendor, Location, Item, and BOM masters, contributing to scalable, cost-efficient decisions.