Business Intelligence Engineer, Sourcing Performance Operations

Business Intelligence Engineer, Sourcing Performance Operations

Have you ever ordered a product on Amazon and wondered how that box with the smile arrived so fast, where it came from, and how much it cost Amazon? If so, the Amazon Global Supply Chain Optimization Technologies organization is for you. Watch this video to learn more about our organization, SCOT: http://bit.ly/amazon-scot.

Strategic Sourcing Systems (OSS) at Amazon is seeking a Business Intelligence Engineer (BIE) to join our team. As a BIE in this role, you will be a key contributor to enhancing the inbound efficiency and accurate predictions of our supply chain sourcing inbound operations through business intelligence. Your current focus will be on improving overall visibility that Amazon has into incoming inbound freight by improving signal quality and aggregation. This allows us to orchestrate inbound freight through the supply chain and improve overall inbound lead times. You will collaborate with cross‑functional teams to drive data‑driven insights that optimize inbound signals, scheduling, and overall supply chain performance.

Key Job Responsibilities

• Design, develop, and maintain complex data models and ETL pipelines to support sourcing analytics.

• Create and optimize SQL queries for large‑scale data analysis.

• Build interactive dashboards and visualizations.

• Partner with business stakeholders to understand requirements and translate them into technical solutions.

• Implement data quality controls and monitoring systems.

• Develop automated reporting solutions and self‑service analytics capabilities.

• Collaborate with data engineering teams to optimize data architecture and performance.

About the team

The Optimal Sourcing Systems (OSS) team at Amazon is at the forefront of revolutionizing global supply chain management. We develop and implement cutting‑edge algorithmic solutions and data platforms that drive Amazon's sourcing decisions worldwide. Our mission is to optimize the entire procurement process, from vendor selection to inventory placement, ensuring the most efficient and cost‑effective supply chain operations. We tackle complex challenges that directly impact Amazon's bottom line and customer satisfaction by leveraging advanced analytics, machine learning, and big data technologies to make data‑driven decisions that optimize costs, improve delivery times, and enhance product availability across millions of items.

Basic Qualifications

• Bachelor's degree.

• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. experience.

• Experience with data visualization using Tableau, Quicksight, or similar tools.

• Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t‑test, Chi‑squared).

Preferred Qualifications

• Bachelor's degree or above in Statistics, Computer Science, Computer Engineering, Information Management/Systems, Business Analytics, or related discipline.

• Knowledge of data modeling and data pipeline design.

• Experience with statistical analysis and correlation analysis.

• Experience with scripting languages (e.g., Python, Java, or R).

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.

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