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# Business Intel Engineer I, Customer Delivery Excellence, Transportation Execution

- **Company:** Amazon.com, Inc.
- **Location:** Bellevue, WA, United States
- **Experience:** Experienced
- **Salary:** $82,300.0 - $144,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Microsoft Excel, Data Analysis, Big Data, Data Architecture, Data Integration, Extract Transform Load (ETL), Data Visualization, Python (Programming Language), MicroStrategy, NoSQL, Oracle (Applications), Power BI, SQL Databases, Tableau (Software), Scripting, Apache Spark, Electronic Medical Records, Data Pipelines, Amazon Redshift
- **Published:** September 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=16d07d4f2fbb85da

## About the Role

* 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)
 * Experience with scripting language (e.g., Python, Java, or R), * Master's degree, or Advanced technical degree
 * Knowledge of data modeling and data pipeline design
 * Experience with statistical analysis, co-relation analysis

## Description

The North America Customer Delivery Excellence (CDE) team within Amazon Global Delivery Services is seeking a Business Intel Engineer to join our team in Seattle. You will be building world class big data applications to support Amazon transportation and business operations.

Key job responsibilities
Key job responsibilities
As a Business Intelligence Engineer on the CDE team, you will be responsible for:

Building robust and scalable data integration (ETL) pipelines using SQL, EMR, Python and Spark.
Build and deliver high quality data architecture to support business intelligence engineer and program managers' reporting needs.
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.
Drive both business and technology solutions to improve Amazon Inbound visibility.
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
Translate data into actionable insights for the stakeholders.


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