> Markdown version of [/jobs/ext/3778342-business-intelligence-engineer](https://www.wearedevelopers.com/jobs/ext/3778342-business-intelligence-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Business Intelligence Engineer - **Company:** Amazon.com, Inc. - **Location:** Leo, MN, United States - **Salary:** $99,500.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Databases, Extract Transform Load (ETL), Data Mining, Data Visualization, Data Warehousing, Amazon DynamoDB, R (Programming Language), Python (Programming Language), MATLAB, Meta-Data Management, NoSQL, Oracle (Applications), SAS (Software), SQL Databases, Tableau (Software), Data Processing, Scripting, Information Technology, Amazon Redshift - **Published:** October 16, 2026 - **Apply:** https://www.juju.com/job/1_amazon6-10574266 ## About the Role You can communicate complex analytical concepts clearly to non-technical stakeholders. The ideal candidate brings strong skills in business process understanding, data modeling, report development, complex SQL authoring, testing, troubleshooting, metadata management, and documentation. Basic Qualifications - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - 1+ years of SQL, ETL or Oracle experience - 1+ years of processing large, multi-dimensional datasets from multiple sources experience - 1+ years of performing statistical analysis experience - 1+ years of developing automated reporting experience - 3+ years of in the job offered or a related occupation experience - 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.