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# Business Intelligence Engineer - AWS, AWS DC Construction

- **Company:** Amazon.com, Inc.
- **Location:** Austin, TX, United States
- **Salary:** $99,500.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Big Data, Databases, Extract Transform Load (ETL), Data Mining, Data Visualization, Data Warehousing, Amazon DynamoDB, R (Programming Language), Python (Programming Language), MATLAB, NoSQL, Oracle (Applications), SAS (Software), SQL Databases, Tableau (Software), Data Processing, Scripting, Information Technology, Amazon Redshift
- **Published:** October 16, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/28111957/Business-Intelligence-Engineer-Aws-Aws-Dc-Construction-Texas-Austin-7375

## About the Role

The ideal candidate must be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail), and enjoy working in a fast-paced, dynamic environment. If you are excited about data, are results-oriented, and want to join a growing analytics team within Amazon - this role is for you!, 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

## Description

Set the baseline. Partner with business customers and leadership to define, track, and report KPIs against annual, quarterly, and monthly goals.
Turn needs into solutions. Gather requirements and deliver complete reporting solutions.
Build at scale. Design, develop, and maintain automated, user-friendly reports and dashboards that support procurement planning and decision-making.
Move the data. Build and optimize ETL pipelines that pull data from diverse sources using SQL, Python, and AWS big data technologies.
Tell the story. Publish and maintain QuickSight dashboards, reports, and executive review documents that reveal trends, patterns, and outliers.
Spot what others miss. Uncover patterns in the data and connect them to business outcomes.
Measure what matters. Invent new ways to define and measure program effectiveness and organizational productivity.
Bridge business and tech. Act as the link between business and technical teams, delivering actionable insights and ad hoc analyses that fuel future improvements.
Protect data quality. Run regular audits to keep reporting complete and accurate, and automate manual reporting wherever you can.
Think ahead. Grow the team's analytical maturity through predictive and prescriptive analytics.