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# Business Intelligence Engineer, Core Shopping Data Science

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Experienced
- **Salary:** $99,500.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, 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, NoSQL, Oracle (Applications), SAS (Software), SQL Databases, Tableau (Software), Data Processing, Scripting, Large Language Models, Data Analytics, Data Pipelines, Amazon Redshift
- **Published:** September 26, 2026
- **Apply:** https://www.careerjet.com/job/us98b6acb31f95738fc3008d514d956b36/eaa

## About the Role

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

 - 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
 - Building metrics using LLMs as a judge
 - Building reusable AI based tools for measurement, deep dive and operations
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

You will be building and improving metrics that measure the quality of Amazon's core shopping page leveraging LLMs. This includes working backwards from customer pain points, managing large and complex data pipelines manipulating terabytes of data a day. Your metrics and dashboards will be used by multiple teams and senior leaders and you will be providing insights into opportunities to improve the customer experience and our signals and systems. The metrics and underlying pipelines are used daily for decision making, setting up experiments, defining goals and influencing senior leaders to set priorities.
About the team
The mission of the Core Shopping Data Science team is to provide the data-driven foundation for building a world-class shopping experience that maximizes long-term free cash flow by delighting customers. We focus on the long term and big picture to ensure that the full Amazon shopping experience balances strategic trade-offs. We believe data science is the discipline of making smart decisions and we empower feature owners and systems by 1) developing and vending metrics which assess and value customer engagement, 2) building tools and datasets to inject data into the decision-making process, and 3) delivering deep analyses to inform high-touch decisions.


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