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# Business Intelligence Engineer, Ad Sales Finance Analytics

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, United States
- **Salary:** $99,500.0 - $185,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Databases, Extract Transform Load (ETL), Data Mining, Data Structures, 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, Amazon Redshift
- **Published:** June 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=13dcfbb2d0690da3

## About the Role

Do you have experience in Statistics?, * 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

 * 1+ years of SQL, ETL or Oracle experience
 * 4+ 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
 * 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

Amazon seeks a business intelligence engineer to be a key partner for the Amazon IX Advertising Sales business, with a range of products offerings for advertisers. We're looking for a top technical and analytical mind capable of extracting value out of our large and disparate data sets. You will influence the direction of the business by leveraging our data to deliver insights that drive decisions, evolution of our products and the way they fit into Amazon's ecosystem. Additionally, you'll help streamline and simplify the metric reporting needs for our operating cadences such as daily, weekly and monthly business reviews. Our ideal candidate is a self-starter, comfortable working through ambiguity, conceptualizing and leading complex initiatives from end to end, and has an entrepreneurial spirit. In addition to working with many stakeholders internally and externally, this role requires working through ambiguity, demonstrating good judgment under pressure and the ability to thrive in
a fast-paced, dynamic environment., Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions - Own the forecasting model for IX countries and enhance the existing model to align with sales calls while minimizing forecasting errors. - Make recommendations for new metrics, techniques, and strategies to improve team performance and measurement in the future - Define the data elements and data structure that our team should leverage to enable analytical and reporting capabilities for our business development team - Design and influence operational best practices for reporting and analytics to enable the team to scale - Prepare and deliver business reviews to the senior management team regarding progress and roadblocks - Work with engineering and the data warehouse to enable the appropriate capture and storage of key data points - Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a
digestible and actionable format - Participate in strategic & tactical planning discussions

A day in the life
Your day will be a dynamic blend of data exploration, strategic problem-solving, and cross-functional collaboration. You'll dive deep into complex data landscapes, crafting visualizations and models that reveal hidden patterns and opportunities for Amazon's advertising platforms.


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