Business Intelligence Engineer II, RBS Tech, CAM
Business Intelligence Engineer II, RBS Tech, CAM
Posted on :
14-08-2025
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1 Vacancy
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Job Description
Retail Business Services (RBS) supports Amazons Retail business growth WW through three core tasks. These are (a) Selection where RBS sources creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams.
Our team of high caliber software developers applied scientists data engineers product managers and Business Intelligence Engineers use rigorous ML and deep learning approaches to ensure that we identify & fix the right catalog defect to ensure the good shopping experience for our customers.
We are looking for a customer-obsessed Business Intel Engineer that thrives in a culture of data-driven decision making who will be responsible to help us hold a high bar for RBS Data Engineering Team
This individual will be responsible for driving/creating:
Experience working with large multi-dimensional datasets from multiple sources
Make recommendations for new metrics techniques and strategies to improve the operational and quality metrics.
Proficient using at least one data visualisation product (Tableau Qlik Amazon QuickSight Power BI etc.)
Experience in deployment of Machine Learning and Statistical models
Building new Python utilities and maintaining existing ones
Enabling more efficient adhoc queries & analysis
Working closely with research scientists business analysts and product leads to scale data
Ensuring consistency between various platform operational and analytic data sources to enable faster and more efficient detection and resolution of issues
Exploring and learn the latest AWS technologies to provide new capabilities and increase efficiencies
Mentoring the team on analytics best practices
About the team
Retail Business Services (RBS) supports Amazons Retail business growth WW through three core tasks. These are (a) Selection where RBS sources creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills.
- 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
- 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
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our team of high caliber software developers applied scientists data engineers product managers and Business Intelligence Engineers use rigorous ML and deep learning approaches to ensure that we identify & fix the right catalog defect to ensure the good shopping experience for our customers.
We are looking for a customer-obsessed Business Intel Engineer that thrives in a culture of data-driven decision making who will be responsible to help us hold a high bar for RBS Data Engineering Team
This individual will be responsible for driving/creating:
Experience working with large multi-dimensional datasets from multiple sources
Make recommendations for new metrics techniques and strategies to improve the operational and quality metrics.
Proficient using at least one data visualisation product (Tableau Qlik Amazon QuickSight Power BI etc.)
Experience in deployment of Machine Learning and Statistical models
Building new Python utilities and maintaining existing ones
Enabling more efficient adhoc queries & analysis
Working closely with research scientists business analysts and product leads to scale data
Ensuring consistency between various platform operational and analytic data sources to enable faster and more efficient detection and resolution of issues
Exploring and learn the latest AWS technologies to provide new capabilities and increase efficiencies
Mentoring the team on analytics best practices
About the team
Retail Business Services (RBS) supports Amazons Retail business growth WW through three core tasks. These are (a) Selection where RBS sources creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills.
- 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
- 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
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Key Skills
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