Business Intelligence Engineer eCS Data Engineering and Analytics
Business Intelligence Engineer eCS Data Engineering and Analytics
Posted on :
07-04-2025
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1 Vacancy
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Job Description
Are you interested in diving deep into the data and engineering the metrics model that drives continuous improvement for Amazons eCommerce systems Do you have solid problemsolving abilities metricsdriven decision making and want to solve problems with solutions that will meet the growing worldwide need for Amazons products Then eCommerce Services is the team for you. We are part of building the worlds best most reliable and most featurerich eCommerce platform that provides customers the best experience possible and are looking for a topnotch Senior Business Intelligence Engineer.
In eCommerce Services (eCS) we build systems that span the full range of eCommerce functionality from Privacy Identity Purchase Experience and Ordering to Shipping Tax and Financial integration. eCommerce Services manages several aspects of the customer life cycle starting from account creation and sign in to placing items in the shopping cart proceeding through checkout order processing managing order history and postfulfillment actions such as refunds and tax invoices. eCS services determine sales tax and shipping charges and we ensure the privacy of our customers. Our mission is to provide a commerce foundation that accelerates business innovation and delivers a secure available performant and reliable shopping experience to Amazons customers.
We are looking for an experienced and technically skilled individual to join our Data Engineering and Analytics team as a Business Intelligence Engineer (BIE). The ideal candidate will be an analytical resultsoriented selfmotivated and customerfocused Business Intelligence Engineer who will play a key role in continuous improvement for the critical systems that enable our entire retail business. The role will also include surfacing key product metrics as well as building critical data pipelines and analytics tools to improve efficiency and quality of strategic business decisions.
Key job responsibilities
Defining developing and maintaining critical business and operational metrics reviewed on a weekly monthly quarterly and annual basis.
Analysis of historical data to identify trends and support decision making including written and verbal presentation of results and recommendations.
Collaborating with software development teams to implement analytics systems and data structures to support largescale data analysis and delivery of reports.
Identifying data needs and driving data quality improvement projects.
Thought leadership on data mining and analysis. Understanding the broad range of Amazons data resources which to use how and when. Mining and manipulating data from database tables simulation results and log files.
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
Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
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 largescale 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.
In eCommerce Services (eCS) we build systems that span the full range of eCommerce functionality from Privacy Identity Purchase Experience and Ordering to Shipping Tax and Financial integration. eCommerce Services manages several aspects of the customer life cycle starting from account creation and sign in to placing items in the shopping cart proceeding through checkout order processing managing order history and postfulfillment actions such as refunds and tax invoices. eCS services determine sales tax and shipping charges and we ensure the privacy of our customers. Our mission is to provide a commerce foundation that accelerates business innovation and delivers a secure available performant and reliable shopping experience to Amazons customers.
We are looking for an experienced and technically skilled individual to join our Data Engineering and Analytics team as a Business Intelligence Engineer (BIE). The ideal candidate will be an analytical resultsoriented selfmotivated and customerfocused Business Intelligence Engineer who will play a key role in continuous improvement for the critical systems that enable our entire retail business. The role will also include surfacing key product metrics as well as building critical data pipelines and analytics tools to improve efficiency and quality of strategic business decisions.
Key job responsibilities
Defining developing and maintaining critical business and operational metrics reviewed on a weekly monthly quarterly and annual basis.
Analysis of historical data to identify trends and support decision making including written and verbal presentation of results and recommendations.
Collaborating with software development teams to implement analytics systems and data structures to support largescale data analysis and delivery of reports.
Identifying data needs and driving data quality improvement projects.
Thought leadership on data mining and analysis. Understanding the broad range of Amazons data resources which to use how and when. Mining and manipulating data from database tables simulation results and log files.
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
Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
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 largescale 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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