Business Intelligence Engineer Gen AI Advertising Finance Gen AI advertising Finance
Business Intelligence Engineer Gen AI Advertising Finance Gen AI advertising Finance
Posted on :
15-03-2025
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1 Vacancy
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Job Description
Amazon seeks a Business Intelligence Engineer to be a key partner for an exciting new initiativeDynamic Creative Optimization (DCO) powered by Gen AI technology within Amazons Advertising business. We are looking for a top analytical mind capable of understanding our complex ecosystem of Advertising Gen AI business.
As a key BI partner the role will have the opportunity to influence the longterm evolution of Ad Creative personalization by delivering insights that drive decisions and actions. This role requires an individual with excellent business communication and technical skills enabling collaboration with various functions including product managers tech software engineers economists scientists as well as senior leadership. The successful candidate will be a selfstarter comfortable with ambiguity with strong attention to detail and with an ability to work in a fastpaced highenergy and everchanging environment. The role will involve translating broad business problems into specific analytics projects conducting deep quantitative analyses and communicating results effectively. We see a high potential for growth in this role as we transform our data into actionable insights to continue to fuel the growth of this business.
This role promises to give exposure to Gen AI business and machine learning models design & analysis process. This BIE will be actively involved in building new metrics understanding impact of product changes and identifying opportunities for growth through exploratory analyses including use of lightweight statistical techniques.
Key job responsibilities
1. Metrics development through Weekly Business Reviews decks and performance monitoring reports (Quicksight Excel)
2. Deep Dive Analysis and data insights (SQL Python Statistics method)
3. Data pipelines and automation (ETL jobs Redshift S3 Athena Glue Cradle)
crossfunctionally with other teams in various job families to gather data sources to provide a comprehensive view of the business inclusive of advertiser experience shopper behavior weblab experiments etc.
and adopt best practices in reporting/analysis: data integrity test design analysis validation and documentation
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 largescale complex datasets
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
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 compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
As a key BI partner the role will have the opportunity to influence the longterm evolution of Ad Creative personalization by delivering insights that drive decisions and actions. This role requires an individual with excellent business communication and technical skills enabling collaboration with various functions including product managers tech software engineers economists scientists as well as senior leadership. The successful candidate will be a selfstarter comfortable with ambiguity with strong attention to detail and with an ability to work in a fastpaced highenergy and everchanging environment. The role will involve translating broad business problems into specific analytics projects conducting deep quantitative analyses and communicating results effectively. We see a high potential for growth in this role as we transform our data into actionable insights to continue to fuel the growth of this business.
This role promises to give exposure to Gen AI business and machine learning models design & analysis process. This BIE will be actively involved in building new metrics understanding impact of product changes and identifying opportunities for growth through exploratory analyses including use of lightweight statistical techniques.
Key job responsibilities
1. Metrics development through Weekly Business Reviews decks and performance monitoring reports (Quicksight Excel)
2. Deep Dive Analysis and data insights (SQL Python Statistics method)
3. Data pipelines and automation (ETL jobs Redshift S3 Athena Glue Cradle)
crossfunctionally with other teams in various job families to gather data sources to provide a comprehensive view of the business inclusive of advertiser experience shopper behavior weblab experiments etc.
and adopt best practices in reporting/analysis: data integrity test design analysis validation and documentation
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 largescale complex datasets
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
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 compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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