Business Intelligence Engineer, Ads Traffic Quality, Amazon Advertising
Business Intelligence Engineer, Ads Traffic Quality, Amazon Advertising
Posted on :
23-05-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Advertising at Amazon is a fastgrowing multibillion dollar business. It spans desktop mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of thirdparty publishers; and extends across the US EU APAC and an increasing number of international geographies.
The Supply Quality (SQ) group operates across all Amazon Advertising products to provide invalid traffic (IVT) filtration viewability prediction and measurement and content adjacency policy enforcement capabilities. Within SQ Traffic Quality (TQ) concerns itself with the validity of ad traffic i.e. if the ad event (bid impression or click) is generated from a human user or bot (invalid) and the TQ Analytics team focuses on building key metrics and reporting root cause analysis and critical stakeholder communications on changing trends and patterns for this area. The TQ Analytics team also focuses on building heuristic based models and techniques to address IVT and ad fraud.
As a Business Intelligence Engineer (BIE) for TQ Analytics you will play a thought leadership role in defining interventions that help achieve business objectives. You are right a lot. You are independent able to work on multiple related projects and always on the lookout to optimize the information flow process. You will collaborate with Scientists and Engineers to analyze trends and analyse statistical models that detect and filter IVT.
Key job responsibilities
* Design implement and support a scalable and reliable information model for storing processing analyzing and reporting on data across Amazon properties and partners.
* Define and implement data quality guardrails and monitoring mechanisms as the custodian of data quality
* Compose and present measurable and actionable insights into complex business problems to senior leadership.
* Automate with every iteration to enable self service by others on the team and to continuously expand on your ability to dive deep.
* Perform exploratory data analysis and apply statistical techniques to help Scientists build models that detect and filter IVT.
* Define and implement metrics that continuously evaluate models.
* Understand a broad range of Amazons data resources and know how when and which to use and which not to use.
The role has a significant analytical requirements with potential to apply statistical and ML techniques.
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
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.
The Supply Quality (SQ) group operates across all Amazon Advertising products to provide invalid traffic (IVT) filtration viewability prediction and measurement and content adjacency policy enforcement capabilities. Within SQ Traffic Quality (TQ) concerns itself with the validity of ad traffic i.e. if the ad event (bid impression or click) is generated from a human user or bot (invalid) and the TQ Analytics team focuses on building key metrics and reporting root cause analysis and critical stakeholder communications on changing trends and patterns for this area. The TQ Analytics team also focuses on building heuristic based models and techniques to address IVT and ad fraud.
As a Business Intelligence Engineer (BIE) for TQ Analytics you will play a thought leadership role in defining interventions that help achieve business objectives. You are right a lot. You are independent able to work on multiple related projects and always on the lookout to optimize the information flow process. You will collaborate with Scientists and Engineers to analyze trends and analyse statistical models that detect and filter IVT.
Key job responsibilities
* Design implement and support a scalable and reliable information model for storing processing analyzing and reporting on data across Amazon properties and partners.
* Define and implement data quality guardrails and monitoring mechanisms as the custodian of data quality
* Compose and present measurable and actionable insights into complex business problems to senior leadership.
* Automate with every iteration to enable self service by others on the team and to continuously expand on your ability to dive deep.
* Perform exploratory data analysis and apply statistical techniques to help Scientists build models that detect and filter IVT.
* Define and implement metrics that continuously evaluate models.
* Understand a broad range of Amazons data resources and know how when and which to use and which not to use.
The role has a significant analytical requirements with potential to apply statistical and ML techniques.
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
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
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
