Business Intelligence Engineer, Amazon Advertising, Ads Finance
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Job Location:
New York City, NY - USA
Yearly Salary:
$ 89600 - 185000
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Unlock the Power of Data to Transform Advertising Insights
Were seeking a brilliant Business Intelligence Engineer to be the analytical powerhouse behind Amazon Advertisings strategic this pivotal role youll transform complex data into compelling stories that drive product innovation and business growth.
Key job responsibilities
- Develop comprehensive business intelligence solutions that translate complex data into strategic insights
- Design and implement robust data pipelines and visualization tools that drive business decisions
- Create secure scalable code that automates data processing and analysis
- Conduct advanced statistical analyses to uncover meaningful business trends
- Collaborate across teams to refine and evolve our data infrastructure and reporting mechanisms
A day in the life
Your day will be a dynamic blend of data exploration and strategic storytelling. Youll dive deep into massive datasets uncovering hidden patterns and translating intricate business challenges into clear actionable insights. From designing sophisticated data pipelines to creating compelling visualizations youll be the bridge between raw data and strategic decision-making.
About the team
Our Advertising Finance team is a collaborative powerhouse of innovators. We work closely with product managers engineers and leadership to shape the future of digital advertising. Our mission is to generate insights that not only measure performance but fundamentally transform how we understand and optimize advertising ecosystems.
- 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience applying basic statistical methods (e.g. regression) to difficult business problems
- 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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.
Were seeking a brilliant Business Intelligence Engineer to be the analytical powerhouse behind Amazon Advertisings strategic this pivotal role youll transform complex data into compelling stories that drive product innovation and business growth.
Key job responsibilities
- Develop comprehensive business intelligence solutions that translate complex data into strategic insights
- Design and implement robust data pipelines and visualization tools that drive business decisions
- Create secure scalable code that automates data processing and analysis
- Conduct advanced statistical analyses to uncover meaningful business trends
- Collaborate across teams to refine and evolve our data infrastructure and reporting mechanisms
A day in the life
Your day will be a dynamic blend of data exploration and strategic storytelling. Youll dive deep into massive datasets uncovering hidden patterns and translating intricate business challenges into clear actionable insights. From designing sophisticated data pipelines to creating compelling visualizations youll be the bridge between raw data and strategic decision-making.
About the team
Our Advertising Finance team is a collaborative powerhouse of innovators. We work closely with product managers engineers and leadership to shape the future of digital advertising. Our mission is to generate insights that not only measure performance but fundamentally transform how we understand and optimize advertising ecosystems.
- 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience applying basic statistical methods (e.g. regression) to difficult business problems
- 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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.
Key Skills
- Business Intelligence
- Cognos
- SQL
- Power BI
- QlikView
- Data Visualization
- ssrs
- Tableau
- SSIS
- Data Modeling
- Data Warehouse
- Data Analysis Skills
About Company
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