Business Intelligence Engineer, Amazon Ads Sales Finance Analytics
Business Intelligence Engineer, Amazon Ads Sales Finance Analytics
Posted on :
02-06-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 74100 - 165600
Vacancy
1 Vacancy
Posted on :
02-06-2025
Job Description
Amazon seeks a business intelligence engineer to be a key partner for the Amazon Advertising business specifically the Global LCS Ads Account Management (AM) organization with a range of products offerings for advertisers. Were looking for a top technical and analytical mind capable of extracting value out of our large and disparate data sets. You will influence the direction of the business by leveraging our data to deliver insights that drive decisions evolution of our products and the way they fit into Amazons ecosystem. Additionally youll help streamline and simplify the metric reporting needs for our operating cadences such as daily weekly and monthly business reviews.
Our ideal candidate is a self-starter comfortable working through ambiguity conceptualizing and leading complex initiatives from end to end and has an entrepreneurial spirit. In addition to working with many stakeholders internally and externally this role requires working through ambiguity demonstrating good judgment under pressure and the ability to thrive in a fast-paced dynamic environment.
Key job responsibilities
Build small- to mid-size business intelligence (BI) solutions data sets queries reports dashboards analyses or components of larger solutions to answer business questions with data
Use well-defined requirements to build a solution that enables effective data-driven business decisions. Deliver end product on schedule
Create and populate data structures using one or more schema definition languages (e.g. DDL SDL XSD RDF)
Write secure stable testable and maintainable code with minimal defects and automate manual processes where possible
Use one or more industry analytics visualization tools (e.g. Excel Tableau QuickSight MicroStrategy PowerBI) and as needed statistical methods (e.g. t-test Chi-squared) to deliver actionable insights to stakeholders
Invent refine and develop BI solutions to ensure they meet the needs of the business and team goals
Troubleshoot data analyses and code research root causes propose solutions and take ownership in next steps for their resolutions
A day in the life
Successful business intelligence engineers for this role are excited by the idea of creating new products features and services from scratch while managing ambiguity and the pace of a company whose ship cycles are measured in weeks not years. Daily activities include: (1) Collaboration with business and finance stakeholders on methods for solving relevant business problems (2) gathering project requirements (3) developing tools utilizing proper testing methods (4) partnering with upstream data teams to assess project impact and (5) contributing to a forward-looking project roadmap on managed tools.
About the team
Tools owned by the Amazon Ads Sales Finance Analytics team provide stakeholders the ability to: (1) inquire and iterate on metrics related to Global LCS Ads Account Management (AM) contributions to delivered Ads revenue (2) measure progress toward strategic AM goals such as account pitch coverage and opportunity win-rate and (3) monitor key performance indicators for sales conversations with advertisers. We also own the Global LCS AM Business Review that identifies broad trends across the entire AM organization while highlighting the key initiatives driving input volume for our regional teams.
- 2 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel Tableau QuickSight MicroStrategy PowerBI) and statistical methods (e.g. t-test Chi-squared)
- Masters degree or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis co-relation analysis
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 $74100/year in our lowest geographic market up to $165600/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.
Our ideal candidate is a self-starter comfortable working through ambiguity conceptualizing and leading complex initiatives from end to end and has an entrepreneurial spirit. In addition to working with many stakeholders internally and externally this role requires working through ambiguity demonstrating good judgment under pressure and the ability to thrive in a fast-paced dynamic environment.
Key job responsibilities
Build small- to mid-size business intelligence (BI) solutions data sets queries reports dashboards analyses or components of larger solutions to answer business questions with data
Use well-defined requirements to build a solution that enables effective data-driven business decisions. Deliver end product on schedule
Create and populate data structures using one or more schema definition languages (e.g. DDL SDL XSD RDF)
Write secure stable testable and maintainable code with minimal defects and automate manual processes where possible
Use one or more industry analytics visualization tools (e.g. Excel Tableau QuickSight MicroStrategy PowerBI) and as needed statistical methods (e.g. t-test Chi-squared) to deliver actionable insights to stakeholders
Invent refine and develop BI solutions to ensure they meet the needs of the business and team goals
Troubleshoot data analyses and code research root causes propose solutions and take ownership in next steps for their resolutions
A day in the life
Successful business intelligence engineers for this role are excited by the idea of creating new products features and services from scratch while managing ambiguity and the pace of a company whose ship cycles are measured in weeks not years. Daily activities include: (1) Collaboration with business and finance stakeholders on methods for solving relevant business problems (2) gathering project requirements (3) developing tools utilizing proper testing methods (4) partnering with upstream data teams to assess project impact and (5) contributing to a forward-looking project roadmap on managed tools.
About the team
Tools owned by the Amazon Ads Sales Finance Analytics team provide stakeholders the ability to: (1) inquire and iterate on metrics related to Global LCS Ads Account Management (AM) contributions to delivered Ads revenue (2) measure progress toward strategic AM goals such as account pitch coverage and opportunity win-rate and (3) monitor key performance indicators for sales conversations with advertisers. We also own the Global LCS AM Business Review that identifies broad trends across the entire AM organization while highlighting the key initiatives driving input volume for our regional teams.
- 2 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel Tableau QuickSight MicroStrategy PowerBI) and statistical methods (e.g. t-test Chi-squared)
- Masters degree or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis co-relation analysis
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 $74100/year in our lowest geographic market up to $165600/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.
Employment Type
Full-Time
Key Skills
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