Business Intelligence Engineer Ad Sales Finance Analytics
Business Intelligence Engineer Ad Sales Finance Analytics
Posted on :
23-04-2025
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
Amazon seeks a business intelligence engineer to be a key partner for the Amazon Advertising Finance business 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 selfstarter 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 fastpaced dynamic environment.
Key job responsibilities
Own the design development and maintenance of ongoing metrics reports analyses dashboards etc. to drive key business decisions
Make recommendations for new metrics techniques and strategies to improve team performance and measurement in the future
Define the data elements and data structure that our team should leverage to enable analytical and reporting capabilities for our business development team
Design and influence operational best practices for reporting and analytics to enable the team to scale
Prepare and deliver business reviews to the senior management team regarding progress and roadblocks
Work with engineering and the data warehouse to enable the appropriate capture and storage of key data points
Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
Participate in strategic & tactical planning discussions
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 writing complex SQL queries
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
Experience in Statistical Analysis packages such as R SAS and Matlab
Experience with forecasting and statistical analysis
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.
Our ideal candidate is a selfstarter 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 fastpaced dynamic environment.
Key job responsibilities
Own the design development and maintenance of ongoing metrics reports analyses dashboards etc. to drive key business decisions
Make recommendations for new metrics techniques and strategies to improve team performance and measurement in the future
Define the data elements and data structure that our team should leverage to enable analytical and reporting capabilities for our business development team
Design and influence operational best practices for reporting and analytics to enable the team to scale
Prepare and deliver business reviews to the senior management team regarding progress and roadblocks
Work with engineering and the data warehouse to enable the appropriate capture and storage of key data points
Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
Participate in strategic & tactical planning discussions
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 writing complex SQL queries
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
Experience in Statistical Analysis packages such as R SAS and Matlab
Experience with forecasting and statistical analysis
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
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.
