Business Intelligence Engineer Advertising Finance
Business Intelligence Engineer Advertising Finance
Posted on :
13-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 89600 - 185000
Vacancy
1 Vacancy
Posted on :
13-04-2025
Job Description
Amazon seeks a Senior Business Intelligence Engineer with strong technical analytical and business intelligence skill sets and experience to be a key partner for Amazons Advertising business focusing on Amazon Business Ads.
This role will be the key contributor supporting the Amazon Business Ads (AB Ads) team. The person will build out the business insights analysis practice and data infrastructure for AB Ads stakeholders gaining visibility across Ads Retail and Finance organizations. We generate insights to guide product and partner strategy (including Sales and Demand Generation) and we provide direct business strategy support to senior leaders. We are motivated to improve ads experience for both AB advertisers and AB shoppers.
As a key analytics partner the Senior Business Intelligence Engineer will influence the direction of the business by leveraging our data to deliver insights that drive decisions and actions. This role involves 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. The role will help the organization identify evaluate and evangelize new techniques and tools to continue to improve our ability to deliver value to Amazons Customers.
This role requires an individual with excellent business communication and technical skills enabling collaboration with various functions including Product Managers Data Engineers Finance Managers Software Engineers Data Scientists as well as senior leadership. The successful candidate will be a selfstarter thriving in ambiguity and challenges; competent in handling complex and large datasets and open business problems. The person has strong ownership and an ability to work in a fastpaced everchanging and highenergy environment.
Key job responsibilities
Support new initiatives and provide data ownership endtoend with business stakeholders; drive continued growth through data insights
Review existing data challenges to deliver a comprehensive solution with appropriate data strategy and tools
Design develop build and maintain scalable data solutions including infrastructure pipeline reporting to support longterm business strategies
Simplify and reinvent current data solutions to support the business scope expansion
Translate business problems into data questions find solutions to solve those questions with resourcefulness
Identify areas of opportunities and present analytical findings and recommendations to business leadership
Work crossfunctionally with other teams in various job families to gather data sources to provide a comprehensive view of the business inclusive of supply demand sales operations shopper etc.
Recognize and adopt best practices in reporting/analysis: data integrity test design analysis validation and documentation
This role promises to give exposure to a high growth business. This BIE will be actively involved in reinventing data solutions building new metrics understanding impact of product changes and identifying opportunities for growth through exploratory analyses.
About the team
The APM Advertising Finance team supports various publishers including Stores Amazon Business Books Grocery/Physical Store Devices Video Audio. Our focus is to accelerate topline revenue and improve profitability by evaluating overall ad supply monetization and utilization product feature or sales package adoption campaign performance and other various product drivers of growth.
3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
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 in Statistical Analysis packages such as R SAS and Matlab
Experience with data visualization using Tableau Quicksight or similar tools
Knowledge of SQL and data warehousing concepts
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 developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Experience in understanding and translating ambiguous and complex business problems into data solutions and presenting findings to the leadership
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.
This role will be the key contributor supporting the Amazon Business Ads (AB Ads) team. The person will build out the business insights analysis practice and data infrastructure for AB Ads stakeholders gaining visibility across Ads Retail and Finance organizations. We generate insights to guide product and partner strategy (including Sales and Demand Generation) and we provide direct business strategy support to senior leaders. We are motivated to improve ads experience for both AB advertisers and AB shoppers.
As a key analytics partner the Senior Business Intelligence Engineer will influence the direction of the business by leveraging our data to deliver insights that drive decisions and actions. This role involves 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. The role will help the organization identify evaluate and evangelize new techniques and tools to continue to improve our ability to deliver value to Amazons Customers.
This role requires an individual with excellent business communication and technical skills enabling collaboration with various functions including Product Managers Data Engineers Finance Managers Software Engineers Data Scientists as well as senior leadership. The successful candidate will be a selfstarter thriving in ambiguity and challenges; competent in handling complex and large datasets and open business problems. The person has strong ownership and an ability to work in a fastpaced everchanging and highenergy environment.
Key job responsibilities
Support new initiatives and provide data ownership endtoend with business stakeholders; drive continued growth through data insights
Review existing data challenges to deliver a comprehensive solution with appropriate data strategy and tools
Design develop build and maintain scalable data solutions including infrastructure pipeline reporting to support longterm business strategies
Simplify and reinvent current data solutions to support the business scope expansion
Translate business problems into data questions find solutions to solve those questions with resourcefulness
Identify areas of opportunities and present analytical findings and recommendations to business leadership
Work crossfunctionally with other teams in various job families to gather data sources to provide a comprehensive view of the business inclusive of supply demand sales operations shopper etc.
Recognize and adopt best practices in reporting/analysis: data integrity test design analysis validation and documentation
This role promises to give exposure to a high growth business. This BIE will be actively involved in reinventing data solutions building new metrics understanding impact of product changes and identifying opportunities for growth through exploratory analyses.
About the team
The APM Advertising Finance team supports various publishers including Stores Amazon Business Books Grocery/Physical Store Devices Video Audio. Our focus is to accelerate topline revenue and improve profitability by evaluating overall ad supply monetization and utilization product feature or sales package adoption campaign performance and other various product drivers of growth.
3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
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 in Statistical Analysis packages such as R SAS and Matlab
Experience with data visualization using Tableau Quicksight or similar tools
Knowledge of SQL and data warehousing concepts
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 developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Experience in understanding and translating ambiguous and complex business problems into data solutions and presenting findings to the leadership
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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