Business Intelligence Engineer, SLX Analytics (Sr Leader Experience)
Business Intelligence Engineer, SLX Analytics (Sr Leader Experience)
Posted on :
06-05-2025
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1 Vacancy
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Job Description
The Amazon Leadership Experiences (ALX) is centrally responsible for creating and evolving Amazons talent programs and processes. The SLX Analytics team is a team of Business Intelligence Engineers and Data Engineers with a direct impact on 400000 Amazonians across all of our businesses and locations around the world. We use employee data to drive the right conversations with STeam leaders and other executives about how to improve existing talent programs and explore new and developing questions that shape our talent landscape.
The SLX Analytics team is looking for experienced BI engineer to support the endtoend business intelligence for new and evolving talent products proprietary to Amazon. In this role you will work directly with customers leaders and program owners influencing opportunity identification product design data capture reporting/measurement and evaluation strategies. You will use existing data/research to identify new challenges and opportunities as well as data collected through methods you create/define. You will leverage your subject matter expertise and strong written/verbal communications skills to develop reproducible research/analyses shared with PXT analysts embedded across Amazons diverse set of businesses. As the endtoend analyst for the product you will also build proofofconcept reporting tools while scaling ad hoc data access enabling the product team selfserve and make informed decisions in a fastpaced ambiguous business environment.
Key job responsibilities
Align with leaders and customers to translate business issues into testable hypotheses answerable with data.
Develop and execute analyses to drive talent insights.
Create data capture and measurement strategies that drive business action.
Drive a roadmap from descriptive to predictive analytics moving routine tasks to selfservice for your client group.
Work closely with peers and stakeholders to access pull transform and analyze data from a variety of PXT sources.
Gather new data and/or creatively use existing data to propose metrics and present them in compelling but easily understood way to a nonstatistical audience.
Apply statistical tests to data including (but not limited to) ttests chisquare and regression.
Compile results in a concise meaningful and actionable format and share findings to senior leadership.
Build processes to scale fast and accurate ondemand and ad hoc data/analytical requests for leadership and key stakeholders.
A day in the life
As an Amazon Business Intelligence Engineer you will solve unique and complex problems at a rapid pace utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences youll be creating for our customers.
Come build the future as a Senior Business Intelligence Engineer at Amazon where you will be inspired working along bestinclass inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the everevolving needs of our customers and your work will impact millions of people around the world.
About the team
Work/Life Balance
Our team puts a high value on worklife balance. It isnt about how many hours you spend at home or at work; its about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to lifelong happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a betterrounded contributor.
Inclusive Team Culture
Here at Amazon we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employeeled affinity groups reaching 40000 employees in over 190 chapters globally. We have innovative benefit offerings and host annual and ongoing learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazons culture of inclusion is reinforced within our 14 Leadership Principles which remind team members to seek diverse perspectives learn and be curious and earn trust.
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
Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
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
Strong verbal/written communication & data presentation skills including an ability to effectively develop and communicate clear thoughtful and comprehensive analyses.
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 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.
The SLX Analytics team is looking for experienced BI engineer to support the endtoend business intelligence for new and evolving talent products proprietary to Amazon. In this role you will work directly with customers leaders and program owners influencing opportunity identification product design data capture reporting/measurement and evaluation strategies. You will use existing data/research to identify new challenges and opportunities as well as data collected through methods you create/define. You will leverage your subject matter expertise and strong written/verbal communications skills to develop reproducible research/analyses shared with PXT analysts embedded across Amazons diverse set of businesses. As the endtoend analyst for the product you will also build proofofconcept reporting tools while scaling ad hoc data access enabling the product team selfserve and make informed decisions in a fastpaced ambiguous business environment.
Key job responsibilities
Align with leaders and customers to translate business issues into testable hypotheses answerable with data.
Develop and execute analyses to drive talent insights.
Create data capture and measurement strategies that drive business action.
Drive a roadmap from descriptive to predictive analytics moving routine tasks to selfservice for your client group.
Work closely with peers and stakeholders to access pull transform and analyze data from a variety of PXT sources.
Gather new data and/or creatively use existing data to propose metrics and present them in compelling but easily understood way to a nonstatistical audience.
Apply statistical tests to data including (but not limited to) ttests chisquare and regression.
Compile results in a concise meaningful and actionable format and share findings to senior leadership.
Build processes to scale fast and accurate ondemand and ad hoc data/analytical requests for leadership and key stakeholders.
A day in the life
As an Amazon Business Intelligence Engineer you will solve unique and complex problems at a rapid pace utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences youll be creating for our customers.
Come build the future as a Senior Business Intelligence Engineer at Amazon where you will be inspired working along bestinclass inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the everevolving needs of our customers and your work will impact millions of people around the world.
About the team
Work/Life Balance
Our team puts a high value on worklife balance. It isnt about how many hours you spend at home or at work; its about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to lifelong happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a betterrounded contributor.
Inclusive Team Culture
Here at Amazon we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employeeled affinity groups reaching 40000 employees in over 190 chapters globally. We have innovative benefit offerings and host annual and ongoing learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazons culture of inclusion is reinforced within our 14 Leadership Principles which remind team members to seek diverse perspectives learn and be curious and earn trust.
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
Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
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
Strong verbal/written communication & data presentation skills including an ability to effectively develop and communicate clear thoughtful and comprehensive analyses.
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 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.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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