Business Intelligence Engineer Data Center Engineering
Business Intelligence Engineer Data Center Engineering
Posted on :
15-03-2025
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1 Vacancy
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Job Description
AWS Infrastructure Services owns the design planning delivery and operation of all AWS global infrastructure. In other words were the people who keep the cloud running. We support all AWS data centers and all of the servers storage networking power and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems with thousands of variables impacting the supply chain and were looking for talented people who want to help.
Youll join a diverse team of software hardware and network engineers supply chain specialists security experts operations managers and other vital roles. Youll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
The Maintenance & Tooling team works with the hundreds of AWS data centers around the globe to deliver the highest quality and lowest cost physical security availability capacity and scaling results for our customers. Our aim is to standardize operations globally by delivering tools policy metrics insights processes and procedures to our internal teams. The team is seeking a Business intelligence engineer to design develop and implement business critical metrics for our global engineering team. Our mission is to provide critical data to operators and engineers that enables them to make informed decisions for maintenance of data center facilities.
As a Business Intelligence Engineer you will partner with Data Engineers and cross functional teams to harness the vast amount of operational data from the AWS fleet and will use these data to generate insights that will guide engineering excellence and improvements on behalf AWS customers. In addition you will build mechanisms that enable Engineering divisions to make informed data driven business decisions. Data analysis is at the core Amazons culture and your work will have a direct impact on decision making and strategy for our organization.
Key job responsibilities
Lead the design implementation and delivery of BI solutions in complex ambiguous or poorly defined problem spaces.
Proactively work to improve the consistency and integration between the teams BI solutions and any related systems or artifacts (owned by other teams).
Influence the teams technical and business strategy by making insightful contributions to team priorities and lead in identifying and solving BI architecture deficiencies that limit the innovation.
Able to communicate your ideas effectively to achieve the right outcome for the team and customer and seek diverse perspectives listen to feedback and are willing to change direction if it creates a better outcome.
Lead design reviews for BI solutions or analyses for the team and actively participate in reviews for partner teams.
Actively participate in the hiring process as well as mentor others improving their skills their knowledge of your BI solutions and their ability to get things done.
Influence technical decisions made by partner teams via collaborative software effort or by driving BI engineering best practices (e.g. analytical rigor code quality data quality data modelling operational excellence automation visualization).
About the team
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
Inclusive Team Culture
AWS values curiosity and connection. Our employeeled and companysponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
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 in Statistical Analysis packages such as R SAS and Matlab
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
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.
Youll join a diverse team of software hardware and network engineers supply chain specialists security experts operations managers and other vital roles. Youll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
The Maintenance & Tooling team works with the hundreds of AWS data centers around the globe to deliver the highest quality and lowest cost physical security availability capacity and scaling results for our customers. Our aim is to standardize operations globally by delivering tools policy metrics insights processes and procedures to our internal teams. The team is seeking a Business intelligence engineer to design develop and implement business critical metrics for our global engineering team. Our mission is to provide critical data to operators and engineers that enables them to make informed decisions for maintenance of data center facilities.
As a Business Intelligence Engineer you will partner with Data Engineers and cross functional teams to harness the vast amount of operational data from the AWS fleet and will use these data to generate insights that will guide engineering excellence and improvements on behalf AWS customers. In addition you will build mechanisms that enable Engineering divisions to make informed data driven business decisions. Data analysis is at the core Amazons culture and your work will have a direct impact on decision making and strategy for our organization.
Key job responsibilities
Lead the design implementation and delivery of BI solutions in complex ambiguous or poorly defined problem spaces.
Proactively work to improve the consistency and integration between the teams BI solutions and any related systems or artifacts (owned by other teams).
Influence the teams technical and business strategy by making insightful contributions to team priorities and lead in identifying and solving BI architecture deficiencies that limit the innovation.
Able to communicate your ideas effectively to achieve the right outcome for the team and customer and seek diverse perspectives listen to feedback and are willing to change direction if it creates a better outcome.
Lead design reviews for BI solutions or analyses for the team and actively participate in reviews for partner teams.
Actively participate in the hiring process as well as mentor others improving their skills their knowledge of your BI solutions and their ability to get things done.
Influence technical decisions made by partner teams via collaborative software effort or by driving BI engineering best practices (e.g. analytical rigor code quality data quality data modelling operational excellence automation visualization).
About the team
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
Inclusive Team Culture
AWS values curiosity and connection. Our employeeled and companysponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
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 in Statistical Analysis packages such as R SAS and Matlab
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
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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