Business Intelligence Engineer II, AWS Analytics and Data Solutions (ADS)
Business Intelligence Engineer II, AWS Analytics and Data Solutions (ADS)
Posted on :
20-05-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 89600 - 185000
Vacancy
1 Vacancy
Posted on :
20-05-2025
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.
Do you want to be an integral part of the worlds transition to the cloud The AWS Analytics and Data Solutions (ADS) team is seeking for a Business Intelligence Engineer (BIE) with a combination of superior analytical abilities business acumen business judgement curiosity technical skills and written and verbal communication skills to join our team.
Datadriven decisionmaking is at the core of Amazons culture and people who are exceptionally talented at analyzing large sets of data to build insights are critical. Your work will directly impact the decisions and strategy of the entire AWS Infrastructure Services org and our customers. You will be gathering customer needs and insights mining large and diverse data sets from across AWS Infrastructure building visualizations and tools for our business partners generating insights to help senior leaders make critical business decisions. Hence the successful BIE will not only possess the expertise and passion for analyzing data designing metrics to measure the performance of the business and building reporting capabilities and tools but also will interact directly with business leaders and teams that rely on the metrics and analyses that they produce.
The business intelligence engineer must be a selfstarter comfortable with ambiguity able to think big and be creative (while still paying careful attention to detail) and enjoy working in a fastpaced dynamic environment. If you are excited about data are resultsoriented and want to join a growing analytics team within Amazon this role is for you!
Key job responsibilities
Design develop and maintain scaled automated userfriendly systems reports dashboards etc. that will support the needs of the business.
Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complicated data sets.
Be handson with ETL to build data pipeline to support automated reporting.
Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current business performance and ad hoc analyses to support future improvements or innovations. This will require data gathering and manipulation problem solving and communication of insights and recommendations.
Build various data visualizations to tell the story of business trends patterns and outliers through rich visualizations.
Recognize and adopt best practices in reporting and analysis: data integrity test design analysis validation and documentation.
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
Amazon 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 in the cloud.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
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 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.
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.
Do you want to be an integral part of the worlds transition to the cloud The AWS Analytics and Data Solutions (ADS) team is seeking for a Business Intelligence Engineer (BIE) with a combination of superior analytical abilities business acumen business judgement curiosity technical skills and written and verbal communication skills to join our team.
Datadriven decisionmaking is at the core of Amazons culture and people who are exceptionally talented at analyzing large sets of data to build insights are critical. Your work will directly impact the decisions and strategy of the entire AWS Infrastructure Services org and our customers. You will be gathering customer needs and insights mining large and diverse data sets from across AWS Infrastructure building visualizations and tools for our business partners generating insights to help senior leaders make critical business decisions. Hence the successful BIE will not only possess the expertise and passion for analyzing data designing metrics to measure the performance of the business and building reporting capabilities and tools but also will interact directly with business leaders and teams that rely on the metrics and analyses that they produce.
The business intelligence engineer must be a selfstarter comfortable with ambiguity able to think big and be creative (while still paying careful attention to detail) and enjoy working in a fastpaced dynamic environment. If you are excited about data are resultsoriented and want to join a growing analytics team within Amazon this role is for you!
Key job responsibilities
Design develop and maintain scaled automated userfriendly systems reports dashboards etc. that will support the needs of the business.
Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complicated data sets.
Be handson with ETL to build data pipeline to support automated reporting.
Serve as liaison between the business and technical teams to achieve the goal of providing actionable insights into current business performance and ad hoc analyses to support future improvements or innovations. This will require data gathering and manipulation problem solving and communication of insights and recommendations.
Build various data visualizations to tell the story of business trends patterns and outliers through rich visualizations.
Recognize and adopt best practices in reporting and analysis: data integrity test design analysis validation and documentation.
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
Amazon 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 in the cloud.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
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 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.
Employment Type
Full-Time
Key Skills
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