Business Intelligence Engineer, AWS Support BI & Analytics
Business Intelligence Engineer, AWS Support BI & Analytics
Posted on :
09-05-2025
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1 Vacancy
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Job Description
AWS Sales Marketing and Global Services (SMGS) is responsible for driving revenue adoption and growth from the largest and fastest growing small and midmarket accounts to enterpriselevel customers including public sector. The AWS Global Support team interacts with leading companies and believes that worldclass support is critical to customer success. AWS Support also partners with a global list of customers that are building missioncritical applications on top of AWS services.
Are you a passionate Business Intelligence Engineer (BI Engineer) who wants to make a real impact on a big business Read on!
We are looking for seasoned Business Intelligence Engineers to join a BI team in the AWS Support organization. AWS Support despite the impression that its name (support) might give you is not a typical reactive customer service but an independent AWS business that provides industryleading offerings way beyond just breakfix. The business has a selfstanding P&L and has even yielded revenue larger than most AWS Services. Managing an organization that provides support for everexpanding AWS product portfolio to millions of customers across the globe is not a simple task and leaders in all functions inevitably need reliable data for their daytoday operations and strategic decisionmakings. The BI team is an integrated core part of the AWS Support operations delivering robust and trustworthy infrastructure to the truly datadriven organization.
As BI Engineer you will work closely with internal stakeholders to define key performance indicators (KPIs) through your deep understanding in support business and operations and implement the KPIs into dashboards/reports that drive the decisions made by senior leadership. The BI Engineers will have opportunities to not just exercise her/his technical skills such as SQL to retrieve data and convert it to simple graphs and tables but to develop true dashboards that are informationrich and flexible yet intuitive and easytouse that help the support leadership quickly discover golden insights to serve AWS customers better. You will let the data answer questions such as What is high/low quality means at support Is this particular customer happy with their support experience and How productive is this support agent versus other agents in the network The usage of the data that the AWS Support BI team publishes spans to other AWS teams outside of the organization. Support data serves as one of key leading indicators for new customer demands and for problems yet to be discovered. Such external usage might lead to next big thing launched by AWS!
From technology perspectives you will have opportunities to (and will be asked to) be exposed to the modern agile cloudbased data technologies. The team will be empowered to select the right technology if necessary based on customer needs and you will have the full set of AWS services in your toolbox.
Key job responsibilities
Understand the problem thats loosely defined or structured.
Provides BI solutions for difficult problems and works on delivering large BI solutions.
Provides solutions that drive teams business decisions and highlight new opportunities.
Improves code quality and optimizes BI processes.
Basic understanding of a scripting language. Knows how to model data and design a data pipeline. Able to apply basic statistical methods (e.g. regression) for difficult business problems.
A day in the life
Design and implement data ingestion pipelines crawlers and reporting platforms. Implement data quality checks and alarms. Enable data discovery by cataloging technical and business meta data definitions. Investigate and resolve any data pipeline issues data quality issues and performance bottlenecks. Find and ingest data sets that will meet the needs of data consumers. Perform code reviews of fellow engineers submitting changes .
About the team
The BI and Analytics (BIA) team empowers the business with the ability to make datadriven decisions to improve our customer experience and achieve operational excellence. We accomplish this by curating the data that is required for analysis maintaining core metric definitions building models dashboards and reports and enabling selfservice analytics.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.
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.
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 & 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.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
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.
Are you a passionate Business Intelligence Engineer (BI Engineer) who wants to make a real impact on a big business Read on!
We are looking for seasoned Business Intelligence Engineers to join a BI team in the AWS Support organization. AWS Support despite the impression that its name (support) might give you is not a typical reactive customer service but an independent AWS business that provides industryleading offerings way beyond just breakfix. The business has a selfstanding P&L and has even yielded revenue larger than most AWS Services. Managing an organization that provides support for everexpanding AWS product portfolio to millions of customers across the globe is not a simple task and leaders in all functions inevitably need reliable data for their daytoday operations and strategic decisionmakings. The BI team is an integrated core part of the AWS Support operations delivering robust and trustworthy infrastructure to the truly datadriven organization.
As BI Engineer you will work closely with internal stakeholders to define key performance indicators (KPIs) through your deep understanding in support business and operations and implement the KPIs into dashboards/reports that drive the decisions made by senior leadership. The BI Engineers will have opportunities to not just exercise her/his technical skills such as SQL to retrieve data and convert it to simple graphs and tables but to develop true dashboards that are informationrich and flexible yet intuitive and easytouse that help the support leadership quickly discover golden insights to serve AWS customers better. You will let the data answer questions such as What is high/low quality means at support Is this particular customer happy with their support experience and How productive is this support agent versus other agents in the network The usage of the data that the AWS Support BI team publishes spans to other AWS teams outside of the organization. Support data serves as one of key leading indicators for new customer demands and for problems yet to be discovered. Such external usage might lead to next big thing launched by AWS!
From technology perspectives you will have opportunities to (and will be asked to) be exposed to the modern agile cloudbased data technologies. The team will be empowered to select the right technology if necessary based on customer needs and you will have the full set of AWS services in your toolbox.
Key job responsibilities
Understand the problem thats loosely defined or structured.
Provides BI solutions for difficult problems and works on delivering large BI solutions.
Provides solutions that drive teams business decisions and highlight new opportunities.
Improves code quality and optimizes BI processes.
Basic understanding of a scripting language. Knows how to model data and design a data pipeline. Able to apply basic statistical methods (e.g. regression) for difficult business problems.
A day in the life
Design and implement data ingestion pipelines crawlers and reporting platforms. Implement data quality checks and alarms. Enable data discovery by cataloging technical and business meta data definitions. Investigate and resolve any data pipeline issues data quality issues and performance bottlenecks. Find and ingest data sets that will meet the needs of data consumers. Perform code reviews of fellow engineers submitting changes .
About the team
The BI and Analytics (BIA) team empowers the business with the ability to make datadriven decisions to improve our customer experience and achieve operational excellence. We accomplish this by curating the data that is required for analysis maintaining core metric definitions building models dashboards and reports and enabling selfservice analytics.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.
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.
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 & 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.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
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.
Employment Type
Full-Time
Key Skills
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