Business Intelligence Engineer , Infra Capacity Delivery (AMER)
Business Intelligence Engineer , Infra Capacity Delivery (AMER)
Posted on :
13-09-2025
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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 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.
We are seeking a Business Intelligence Engineer professional in Seattle WA or Herndon VA who can operate with a startup mentality while partnering with managers and business leaders to deliver sound data-backed recommendations and insights identify areas of improvement and suggest and implement solutions.
The ideal candidate will be highly analytical excited about data mining and generate insights that will influence the direction the organization. You will be curious and comfortable digging deep into data and developing core metrics to identify areas of improvement and partner with the business to find effective solutions. You will develop new ways to measure and track our performance and improve the customer experience by building robust technical and analytical solutions to help us better understand customer needs. You will empower data driven decision making through implementing principles of data mining data modelling and analytical skills to define and measure metrics for evaluating health of the business. You will be able to extract integrate and work on critical data to build out data pipelines automate reports and dashboards to communicate your findings and leverage self-service tools to internal stakeholders.
Key job responsibilities
Design develop implement test document and operate large-scale high-volume high-performance data structures for business intelligence analytics.
Implementing data structures using best practices in data modeling to provide on-line reporting and analysis using business intelligence tools and a logical abstraction layer against large multi-dimensional datasets and multiple sources.
Gathering business and functional requirements and translating the gathered requirements into robust scalable operable solutions that work well within the overall data architecture.
Analyzing source data systems and driving best practices in source teams.
Analyzing large amounts of data discovering and solving real world problems and building metrics and business cases to help business teams to make decisions.
Participating in the full development life cycle end-to-end from design implementation and testing to documentation delivery support and maintenance to produce comprehensive usable dataset documentation and metadata.
Evaluating and making decisions around dataset implementations designed and proposed by peer data engineers. Identifying business process improvements from the data level.
Analyzing and evaluating business process and through data driven insights proposing and implementing business process improvement.
About the team
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.
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
AWS values curiosity and connection. Our employee-led and company-sponsored 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 & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life 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.
- Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- 4 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- 4 years of experience with data visualization using Tableau Quicksight or similar tools
- 4 years of experience with data modeling warehousing and building ETL pipelines
- 4 years of experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Masters degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- 4 years of experience working as a BIE in a technology company
- 4 years of experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
- 3 years of experience with forecasting and statistical analysis
- 3 years of experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- 3 years of experience in Statistical Analysis packages such as R SAS and Matlab
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 job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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.
We are seeking a Business Intelligence Engineer professional in Seattle WA or Herndon VA who can operate with a startup mentality while partnering with managers and business leaders to deliver sound data-backed recommendations and insights identify areas of improvement and suggest and implement solutions.
The ideal candidate will be highly analytical excited about data mining and generate insights that will influence the direction the organization. You will be curious and comfortable digging deep into data and developing core metrics to identify areas of improvement and partner with the business to find effective solutions. You will develop new ways to measure and track our performance and improve the customer experience by building robust technical and analytical solutions to help us better understand customer needs. You will empower data driven decision making through implementing principles of data mining data modelling and analytical skills to define and measure metrics for evaluating health of the business. You will be able to extract integrate and work on critical data to build out data pipelines automate reports and dashboards to communicate your findings and leverage self-service tools to internal stakeholders.
Key job responsibilities
Design develop implement test document and operate large-scale high-volume high-performance data structures for business intelligence analytics.
Implementing data structures using best practices in data modeling to provide on-line reporting and analysis using business intelligence tools and a logical abstraction layer against large multi-dimensional datasets and multiple sources.
Gathering business and functional requirements and translating the gathered requirements into robust scalable operable solutions that work well within the overall data architecture.
Analyzing source data systems and driving best practices in source teams.
Analyzing large amounts of data discovering and solving real world problems and building metrics and business cases to help business teams to make decisions.
Participating in the full development life cycle end-to-end from design implementation and testing to documentation delivery support and maintenance to produce comprehensive usable dataset documentation and metadata.
Evaluating and making decisions around dataset implementations designed and proposed by peer data engineers. Identifying business process improvements from the data level.
Analyzing and evaluating business process and through data driven insights proposing and implementing business process improvement.
About the team
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.
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
AWS values curiosity and connection. Our employee-led and company-sponsored 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 & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life 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.
- Bachelors degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- 4 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- 4 years of experience with data visualization using Tableau Quicksight or similar tools
- 4 years of experience with data modeling warehousing and building ETL pipelines
- 4 years of experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Masters degree in BI finance engineering statistics computer science mathematics finance or equivalent quantitative field
- 4 years of experience working as a BIE in a technology company
- 4 years of experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
- 3 years of experience with forecasting and statistical analysis
- 3 years of experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- 3 years of experience in Statistical Analysis packages such as R SAS and Matlab
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 job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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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