Business Intelligence Engineer , Global Operations Support Engineering
Amazon
Full-time
On-site
Herndon, Virginia, United States
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re 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 we’re looking for talented people who want to help.
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll 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 you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
The AWS Global Operations Support Engineering (GOSE) team is seeking a Business Intelligence Engineer (BIE) to serve as a technical resource and leader to drive the team’s long-term vision within the Data Center Community (DCC). The BIE will design, develop, and implement technical solutions which promote efficiency, eliminate manual effort, and drive continuous improvement for our global team and customers within engineering and operations. You will partner with Data and Business Intelligence Engineers, and cross functional teams, to harness the vast amount of operational data from the AWS fleet, and will use this data to generate insights and to make informed, data driven, and streamlined business decisions. Data analysis is at the core Amazon’s 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 business intelligence solutions in complex, ambiguous or poorly defined problem spaces.
• Proactively work to improve the consistency and integration between the team’s business intelligence solutions and any related systems or artifacts (owned by other teams).
• Influence the team’s technical and business strategy by making insightful contributions to team priorities and lead in identifying and solving architecture deficiencies that limit the innovation.
• Able to communicate your ideas effectively to achieve the right outcome for the team and customer. Seek diverse perspectives, listen to feedback, and be willing to change direction if it creates a better outcome.
• Lead design reviews for business intelligence 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 business intelligence solutions, and their ability to get things done.
• Influence technical decisions made by partner teams via collaborative software effort or by driving engineering best practices (e.g. analytical rigor, code quality, data quality, data modelling, operational excellence, automation, visualization).
• Automate reporting, process solutions and make data infrastructure improvements to meet business needs.
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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s 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
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
- Experience with scripting language (e.g., Python, Java, or R)
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
USA, VA, Herndon - 82,300.00 - 144,000.00 USD annually
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll 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 you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
The AWS Global Operations Support Engineering (GOSE) team is seeking a Business Intelligence Engineer (BIE) to serve as a technical resource and leader to drive the team’s long-term vision within the Data Center Community (DCC). The BIE will design, develop, and implement technical solutions which promote efficiency, eliminate manual effort, and drive continuous improvement for our global team and customers within engineering and operations. You will partner with Data and Business Intelligence Engineers, and cross functional teams, to harness the vast amount of operational data from the AWS fleet, and will use this data to generate insights and to make informed, data driven, and streamlined business decisions. Data analysis is at the core Amazon’s 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 business intelligence solutions in complex, ambiguous or poorly defined problem spaces.
• Proactively work to improve the consistency and integration between the team’s business intelligence solutions and any related systems or artifacts (owned by other teams).
• Influence the team’s technical and business strategy by making insightful contributions to team priorities and lead in identifying and solving architecture deficiencies that limit the innovation.
• Able to communicate your ideas effectively to achieve the right outcome for the team and customer. Seek diverse perspectives, listen to feedback, and be willing to change direction if it creates a better outcome.
• Lead design reviews for business intelligence 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 business intelligence solutions, and their ability to get things done.
• Influence technical decisions made by partner teams via collaborative software effort or by driving engineering best practices (e.g. analytical rigor, code quality, data quality, data modelling, operational excellence, automation, visualization).
• Automate reporting, process solutions and make data infrastructure improvements to meet business needs.
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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s 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
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
- Experience with scripting language (e.g., Python, Java, or R)
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, VA, Herndon - 82,300.00 - 144,000.00 USD annually