Role at a glance
- Job function
-
AI & Data Data Analytics
- Salary
- Not yet verified Check the description for pay details; an amount or pay period has not been verified.
- Location
- Seattle, Washington, United States Austin, Texas, United States
- Work arrangement
- On-site
- Experience
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience 1+ years of SQL, ETL or Oracle experience 1+ years of processing large, multi-dimensional datasets from multiple sources experience 1+ years of performing statistical analysis experience 1+ years of developing automated reporting experience 3+ years of in the job offered or a related occupation experience 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience
- Education
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
Spotted an issue?
We’ll check it against the original posting.
Role Summary
The Business Intelligence Engineer supports the ML Capacity Delivery organization by analyzing AWS Infrastructure data and developing metrics, reporting, and analytical tools for business partners and leaders. The role gathers business needs and turns them into reporting solutions and insights for planning and decision-making.
What You'll Do
- Partner with business customers and leaders to define, track, and report KPIs against annual, quarterly, and monthly goals.
- Gather requirements and deliver reporting solutions, including automated reports and dashboards for procurement planning and...
- Build and optimize ETL pipelines that draw from diverse sources using SQL, Python, and AWS big data technologies.
- Publish and maintain QuickSight dashboards, reports, and executive review documents that reveal trends, patterns, and outliers.
- Audit reporting for completeness and accuracy, and automate manual reporting.
- Analyze patterns and business outcomes, develop measures of program effectiveness and organizational productivity, and provide...
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Basic qualifications include experience analyzing and interpreting data with Redshift, Oracle, NoSQL, or similar; SQL, ETL, or Oracle; processing large, multidimensional datasets; statistical analysis; and automated reporting. Also required: data visualization with Tableau, QuickSight, or similar tools; data modeling, warehousing, and ETL pipelines; statistical analysis packages such as R, SAS, and Matlab; and SQL plus Python scripting for data processing and modeling.
Preferred
- 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 large-scale, complex datasets
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Help Us Build the Data Centers That Power the Cloud.
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. We're the people who build the data centers and keep the cloud running. Every AWS data center, and every server, storage system, network, power, and cooling unit inside it, starts with our work, so customers can count on the innovations they rely on, every second of every day. We tackle some of the toughest problems in the industry, with thousands of variables shaping the supply chain, and we want talented people who are excited to solve them with us
You’ll join a diverse team of technical program managers, design engineers, construction managers, 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.
Data-driven decision-making is at the core of Amazon's 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 ML Capacity Delivery organization and our customers. You will gather customer needs and insights, mine large and diverse data sets from across AWS Infrastructure, build visualizations and tools for our business partners, and generate insights to help senior leaders make critical business decisions. 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 will also interact directly with business leaders and teams that rely on the metrics and analyses they produce.
The ideal candidate must be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail), and enjoy working in a fast-paced, dynamic environment. If you are excited about data, are results-oriented, and want to join a growing analytics team within Amazon — this role is for you!
Key job responsibilities
Set the baseline. Partner with business customers and leadership to define, track, and report KPIs against annual, quarterly, and monthly goals.
Turn needs into solutions. Gather requirements and deliver complete reporting solutions.
Build at scale. Design, develop, and maintain automated, user-friendly reports and dashboards that support procurement planning and decision-making.
Move the data. Build and optimize ETL pipelines that pull data from diverse sources using SQL, Python, and AWS big data technologies.
Tell the story. Publish and maintain QuickSight dashboards, reports, and executive review documents that reveal trends, patterns, and outliers.
Spot what others miss. Uncover patterns in the data and connect them to business outcomes.
Measure what matters. Invent new ways to define and measure program effectiveness and organizational productivity.
Bridge business and tech. Act as the link between business and technical teams, delivering actionable insights and ad hoc analyses that fuel future improvements.
Protect data quality. Run regular audits to keep reporting complete and accurate, and automate manual reporting wherever you can.
Think ahead. Grow the team's analytical maturity through predictive and prescriptive analytics.
About the team
*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.
*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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
*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, there’s nothing we can’t achieve in the cloud.
*Inclusive Team Culture*
Here at AWS, it’s in our nature to learn and be curious. Our employee-led 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 conferences, inspire us to never stop embracing our uniqueness.
*Mentorship and 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.
- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting experience
- 3+ years of in the job offered or a related occupation experience
- 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
- 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 in data mining, ETL, etc. and using databases in a business environment with large-scale, 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 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, TX, Austin - 99,500.00 - 160,000.00 USD annually
USA, VA, Arlington - 99,500.00 - 160,000.00 USD annually
USA, VA, Herndon - 99,500.00 - 160,000.00 USD annually
USA, WA, Seattle - 99,500.00 - 160,000.00 USD annually
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. We're the people who build the data centers and keep the cloud running. Every AWS data center, and every server, storage system, network, power, and cooling unit inside it, starts with our work, so customers can count on the innovations they rely on, every second of every day. We tackle some of the toughest problems in the industry, with thousands of variables shaping the supply chain, and we want talented people who are excited to solve them with us
You’ll join a diverse team of technical program managers, design engineers, construction managers, 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.
Data-driven decision-making is at the core of Amazon's 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 ML Capacity Delivery organization and our customers. You will gather customer needs and insights, mine large and diverse data sets from across AWS Infrastructure, build visualizations and tools for our business partners, and generate insights to help senior leaders make critical business decisions. 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 will also interact directly with business leaders and teams that rely on the metrics and analyses they produce.
The ideal candidate must be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail), and enjoy working in a fast-paced, dynamic environment. If you are excited about data, are results-oriented, and want to join a growing analytics team within Amazon — this role is for you!
Key job responsibilities
Set the baseline. Partner with business customers and leadership to define, track, and report KPIs against annual, quarterly, and monthly goals.
Turn needs into solutions. Gather requirements and deliver complete reporting solutions.
Build at scale. Design, develop, and maintain automated, user-friendly reports and dashboards that support procurement planning and decision-making.
Move the data. Build and optimize ETL pipelines that pull data from diverse sources using SQL, Python, and AWS big data technologies.
Tell the story. Publish and maintain QuickSight dashboards, reports, and executive review documents that reveal trends, patterns, and outliers.
Spot what others miss. Uncover patterns in the data and connect them to business outcomes.
Measure what matters. Invent new ways to define and measure program effectiveness and organizational productivity.
Bridge business and tech. Act as the link between business and technical teams, delivering actionable insights and ad hoc analyses that fuel future improvements.
Protect data quality. Run regular audits to keep reporting complete and accurate, and automate manual reporting wherever you can.
Think ahead. Grow the team's analytical maturity through predictive and prescriptive analytics.
About the team
*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.
*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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
*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, there’s nothing we can’t achieve in the cloud.
*Inclusive Team Culture*
Here at AWS, it’s in our nature to learn and be curious. Our employee-led 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 conferences, inspire us to never stop embracing our uniqueness.
*Mentorship and 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.
Basic Qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting experience
- 3+ years of in the job offered or a related occupation experience
- 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
- 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
Preferred Qualifications
- 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 large-scale, 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 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, TX, Austin - 99,500.00 - 160,000.00 USD annually
USA, VA, Arlington - 99,500.00 - 160,000.00 USD annually
USA, VA, Herndon - 99,500.00 - 160,000.00 USD annually
USA, WA, Seattle - 99,500.00 - 160,000.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.