Business Intelligence Engineer , Data Center Sourcing & Procurement, AWS Data Center Sourcing & Procurement
Herndon, Virginia, USA
Amazon.com
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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 Data Center Sourcing and Procurement team is looking to hire an experienced Business Intelligence Engineer to join our procurement category management team to support fast growing operations. This role will own data analytics projects from beginning to end, utilizing business intelligence tools to produce dashboard, planning models, and analysis for the different procurement categories verticals. You will work with sourcing teams on vendor tendors, category strategy teams to understand financial trends, and other BI teams across AWS to deliver high quality and robust data visualizations and analyses. You will recognize and adopt best practices in reporting and analysis, including data integrity, data validation, and documentation. Your analysis will contribute deeply to the development of our strategy and drive impact against our business objectives.
Key job responsibilities
- Establish baseline metrics and analytics. Collaborate with business customers and the leadership team to track and report all key performance indicators (KPI) against annual, quarterly and monthly goals.
- Interface with business customers, gathering requirements and delivering complete reporting solutions.
- Publish and maintain Quicksite dashboards, reports, and executive review documents.
- Identify patterns in data and how they relate to the business outcomes.
- Perform regular system audits to ensure complete and accurate reporting of data/metrics.
- Invent new ways to define and measure program effectiveness and organizational productivity.
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 (gender diversity) 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.
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with data querying or modeling with SQL
- Experience in business process improvement, Lean or Six Sigma
- Experience with data querying or modeling with SQL or Excel
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.
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 Data Center Sourcing and Procurement team is looking to hire an experienced Business Intelligence Engineer to join our procurement category management team to support fast growing operations. This role will own data analytics projects from beginning to end, utilizing business intelligence tools to produce dashboard, planning models, and analysis for the different procurement categories verticals. You will work with sourcing teams on vendor tendors, category strategy teams to understand financial trends, and other BI teams across AWS to deliver high quality and robust data visualizations and analyses. You will recognize and adopt best practices in reporting and analysis, including data integrity, data validation, and documentation. Your analysis will contribute deeply to the development of our strategy and drive impact against our business objectives.
Key job responsibilities
- Establish baseline metrics and analytics. Collaborate with business customers and the leadership team to track and report all key performance indicators (KPI) against annual, quarterly and monthly goals.
- Interface with business customers, gathering requirements and delivering complete reporting solutions.
- Publish and maintain Quicksite dashboards, reports, and executive review documents.
- Identify patterns in data and how they relate to the business outcomes.
- Perform regular system audits to ensure complete and accurate reporting of data/metrics.
- Invent new ways to define and measure program effectiveness and organizational productivity.
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 (gender diversity) 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
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with data querying or modeling with SQL
Preferred Qualifications
- Knowledge of data modeling and data pipeline design- Experience in business process improvement, Lean or Six Sigma
- Experience with data querying or modeling with SQL or Excel
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Big Data Jobs
Engineering Jobs
Tags: AWS Business Intelligence Data Analytics Excel NoSQL Oracle Power BI QuickSight Redshift Security SQL Statistics Tableau
Perks/benefits: Career development Conferences Team events
Region:
North America
Country:
United States
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