Business Intelligence Engineer, AWS DC Acqn&Construction

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 technical program managers design engineers construction managers 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.

Do you want to be an integral part of the worlds transition to the cloud The ML Capacity Delivery Team (MLZ) is seeking a Business Intelligence Engineer II (BIE) with a combination of superior analytical abilities business acumen curiosity technical skills and strong written and verbal communication skills to join our team.

The MLZ team is responsible for delivering ML and AI infrastructure capacity across AWSs global data center footprint. As a BIE on this team you will build the data foundations reporting systems and analytical capabilities that enable leadership to make critical decisions about how we plan track and deliver ML capacity at scale. You will work closely with technical program managers systems engineers operations teams and planning organizations to transform complex operational data into actionable insights that drive delivery velocity and efficiency.

Data-driven decision-making is at the core of Amazons 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
Design develop and maintain scaled automated user-friendly systems reports and dashboards that support ML capacity delivery tracking planning and operational decision-making.

Build and optimize data pipelines for extraction transformation and loading (ETL) of data from diverse sources across AWS Infrastructure using SQL Python and AWS big data technologies.

Apply deep analytic and business intelligence skills to extract meaningful insights from large and complex data sets related to capacity delivery timelines supply chain logistics and infrastructure deployment.

Collaborate with program managers systems engineers and operations teams to understand business requirements and translate them into scalable data solutions and reporting capabilities.

Build data visualizations that tell the story of ML capacity delivery performance trends patterns bottlenecks and outliers through rich intuitive dashboards for stakeholders at all levels.

Design and track key performance metrics that measure the health and efficiency of ML capacity delivery operations including delivery velocity on-time performance and pipeline throughput.

Serve as a liaison between business and technical teams to achieve the goal of providing actionable insights into current business performance and ad hoc analyses to support future improvements or innovations.

Recognize and adopt best practices in reporting and analysis: data integrity test design analysis validation and documentation.

Proactively identify opportunities to improve data quality automate manual reporting processes and enhance the analytical maturity of the team through predictive and prescriptive analytics.

About the team
*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.

*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 hasnt followed a traditional path or includes alternative experiences dont 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 theres nothing we cant achieve in the cloud.

*Inclusive Team Culture*
Here at AWS its 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*
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.

- 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
- Bachelors 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 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 for more information. If the country/region youre applying in isnt 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 VA Herndon - 99500.00 - 160000.00 USD annually
USA WA Seattle - 99500.00 - 160000.00 USD annually