Senior Business Intelligence Engineer, Infra Supply Chain Automation

Description

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.

Do you want to be an integral part of the world’s transition to the cloud? The AWS Analytics and Data Solutions (ADS) team is seeking a Senior Business Intelligence Engineer (BIE) with a combination of superior analytical abilities, business acumen, business judgement, curiosity, technical skills, and written and verbal communication skills to join our team.

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 entire AWS Infrastructure Services org and our customers. You will be gathering customer needs and insights, mining large and diverse data sets from across AWS Infrastructure, building visualizations and tools for our business partners, generating insights to help senior leaders make critical business decisions.

Hence, 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 also will interact directly with business leaders and teams that rely on the metrics and analyses that they produce.

The Senior Business Intelligence Engineer 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!

• Design, develop and maintain scaled, automated, user‑friendly systems, reports, dashboards, etc. that will support the needs of the business.
• Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complicated data sets.
• Be hands‑on with ETL to build a data pipeline to support automated reporting.
• Serve as liaison between the 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. This will require data gathering and manipulation, problem solving, and communication of insights and recommendations.
• Build various data visualizations to tell the story of business trends, patterns, and outliers through rich visualizations.
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.

• 10+ years of professional or military experience.
• 5+ years of SQL experience.
• Experience programming to extract, transform and clean large (multi‑TB) data sets.
• Experience with AWS technologies.
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.

• Experience working directly with business stakeholders to translate between data and business needs.
• Experience managing, analyzing and communicating results to senior leadership.
• Experience with theory and practice of design of experiments and statistical analysis of results.
• Experience with theory…