Business Intelligence Engineer , Global Operations Support Engineering

Amazon • Herndon, VA

1d

About The Position

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.

Requirements

• 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)

Nice To Haves

• Master's degree, or Advanced technical degree
• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis, co-relation analysis

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.

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level