Business Intelligence Engineer

Job description

DESCRIPTION

Do you want to become a leader at one of the fastest growing software businesses in history? Would you enjoy tackling problems that have never been solved before in a fast paced start-up environment? How about rapidly scaling the infrastructure at one of the world's largest cloud computing providers to deliver the best outcomes to customers? If you answered “yes,” then working on the innovative infrastructure challenges within Amazon Web Services may be the right place for you.

Data Center Systems builds world-class controls software, enabling high security metering, monitoring, alarming, and software enabled backstops to ensure the health of our thermal and electrical infrastructure at high infrastructure utilization.

As a Business Intelligence Engineer you will work directly with our Data Science, Technical Program Management, and Software teams to correctly model our infrastructure in the software, keeping data quality and scalability in mind while doing so. As our team polls increasingly more power and temperature data, we have the opportunity to uncover tons of new insights around the performance of our infrastructure. You will be responsible for creating the metrics that monitor the health of our power and thermal infrastructure, creating visuals highlighting new insights you discover about how our infrastructure performs under various conditions, and contribute to our OP1 and Monthly VP doc reviews.

Desired profile

BASIC QUALIFICATIONS

· Undergraduate degree in statistics, business, finance, engineering, or a related field OR equivalent years of industry experience (4+ years)
· 3+ years of direct Business Intelligence and Data Engineering experience building metrics and visuals.
· Experience using SQL, Tableau, spreadsheet tools, and other analytic or modeling software.
· Experience building scalable tables and data pipelines for the purposes of data analytics and reporting.
· Experience building and managing models for: business forecasting, variance analysis, and problem solving.