Amazon is looking for a Business Intelligence Engineer to provide statistical and analytical insights from the vast array of services powering one of the world's largest Reliability, Maintenance Engineering (RME) platforms.
As part of the Automation Engineering team, we support the business in all aspects of the traditional automation pyramid, and we provide our internal users information on all aspects of the status of control systems within Amazon's EU Fulfillment Network.
At a basic level, these systems link our low-level automation systems with the cloud and we work at the cutting edge of all aspects of the automation pyramid, from device level to the enterprise level.
The more complex systems are leveraging Machine Learning and Big Data to drive predictive actions, preventing downtime or defects in the material handling equipment and improving the Overall Equipment Efficiency of the installations.
This role requires an individual with excellent statistical and analytical abilities, deep knowledge of business intelligence solutions and data engineering practices as well as outstanding business acumen and ability to work with various teams across Amazon.
The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-
paced and ever-changing environment, and driven by a desire to innovate in this space.
You know and love working with business intelligence tools, can model multidimensional datasets, and can partner with customers to answer key business questions.
You are analytical and creative, and you don't quit. You will also have the opportunity to display your skills in the following areas :
The ideal candidate would have outstanding business acumen, a restlessness to answer why? questions, excellent analytical abilities, strong technical skills, superior written and verbal communication skills, and the ability to influence and lead cross-
functional teams. S / he would be a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoy working in a fast-
paced dynamic environment. Work closely with RME teams and the broader BI community.