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.
Top notch communication (verbal and written) and interpersonal skills to convey key insights from complex analysis in summarized business terms and an ability to effectively communicate with technical teams.
Candidates with a MS degree in a relevant field are preferred
About our rewards :
We’ll expect you to go the extra mile, but we’ll also make sure you’re well rewarded. As well as a competitive salary, stock units and site performance-related pay potential, we offer a whole host of other benefits, including an employee discount.
Additionally, you will find yourself in a stimulating environment where you can develop processes as well as yourself as an individual by working with some of the best and brightest minds in the industry.
Our rapidly growing organisation also offers many opportunities for building a diverse and rewarding career.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success.
We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.
By submitting your resume and application information, you authorize Amazon to transmit and store your information in the Amazon group of companies' world-wide recruitment database, and to circulate that information as necessary for the purpose of evaluating your qualifications for this or other job vacancies.