Are you passionate about leveraging data to deliver actionable insight that impacts daily business decision of Amazon? Does the prospect of building a state of the art BI platform on AWS stack excite you?
Amazon is seeking an outstanding Business Intelligence Engineer to join Amazon's Human Resources Business Intelligence (HRBI) team to build out the HR Business Intelligence platform. The HRBI team is committed to build the next generation BI platform to support Amazon's rapidly growing workforce, and use it to deliver the BI applications which will have an immediate influence on day-to-day decision making. Our platform delivers business intelligence to a diverse, global community of internal customers. Amazon has culture of data-driven decision-making, and demands business intelligence that is timely, accurate, and actionable.
Our ideal candidate thrives in a fast-paced environment, relishes working with large transactional volumes and big data, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time), and, above all else, is a passionate about data and analytics. In this role, you will be part of a team of engineers to create world-class People Data warehouse and BI tools for Amazon's expanding global footprint.
As a HR BI Engineer, you will be developing and supporting a BI platform to address some of the unique challenges of an ever-growing workforce. You will be responsible for designing and implementing solutions using third-party technology and Amazon solutions including cloud technologies.
A successful candidate knows and loves working with business intelligence tools, is comfortable accessing and working with data from multiple sources, and passionately partners with the business to identify strategic opportunities and deliver results. You should have an internal drive to answer “why?” questions, excellent analytical abilities, strong technical skills, as well as superior written and verbal communication skills. 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.