Business Intelligence Engineer II, Maintenance Automation Platform

Amazon is seeking a Business Intelligence Engineer to join their Maintenance Automation Platform team, focusing on providing statistical and analytical insights for one of the world's largest Reliability, Maintenance Engineering (RME) platforms. This role sits at the intersection of data analytics and industrial automation, working with systems that connect low-level automation systems with cloud infrastructure.

The position involves working with complex systems that leverage Machine Learning and Big Data to drive predictive maintenance actions, prevent equipment downtime, and improve Overall Equipment Efficiency in Amazon's worldwide fulfillment network. The role requires someone who can bridge the gap between technical data analysis and business insights, with the ability to work effectively across various teams at Amazon.

As a Business Intelligence Engineer, you'll be responsible for architecting and implementing platforms for large dataset access, creating comprehensive BI solutions, and developing critical metrics and dashboards that drive business decisions. The role involves extensive work with data modeling, ETL processes, and predictive analytics, requiring both technical expertise and business acumen.

The ideal candidate should be comfortable working in a fast-paced environment, possess strong analytical and technical skills, and have the ability to communicate complex insights effectively. You'll be working with cutting-edge technologies and tools, including various AWS services, and will have the opportunity to impact the efficiency of Amazon's global fulfillment operations.

The Maintenance Automation Platform team plays a crucial role in ensuring that machine-generated data translates into effective maintenance actions. This position offers the opportunity to work on innovative solutions that directly impact Amazon's operational efficiency and contribute to the evolution of industrial automation practices.

This role combines the excitement of working with big data and advanced analytics with the practical application of maintaining and improving critical infrastructure. It's an excellent opportunity for someone who wants to work at the forefront of industrial automation while leveraging modern data analysis techniques and cloud technologies.