The Global Operations Business Intelligence team is responsible for performing advanced analytics, creating infrastructure and data pipelines, developing predictive models and making data applications that enable cross functional teams to leverage a wealth of manufacturing, equipment, energy, and vehicle data both efficiently and effectively. In this role, you will focus on building data pipelines and infrastructure that power data science systems, tools, software and applications for the Service and Remanufacturing teams.
B.S. degree or higher in quantitative discipline (e.g., Computer Science, Mathematics, Physics, Electrical Engineering, Statistics, Industrial Engineering) or the equivalent in experience and evidence of exceptional ability 5+ years of work experience in data engineering or platform engineering. Extensive experience developing ETLs and using SQL and Python. Works well under pressure while collaborating and managing competing demands with tight deadlines. Experience in high volume manufacturing is a plus where automated assembly is performed and data collected via Manufacturing Execution Systems. Understanding of software and database design to work closely with a development team to translate business needs into software solutions. Preferred Qualifications: Data mining and Machine Learning experience.