The ideal candidate will be a hands-on problem solver with excellent analytical and organizational skills, who thrives in an environment that encourages and rewards superior work. You should be passionate about innovation and developing new skills, and excited to take on the challenge of contributing to the next generation of engineering tools and systems.
Primary Responsibilities
• Work with quality engineers, supplier engineers and suppliers to monitor products performance, identify trending issues. Prioritize based on Severity, occurrence, and/or cost of each failure modes
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Participate in continuous improvement activities and take preventive actions.
Share Lessons Learned from previous field issues; Provide upfront feedback by participating in design reviews to ensure product performance, reliability, and manufacturability issues are identified and risks mitigated. (DFMEAs)
Take part in ongoing optimization of the products and processes (performance, cost, technology)
...
Participate in continuous improvement activities and take preventive actions.
Share Lessons Learned from previous field issues; Provide upfront feedback by participating in design reviews to ensure product performance, reliability, and manufacturability issues are identified and risks mitigated. (DFMEAs)
Take part in ongoing optimization of the products and processes (performance, cost, technology)
...
Assist in integrating data from multiple sources, including building management systems (BMS), IoT devices, email, SharePoint, ERP/CRM systems, spreadsheets, databases, and other business applications.
Support data analytics, engineering data analysis, dashboards, and reporting initiatives for property operations, asset management, M&E performance monitoring, predictive maintenance, energy consumption analysis, and ESG tracking.
Analyze engineering and operational data to identify trends, equipment performance issues, maintenance opportunities, process improvements, and energy efficiency enhancements.
...
Assist in integrating data from multiple sources, including building management systems (BMS), IoT devices, email, SharePoint, ERP/CRM systems, spreadsheets, databases, and other business applications.
Support data analytics, engineering data analysis, dashboards, and reporting initiatives for property operations, asset management, M&E performance monitoring, predictive maintenance, energy consumption analysis, and ESG tracking.
Analyze engineering and operational data to identify trends, equipment performance issues, maintenance opportunities, process improvements, and energy efficiency enhancements.
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