Manufacturing Engineer – Manufacturing Process & Data Automation

• Analyze and optimize manufacturing workflows to improve efficiency, reduce waste, and enhance product quality.
• Evaluate current production processes, identify inefficiencies and propose engineering solutions.
• Collaborate with production, quality and engineering teams to implement process enhancements and best practices through automation opportunity.
• Participate in root cause analysis and corrective action planning.
• Partner with operations to drive Kaizen and continuous improvement projects.

• Develop and maintain interactive Power BI dashboards to monitor manufacturing KPIs such as cycle time, OTD, output, OEE etc.
• Automate routine data reporting tasks using tools like Power Automate, Excel, and SQL.
• Integrate data from various sources such as MES system, Excel and other systems to support real-time decision-making.
• Automate recurring production and quality reports to reduce manual effort and human error.
• Perform routine data extraction and trend analysis.
• Provide insights through visualization and simple statistical analysis.
• Work closely with stakeholders to understand reporting needs and improve dashboard usability.

• Work with production teams, IT and maintenance to implement automation and improvement initiatives.
• Provide user support for dashboards, reporting or any new digital tools.
• Support on manufacturing improvement activities.

• Bachelor’s degree in Manufacturing Engineering, Industrial Engineering, Computer Science or related field.
• 1-2 years of experience in manufacturing or process improvement role and data analytics.
• Basic to intermediate proficiency in Power BI, dashboard/report creation, Excel, and automation tools (e.g., Power Automate, Python, SQL).
• Familiarity with Lean Manufacturing and continuous improvement principles.
• Strong analytical thinking and communication skills.

NXP Semiconductors