Manufacturing Data Systems Intern Job

Key Responsibilities

• Develop and maintain Asset Framework templates, elements, and attributes to support the organization's manufacturing data lake and digital manufacturing architecture.
• Aid in the contextualization and organization of process, equipment, and production data within the PI Asset Framework and Aspen mMDM.
• Create, modify, and enhance process graphics and dashboards using Aspen A1PE and PI Vision.
• Collaborate with engineers and operations personnel to improve visualization standards and user experience for manufacturing data displays.
• Support development and maintenance of Event Frames for batch tracking, production monitoring, downtime analysis, and operational reporting.
• Perform data extraction, validation, and analysis using PI System, Aspen IP.21, and Microsoft Excel.
• Develop and maintain spreadsheets, reports, and data tools that support operational decision-making and performance monitoring.
• Assist with troubleshooting data quality issues and validating historian data against plant records and process information.
• Support special projects involving manufacturing analytics, historian integrations, and digital transformation initiatives such as the global data lake project.
• Support Distributed Control Systems graphics development.

Preferred Qualifications

• Pursuing a Bachelor's degree in Chemical Engineering, Mechanical Engineering, Industrial Engineering, Computer Engineering, Data Analytics, or a related technical discipline.
• Interest in manufacturing systems, industrial data, process automation, or operational technology (OT).
• Strong analytical and problem-solving skills.
• Experience with Microsoft Excel, including formulas, pivot tables, and data analysis.
• Familiarity with databases, SQL, scripting, or industrial software platforms is a plus.
• Ability to work independently while collaborating effectively with engineering and operations teams.

Skills Developed

• Industrial historian systems (OSIsoft PI System and Aspen IP.21)
• Asset Framework development and data contextualization
• Manufacturing data visualization and dashboard design
• Event Frame configuration and operational analytics
• Process data analysis and reporting
• Digital manufacturing and Industry 4.0 technologies
• Knowledge of manufacturing processes and application of developing process engineering skills into IT/OT technologies