Quality Intern

At PennEngineering, we innovate and collaborate to make the world a better place. You can contribute to work that matters with a company where diversity, equity and inclusion are shared values. We're committed to fostering an environment for every employee that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

We are seeking a motivated and detail-oriented Quality Intern to join our team for the summer. This role offers hands-on experience in quality analytics, process improvement, and cross-functional collaboration, supporting key initiatives across operations and quality teams.

Job Scope

The Quality Intern will partner with plant quality, operations, finance, and regional teams to support data-driven decision-making and continuous improvement initiatives. This includes developing methodologies for cost tracking, enhancing data analytics capabilities, and supporting plant-level performance analysis.

Key Responsibilities

Project 1: Data Analytics & Dashboard Development

• Assist in the development of AI-driven data capture and analysis tools across multiple locations
• Collaborate with plant teams to design and implement dashboards using Axion and FTQ/FTY metrics
• Conduct detailed analysis of JDE data to improve waste tracking and enhance work order–level accuracy
• Identify opportunities to improve data integrity and reporting processes

Project 2: Customer & Supplier Quality Insights

• Support North America Quality Liaison initiatives related to customer channels, direct sales, and suppliers
• Analyze both quantitative and qualitative data to better understand customer needs and quality trends
• Contribute to the development of tools or models that enhance customer feedback analysis

Project 3: Plant Performance & Cost Analysis

• Partner with quality managers and operations teams to analyze plant performance metrics
• Assist in developing standardized methodologies for cost capture and performance measurement
• Support reporting and insights generation to drive continuous improvement initiatives

Requirements:

• Currently pursuing a Bachelor's or Master's degree in Engineering (Industrial, Mechanical, Manufacturing, or related field), Data Analytics, Statistics, Business Analytics, or a related discipline
• Strong analytical and problem-solving skills with attention to detail
• Proficiency in Microsoft Excel; experience with data visualization tools (e.g., Power BI, Tableau) preferred
• Familiarity with data analysis concepts; exposure to AI, machine learning, or statistical modeling is a plus
• Strong communication skills and ability to work collaboratively in a cross-functional environment
• Self-motivated, organized, and eager to learn in a fast-paced setting

Compensation: 21.00