Data-Driven Quality Analytics Intern (Hybrid)

TE Connectivity Corporation; Middletown Township (PA); Hybrid; USD 29,000 - 62,000; Full time

Job summary

TE Connectivity Corporation invites motivated students to join our Connected Living Solutions internship program in Middletown, PA. This role provides hands-on experience in analytics and quality engineering within a global industrial tech environment, focusing on data management, reporting, and process improvement across multiple functions.

You will contribute to customer satisfaction, manufacturing excellence, and new product development while supporting quality management systems in the CLS

Qualifications

• High school diploma or GED required.
• Enrolled in or pursuing a BA/BS in Industrial & Systems Engineering, Statistics, or related major.
• Strong written and oral communication skills.
• Creative problem solving using data and analytics.
• Self-starter and intellectually curious.
• Authorized to work in the U.S.

Responsibilities

• Gain practical experience in Analytics and Quality Engineering.
• Become familiar with data management and reporting across multiple functions.
• Learn the impact of the Quality Function on Customer Satisfaction, Manufacturing, Continual Improvement, and New Product Development.
• Support Quality Management Systems and Continual Improvement efforts in the CLS Business Unit.

Skills

Data analytics

Written and oral communication

Self-starter

Analytical mindset

Education

High school diploma or GED

BA/BS in Industrial & Systems Engineering, Statistics or related major

Job description

TE Connectivity Corporation invites motivated students to join our Connected Living Solutions internship program in Middletown, PA. This role provides hands-on experience in analytics and quality engineering within a global industrial tech environment, focusing on data management, reporting, and process improvement across multiple functions.

You will contribute to customer satisfaction, manufacturing excellence, and new product development while supporting quality management systems in the CLS