Product Improvement Analyst Jobs (NOW HIRING)

Job Title: CONTINUOUS IMPROVEMENT ANALYST I

Posting Start Date: 8/26/26

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

Continuous Improvement Analyst is responsible for driving Lean Manufacturing, Kaizen, and Operational Excellence initiatives across manufacturing operations. This role focuses on identifying and implementing process, material, and productivity improvements to enhance operational efficiency, reduce costs and waste, and support digital transformation initiatives. The successful candidate will leverage data analytics, automation, and continuous improvement methodologies to optimize manufacturing performance, while collaborating with regional stakeholders across the ICT Business Unit.

• Lead Kaizen (TEBITS), Lean Manufacturing, and Continuous Improvement initiatives across the factory.
• Drive Operational Excellence programs including TPM, Kanban, AGV, QCO, waste reduction, and process optimization.
• Develop and implement solutions to improve safety, quality, productivity, cost, and overall manufacturing efficiency.
• Analyze machine capacity, manpower planning, inventory levels, and material flow to optimize operations and support business growth.
• Support digitalization and automation initiatives through data analysis, reporting, and technology deployment.
• Collaborate with ICT teams and global stakeholders to drive TEOA, Continuous Improvement, and Digital Factory initiatives.
• Prepare reports, forecasts, and recommendations to support manufacturing strategy and operational objectives.
• Lead and execute cost reduction, waste reduction, and productivity improvement projects across manufacturing operations.
• Utilize Power BI and data analytics tools to identify improvement opportunities and support data-driven decision-making.
• Provide Continuous Improvement support for manufacturing processes including molding, assembly, BOM, routing and floor layout optimization.

• Bachelor’s degree in industrial engineering or a related field.
• 1-3 years of experience in manufacturing, Continuous Improvement, Industrial Engineering, or Operational Excellence.
• Strong knowledge of Lean Manufacturing, Kaizen, Six Sigma, and problem-solving methodologies.
• Experience in high-volume manufacturing environments, preferably automotive or electronics.
• Good understanding of manufacturing processes, including molding, assembly, BOM, and routing.
• Strong data analytics and reporting skills, preferably using Power BI.
• Fluent English communication skills; Spanish language skills are a plus.
• Experience with SAP, Power Apps, AutoCAD, automation, or digitalization projects is an advantage.
• Six Sigma Green Belt or Black Belt certification is a plus.

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

ABOUT TE CONNECTIVITY

TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more.

• Competitive base salary commensurate with experience: $56,900 - $71,000 (subject to change dependent on physical location)
• Posted salary ranges are made in good faith. TE Connectivity reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as internal and external equity.
• Total Compensation = Base Salary + Incentive(s) + Benefits

• A comprehensive benefits package including health insurance, 401(k), disability, life insurance, employee stock purchase plan, paid time off and voluntary benefits.

EOE, Including Disability/Vets

Job Locations:
509 AIRPARK DR
TULLAHOMA, Tennessee 37388
United States

Posting City: TULLAHOMA

Job Country: United States

Travel Required: None