Continuous Improvement Intern

Description

• Assist with Continuous Improvement projects across the organization.
• Collect, organize, and analyze operational data.
• Create and update process maps (VSMs), standardized work, and visual management tools.
• Support KPI tracking and dashboard updates.
• Participate in Kaizen events and problem-solving activities.
• Identify opportunities to improve safety, quality, delivery, and productivity.
• Document project progress, action items, and results.
• Collaborate with cross-functional teams to support improvement initiatives.
• Prepare presentations and reports for project updates.
• Learn and apply Lean and Continuous Improvement principles.
• Demonstrates Sound Off Signal's Core Values in daily interactions with internal and external customers.
• Able to perform job consistently without excessive absenteeism or tardiness.
• Other duties as assigned.

• Basic understanding of manufacturing processes and production environments
• Familiarity with lean manufacturing concepts such as time studies, line balancing, and 5S principles
• Strong analytical and problem-solving skills
• Ability to collect, analyze, and document operational data
• Strong organizational skills and attention to detail
• Effective written and verbal communication skills
• Ability to collaborate with cross-functional teams across engineering, manufacturing, and operations
• Must be proficient & knowledgeable with Microsoft Office programs (Word, Excel, PowerPoint)
• Must be detail oriented and well organized
• Ability to work in-person during the summer

• Able to lift up to 35 lbs
• Able to stand and sit for various lengths of time
• Able to bend/twist and reach a limited amount of time

• Mix of office and production floor environment including:
• Little to Medium noise level
• Moderate temperature ranges

• (Education, Experience, and Certification)
• Currently pursuing a Associates or Bachelor's degree in Business, Engineering, or related field.
• Previous coursework or project experience related to manufacturing, production systems, or engineering analysis preferred.