Engineering Intern, Continuous Improvement
Tetra Pak
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- Lean / Six SigmaOperationsData visualizationData analysisProject managementBusiness analysis
- Work
- On-site in Vancouver · internship
- Pay
- Not stated by the employer.
- Skill demand
- Operations48%Data analysis9%Lean / Six Sigma5%Data visualization5%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 12, 2026 · still open
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About the Role
This is a short-term internship focused on Engineering, based in Vancouver, WA, from May 31, 2027, to November 19, 2027. It is full-time until mid-August, then part-time up to 20 hours/week.
Key Responsibilities
As a Continuous Improvement & Lean Manufacturing Analyst intern, you will:
- Develop and improve digital solutions for loss identification and analysis.
- Engage in WCM governance and continuous improvement initiatives.
- Develop training plans and procedures.
- Ensure training compliance for new hires and internal bids/transfers.
- Support WCM and Education & Training (E&T) projects and activities.
- Work on projects that improve operational efficiency, reduce losses, and support continuous improvement across the plant.
- Gain exposure to shop floor operations and data-driven decision making.
- Identify and eliminate operational losses.
- Improve process stability.
- Support performance tracking.
- Sustain improvement initiatives in a fast-paced manufacturing environment.
- Participate in Kaizen activities, WCM pillar initiatives, and cross-functional improvement projects.
Typical deliverables include data analysis reports, loss and performance dashboards, root cause investigations, continuous improvement project support, process documentation, and presentations summarizing findings and recommendations.
Requirements & Tech Stack
- Interest in continuous improvement methodologies and project management.
- Ideally some manufacturing experience.
- Sustainability knowledge a plus.
Qualifications
- Suggested majors: Industrial Engineering, Business Analytics, Production and Operation Management, Manufacturing Engineering, Data Analytics (with an interest in manufacturing/operations), Information Technology and/or Information Systems.