Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Production Engineering Intern

Job

Advantest

South Plainfield, NJ (In Person)

Full-Time

Posted 5 weeks ago (Updated 6 days ago) • Actively hiring

Expires 8/2/2026

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
58
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Support pre-production and post-production processes, including organizing assets, preparing materials, and updating project trackers. Gather, clean, and organize production-related data from various sources (e.g., performance metrics, workflow logs, content outputs). Perform exploratory data analysis to identify trends, inefficiencies, or opportunities for optimization. Build simple dashboards or reports to visualize key insights for the production team. Maintain accurate and up-to-date datasets to support decision-making. Analyze production timelines, resource utilization, and throughput to identify bottlenecks and areas for improvement. Provide weekly or monthly summaries of production performance metrics Assist in developing data-driven recommendations to improve efficiency, quality, or output consistency. Maintain organized records and documentation for all assigned tasks.
Requirements:
Working toward a degree with a mechanical or industrial engineering background Basic proficiency in data analysis tools such as Excel, Google Sheets, or similar platforms. Familiarity with analytics or visualization tools (e.g., Tableau, Power BI) is a plus. Exposure to programming or scripting languages (Python, R, SQL) is helpful but not required. Comfortable working with datasets, performing basic cleaning, and generating simple reports.