Intern - Data Analyst

CoherentPine Brook, NJ
Onsite

About The Position

We are seeking a motivated Data Analyst Intern to join our SiC Data Systems team for Summer 2026. The intern will gain experience in real-world manufacturing data analysis, data visualization and data system design, work alongside software / data professionals in a cross-functional setting, and meaningfully contribute to projects that support large-scale manufacturing of the next-generation semiconductor SiC materials.

Requirements

  • Open to currently enrolled students or those who have graduated within one year of the internship start date.
  • Education Level: bachelor’s degree (rising senior) or master’s degree.
  • Majors: Computer Science, Mathematics, Physics, Engineering, or other related STEM fields.
  • Must be US citizen or permanent resident.
  • Excellent written and verbal communication.
  • Team-oriented but able to work independently when needed.
  • Adaptable and eager to learn in a fast-paced environment.
  • Attention to detail and time management.
  • Must be a U.S. Person as defined by ITAR (U.S. Citizen, U.S. Permanent Resident, or protected individual).
  • Compliance with all applicable export control regulations.
  • All employees are required to attend scheduled training, follow the site EHS procedures and II-VI Corporate EHS standards.
  • Ensure adherence to company’s values (ICARE) in all aspects of your position at Coherent Corp.: I ntegrity – Create an Environment of Trust C ollaboration – Innovate Through the Sharing of Ideas A ccountability – Own the Process and the Outcome R espect – Recognize the Value in Everyone E nthusiasm – Find a Sense of Purpose in Work

Nice To Haves

  • Relevant coursework or extracurricular experience in material science or manufacturing is a plus.

Responsibilities

  • Wide project possibilities: manufacturing KPI analysis, automated data visualization, and equipment / human error detection.
  • Guided ownership of entire project pipeline: problem identification, process discovery, solution design, and implementation.
  • Key technological tools include Microsoft Power BI, SQL, Python, and React.js.
  • Close collaboration with software engineers, data scientists, and business stakeholders.
  • By the end of the internship, a prototype of the selected project is expected.
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