Part-Time Data Analyst Intern (Teradyne, North Reading)

Our Purpose  

 

TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day. 
 
We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results. 
 
 

Opportunity Overview 

We are seeking a motivated and detail-oriented part-time Data Analyst Intern to help design and develop a data visualization and analysis tool that connects factory and field data sources. This role is a unique opportunity to gain hands-on experience in data integration, visualization, and analysis, while contributing to improve the quality of Teradyne’s semiconductor installations. The internship duration is spring 2025 (February through May).

 

Key Responsibilities:

 

• Collaborate with cross-functional teams to understand data sources, requirements, and objectives.
• Design and implement a data visualization and analysis tool to identify trends, correlations, and actionable insights.
• Collect, clean, and integrate data from multiple sources, including factory operations and field performance databases.
• Develop interactive dashboards and reports using visualization tools Power BI or Tableau.
• Perform data analysis to uncover patterns, optimize processes, and support decision-making.
• Document methodologies, tools, and processes for knowledge sharing and future reference.
• Present findings and tool prototypes to stakeholders for feedback and refinement.

 

 
All About You 

We seek individuals who share our passion and determination. Our commitment to customer success drives us to go the extra mile. If you’re ready to join us in this mission, take a closer look at the minimum criteria for the position.

 

• Currently pursuing a degree in Data Science, Computer Science, Engineering, or a related field. Ideally the candidate will be enrolled in a Data Analytics program at the University of New Hampshire.
• Proficiency in data analysis tools
• Familiarity with data visualization tools (e.g., Tableau, Power BI, or similar).