Intern, IT Computer Science - Data Analytics

Overview

Moog is a performance culture that empowers people to achieve great things. Our people enjoy solving interesting technical challenges in a culture where everyone trusts each other to do the right thing. Working with us can mean deeper job satisfaction, better rewards, and a great quality of life inside and outside of work.

Intern, IT Computer Science – Data Analytics

Reports to:

Negotiator, Group

Location:

East Aurora, NY (Onsite)

• Contribute to the preparation and execution of key information technology tasks at Moog.
• Provide technical support to the cost and pricing team as needed.
• Assist with data extraction and validation, dashboard creation, developing and maintaining SharePoint databases and reporting tools, and data analytics projects based on the educational discipline.
• Provide input on project processes, strategies, and execution.
• Operate as a multidisciplinary member of a team of creative, independent individuals.
• Represent Moog in a manner consistent with its technical and professional reputation.

• Enrolled in a Bachelor’s or Master’s degree program in Data Analytics, Data Science, Computer Science, Management Information Systems (MIS), Finance, Statistics, Engineering, or Applied Mathematics.
• GPA of at least 3.0.
• Access to U.S. export‑controlled information is required.
• Ability to relocate for the duration of the internship.
• Professional disposition, effective communication skills, strong desire to learn, positive attitude, and ability to work in a team environment.

• Flexible paid time off, holidays, and relocation assistance.
• Inclusive culture rooted in values, Employee Resource Groups, and team‑building activities.
• Hourly salary range: $23.50–$31.00 (Buffalo, NY).
• Other rewards may include annual bonuses, employee stock purchase plan, open paid time off policy, and many region‑specific benefits.

Moog is an Equal Opportunity Employer and affirms the right of every person to participate in all aspects of employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic.