Data Analytics Internship

Onto Innovation is a leader in process control, combining global scale with an expanded portfolio of leading-edge technologies that include: 3D metrology spanning the chip from nanometer-scale transistors to micron-level die-interconnects; macro defect inspection of wafers and packages; metal interconnect composition; factory analytics; and lithography for advanced semiconductor packaging. Our breadth of offerings across the entire semiconductor value chain helps our customers solve their most difficult yield, device performance, quality, and reliability issues. Onto Innovation strives to optimize customers’ critical path of progress by making them smarter, faster and more efficient.

Job Summary & Responsibilities

The Data Analytics Intern will join Onto’s Operations Business Unit and work closely with cross‑functional teams including manufacturing, supply chain, quality, and operations leadership. This role is ideal for a highly motivated student interested in applying data analytics to drive operational efficiency, visibility, and data‑driven decision‑making.

• Analyze operational data to identify trends, inefficiencies, and improvement opportunities across manufacturing and supply chain processes

• Develop dashboards, reports, and analytical tools to support operational KPIs and business reviews

• Collect, clean, and validate data from multiple sources to ensure accuracy and consistency

• Apply statistical methods and data visualization techniques to communicate insights effectively

• Partner with operations stakeholders to define business problems and translate them into analytical solutions

• Prototype and implement data models or automation solutions that improve reporting, forecasting, or process performance

• Document methodologies, assumptions, and findings, and present results to technical and non‑technical audiences

Qualifications

• Undergraduate student in Data Analytics, Industrial Engineering, Operations Research, Computer Science, Business Analytics, or a related quantitative discipline

• Strong programming or analytical skills in Python, SQL, R, and/or Excel

• Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) is a plus

• Exposure to statistics, process analysis, forecasting, or optimization techniques is a plus

• Ability to think analytically and approach ambiguous operational problems with structure and creativity

• Strong attention to detail and intellectual rigor when working with data

• Demonstrated curiosity and willingness to learn new tools, systems, and business processes

• Effective communication skills with the ability to clearly present insights and recommendations to operations stakeholders

Why Join Onto Innovation?

At Onto Innovation, we believe your work should matter—and so should your well-being. That’s why we offer competitive salaries and a comprehensive benefits package designed to support you and your family. From health, dental, and vision coverage to life and disability insurance, PTO, and a 401(k) with employer match, we’ve got you covered. You’ll also enjoy access to our Employee Stock Purchase Program (ESPP), wellness initiatives, and cutting-edge tools—all within a collaborative, inclusive culture where your contributions are valued and recognized.

Compensation & Growth

• Base Salary Range:

$ - $, offered in good faith and based on experience, location, and qualifications.

• Additional Rewards: Annual bonus opportunities and potential long-term incentives tied to both company and individual success.

Empowering Every Voice to Shape the Future:

Onto Innovation is committed to creating a workplace where every qualified candidate has an equal opportunity to succeed. We evaluate applicants based on skills, experience, and potential - without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, veteran status, or any other characteristic protected by law. We believe diversity of thought and background drives innovation and strengthens our team.

Important Note on Export Compliance

For certain positions requiring access to technical data, U.S. export licensing review may be necessary for applicants who are not U.S. Citizens, Permanent Residents, or other protected persons under 8 U.S.C. 1324b(a)(3).