Data Analytics Internship

Onto InnovationMilpitas, CA

About The Position

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.

Requirements

  • 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
  • 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

Nice To Haves

  • 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

Responsibilities

  • 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

Benefits

  • health, dental, and vision coverage
  • life and disability insurance
  • PTO
  • 401(k) with employer match
  • Employee Stock Purchase Program (ESPP)
  • wellness initiatives
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service