Data Analytics Internship at Onto Innovation in Milpitas, CA

Summary: Onto Innovation is a leader in process control, combining global scale with an expanded portfolio of leading-edge technologies. The Data Analytics Intern will join the Operations Business Unit to apply data analytics for operational efficiency, working closely with cross-functional teams to analyze data, develop dashboards, and present insights. 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 Required 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 - 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 Preferred Qualifications: - 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 Required Skills: Python, SQL, R, Excel, Data visualization, Statistics, Process analysis, Forecasting, Optimization techniques Benefits: Health, dental, and vision coverage, Life and disability insurance, PTO, 401(k) with employer match, Employee Stock Purchase Program (ESPP), Wellness initiatives