Operations Analytics Intern: Drive Data-Driven Impact

Applied Materials, Inc.; Santa Clara (CA); On-site; USD 30,000 - 48,000; Full time

Job summary

Applied Materials is seeking an Intern with programming experience to analyze workflows, build tools and dashboards, and support data-driven decision making in a fast-paced environment. You will translate data into actionable recommendations and contribute to business process optimization.

You will collaborate with cross-functional teams, automate data collection and reporting, and develop practical solutions using Python, VBA, and Excel to support strategic decisions.

Qualifications

• Pursuing BS in Business/Management Science, Industrial Engineering, Data Science, Computer Science or related field.
• Experience with programming or data tools (e.g., Python, VBA, or similar).
• Strong communication skills and the ability to translate data into actionable recommendations.

Responsibilities

• Analysis of big data to generate insightful reports and visualizations
• Collaborate with cross functional teams to gather and interpret business requirements
• Develop and maintain automate processes for data collection and analysis
• Identify trends in data to provide actionable insights
• Support decision making processes by conducting thorough data analysis and presenting findings
• Manage key metrics reporting for organization

Skills

Analytical thinking

Communication skills

MS Office Suite

Education

Pursuing BS in Business/Management Science, Industrial Engineering, Data Science, Computer Science or related field

Tools

Python

R

VBA

Tableau

Job description

Applied Materials is seeking an Intern with programming experience to analyze workflows, build tools and dashboards, and support data-driven decision making in a fast-paced environment. You will translate data into actionable recommendations and contribute to business process optimization.

You will collaborate with cross-functional teams, automate data collection and reporting, and develop practical solutions using Python, VBA, and Excel to support strategic decisions.