Applied Materials Hiring Data Analytics Intern

Who We Are

Applied Materials is a global leader in materials science and engineering solutions. Its equipment sits at the foundation of nearly every new semiconductor chip and advanced display in the world. The equipment the company creates and services is essential to advancing AI and accelerating next-generation semiconductor chips. Teams here push the boundaries of materials science and engineering in a company at the core of the electronics industry.

What We Offer

You will work in a supportive culture that encourages you to learn, develop, and grow your career while taking on challenges and driving innovative solutions for customers. The company empowers its team to push the boundaries of what is possible while learning every day at a leading global company.

Applied Materials also cares about the health and wellbeing of its employees, with programs and support for personal and professional growth, both at work and at home.

The Role

The company is looking for a motivated and analytical intern to support strategic business operations, process improvement, and data analytics initiatives. This role suits a student pursuing a degree in Industrial Engineering or another engineering discipline who enjoys using data to solve business problems, improve operational performance, and support data-driven decisions.

The intern will work with cross-functional teams to analyze business processes, develop insights from enterprise data, and support work on forecasting, productivity, business intelligence, and operational excellence.

Key Responsibilities

• Gather, clean, analyze, and interpret data from multiple business systems and data sources.
• Build dashboards, reports, and visualizations that communicate business performance and trends.
• Support forecasting, planning, and operational improvement initiatives.
• Analyze business processes to find opportunities for automation, efficiency gains, and waste reduction.
• Document current and future-state workflows, requirements, and process maps.
• Assist with business intelligence projects using data analytics tools and reporting platforms.
• Perform root cause analysis and develop recommendations to improve operational effectiveness.
• Collaborate with stakeholders across Operations, Finance, Customer Success, Sales Operations, and Product teams.
• Present findings and recommendations to project teams and leadership.

Required Qualifications

• Currently pursuing a Bachelor's or Master's degree in Industrial Engineering/Operations Research, Mechanical Engineering, Systems/Computer Engineering, or another engineering discipline with a clear interest in data analytics.
• Strong analytical and problem-solving skills.
• Proficiency with Microsoft Excel, including formulas, pivot tables, and data analysis.
• Ability to work independently and manage multiple priorities.
• A curious mindset and a desire to learn new technologies and business processes.

Preferred Qualifications

• Experience with data visualization tools such as Power BI, Tableau, or similar platforms.
• Familiarity with data querying concepts.
• Coursework or experience in Data Analytics, Process Improvement, Lean Manufacturing/Six Sigma, Operations Research, or Business Intelligence.
• Experience with Python, R, or other analytics tools.
• Knowledge of process mapping and continuous improvement methodologies.

What You Will Gain

• Exposure to real-world business operations and strategic decision-making.
• Hands-on experience with enterprise data and analytics platforms.
• The chance to lead and present a meaningful project with measurable business impact.
• Mentorship from experienced operations, program management, and analytics professionals.
• Experience collaborating across multiple business functions in a global technology organization.

Desired Candidate Profile

The ideal candidate enjoys turning data into actionable insights, questions assumptions, and takes initiative to find process improvement opportunities. They are comfortable working with data, business stakeholders, and operational challenges, and are excited to apply engineering principles to complex business problems.

This is a full-time Spring Co-op or Summer Internship. The role is on-site in Austin, TX. Applications are reviewed on a rolling basis, and the position may close early based on application volume or candidate selection. Please apply by December 30, 2026.