Who We Are

Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology. 

What We Offer

Location:

You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. 

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits. 

TEAM OVERVIEW:

Join the AGS Data Engineering & Analytics (DEA) team and help drive data-driven decision making across Applied Global Services. Our team develops enterprise analytics solutions, business intelligence platforms, data products, dashboard reporting, and self-service analytics capabilities that enable business leaders to make informed decisions.

KEY RESPONSIBILITIES:

• Support the development and enhancement of Power BI and Tableau dashboards.
• Analyze business performance data to help identify trends, opportunities, and actionable insights.
• Assist with data validation, cleansing, and quality assurance activities.
• Develop SQL queries to extract, transform, and analyze enterprise data.
• Support metric governance activities, including KPI definitions and business documentation.
• Assist in the creation and maintenance of analytical datasets within Databricks.
• Participate in reporting automation and self-service analytics initiatives.
• Work with business stakeholders to understand their reporting and analytics requirements.
• Ask clarifying questions, manage assigned tasks, and raise blockers early to keep work moving.
• Support AI-enabled analytics initiatives, including natural language analytics and data discovery solutions.
• Create reports, presentations, and visualizations that communicate business insights clearly.
• Document business requirements, data sources, metric calculations, and reporting processes.
• Participate in the testing and deployment of analytics solutions and dashboard enhancements.

Basic Qualifications

• Currently pursuing a Master's degree (preferred) in Business Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, Engineering, or a related field.
• Knowledge of SQL and core database concepts.
• Familiarity with Power BI, Tableau, or another data visualization tool. Coursework and personal projects count.
• Strong analytical and problem-solving skills.
• Strong communication, presentation, teamwork, and cross-functional collaboration skills.
• Basic understanding of data warehousing and data modeling concepts.

Preferred Qualifications

• Exposure to Python, Databricks, or a cloud-based analytics platform.
• A class project, competition, or prior internship where you analyzed a real dataset from start to finish.
• Ability to learn quickly and work comfortably in a fast-paced environment.
• Ability to validate data, interpret results carefully, and communicate insights clearly to technical and non-technical audiences.
• Genuine interest in data, analytics, and business intelligence.
• Curiosity, ownership, attention to detail, and the ability to learn new tools independently.

Preferred Skills

• SQL
• Power BI
• Tableau
• Excel
• Databricks
• Python
• Data visualization
• Data quality and governance
• Business analysis
• AI and analytics technologies

What You Will Learn

During the internship, you will gain exposure to:

• Enterprise data engineering and analytics
• Business intelligence development
• Power BI and Tableau reporting
• Databricks Lakehouse platform
• Metric governance and KPI management
• Data quality and data governance
• Reporting automation
• AI-assisted analytics and self-service BI
• Cross-functional business collaboration
• Analytics product development

Applications will be reviewed on a rolling basis. Please apply by December 31, 2026. Note: This position may close early based on application volume or candidate selection. 

Additional Information

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Employee Type:

Travel:

Relocation Eligible:

The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.

For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at [email protected], or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.