Summer 2027 Business Intelligence Analyst Intern- Master's (Santa Clara, CA)

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.

## Qualifications

### Education:

Master's Degree

### Skills

### Certifications:

### Languages:

### Years of Experience:

### Work Experience:

## Additional Information

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### Shift:

10-Day 8-Hr (United States of America)

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### Travel:

No

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### Relocation Eligible:

Yes

### Referral Payment Plan:

None

Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All 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.