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

Applied Materials•Santa Clara, CA

About The Position

Applied Materials is seeking a Business Intelligence Analyst Intern for its AGS Data Engineering & Analytics team in Santa Clara, California. The team develops enterprise analytics solutions, business intelligence platforms, data products, dashboard reporting, and self-service analytics to support data-driven decision-making across Applied Global Services. The intern will support the development and enhancement of Power BI and Tableau dashboards; analyze business performance data; assist with data validation, cleansing, and quality assurance; write SQL queries; and help maintain analytical datasets in Databricks. The role also contributes to metric governance, reporting automation, self-service analytics, and AI-enabled analytics initiatives. The intern will work with business stakeholders to understand requirements, document data and reporting processes, communicate insights through reports and visualizations, and participate in testing and deploying analytics solutions. The internship offers exposure to enterprise data engineering and analytics, BI development, Databricks, KPI management, data governance, reporting automation, AI-assisted analytics, cross-functional collaboration, and analytics product development. Applications are reviewed on a rolling basis; apply by December 31, 2026. The position may close earlier based on application volume or candidate selection.

Requirements

Currently pursuing a master's degree, preferably 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.

Nice To Haves

Exposure to Python, Databricks, or a cloud-based analytics platform.
A class project, competition, or prior internship involving analysis of 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 ability to learn new tools independently.
Preferred skills: SQL, Power BI, Tableau, Excel, Databricks, Python, data visualization, data quality and governance, business analysis, and AI and analytics technologies.

Responsibilities

Support the development and enhancement of Power BI and Tableau dashboards.
Analyze business performance data to 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, including KPI definitions and business documentation.
Assist in creating and maintaining analytical datasets within Databricks.
Participate in reporting automation and self-service analytics initiatives.
Work with business stakeholders to understand reporting and analytics requirements.
Ask clarifying questions, manage assigned tasks, and raise blockers early.
Support AI-enabled analytics initiatives, including natural language analytics and data discovery solutions.
Create reports, presentations, and visualizations that clearly communicate business insights.
Document business requirements, data sources, metric calculations, and reporting processes.
Participate in testing and deployment of analytics solutions and dashboard enhancements.