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

Description

The company supplies materials science and engineering solutions that underpin almost every new semiconductor chip and advanced display worldwide.

Its equipment helps advance AI and brings next-generation semiconductor chips to market.

You would join the Data Engineering & Analytics team in the company's global services group, which builds enterprise analytics, BI platforms, data products, dashboards and self-service tools that help business leaders make decisions.

During the internship you will learn enterprise data engineering and analytics, BI development, Power BI and Tableau reporting, the Databricks Lakehouse platform, metric governance and KPI management, data quality and governance, reporting automation, AI-assisted analytics and self-service BI, cross-functional work with the business, and analytics product development.

Responsibilities

• Help build and improve Power BI and Tableau dashboards.
• Review business performance data to spot trends, opportunities and insights you can act on.
• Help validate, clean and check the quality of data.
• Write SQL queries that pull, reshape and analyze enterprise data.
• Support metric governance, including KPI definitions and business documentation.
• Help create and maintain analytical datasets in Databricks.
• Take part in reporting automation and self-service analytics work.
• Talk with business stakeholders to learn what they need from reporting and analytics.
• Ask clarifying questions, manage your assigned tasks and flag blockers early.
• Support AI-enabled analytics, such as natural language analytics and data discovery tools.
• Build reports, presentations and visualizations that explain business insights clearly.
• Write up business requirements, data sources, metric calculations and reporting processes.
• Take part in testing and rolling out analytics solutions and dashboard changes.

Requirements

• Basic qualification: know SQL and core database concepts.
• Basic qualification: be familiar with Power BI, Tableau or another data visualization tool. Coursework and personal projects count.
• Basic qualification: show strong analytical and problem-solving skills.
• Basic qualification: communicate, present and collaborate well across teams.
• Basic qualification: understand the basics of data warehousing and data modeling.
• Preferred qualification: pursuing a Master's degree in business analytics, data science, computer science, information systems, statistics, mathematics, engineering or a related field.
• Preferred qualification: exposure to Python, Databricks or a cloud-based analytics platform.
• Preferred qualification: a class project, competition or prior internship where you took a real dataset from start to finish.
• Preferred qualification: ability to learn quickly and work comfortably in a quick-moving environment.
• Preferred qualification: ability to validate data, interpret results carefully and explain insights to technical and non-technical audiences.
• Preferred qualification: genuine interest in data, analytics and business intelligence.
• Preferred qualification: curiosity, ownership, attention to detail and the ability to learn new tools on your own.
• Preferred skills: SQL, Power BI, Tableau, Excel, Databricks, Python, data visualization, data quality and governance, business analysis, AI and analytics technologies.

Conditions

Based in Santa Clara, CA.

Full-time role, with employee type listed as Intern / Student.

No travel required.

Eligible for relocation.

Applications are reviewed on a rolling basis. Apply by December 31, 2026. The role may close early based on application volume or candidate selection.

Pay depends on location, hire grade, job-related knowledge, skills, experience and internal equity with current team members.

For sales roles, the posted salary range is the Target Total Cash range: base salary plus target bonus at 100% goal achievement.

Benefits

• Comprehensive benefits package.
• May be eligible for a bonus and a stock award program, where applicable.
• Programs supporting health and wellbeing at work, at home and beyond.
• Support to learn, develop and grow your career while taking on challenges.