About The Position

Applied Materials is seeking a master's-level 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 capabilities to support data-driven decisions across Applied Global Services. The intern will help develop and enhance Power BI and Tableau dashboards, analyze business performance data, and support data validation, cleansing, and quality assurance. The role includes writing SQL queries, helping maintain analytical datasets in Databricks, supporting KPI and metric governance, and contributing to reporting automation and self-service analytics. The intern will work with business stakeholders to understand reporting needs, document requirements and processes, and participate in testing and deploying analytics solutions. The position also supports AI-enabled analytics initiatives, including natural language analytics and data discovery. The internship offers exposure to enterprise data engineering and analytics, business intelligence development, the Databricks Lakehouse platform, metric and data governance, reporting automation, AI-assisted analytics, cross-functional collaboration, and analytics product development. Applications are reviewed on a rolling basis; applicants are encouraged to apply by December 31, 2026. The position may close earlier depending on application volume or candidate selection. It is full-time, has no travel requirement, and is relocation-eligible.

Requirements

  • Currently pursuing a master's degree 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 end-to-end analysis of a real dataset.
  • 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.
  • Skills in SQL, Power BI, Tableau, Excel, Databricks, Python, data visualization, data quality and governance, business analysis, or 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.
  • Develop SQL queries to extract, transform, and analyze enterprise data.
  • Support metric governance activities, 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 deploying analytics solutions and dashboard enhancements.

Benefits

  • Comprehensive benefits package.
  • Candidates may be eligible for participation in a bonus and a stock award program, as applicable.
  • Supportive work culture that encourages learning, development, and career growth.
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