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Summer 2027 Global Technical Learning Center Data Analyst Intern- Bachelor's/Master's (Albany, NY)

Albany, NY, US

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Education & alternatives
* ## Use of Copilot/ generative AI /Agentic AI a plus * ## Bachelors or Masters degree students in Computer Science, Data Analytics, Business Analytics, or data engineering discipline Applications will be reviewed on a rolling basis. Please apply by November 30, 2026. Note: This position may close early based on application volume or candidate selection.

Tools in this posting

  • Python
  • SQL
  • Excel
  • Power BI
  • Tableau
Source — Tool mentions in context
* ## Detail-oriented with excellent organizational skills * ## Proficiency in SQL, Excel, Python, PowerBI, Tableau, Powerpoint, etc * ## Use of Copilot/ generative AI /Agentic AI a plus
* ## Analyze trends - use statistical methods to find patterns and answer specific business questions * ## Visualize and present: Develop visualization dashboards or reports using tools such as Power BI, Tableau, Excel to share actionable insights with management and stakeholders for recurring reporting. ##

Job description

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## At Applied Materials, the work we do together advances the world’s technology. Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service manufacturing equipment for the semiconductor and display industries. ## At the Applied Materials Global Technical Learning Center in Albany NY, our expert technical instructors provide technical training for both employees and customers on Applied Materials semiconductor manufacturing systems. Our certified instructors equip individuals with the knowledge and skill required to safely operate and maintain systems through proper workmanship techniques. ## We are seeking a self-motivated and driven Data Analyst Intern to support our team. In this role, you will collect, clean, and analyze complex data sets, transforming them into clear, actionable insights and visual presentations. Your work will help our operations team make informed business decisions by leveraging data and key performance indicators (KPIs) ## ## ## Responsibilities: * ## Gather, Clean and Correct - Use our current digital systems to collect raw data to remove errors and duplicates. Error checking source data to assure the source is true * ## Analyze trends - use statistical methods to find patterns and answer specific business questions * ## Visualize and present: Develop visualization dashboards or reports using tools such as Power BI, Tableau, Excel to share actionable insights with management and stakeholders for recurring reporting. ## ## Key Skills Required: * ## Critical thinking skills and root cause analysis * ## Detail-oriented with excellent organizational skills * ## Proficiency in SQL, Excel, Python, PowerBI, Tableau, Powerpoint, etc * ## Use of Copilot/ generative AI /Agentic AI a plus * ## Bachelors or Masters degree students in Computer Science, Data Analytics, Business Analytics, or data engineering discipline Applications will be reviewed on a rolling basis. Please apply by November 30, 2026. Note: This position may close early based on application volume or candidate selection. ## Qualifications ### Education: ### Skills ### Certifications: ### Languages: ### Years of Experience: ### Work Experience: ## Additional Information ### ### Shift: 10-Day 8-Hr (United States of America) ### ### Travel: Yes, 10% of the Time ### ### Relocation Eligible: No ### 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.

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Location & working pattern

Albany, NY, US

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Work authorization
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.
Status in our records
Active
First seen by us
Sep 5, 2026
Recorded sightings
80
Last seen by us
Oct 8, 2026

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