Intern - Business Intelligence

Nintendo•Redmond, WA
•Onsite

About The Position

Nintendo of America’s Business Intelligence intern contributes to maintaining the enterprise data warehouse that powers data platforms, pipelines, reporting, and analytics. The intern builds cloud-native ETL pipelines and documented data marts with automated alerts and standardized data definitions; partners with stakeholders to create visualizations and alerts; and analyzes data to recommend workflow improvements and apply AI to enhance predictive capabilities. The internship runs for 10 weeks from June 14 through August 20, with a 40-hour workweek onsite in Redmond, Washington. Interns gain hands-on work experience and receive mentoring, networking opportunities, and exposure to industry leaders. The application deadline is December 1, 2026.

Requirements

  • Have a GPA of 3.0 or higher.
  • Be currently enrolled in an accredited college or university, with a graduation conferral date between May 2027 and June 2028.
  • Pursue a degree in Computer Science, Industrial Engineering, Informatics, Data Science, Statistics, Supply Chain Management, Mathematics, Physics, or a related field.
  • Have experience using SQL and/or Python for relational data management, analysis, and modeling.
  • Have strong communication and collaboration skills for working with cross-functional stakeholders.
  • Be proficient with Microsoft Office Suite: Outlook, Word, Excel, and PowerPoint.
  • Be legally authorized to work in the United States; visa sponsorship is not available.
  • Be able to work 40 hours a week onsite throughout the 10-week summer internship.

Nice To Haves

  • Familiarity with data visualization tools; Tableau is preferred.

Responsibilities

  • Contribute to maintaining the enterprise data warehouse that powers data platforms, pipelines, reporting, and analytics.
  • Build cloud-native ETL pipelines and documented data marts with automated alerts and standardized data definitions.
  • Partner with stakeholders to create visualizations and alerts that streamline work.
  • Analyze data to recommend workflow improvements that accelerate delivery.
  • Apply AI to enhance predictive capabilities.

Benefits

  • Paid sick time
  • Paid holiday time
  • Local transit pass
  • Access to the onsite fitness center
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