Talent & Growth Ops Intern: Learn, Analyze & Impact

1954 Disney HR Strategies & Services, LLC

Burbank (CA)

On-site

USD 30,000 - 34,000

Full time

2 days ago
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Job summary

The Walt Disney Company in Burbank, CA is offering a Talent & Growth Planning & Operations Intern position for Spring 2027. This full-time six-month role focuses on coordinating high-impact learning sessions, maintaining class data in D Learn, and leveraging data to inform stakeholders and improve practices.

Ideal candidates are enrolled in a university, comfortable with AI tools, and able to work ~40 hours weekly on-site with some remote work.

Qualifications

  • Be enrolled in an accredited college/university pursuing a degree taking at least one class at time of application posting.
  • Must be at least 18 years old and have unrestricted work authorization.
  • Available to work full-time hours (≈40 hours/week) for the duration of the internship (Jan–June 2027).
  • On-site position in Burbank, CA with reliable internet for remote days.
  • Prior experience with data, admin tasks, and learning programs is a plus.

Responsibilities

  • Coordinate logistics for learning sessions, enrollments, and participant communications.
  • Research and implement AI tools to streamline workflows and boost efficiency.
  • Provide admin support and maintain class data in the Learning Management System (D Learn).
  • Leverage data to tell the story of experiences to stakeholders and guide best practices.
  • Travel locally between Burbank and Glendale to set up and tear down in-person sessions.

Skills

Data analysis
Project management
Communication
Attention to detail
Collaboration

Education

Currently enrolled in university

Tools

Microsoft Word
Microsoft Excel
Airtable
Salesforce Marketing Cloud

Job description

The Walt Disney Company in Burbank, CA is offering a Talent & Growth Planning & Operations Intern position for Spring 2027. This full-time six-month role focuses on coordinating high-impact learning sessions, maintaining class data in D Learn, and leveraging data to inform stakeholders and improve practices.

Ideal candidates are enrolled in a university, comfortable with AI tools, and able to work ~40 hours weekly on-site with some remote work.

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