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Our Emerging Talent Programs, which includes Interns, Trainees, and Finance Rotational Associates, offer unique opportunities for students, recent graduates, and emerging talent to work alongside the teams that come together to create movies, TV shows, and other great experiences. These seasonal, paid assignments provide meaningful and productive work that builds on your experience and develops your skills further. You will be provided with challenging tasks, real-world experience, and many educational and social networking opportunities.

This Fall Internship is from September through December 12th (start and end dates are flexible based on school schedules) and all candidates must be able to work 10-29 hours/week, in person in the specified office location. This position is ideal for a student enrolled in an accredited college or university interested in continuing their education through professional experience.

RESPONSIBILITIES:

+ Data Cleaning & Preparation:

+ Assist in cleaning, validating, and transforming compensation-related datasets to ensure accuracy and consistency.

+ Use Excel (pivot tables, XLOOKUP, Power Query, etc.) to manipulate and analyze data efficiently.

+ Support data extraction and integration from Workday and other internal systems.

+ Data Maintenance:

+ Help maintain compensation data repositories and ensure timely updates to key datasets.

+ Support the documentation of data sources, definitions, and processes.

+ Dashboard & Reporting Support

+ Assist in building and maintaining dashboards and reports using Excel and/or Tableau.

+ Update recurring reports and contribute to the development of new visualizations to support compensation insights.

+ AI Research & Applications

+ Conduct exploratory research on AI tools and techniques applicable to compensation analytics (e.g., Total Rewards-specific chatbot, job classification, automation).

+ Support pilot projects involving AI/ML applications, including data preparation and result interpretation.

+ Learning & Development

+ Gain exposure to compensation strategy, HR systems (Workday), and analytics best practices.

+ Participate in team meetings, training sessions, and mentorship opportunities.

QUALIFICATIONS:

The ideal candidate has a solid grasp of how data works. From raw collection to clean usable insights, they understand data pipelines, ETL processes, and how to structure data for analysis. Further qualifications include:

+ Currently pursuing or recently completed a degree in Data Science, Analytics, Computer Science, or a related field (Master’s Level preferred).

+ Strong proficiency in Excel.

+ Experience with dashboard creation in Tableau.

PREFERRED QUALIFICATIONS:

+ Experience or interest in Python for data analysis.

+ Familiarity with foundational AI and machine learning concepts.

+ Familiarity with Workday or other HRIS platforms.

Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics. To request an accommodation for purposes of participating in the hiring process, you may contact us at [email protected].