Intern, Compensation Analytics, People & Organization
Intern, Compensation Analytics, People & Organization
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1 Vacancy
Job Description
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 (Masters 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.
SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law.
To request an accommodation for purposes of participating in the hiring process you may contact us at
Required Experience:
Intern
Employment Type
Full-Time
