Summer Intern - Facility Operations Business & Data Analysis
Sony Pictures
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This is a Full Time Paid Internship
Application Deadline: March 24, 2026
Program Dates: June 1, 8, or 15, 2026 – August 28, 2026
Start and end dates are flexible. Interns must be available to work full-time (40 hours/week) in person at the designated office location.
These paid, seasonal assignments deliver meaningful, high-impact work designed to accelerate your growth. You'll take on real responsibilities, build practical skills, and gain exposure to the business through structured learning, executive engagement, and networking opportunities.
Our internship program is designed for students currently enrolled in an accredited college or university, as well as individuals seeking to deepen their education through immersive, professional experience in the entertainment industry.
Responsibilities:
• Assist with data analysis and data cleanup projects.
• Analyze datasets across the department to derive meaningful insights.
• Create comprehensive reports and visualizations.
• Create & maintain documentation for new & existing functions, processes, and workflows.
• Gather functional requirements and writing user stories with business users
• Support project managers, business analysts, developers, and testers as they define, test & deploy functionality for existing & new systems.
• Interview department heads regarding their use of data and requirements for additional reports, etc.
• Enrich and validate multiple data sources to maintain data quality and support the production of new reports and dashboards
• Document the current flow of data, including data exchanged between systems.
• Perform data cleanup.
• Perform QA/QC on code and data
Qualifications:
• Proficiency in Data Analysis and Reporting
• Experience working with large data sets.
• Proficiency in SQL, Tableau, Python, Advanced Excel
• Ability to effectively communicate complex information clearly and concisely and synthesize information and tell data stories
• Skilled at data visualization, creating impactful presentation & deliverables
• Proficiency in Microsoft Office Suite
• Strong Organizational and Analytical skills
• Attention to detail and accuracy.
• Flexible, collaborative, quick learner with a strong proactive work ethic
• Self-starter with passion, energy, enthusiasm, curiosity and a growth mindset
• Aptitude for learning new programs and applications.
Preferred Qualifications
• Understanding of data models (databases, relationships, primary keys, data quality)