Summer 2026 Internship – Data and Research

Job Description

Summer 2026 Internship – Data and Research | Vevo

The Tone:
This is a part-time Hybrid internship at Vevo for Summer 2026. Vevo is a global music video network providing high-quality music content, official videos, live performances, and original programming. This role supports data-informed decision-making and delivers data-driven audience and content stories to advertisers, helping to position music videos at the center of culture. This position is a paid opportunity for qualified students to gain hands-on experience within the media and entertainment industry.

The TL;DR
• Role: Internship
• Type: Part-time Hybrid
• Location: Hybrid
• Pay: $20 hourly
• Team: Data and Research team, supporting the Data Analytics Team and Insights Team
• Mission: To support data-informed decision-making and deliver data-driven audience and content stories to advertisers.
• Tech Stack: PowerPoint, Excel, Google Suite (Docs, Sheets), SQL, Python, BI tools

What You’ll Actually Do
• Reporting: Support reporting, data visualization, and presentation building focused on music video viewership trends and content engagement.
• Collaboration: Collaborate with internal teams to identify new ad product solutions and business opportunities to meet client needs.
• Project Support: Assist the team on various data analytics, market research, and insights projects.
• Communication: Translate complex analysis into concise stories for internal stakeholders and clients, explaining audience viewing patterns.
• Automation: Explore AI tools to automate data workflows within the team.

The Must-Haves
• Background: Rising Senior currently enrolled in an accredited college or university, with a desire to pursue a career in the media industry.
• Experience: Strong interest in the music and advertising industry, and availability for 30 hours per week from June 8th to July 31, 2026.
• Skills: Proficient in PowerPoint, Excel, and Google Suite; Knowledge of SQL, data structures, and analysis techniques; Knowledge of Python for data manipulation and basic statistical model building; Excellent communication, interpersonal, and organizational skills; Strategic thinker.
• Bonus: Ability to learn new tools/applications and interpret data sets; Eager to work with BI tools to help build data insights and analysis.