Analytics Strategy Trainee

This is a Full Time Job

Trainee, Insight Strategy & Analytics (AVOD/FAST)

Application Deadline: March 24, 2026

Program Dates: June 1, 8, or 15, 2026 – December 4, 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 Trainee program is designed for recent graduates or those looking to make a career shift, as well as individuals seeking to deepen their professional development through immersing experiences in the entertainment industry.

Responsibilities:
• Support the execution of research and analytics projects by gathering data, running preliminary analyses, and contributing to summaries across audience, content, advertising, and UX initiatives.
• Assist in preparing recurring and ad hoc reports by compiling performance metrics, validating data accuracy, and ensuring timely distribution to stakeholders.
• Help maintain and update dashboards, trackers, and reporting tools to monitor content performance, ad metrics, and platform engagement.
• Conduct competitive scans and basic industry research to identify trends across streaming, AVOD/FAST, and viewer behavior.
• Contribute to clear presentation materials and collaborate with cross-functional teams (data, product, BI, and research) to support testing, documentation, and day-to-day project coordination.

Qualifications:
• Bachelor's Degree in Analytics, Data Science, Statistics, Economics, or a related quantitative field.

Preferred Qualifications
• Master's degree in Analytics, Data Science, Statistics, Economics, or a related quantitative field.
• 1–2 years of experience in media, entertainment, digital platforms, consulting, or analytics-focused roles (internships included).
• Foundational proficiency in SQL, Excel, and data visualization tools (e.g., Tableau or similar BI platforms).
• Basic understanding of quantitative and qualitative research methods, with the ability to translate data into clear insights.
• Strong attention to detail, analytical rigor, and ability to manage multiple assignments in a fast-paced environment.
• Effective written and verbal communication skills, with the ability to contribute to clear, structured presentations.
• Interest in streaming, AVOD/FAST business models, and evolving digital media ecosystems.