Summer Intern - Insights, Strategy & Analytics

This is a Full Time Paid Internship

Key Responsibilities
• Support the development of dashboards and internal tools used by TV Production teams to streamline workflows, budgets, and predictive models
• Partner with data scientists and engineers to document product requirements and prioritization of features
• Write clear, structured technical documentation for data products, workflows, and systems
• Assist in prompt engineering and testing for AI-driven tools and workflows
• Evaluate datasets for quality, usability, and business relevance
• Help design and execute product UAT testing, including gathering user feedback and iterating on features
• Translate business needs into data product use cases and specifications
• Work with product managers and team members to generate user guides and instructions

Qualifications
• Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Business Analytics, Economics, or a related field
• Strong analytical thinking and problem-solving skills
• Interest in product management, data products, and media/entertainment
• Familiarity with data visualization tools (e.g., Tableau, Power BI, or similar)
• Basic understanding of SQL and/or Python
• Strong written communication skills, especially for technical documentation
• Exposure to AI/LLMs or prompt engineering is a plus
• Ability to work cross-functionally and communicate with both technical and non-technical stakeholders

Preferred Qualifications
• Experience working on data products, dashboards, or analytics projects
• Proactive self-starter, with the ability to work with ambiguity and seek clarity
• Interest in television production, streaming, or media analytics

What You'll Gain
• Hands-on experience building real-world data products in a major entertainment studio
• Exposure to how data science supports creative and production decisions
• Experience working with cross-functional teams in a fast-paced, collaborative environment
• Mentorship from experienced professionals in data, product, and strategy