Senior Content Valuation & Analytics Analyst

The Walt Disney Company; California; On-site; USD 96,000 - 128,000; Full time

Job summary

The Walt Disney Company, based in Burbank, CA, seeks a Senior Analyst, Content Valuation and Analytics to support the Content Valuation & Analytics team. You will prepare data-driven analyses and quarterly valuations for Disney content across global markets, collaborating with Legal, Finance, Controllership, and Global Content Sales.

Ideal candidates have 2+ years in financial analysis, strong modelling skills, and the ability to work with large datasets in a fast-paced environment.

Qualifications

• Education: BA/BS in business, mathematics, economics, or other quantitative discipline.
• 2+ years of progressive experience in financial analysis, finance, and/or related business field.
• Strong proficiency with Microsoft Office Suite and financial modelling skills.

Responsibilities

• Prepare Disney+ valuations for TV content worldwide, identify primary variance drivers, and distill results into actionable insights for senior management.
• Prepare valuations for TV content domestically across media platforms.
• Curate and synthesize large amounts of data to draw conclusions and make recommendations resulting in actionable insights.
• Review and provide recommendations to refine existing structures and streamline processes.

Skills

Financial analysis

Data analysis

Project management

Stakeholder collaboration

Education

BA/BS in business, mathematics, economics, or other quantitative discipline

Tools

Excel

PowerPoint

Word

Job description

The Walt Disney Company, based in Burbank, CA, seeks a Senior Analyst, Content Valuation and Analytics to support the Content Valuation & Analytics team. You will prepare data-driven analyses and quarterly valuations for Disney content across global markets, collaborating with Legal, Finance, Controllership, and Global Content Sales.

Ideal candidates have 2+ years in financial analysis, strong modelling skills, and the ability to work with large datasets in a fast-paced environment.