Senior Revenue Forecasting Analyst (Streaming)

The Walt Disney Company

Santa Monica (CA)

On-site

USD 113,000 - 155,000

Full time

14 days+
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Benefits offered by this job

Bonus potential
Medical benefits
Long-term incentive units

Job summary

The Walt Disney Company, Disney Entertainment division, is seeking a Revenue Planning Analyst for a 12‑month assignment in Santa Monica, CA. You will support domestic streaming revenue forecasting, analyze large datasets, and prepare materials for executive leadership to drive accurate projections.

Ideal candidates have 2+ years in finance or strategy within a tech/media firm, strong Excel modeling, and excellent communication skills for presenting complex insights to senior leaders.

Qualifications

  • Bachelor's degree in Finance, Economics or related field.
  • 2+ years of finance or strategy experience at a top-tier tech/media/consulting/PE firm or Big 4.
  • Strong analytical capabilities and financial modeling skills (MS Excel).
  • Strong verbal and written communication skills (PowerPoint) for executive audiences.
  • Ability to work well in teams across groups and juggle multiple tasks.

Responsibilities

  • Assist with domestic revenue forecast activities, analyzing large datasets and updating models.
  • Maintain internal revenue KPI database and support ad-hoc analyses of deals, trends, and performance.
  • Develop impactful presentation materials to communicate projections, drivers, risks and opportunities to executives.
  • Collaborate with finance partners to improve forecasting and reporting processes.

Skills

Financial analysis
MS Excel
PowerPoint
Financial modeling
Communication skills

Education

Bachelor's degree in Finance, Economics or related

Tools

Excel

Job description

The Walt Disney Company, Disney Entertainment division, is seeking a Revenue Planning Analyst for a 12‑month assignment in Santa Monica, CA. You will support domestic streaming revenue forecasting, analyze large datasets, and prepare materials for executive leadership to drive accurate projections.

Ideal candidates have 2+ years in finance or strategy within a tech/media firm, strong Excel modeling, and excellent communication skills for presenting complex insights to senior leaders.

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