DTC Subscriber Growth & Forecasting Analyst

The Walt Disney Company (France)

New York (NY)

On-site

USD 89,000 - 122,000

Full time

3 days ago
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Job summary

The Walt Disney Company’s Direct-to-Consumer team seeks an Analyst to support Disney+ US/Canada and Hulu subscriber forecasting. You will analyze business trends, develop forecast models, and provide variance insights to leadership.

Responsibilities include building presentations, collaborating with Revenue Planning, Product, Marketing, and other groups, and driving data-driven recommendations in a fast-paced environment.

Qualifications

  • 0–2 years of strategy or finance experience at a top-tier tech/media firm, consultancy, or investment bank/private equity.
  • Strong analytical capabilities and financial modeling skills (Excel).
  • Experience with large data sets and analytical tools beyond Excel (R, Python, SQL) is a plus.
  • Excellent verbal and written communication, including PowerPoint.
  • Ability to collaborate across multiple teams and juggle tasks.

Responsibilities

  • Manage and enhance the Disney+ and Hulu subscriber forecast process and underlying assumptions.
  • Lead and support ad hoc analysis to highlight KPI trends, opportunities/risks, and size new offerings.
  • Create presentation materials (decks, notes, write-ups) for senior leadership.
  • Serve as a liaison for operations teams to align on KPIs and assumptions.
  • Move between research projects to inform senior decision-making.

Skills

Analytical skills
Excel modeling
SQL
Python
R
PowerPoint
Teamwork
Communication

Education

Bachelor’s degree in Finance or Economics

Tools

SQL
Python
R

Job description

The Walt Disney Company’s Direct-to-Consumer team seeks an Analyst to support Disney+ US/Canada and Hulu subscriber forecasting. You will analyze business trends, develop forecast models, and provide variance insights to leadership.

Responsibilities include building presentations, collaborating with Revenue Planning, Product, Marketing, and other groups, and driving data-driven recommendations in a fast-paced environment.

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