Data Analyst - Observational Causal Inference at Disney
Santa Monica, California, USA -
Full Time


Start Date

Immediate

Expiry Date

03 Dec, 25

Salary

99900.0

Posted On

03 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

Job ID 10129582 Location Santa Monica, California, United States / Glendale, California, United States / San Francisco, California, United States / New York, New York, United States Business Disney Direct to Consumer Date posted Sep. 02, 2025

JOB SUMMARY:

The Direct to Consumer Data & Analytics organization is seeking a Decision Analyst who will be an exceptional addition to our Strategic Forecasting & Decision Analytics team. As Decision Analyst, you will join our team that applies analytical rigor to optimize strategic decisions based on decision and data science principles. Projects include strategic decision support, content portfolio management, merchandising, acquisition & licensing, release strategy optimization, and churn & subscriber health. The right person for this role has exceptional analytical capabilities, thrives in a fast-paced environment, loves problem-solving, is a strong communicator, and is passionate about television and film. We are searching for someone who gains personal satisfaction from utilizing data to drive business decisions and is eager to learn.

Responsibilities
  • Apply advanced analytics techniques (data mining, data visualization, statistical analysis, causal inference, regression, machine learning, time-series forecasting) to large-scale, high-dimensional data in order to inform global business decisions
  • Analyze customer behavior (e.g., genre preferences, viewing patterns) to identify unmet customer needs and untapped content opportunities
  • Use advanced causal inference methodologies to quantify engagement and overall impact of sharing title licenses with internal and external platforms
  • Predict content engagement to help guide acquisition decisions
  • Optimize our content launch and episode release strategy
  • Test merchandising strategies to optimize engagement and retention
  • Ideate and develop new metrics and KPIs, measuring content performance, engagement and churn for strategic decision-making
  • Support complex projects, workstreams, and new initiatives & capabilities. This includes scoping out the breadth & depth of a project, helping manage the time & resources available, adapting plans to meet evolving needs and operational challenges, and representing the product with business partners and executive leadership
  • Maintain relationships with stakeholders while understanding their needs and providing them with rapid and robust solutions to their requests
  • Provide ad-hoc analysis support for stakeholders to help move the business forward
  • Effectively communicate actionable results through compelling data storytelling across the organization
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