Senior Business Intelligence Analyst

The Studio Content Valuation team is responsible for the valuation of all Studio content on the Company's direct-to-consumer and linear platforms, including films and original series from Disney, Lucasfilm, Marvel, 20th Century, Searchlight, Pixar, and Walt Disney Animation. The team is cross-functional, and its members draw on expertise from various disciplines: finance, statistics, database management, contract management, and accounting.

The Senior Business Intelligence Analyst is responsible for statistical modeling, database management, and automation improvement. The role interacts with sales and finance teams in North America and international regions. It requires problem-solving through multiple statistical methodologies (both parametric and non-parametric); it services a data architecture that enables consistent reporting, automation, and analysis throughout the organization.

The Senior Business Intelligence Analyst must possess a passion for statistics, data manipulation, quality assurance, and exploratory analysis that will help inform planning and decision-making across the business. The role also requires proactiveness and attention to detail in a deadline-driven environment.

Responsibilities:

• Curate, manipulate, and synthesize large amounts of content licensing and sales data to test hypotheses and draw conclusions that result in actionable insights
• Conduct comparative content searches, via internal and external resources, to supplement the data with additional factors (e.g., program genre, popularity, and market conditions)
• Process, cleanse, and verify the integrity of the data used for analyses
• Compute valuations for both new and library content made available on Disney's distribution platforms
• Organize and maintain database to store valuation results
• Prepare ad-hoc reports using data visualization, and make presentations to senior management; explain technical concepts to non-technical audiences
• Explore new statistical models as well as automation tools for continuous process improvement

Required Qualifications:

• BA/BS in business, mathematics, economics, data science, or other quantitative discipline (including statistics coursework)
• Two to four years of experience as a data scientist, data analyst, or similar role
• Strong foundation in statistics, probability, and predictive modeling techniques (e.g., regression, time-series forecasting)
• Proficiency in R or Python for data analysis and model development
• Solid experience working with SQL databases (writing complex queries, optimizing performance, integrating with analysis workflows)
• Demonstrated ability to automate processes using AI/ML tools, scripting, or low-code/no-code platforms (e.g., Alteryx, Power BI)
• Familiarity with Excel, including complex formulas, pivot tables, and linking Excel data to external sources (e.g., via Power Query or Python/SQL)
• Experience building dashboards or reports using tools like Power BI, Tableau, or similar
• Ability to translate complex analytical results into clear, actionable insights for business stakeholders

Preferred Qualifications:

• Master’s degree in a quantitative discipline such as data science, statistics, economics, or business
• Knowledge of data pipeline orchestration tools (e.g., Alteryx)
• Exposure to natural language processing (NLP) or generative AI tools (e.g., GPT, Copilot, etc.) to automate document generation or reporting tasks (experience with ML frameworks such as scikit-learn and PyTorch, a plus)
• Understanding of data governance, privacy, and security best practices in a corporate setting

Soft skills

• Excellent problem-solving and analytical thinking.
• Strong communication skills—able to work closely with finance professionals and non-technical stakeholders.
• Comfortable operating independently and managing multiple projects in a fast-paced, data-driven environment.
• A mindset of continuous improvement and curiosity, with the drive to explore new AI tools and methods