Job Overview

The Disneyland Resort RM&A/Finance organization combines strategic and analytical thinking to drive commercial, financial, and operational value for Disney Parks by shaping business decisions in Ticketing, Resorts, Merchandise, Food & Beverage, as well as all other lines of business in the core competencies of yield management, revenue planning, forecasting, pricing, promotions, strategy development, and optimization.

Candidates should have a natural curiosity to understand the “why” behind business performance, take a proactive role in problem-solving, be results oriented, be able to prioritize, and be a team player and influencer in a collaborative environment. 

This role reports to the Manager – RM&A, Revenue Forecasting

What You Will Do:

• Predictive Analytics & Forecasting – Hands-on contributor/developer of mathematical, statistical, and other complex models to support forecasting for revenue generating products. Support financial planning processes, including Annual Operating Plan and Monthly Forecasts 

• Problem-Solving – Be curiosity driven; seek out business anomalies and patterns leveraging analytical tools and knowledge to shed light and gain understanding of the business to bolster strategies and initiatives

• Data Visualization – Present complex analytical findings in clear business terms to facilitate acceptance and execution by business partners and senior executives. 

• Business Optimization – Evaluate key business drivers to measure the success of commercial, financial, and operational decisions; and develop science-based approaches to help achieve business objectives and drive long-term strategic direction

• Partner Collaboration – Develop and maintain relationships with Marketing, Consumer Insights & Marketing Analytics (CIMA), Legal, and Sales to communicate performance, drive new initiatives, identify business impacts and strategic opportunities, and help translate complex challenges into digestible business takeaways

Basic Qualifications:

• Bachelor’s degree in Finance, Business Analytics, Mathematics, Economics, Industrial Engineering, Statistics, Econometrics, or other quantitative field

• Proficiency in acquiring, organizing, cleansing, and manipulating large amounts of data and reporting on results using advanced skills in Microsoft Excel (including VBA or Power Query)

• Experience in data handling and manipulation in a programming language such as SQL.

• Knowledge of data visualization/business intelligence software, such as Tableau or Power BI

• Demonstrated exceptional written and verbal communication skills, with the ability to shift between technical and non-technical terminology depending on audience

• Demonstrated analytical problem-solving, creative thinking, and partnering skills

• Demonstrated ability to meet deadlines, handle multiple priorities, and perform job responsibilities accurately with minimal supervision

• Demonstrated ability to extract and assimilate data from multiple sources and communicate analysis in a concise and actionable format

• Demonstrated exceptional sense of responsibility, ownership, and pride in delivering quality results and understanding the business impact

Preferred Qualifications:

• 1-3 years of experience in statistical analysis, business analysis, and/or strategy development

• Familiarity or prior experience with revenue management concepts (e.g., forecasting, optimization, dilution, displacement, measurement)

• Experience with one or more advanced modeling tools (R, Python, etc.)

• Knowledge of Walt Disney Parks & Resorts operations, business units, and product offerings

The hiring range for this position in Anaheim, CA is $94,200 to $115,000 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.