Senior Analyst-Revenue Management & Analytics

About the position

The Disneyland Resort Revenue Management & Analytics organization is dedicated to combining strategic and analytical thinking to drive commercial, financial, and operational value for Disney Parks. This is achieved by crafting informed business decisions across various sectors including Ticketing, Resorts, Merchandise, Food & Beverage, and more. The team focuses on core proficiencies such as yield management, forecasting, pricing, promotions, optimization, and other predictive analytic techniques, utilizing mathematical and statistical approaches. We are driven by a natural curiosity to understand the underlying reasons behind business performance and take a proactive role in problem-solving. We are looking for a results-oriented individual who can prioritize effectively and thrive in a collaborative environment. The ideal candidate will possess strong communication skills, a partnership mindset, and proven experience in statistical/data science modeling, data visualization, and data manipulation. Join us to be part of this dynamic team!

Responsibilities

• Advise on efficient inventory allocations by measuring the success of past decisions and providing actionable insights on future opportunities.
• Manage day-to-day inventory allocation to ensure company goals are met.
• Create and maintain data visualization dashboards using Tableau or similar tools to deliver insights and enable internal efficiencies.
• Develop and maintain SQL queries and scripts for data analysis and reporting, ensuring data quality is continuously supervised.
• Leverage mathematical and statistical techniques to develop predictive models that improve demand forecasts and prescriptive models that advise business decisions.
• Collaborate with various teams within Revenue Management and across the organization, including Commercial, Operations, Pricing, Finance, Forecasting, Industrial Engineering, and Technology & Digital.

Requirements

• 2+ years of work experience in revenue management, industrial engineering, forecasting, pricing, or a similar analytical field.
• Excellent data analysis skills with an eye towards identifying business trends to turn into actionable insights.
• Proficiency in acquiring and manipulating large amounts of data, applying sophisticated Microsoft Excel skills (including VBA), and leveraging scripting languages (SQL, Python, etc.).
• Skilled in storytelling through data integration and visualization with professional experience in one or more data visualization tools (Tableau, Power BI, etc.).
• Excellent written and verbal communication skills, with the ability to shift between technical and non-technical terminology depending on the audience.
• Ability to follow through, meet deadlines, balance multiple priorities, and perform job responsibilities accurately.
• Strong sense of responsibility, ownership, and pride in delivering quality results and understanding the business impact.
• Relationship and communication skills to effectively build partnerships, including the ability to ask questions to gain understanding and influence others with differing points of view.

Nice-to-haves

• Experience using statistical modeling, optimization, or data science techniques to drive business decisions and advise new methodologies to steer strategy.
• Prior experience with revenue management, forecasting, or pricing.
• Understanding of revenue management concepts (e.g., dilution, displacement).

Benefits

• Health insurance
• Childcare options
• Paid time off
• Retirement programs
• Tuition assistance
• Weekly pay