Job Summary:

The Advanced Analytics & Optimization Manager will leverage multiple statistical methodologies to develop insights into our global marketing investment, and incorporate these insights in advanced scenario planning applications for use by the Global Marketing & Sales Organization. At the direction of senior leadership, this role will also develop and implement data mining projects for the wider Consumer Insight, Measurement & Analytics organization. This is an individual contributor role reporting to the Senior Manager, Advanced Analytics & Optimization.

Responsibilities:

• Develop Marketing Mix Models for various business units within Disney Parks, Experiences and Products (DPEP)
• Transform model results into insights to help stakeholders understand historical media impact and trends in media performance
• Develop and deliver action-oriented, insightful analytic presentations that provide consultative direction to key stakeholders
• Create other statistical models for various DPEP business units and business problems
• Perform exploratory data analysis to gain insights into the business operations and to validate data

Basic Qualifications:

• 2- 3 years professional work experience (preferred)
• Demonstrated strong written and verbal communication skills, including ability to summarize and present complex analytics to senior leadership
• Experience with various analytic, data mining and machine learning methodologies including: multivariate regression, mixed models, clustering, time series regression, and forecasting
• Experience with R or Python

Preferred Qualifications:

• 5 years professional work experience
• High proficiency with using R or Python for data mining
• Prior work experience within a media agency or analytics consulting firm
• Knowledgeable in marketing or media mix modeling
• Expert in advanced data mining and statistical methodologies
• Experience with SQL and relational databases

Required Education

• Master's degree or equivalent in statistics, mathematics, economics, data mining, computer science, engineering or operations research

Preferred Education

• PhD or equivalent in statistics, mathematics, economics, data mining, computer science, engineering or operations research

About Parks, Experiences and Products:

The Parks, Experiences and Products segment includes Disney’s iconic travel and leisure businesses, which include six resort destinations in the United States, Europe and Asia, a top-rated cruise line, a popular vacation ownership program, and an award-winning guided family adventure business. Disney’s global consumer products operations include the world’s leading licensing business across toys, apparel, home goods, digital games and apps; the world’s largest children’s publisher; Disney store locations around the world; and the shopDisney e-commerce platform.

About The Walt Disney Company:

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: media networks, parks and resorts, studio entertainment, consumer products and interactive media. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.

This position is with Disney Destinations, LLC, which is part of a business segment we call Parks, Experiences and Products.

Disney Destinations, LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.