Graduate Data Analytics Internship, Spring 2018 – Burbank, CA
The Revenue Management and Analytics (RM&A) team supports clients across The Walt Disney Company, including Walt Disney Parks & Resorts (WDP&R), Disney Cruise Line, Media Networks (i.e. ABC, ESPN), Studio Entertainment and Disney Interactive Media in the core competencies of yield management, revenue planning, forecasting, pricing and optimization. Key partners to the RM&A organization include Marketing, Finance, Business Development, Research and Operations. Roles within RM&A develop, analyze, and execute strategies to maximize profitability and improve the value proposition for our Guests, Cast Members and Shareholders.
We Are…
The Data Analytics consulting team leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. 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 in a collaborative environment.
Make an Impact by supporting marketing, finance, and supply chain projects that create a strong return on Company investments. The interns help in this process by:
- Collecting, validating and maintaining data in SAS, R or Python
- Generating periodic and ad hoc forecasts, while maintaining results
- Applying analytics to address marketing and finance business questions
- Developing analytical solutions for cross-segment clients
- Maintaining technical system documentation
- Performing industry research and benchmark analysis
- Preparing client deliverables
What You Bring to the Role.....
- Strategic problem solving & analytical skills
- Basic understanding of SAS coding
- Statistics or Econometrics background
- Experience collecting & analyzing data and reporting on the results
- Excellent oral/written communication skills to technical and non-technical audiences
- Intense attention to detail
- Ability to adapt in a rapidly changing business environment and manage multiple competing priorities
- Proficiency in Microsoft Office
Preferred Qualifications
- Familiarity with SAS or SQL to perform data manipulation or modeling
- Basic understanding of R or Python
- Previous work experience in statistics