Sr Analytics & Insights Analyst job at Disney Parks & Resorts

Job Description

~~The Walt Disney Company is a world-class entertainment and technological leader. Walt’s passion was to continuously envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences — and we’re constantly looking for new ways to enhance these exciting experiences. Bring your individual talents here and discover for yourself why a career with Disney is the opportunity you’ve been looking for.

“It takes people to make the dream a reality.” Walt was on to something when he said that, and it continues to ring true today. No matter the stage in your career, being a part of Walt Disney Parks & Resorts means being a part of a team where you help bring innovation to life through unsurpassed products, services and most importantly remarkable experiences. As a Cast Member you are the steward and connection to our legacy and the backbone of our thriving innovations. Join our team and watch your dreams come true.

Consumer Insight, Measurement, & Analytics (CIMA) is a Global Marketing & Sales organization who informs strategy development and decision-making through actionable data analytics, integration and insights. Within CIMA, the Sales Analytics & Insights (SAI) team provides objective decision support for Sales and Sales Strategy Teams in the following areas: Client & Cast Incentive decision support, Channel analytics & optimization, and Sales Strategy decision support.

The Sr. Analytics & Insights Analyst role is a full time salaried position providing support for the Sales, Strategy, and Sales Planning teams related to accessing, reporting, and analyzing data to help them do their jobs more effectively. The scope responsibilities are to provide objective, value-added insights and analysis to help drive sales recommendations and uncover opportunities to grow the business.

Responsibilities
Given the role’s joint blend of quantitative and qualitative based work, a successful candidate will have the ability to work closely with internal partners developing an understanding of the business needs, identify business trends, and provide insights. The candidate must also be able to develop communication (presentations, visual diagrams, process maps, etc.) documenting current state as well as frame up issues and options for consideration. Responsibilities include data mining leveraging Business Objects, SAS, and/or Excel; strong statistical knowledge, researching discrepancies in data and root cause issues; and visualization of the broader scope.

Basic Qualifications

Demonstrated ability to leverage data integration software skills including spreadsheets, databases, and graphics software
Demonstrated strong problem-solving and critical thinking skills
Strong knowledge of and experience with relational databases, online data management skills, and data warehousing practices
Strong interpersonal skills, including the ability to partner with others and deal effectively with multiple projects and changing priorities
Proven experience with data operations as well as understanding and documenting complex data process and flows
Demonstrated strong written and verbal communication skills with the ability to develop and articulate actionable, fact-based, insights and recommendations. Deliver this by telling a simple, compelling story to varying types of audiences to guide decision-making

Preferred Qualifications

Demonstrated solid experience working with reporting and data mining tools such as SAS, Teradata SQL, Tableau, Business Objects, Crystal Reports, etc.
Walt Disney Parks and Resorts experience
Travel industry experience

Required Education

Bachelor’s degree or equivalent with concentration in Data Analysis, Statistics, Information Technology, Industrial Engineering, Operations Research or Finance.

Preferred Education

Master's Degree or PhD in Advanced Analytics/Data Analytics, Statistics, Operations Research, or Industrial Engineering; MBA

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