Senior Analyst - Food & Beverage/Merchandise

Senior Analyst - Food & Beverage/Merchandise

18 Nov 2024
Florida, Baylake 00000 Baylake USA

Senior Analyst - Food & Beverage/Merchandise

About the role and team"We create happiness.” That’s our motto at Walt Disney Parks and Resorts, and it permeates everything we do. At Disney, you’ll help encourage that magic by enabling our company to push the limits and build the never-before-seen! Are you ready to join this team and make an impact?The Senior Analyst applies technical skills, analytics, and creative problem-solving to assess, support, and guide the Walt Disney World Food & Beverage and Merchandise Lines of Business. Types of analyses include but are not limited to: standard methodology identification, benchmarking, what-if scenarios, case development, and impact quantification. The person in this position should be able to compile and deliver data, analyses, reporting, dashboarding, and tools that are simple to understand, and stable to run. A successful Senior Analyst must have a high capacity for productivity, a passion and curiosity to understand the "why" behind the data, and an ability to find and share the “story” behind the quantitative results.This role will report to the Manager, F&B/Merchandise Business Insights and Analytics.What You Will Do

Provide analytical partnership and reporting support for Lines of Business partners, Operations clients, and others with a strategic approach

Partner with key stakeholders and clarify or interpret sophisticated information to arrive at the root business questions that require evaluation and insight

Build and deliver presentations to effectively communicate sophisticated analytical methodologies/results as clear, story-based interpretations for a variety of analytical/non-analytical audiences, clients, and levels of leadership

Collaborate with leadership and team members to develop project approaches, analytical methodologies, and tactical queries/models/formulas/calculations

Proactively share communication across teams to ensure everyone understands project updates, priorities, and timelines and identify appropriate courses of escalation as needed

Support team members by proactively documenting and communicating findings and standard processes

Consider and adapt to operational/location/product complexity, uniqueness, and nuance as well as leadership and/or client feedback

Develop and deliver work that is effective and timely

Contribute to all aspects of project work from start to finish—Inclusive of project scoping/definition, data mining, analysis execution, iterative evolution, insight derivation, presentation building, and communication of results

Connect and pull and validate data across a variety of systems and sources

Outline and explain analysis approach and methodology

Conduct analyses, assess Guest, Cast, and business impacts, and interpret results to inform project recommendations

Build data visualizations and reporting to evaluate operations’ and/or product performance across locations/like-products, internal/external benchmarks, forecasts, and other KPIs

Derive insights based on trends in operational performance and productivity analytics

Required Qualifications & Skills

Proven understanding of mathematical and statistical analysis methods with real-world application

Proficient with Excel and other analytical tools/software

Proficient with programming language(s) (Snowflake/SQL/Python) and data visualization software (Tableau/MicroStrategy/Power BI)

Experience building analytical methodologies and tools that deliver impactful insights

Experience in programming, data mining, analytics, insights, and presentation of results

Excellent communication and partnering skills with team members, leaders, and clients

Track record of consistently being considered a “partner/peer/team member of choice”

Proficient in time management and prioritization; balancing multiple projects and deadlines amidst constant change

Ability to incorporate and promote change and/or feedback in a productive, positive, and professional manner

Competency to translate results into clear, story-based interpretations to present to non-technical and technical audiences

Preferred Qualifications

Experience with Merchandise and/or Food & Beverage

Project management certification

EducationRequired Education

Bachelor's degree in Industrial Engineering, Operations Research, Simulation, Mathematics, or related field

Preferred Education

Advanced degree in Industrial Engineering, Operations Research, Simulation, Mathematics, or related field

Additional InformationThe 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.Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more at https://jobs.disneycareers.com/benefits.Location: Bay Lake,FloridaJob Posting Company: Walt Disney World ResortThe Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

Job Details

  • ID
    JC52910132
  • State
  • City
  • Full-time
  • Salary
    N/A
  • Hiring Company
    The Walt Disney Company
  • Date
    2024-11-19
  • Deadline
    2025-01-18
  • Category

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