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Analyst, Operations Research and Predictive Analytics

Journey with us! Combine your career goals and sense of adventure by joining our exciting team of employees. Royal Caribbean Group is pleased to offer a competitive compensation and benefits package, and excellent career development opportunities, each offering unique ways to explore the world.

 

The Royal Caribbean Group’s Finance - Revenue Planning has an exciting career opportunity for a full time Analyst, Operations Research and Predictive Analytics reporting to the Sr. Manager, Revenue Management Operations Research.

 

This position will work on-site in Miami, Florida

 

Position Summary:

 

The Revenue Management Development and Systems team is responsible for all data, decision tools, reporting and information needs for the Revenue Management team.  The Analyst, Operations Research and Predictive Analytics assists in supporting the team’s forecasting, modeling, analysis and reporting. Serves as a contact person for the department to help explain the tools and data results.

 

Essential Duties and Responsibilities:

 

  • Assist in developing, implementing and maintaining revenue management systems, Business Intelligence reporting and user tools.  Update current statistical and modeling techniques in PL/SQL and SAS for changing business patterns and to reduce error.  Successfully apply quantitative methods and techniques, including forecasting, linear regressions, mixed integer programming, optimization and statistical analyses.
  • Develop new reporting and models for department.  Work closely with the Revenue Management teams to understand their business, challenges and objectives.  Think creatively to deliver solutions that meet the business needs, given the available data and systems.
  • Learn to determine user requirements, develop own suggestions to meet Revenue reporting needs, develop the tool or report and work with teams to ensure it meets their needs, providing relevant, actionable revenue management-related information in the most effective format and medium.
  • Respond to ad-hoc data and analysis needs while supporting various projects. Learn the DB2 and Data Warehouse systems in order to pull various data sets required for ad hoc analyses.  Conduct statistical analyses of business data, evaluate trends and pattern changes, and learn to disperse results in a format appropriate for the audience.
  • Clearly explain tools and results to teams and management.  Develop and conduct clear, concise presentations, communicating technical methods and impacts in business terms.
  • Continuously search for potential business improvements, revenue opportunity and efficiency gains.
  • Performs other duties as required.  This job description in no way states or implies that these are the only duties to be performed by the employee occupying this position.  Employees will be required to perform any other job-related duties assigned by their supervisor or management.

 

Financial Responsibilities:

 

  • Support reporting, systems and modeling of current and expected revenue to support daily and strategic revenue decisions and analyses.  These tools are critical to the day-to-day decisions made by analysts, impacting the company’s annual net ticket revenue stream of over $4 Billion.

 

Qualifications:

 

  • Master’s degree in Operations Research, Industrial Engineering, or Statistics preferred.
  • Bachelor’s degree from four-year college or university required (in Operations Research, Industrial Engineering or Statistics helpful).
  • Two or more years of work experience in related field preferred.
  • Equivalent combination of education and experience will be considered.

 

Knowledge and Skills:

 

  • Strong quantitative, analytical skills and knowledge of applied statistics.
  • Demonstrated ability to develop and implement applications using a programming language, especially PL/SQL or SAS.
  • Experience in supporting and interpreting reporting using Access or Business Intelligence tools (Hyperion Experience a plus).
  • Experience in forecasting, optimization or data modeling.
  • Ability to handle dynamic workload, balancing short and long term projects.
  • Ability to interpret analytical results into meaningful business terms and translate business needs to programming and data modeling.
  • Ability to communicate clearly and effectively to business and technical audiences in both spoken and written formats.
  • Must possess strong reality check reflex and problem solving skills

 

We know there's a lot to consider. As you go through the application process, our recruiters will be glad to provide guidance, and more relevant details to answer any additional questions. Thank you again for your interest in Royal Caribbean Group. We'll hope to see you onboard soon!

 

It is the policy of the Company to ensure equal employment and promotion opportunity to qualified candidates without discrimination or harassment on the basis of race, color, religion, sex, age, national origin, disability, sexual orientation, sexuality, gender identity or expression, marital status, or any other characteristic protected by law. Royal Caribbean Group and each of its subsidiaries prohibit and will not tolerate discrimination or harassment.

 

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Nearest Major Market: Miami

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