Analyst, Predictive Analytics

This position is based in our 1050 Miami Office

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

We are proud to be the vacation-industry leader with global brands — including Royal Caribbean International, Celebrity Cruises and Silversea Cruises — the most innovative fleet and private destinations, and the best people. Together, we are dedicated to turning the vacation of a lifetime into a lifetime of vacations for our guests.

Royal Caribbean team has an exciting career opportunity for a full-time Analyst, Predictive Analytics reporting to the Senior Manager, Revenue Management Operations Research.

The Deployment Analytics team is responsible for all data, decision tools, reporting and information needs for the Deployment team. The Operations Research analyst 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.

• Assist in development, implementing, and maintaining deployment systems, BI reporting tools, and deployment itinerary planning tools.
• Develop new reporting and models for deployment department. Work closely with deployment team 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 deployment reporting and modeling needs, develop the tool, report, or model with teams to ensure it meets their needs, providing relevant, actionable deployment-related information in the most effective format and medium.
• Respond to ad-hoc data and analysis needs while supporting various projects. Learn the alpha platform (Azure and Databricks) environment, synapse, SQL, and oracle data warehouse systems to pull various data sets required for ad-hoc analysis. 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 impact on business terms.
• Continuously search for potential business, yield, emissions, revenue increases, and cost saving improvements while maintaining high customer satisfaction.
• Works closely with corporate strategy, brand and corporate deployment teams, energy management, port operations, and ESG teams to accurately predict fuel, carbon emissions, and new carbon tax developments. Assist in the development of tools to assist teams minimize carbon emissions, fuel expenses, and quantify carbon tax implications on itinerary decisions.
• Support operations research and other advanced quantitative methodologies to develop models to maximize net itinerary yields. These methodologies would include forecasting, machine learning, AI, statistics, econometric modeling, linear programming, and other optimization algorithms.
• Work closely with the deployment teams to understand their business challenges and objectives, identifying areas of opportunity and developing holistic solutions for the department.

This position description in no way states or implies that these are the only duties to be performed by the employee occupying this position. Employee will be required to perform any other job-related duties assigned by their supervisor or management.

• Bachelor’s degree from four-year college or university required (in Operations Research, Industrial Engineering, Statistics, or related field).
• Two or more years of experience in forecasting, optimization, or data modeling.
• Strong quantitative, analytical skills and knowledge of applied statistics.
• Demonstrated ability to develop and implement applications using a programming language, especially PL/SQL,…