Royal Caribbean Group is looking for an Analyst, Predictive Analytics to support the Deployment Analytics team by improving forecasting, modeling, analysis, and reporting for deployment itinerary planning, aiming to maximize net itinerary yields, increase revenue, and reduce costs while maintaining customer satisfaction.
Requirements
- 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, SAS, or Python.
- Experience in supporting and interpreting reporting using Business Intelligence tools (PowerBI experience a plus).
- Ability to interpret analytical results into meaningful business terms and translate business needs to programming and data modeling.
- Master’s degree in Operations Research, Industrial Engineering, or Statistics preferred.
Responsibilities
- Assist in development, implementing, and maintaining deployment systems, BI reporting tools, and deployment itinerary planning tools.
- Develop new reporting and models for deployment department.
- 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.
- Develop and conduct clear, concise presentations, communicating technical methods and impact on business terms.
- Support operations research and other advanced quantitative methodologies to develop models to maximize net itinerary yields.
- Assist in the development of tools to assist teams minimize carbon emissions, fuel expenses, and quantify carbon tax implications on itinerary decisions.
Other
- Bachelor’s degree from four-year college or university required (in Operations Research, Industrial Engineering, Statistics, or related field).
- Ability to handle dynamic workload, balancing short- and long-term projects.
- 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.
- Miami based position with some travel.
