Royal Caribbean Group is looking to solve business problems related to deployment analytics, forecasting, modeling, and reporting to support the Deployment team and improve business outcomes.
Requirements
- 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 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.
- Knowledge of Azure and Databricks environment, synapse, SQL, and oracle data warehouse systems.
- Experience with forecasting, machine learning, AI, statistics, econometric modeling, linear programming, and other optimization algorithms.
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 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.
- Respond to ad-hoc data and analysis needs while supporting various projects.
- Conduct statistical analyses of business data, evaluate trends, and pattern changes, and learn to disperse results in a format appropriate for the audience.
- Support operations research and other advanced quantitative methodologies to develop models to maximize net itinerary yields.
- Work closely with the deployment teams to understand their business challenges and objectives, identifying areas of opportunity and developing holistic solutions for the department.
Other
- 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.
- 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.
