Royal Caribbean Cruises - Miami, FL

posted 4 months ago

Full-time - Entry Level
Miami, FL
Administrative and Support Services

About the position

Join the Royal Caribbean Group as an Analyst in Research Analytics, where you will play a pivotal role in the Deployment Analytics team. This full-time position, based in Miami, Florida, reports directly to the Senior Manager of Revenue Management Operations Research. The Deployment Analytics team is responsible for all data decision tools, reporting, and information needs for the Deployment team. As an Operations Research analyst, you will assist in supporting the team's forecasting, modeling, analysis, and reporting, serving as a key contact for the department to explain tools and data results. In this role, you will assist in the development, implementation, and maintenance of deployment systems, BI reporting tools, and deployment itinerary planning tools. You will be tasked with developing new reporting and models for the deployment department, working closely with the deployment team to understand their business challenges and objectives. Your creative thinking will be essential in delivering solutions that meet business needs based on available data and systems. You will learn to determine user requirements, develop suggestions to meet deployment reporting and modeling needs, and collaborate with teams to ensure that the tools, reports, or models meet their needs, providing relevant actionable deployment-related information in the most effective format and medium. Additionally, you will respond to ad-hoc data and analysis needs while supporting various projects. You will learn to navigate the alpha platform (Azure and Databricks) environment, utilizing synapse SQL and Oracle data warehouse systems to pull various data sets required for ad-hoc analysis. Conducting statistical analyses of business data, evaluating trends and pattern changes, and effectively communicating results to teams and management will be key components of your responsibilities. You will develop and conduct clear, concise presentations that communicate technical methods and their impact on business terms. Your role will also involve continuously searching for potential business yield emissions, revenue increases, and cost-saving improvements while maintaining high customer satisfaction. You will work closely with corporate strategy, brand, and corporate deployment teams, as well as energy management, port operations, and ESG teams, to accurately predict fuel carbon emissions and new carbon tax developments. Furthermore, you will assist in developing tools to help teams minimize carbon emissions, fuel expenses, and quantify carbon tax implications on itinerary decisions. Supporting operations research and other advanced quantitative methodologies to develop models that maximize net itinerary yields will be part of your duties, utilizing methodologies such as forecasting, machine learning, AI, statistics, econometric modeling, linear programming, and other optimization algorithms. Your collaboration with deployment teams will help identify areas of opportunity and develop holistic solutions for the department.

Responsibilities

  • Assist in the development, implementation, and maintenance of deployment systems, BI reporting tools, and deployment itinerary planning tools.
  • Develop new reporting and models for the deployment department.
  • Work closely with the deployment team to understand their business challenges and objectives.
  • Think creatively to deliver solutions that meet business needs based on available data and systems.
  • Determine user requirements and develop suggestions to meet deployment reporting and modeling needs.
  • Develop tools, reports, or models with teams to ensure they meet their needs, providing relevant actionable deployment-related information.
  • 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 for ad-hoc analysis.
  • Conduct statistical analyses of business data, evaluate trends and pattern changes, and communicate results effectively.
  • Develop and conduct clear, concise presentations communicating technical methods and their impact on business terms.
  • Continuously search for potential business yield emissions, revenue increases, and cost-saving improvements while maintaining high customer satisfaction.
  • Work closely with corporate strategy, brand, and corporate deployment teams, energy management, port operations, and ESG teams to predict fuel carbon emissions and new carbon tax developments.
  • Assist in developing tools to 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.

Requirements

  • Bachelor's degree from a four-year college or university in Operations Research, Industrial Engineering, Statistics, or a 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, SAS, or Python.
  • Experience in supporting and interpreting reporting using Business Intelligence tools, with PowerBI experience being 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.
  • Ability to communicate clearly and effectively to business and technical audiences in both spoken and written formats.
  • Strong reality check reflex and problem-solving skills.

Nice-to-haves

  • Master's degree in Operations Research, Industrial Engineering, or Statistics preferred.

Benefits

  • Competitive compensation package
  • Career development opportunities
  • Health insurance
  • Paid holidays
  • Flexible scheduling options
  • Employee discounts
  • Wellness programs
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