Analyst, Deployment Automation

Royal Caribbean Cruises Ltd•Miami, FL

1d•Onsite

About The Position

This position is on – site in our Royal Caribbean Headquarters 1050 Miami. 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 Private Destinations team has an exciting career opportunity for a full Analyst, Deployment Automation reporting to the Manager, Deployment Strategy & Projects. This position is primarily responsible for deployment optimization, with a strong focus on automating deployment tools and enhancing reporting capabilities for the Deployment Strategy & Projects team. The Analyst will design, build, maintain, and improve technology-driven solutions that support faster, more agile deployment decisions and produce more accurate volume projections for development project business cases. This role is critical during the transition phase of the deployment teams as the organization adapts to a more technology-driven operating model. The individual in this role must be highly proficient in Python and SQL and will work closely with the Senior Analyst and Manager to develop tools, reporting, and analytical capabilities that strengthen deployment planning and decision-making. The Analyst will partner cross-functionally with Data Science, Revenue Management, OBR, Deployment, and other internal teams to integrate data from multiple sources, improve process efficiency, and deliver scalable solutions that support strategic business needs.

Requirements

Bachelor’s degree in business, Industrial Engineering, Data Science, Analytics, Computer Science, or a related field.
Advanced proficiency in Python and SQL is required, with demonstrated ability to build analytical tools, automate recurring workflows, and work with large, complex datasets.
Experience developing dashboards, reporting solutions, and data visualizations using tools such as Power BI, Excel, or similar platforms.
Strong analytical, quantitative, and problem-solving skills, with the ability to translate data into actionable insights, scenario analyses, and business recommendations.
Strong verbal and written communication skills, with the ability to present technical concepts and analytical findings clearly to non-technical and executive audiences.
Business acumen and the ability to connect analytical outputs to operational, financial, and strategic decision-making.
Demonstrated initiative, curiosity, and continuous-improvement mindset, with a track record of identifying opportunities to enhance processes and analytical capabilities.
Excellent interpersonal skills and the ability to collaborate effectively across functions, build credibility, and influence partners at multiple levels of the organization.
Strong organizational and prioritization skills, with the ability to manage multiple projects, deadlines, and stakeholder needs in a fast-paced environment.
High attention to detail and commitment to data accuracy, quality, and consistency.
Ability to thrive in a collaborative team environment while taking ownership of work and driving projects forward independently.

Responsibilities

Lead deployment optimization analyses, including scenario modeling and tradeoff evaluation, to support data-driven recommendations for destination and itinerary decisions.
Design, build, and enhance automation tools that streamline deployment planning, improve decision speed, and increase process scalability across the team.
Develop and maintain analytical tools, dashboards, and reporting solutions that provide clear visibility into deployment performance, planning assumptions, and strategic opportunities.
Use Python, SQL, and reporting platforms to solve complex business problems, automate recurring analyses, and deliver scalable data solutions for deployment planning.
Integrate, validate, and manage data from multiple internal and external sources to build reliable datasets that support deployment decisions and destination development initiatives.
Forecast passenger volume for future destinations and development projects, strengthening the business cases that support investment and deployment decisions.
Support the implementation of new analytical tools and planning solutions by coordinating testing, validating outputs, and helping drive adoption across deployment workflows.
Document methodologies, data definitions, assumptions, and reporting logic to ensure consistency, transparency, and long-term scalability of analytical products.
Partner closely with Deployment, Data Science, Revenue Management, OBR, and other internal stakeholders to gather requirements, validate outputs, and influence high-quality deployment decisions.
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.