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Royal Caribbean Cruises Ltd

Analyst, Data Science

Miami, FL, United States

Apply on jobs.royalcaribbeangroup.com About employer

Applications open in a new tab.

Job details

Experience: 1-3 years of experience in a data science, data, or cloud engineering role or display of comparable skill (internships and academic projects considered)
Posting language: English
Posted: Nov 10, 2026

Original job description

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.

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.

The Royal Caribbean Group’s Revenue Management Team has an exciting career opportunity for a full time Data Science Analyst reporting to the Data Engineering Senior Director.

The position is onsite and based in Miami, Florida.

Applicants must be legally authorized to work in the location where this position is based. The position is not eligible for immigration or work-visa sponsorship now or in the future.

At Royal Caribbean Group (RCG), we care about your health, financial security, and overall well-being. That’s why we provide a comprehensive and competitive benefits package designed to support what matters most to you across every area of life: physical, intellectual, emotional, and social. Here’s an overview of the benefits available to you, including but not limited to:

• Cruise and Travel Privileges

• Health and Wellness Benefits

• 401(k) + Employer Contribution (US Only)

• Company-Paid Life and Disability Insurance

• Employee Stock Purchase Plan

• Comprehensive Time Off Package

• Parental Leave

• Employee Assistance Program (EAP)

• Training & Professional Development

• Tuition & Professional Certification Reimbursement (US Only)

Specific benefits may vary by location and position. See more details about our benefits here.

What does the Revenue Management Team do?

The Revenue Management Team at Royal Caribbean Group drives pricing, inventory, and demand strategies to maximize revenue and optimize fleet performance. Using data, forecasting, and market insights, the team partners with Sales, Marketing, Finance, and Operations to balance guest demand, yield, and capacity, ensuring the right product is offered at the right time, price, and channel across all brands.

How you can make an impact:

• The Analyst, Data Science is a member of the Revenue Strategy team and contributes to the team's more than $100M annual revenue target by supporting the development, operation, and maintenance of machine learning models and automation processes for pricing, inventory, and target setting.

• The Analyst helps identify opportunities to optimize and automate key Revenue Management initiatives and conducts statistical testing and experimentation to help define business rules and best practices.

• The Analyst applies technical and statistical knowledge and a systematic, disciplined approach to help solve business problems, while building the skills to take on greater ownership of models and projects over time.

• This is an opportunity to launch your data analytics career at a global cruise brand, working on real pricing, inventory, and target-setting models that directly shape revenue, with hands-on exposure to cloud technologies and access to mentorship from experienced Business Leaders and Data Scientists.

What your day-to-day will look like:

• Assemble, clean, and prepare large, complex data sets that meet functional / non-functional business requirements to support model development and analysis

• Help identify and implement internal process improvements: automating manual processes, optimizing data delivery, and improving the scalability of data pipelines, etc.

• Build and maintain data pipelines for the extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python, and cloud “big data” technologies

• Build analytics and visualization tools that turn model outputs into actionable insights on key business performance metrics, such as customer acquisition and operational efficiency

• Create and support reporting, including but not limited to Power BI, to keep track of initiatives and KPIs

• Work with stakeholders including the Revenue Management, Marketing, Data Science and Data Engineering teams to assist with data-related questions and communicate results clearly

• Help facilitate change management for new models and automation by supporting stakeholder communication, training, and adoption

• Support the development, testing, and validation of machine learning models and business rules for pricing, inventory, and target setting, using structured experimentation under the guidance of senior Data Scientists

• Highly analytical, curious, and interested in statistical analysis, machine learning, and data visualization

• Collaborate with data science and data engineering team members, and seek feedback from senior colleagues, to strive for greater accuracy and functionality in data systems and models

• Constantly looking to automate their workloads and striving to provide more timely, accurate, complete business analytics

How to achieve success:

• Requires a bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field

• 1-3 years of experience in a data science, data, or cloud engineering role or display of comparable skill (internships and academic projects considered)

• Experience with relational SQL and NoSQL databases

• Proficiency in a scripting language for data analysis and modeling: Python, R, etc.

• Strong analytic skills, including a foundation in statistics and machine learning

• Exposure to processes supporting data transformation, data structures, metadata, dependency and workload management

• Able to communicate technical results clearly to technical and non-technical stakeholders

• Proven ability to collaborate with technical peers

• Capable of working independently with guidance and as part of a team

• Demonstrate a certain degree of creativity with analytical and problem-solving skills, and a willingness to learn and act on feedback

• Developing knowledge of methodologies, tools, best practices and processes within specific area of responsibility

Agency and Third-Party Submissions: Please note this is a direct search by the Company, and applications through agencies and other third parties will not be accepted, nor will fees be paid for unsolicited resumes. Any unsolicited resumes will be considered the Company's property.

We know there's a lot to consider. As you go through the application process, our recruiters will be glad to provide guidance, and more relevant details to answer any additional questions. Thank you again for your interest in Royal Caribbean Group. We hope to see you onboard soon!

It is the policy of the Company to ensure equal employment and promotion opportunity to qualified candidates without discrimination or harassment on the basis of race, color, religion, sex (including pregnancy and related medical conditions), age, national origin, disability, sexual orientation, sexuality, gender identity or expression, marital status, citizenship or immigration status, veteran or military status, or any other characteristic protected by applicable law. Royal Caribbean Group and each of its subsidiaries prohibit and will not tolerate discrimination or harassment.

We are committed to providing reasonable accommodation to support candidates with disabilities during our hiring process. If you need a reasonable accommodation, please reach out to us at hraccess@rccl.com. This email is for disability-related accommodation requests only.

Apply on jobs.royalcaribbeangroup.com About employer

More about this job

Skills

Data engineering
SQL
Python
Reporting
Microsoft Power BI
Manage hospitality revenue
Change management
Communication skills
Machine learning
Statistics
Data visualization
Computer science
NoSQL
Data analysis
R
Work independently
Problem solving

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Work requirements

Jobs in the United States