Jobs at Princess Cruises (Now Hiring) — 24 open

The Onboard Revenue Senior Analyst is responsible for leveraging data analytics and advanced modeling techniques to drive revenue optimization and enhance the guest experience across onboard operations. It involves analyzing complex data sets, developing predictive models, and maintaining robust data infrastructure to support strategic decision-making. The Onboard Revenue Data Scientist will work closely with revenue management, onboard operations, marketing, finance, and IT teams to uncover insights, streamline processes, and implement data-driven solutions that align with business goals. The ideal candidate will have strong analytical skills, experience with machine learning and data visualization, and a collaborative mindset to thrive in a cross-functional environment.

Essential Functions:

• Analyze complex datasets from various onboard revenue streams to uncover trends, patterns, and opportunities for revenue growth. Develop comprehensive reports and dashboards that deliver actionable insights to revenue managers, operations teams, and senior leadership. Through exploration data analysis, the role examines guest behavior, spending habits, and service utilization across different cruise itineraries and demographics. Statistical analysis is used to evaluate the effectiveness of pricing strategies, promotional campaigns, and service offerings on both guest satisfaction and revenue performance.

• Maintain and enhance data quality across multiple revenue tracking systems, ensuring accuracy and consistency in all reporting efforts. Develop and implement data validation processes to detect and resolve integrity issues, as well as documenting data sources, definitions, and analytical methodologies. Collaboration with IT teams is essential to optimize data collection processes and improve accessibility. Additionally, the role involves designing and implementing automated data pipelines to streamline reporting and analytical workflows, supporting a more efficient and scalable data infrastructure.

• Researching and prototyping machine learning models aimed at improving demand forecasting, dynamic pricing, and guest behavior prediction. The development of recommendation systems is a key focus, enhancing the guest experience and boosting onboard spending through personalized service suggestions. Predictive models are also implemented to optimize inventory management across retail, dining, and spa services. Explores advanced analytics techniques such as customer segmentation, lifetime value modeling, and churn prediction. Staying informed on emerging AI technologies and evaluating their potential applications within cruise revenue operations is a continuous responsibility.

• Collaborate with various departments to ensure data-driven decision-making across the organization. This includes partnering with revenue managers to align analytical efforts with business objectives and working closely with onboard operations teams to understand guest journey touchpoints and identify areas for optimization. The position also supports marketing teams in evaluating the effectiveness of promotional campaigns and guest engagement strategies, and assists finance teams with revenue forecasting and performance analysis. Participation in cross-departmental projects is essential to foster a culture of data-informed strategy and continuous improvement.

Knowledge, Skills & Abilities:

• Scope: This role will work with diverse datasets encompassing guest spending patterns, onboard service utilization, dining preferences, entertainment engagement, retail sales, spa services, and excursion bookings. The Data Scientist is the forefront of transforming our department's analytical capabilities, helping us evolve from traditional reporting to advanced machine learning and AI-powered insights.

• Problem solving: This role requires advanced problem-solving capabilities, particularly in analyzing large and complex datasets to uncover actionable insights that directly impact onboard revenue strategies. The individual is expected to anticipate business challenges, such as shifts in guest behavior or market dynamics, and apply statistical and machine learning techniques to forecast demand, optimize pricing, and personalize guest experiences. Problem-solving also involves designing scalable data infrastructure and collaborating across departments to ensure data-driven decisions are aligned with operational goals. This role demands a proactive approach to identifying inefficiencies and proposing innovative solutions that enhance both revenue performance and guest satisfaction.

• Impact: This role will contribute to optimizing revenue streams, including specialty dining, beverage packages, retail operations, spa services, shore excursions, casino operations, and entertainment offerings.

Essential/Minimum qualifications:

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering or related quantitative field

• 6+ years of experience with SQL for database querying and data manipulation.

• Experience with SQL for database querying and data manipulation

• Familiarity with data visualization tools such as Tableau, Power BI, or similar platforms

• Understanding of statistical concepts including hypothesis testing, regression analysis, and experimental design

• Basic knowledge of machine learning algorithms and their applications 

Essential experience required:

• Demonstrated ability to work with large, complex datasets and extract meaningful insights

• Strong analytical thinking skills with attention to detail and accuracy

• Experience with data cleaning, preprocessing, and quality assurance techniques

• Ability to identify business problems that can be solved through data analysis

• Comfort working with ambiguous problems and developing structured approaches to analysis

• Love for data analysis

• Experience creating compelling data visualizations and presentations

• Strong interpersonal skills and ability to work effectively in cross-functional teams

• Proactive approach to learning and professional development

• Ability to manage multiple projects simultaneously and meet deadlines

• Ability to create compelling data visualizations and presentations

Travel: No or very little travel likely

Work Conditions:Work primarily in a climate-controlled environment with minimal safety/health hazard potential.

Physical Demands. Must be able to remain in a stationary position at a desk and/or computer for extended periods of time.

This position is classified as “in-office.”  As an in-office role, it requires employees to work from a designated Carnival office in South Florida Monday through Thursday each week. Employees may work from their homes on Fridays.  Candidates must be located in (or willing to relocate to) the Miami/Ft. Lauderdale area. 

Offers to selected candidates will be made on a fair and equitable basis, taking into account specific job-related skills and experience.  

At Carnival, your total rewards package is much more than your base salary. All non-sales roles participate in an annual cash bonus program, while sales roles have an incentive plan. Director and above roles may also be eligible to participate in Carnival’s discretionary equity incentive plan. Plus, Carnival provides comprehensive and innovative benefits to meet your needs, including: 

• Health Benefits: 
  • Cost-effective medical, dental and vision plans 
  • Employee Assistance Program and other mental health resources 
  • Additional programs include company paid term life insurance and disability coverage  
• Financial Benefits: 
  • 401(k) plan that includes a company match 
  • Employee Stock Purchase plan 
• Paid Time Off 
  • Holidays – All full-time and part-time with benefits employees receive days off for 8 company-wide holidays, plus 2 additional floating holidays to be taken at the employee’s discretion.  
  • Vacation Time – All full-time employees at the manager and below level start with 14 days/year; director and above level start with 19 days/year. Part-time with benefits employees receive time off based on the number of hours they work, with a minimum of 84 hours/year. All employees gain additional vacation time with further tenure. 
  • Sick Time – All full-time employees receive 80 hours of sick time each year. Part-time with benefits employees receive time off based on the number of hours they work, with a minimum of 60 hours each year.  
• Other Benefits 
  • Complementary stand-by cruises, employee discounts on confirmed cruises, plus special rates for family and friends 
  • Personal and professional learning and development resources including tuition reimbursement  
  • On-site Fitness center at our Miami campus 

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