Senior Analyst, Onboard Revenue (CCL)

At Carnival Cruise Line, this role drives revenue optimization and enhances guest experience through data analytics and advanced modeling across onboard operations.

About the role

You will analyze complex datasets, develop predictive models, and maintain robust data infrastructure to support strategic decision-making. Working closely with revenue management, onboard operations, marketing, finance, and IT teams, you’ll uncover insights, streamline processes, and implement data-driven solutions aligned with business goals. This position is classified as “in-office” and requires working from a designated Carnival office in South Florida Monday through Thursday, with remote work on Fridays. Candidates must be located in (or willing to relocate to) the Miami/Ft. Lauderdale area.

Responsibilities

• Analyze complex datasets from onboard revenue streams to uncover trends, patterns, and opportunities for revenue growth.
• Develop comprehensive reports and dashboards delivering actionable insights to revenue managers, operations teams, and senior leadership.
• Examine guest behavior, spending habits, and service utilization across cruise itineraries and demographics through exploratory data analysis.
• Evaluate the effectiveness of pricing strategies, promotional campaigns, and service offerings on guest satisfaction and revenue performance using statistical analysis.
• Maintain and enhance data quality across multiple revenue tracking systems, ensuring accuracy and consistency in reporting.
• Develop and implement data validation processes to detect and resolve integrity issues, and document data sources, definitions, and analytical methodologies.
• Collaborate with IT teams to optimize data collection processes and improve accessibility.
• Design and implement automated data pipelines to streamline reporting and analytical workflows, supporting a scalable data infrastructure.
• Research and prototype machine learning models to improve demand forecasting, dynamic pricing, and guest behavior prediction.
• Develop recommendation systems to enhance guest experience and boost onboard spending through personalized service suggestions.
• Implement predictive models to optimize inventory management across retail, dining, and spa services.
• Explore advanced analytics techniques such as customer segmentation, lifetime value modeling, and churn prediction.
• Stay informed on emerging AI technologies and evaluate their potential applications within cruise revenue operations.
• Collaborate with revenue managers to align analytical efforts with business objectives.
• Partner with onboard operations teams to understand guest journey touchpoints and identify areas for optimization.
• Support marketing teams in evaluating the effectiveness of promotional campaigns and guest engagement strategies.
• Assist finance teams with revenue forecasting and performance analysis.
• Participate in cross-departmental projects to foster a culture of data-informed strategy and continuous improvement.

Requirements

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field.
• 6+ years of 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.
• 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 solvable through data analysis.
• Comfort working with ambiguous problems and developing structured approaches to 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.

Scope

This role works with diverse datasets encompassing guest spending patterns, onboard service utilization, dining preferences, entertainment engagement, retail sales, spa services, and excursion bookings. You will transform the department’s analytical capabilities, evolving 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. You will 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 align with operational goals. A proactive approach to identifying inefficiencies and proposing innovative solutions is essential.

Impact

This role contributes to optimizing revenue streams, including specialty dining, beverage packages, retail operations, spa services, shore excursions, casino operations, and entertainment offerings.

Benefits

• Annual cash bonus program (all non-sales roles) or incentive plan (sales roles).
• Director and above roles may participate in a discretionary equity incentive plan.
• Comprehensive health benefits: cost-effective medical, dental, and vision plans, plus an Employee Assistance Program and other mental health resources.
• Company-paid term life insurance and disability coverage.
• 401(k) plan with company match.
• Employee Stock Purchase plan.
• Paid time off: 8 company-wide holidays plus 2 floating holidays, vacation time starting at 14 days/year (manager and below) or 19 days/year (director and above), and 80 hours of sick time annually (full-time employees).
• Complementary stand-by cruises, employee discounts on confirmed cruises, and special rates for family and friends.
• Personal and professional learning and development resources, including tuition reimbursement.
• On-site Fitness center at the Miami campus.

Schedule

In-office role based in South Florida, Monday through Thursday. Remote work on Fridays.