Analyst, Revenue

One of the best-known names in cruising, Princess is the world’s leading international premium cruise line and tour company, carrying millions of guests each year to hundreds of destinations around the globe. We give our guests the Medallion Class experience others simply cannot.

About the role

The Analyst, Revenue plays a critical role in supporting the organization’s commercial strategy by securing, analyzing, and interpreting the data that drives revenue decision-making. This role is responsible for maintaining the analytical foundation of the Revenue Performance function, including Destination Fill Plans, market and destination performance insights, offer and promotional analysis, and other key revenue levers.

Responsibilities

• Maintain and enhance dashboards, reports, and data visualizations that support revenue performance monitoring.
• Analyze booking trends, pacing, and demand patterns to inform pricing and promotional strategies.
• Support the development and maintenance of Destination Fill Plans, including weekly performance tracking.
• Conduct market, destination, and offer analysis to evaluate the effectiveness of promotions, boosts, and limited-time offers.
• Partner with Revenue Management, Sales, and Commercial teams to provide data-driven insights and recommendations.
• Ensure data accuracy, consistency, and integrity across all reporting and analytical outputs.
• Monitor fill plan performance and recommend adjustments to pricing, promotions, or inventory availability.
• Performs other duties as assigned.

Requirements

• Bachelor’s degree in Business, Economics, Finance, Data Analytics, Statistics, or a related field. Equivalent work experience may be considered.
• 1–3 years of experience in analytics, revenue management, commercial strategy, finance, or a similar quantitative role.

Skills

• Strong analytical and critical-thinking skills with the ability to interpret complex data sets.
• Proficiency in Excel (pivot tables, lookups, modeling) and experience with data visualization tools (e.g., Tableau, Power BI).
• Familiarity with SQL, Python, or other analytical tools used for data extraction and transformation (basic competency is acceptable; willingness to learn is essential).
• Ability to communicate insights clearly to both technical and non-technical audiences.
• Strong attention to detail and commitment to data accuracy and integrity.
• Ability to manage multiple priorities in a fast-paced, dynamic environment.
• Demonstrated ability to work collaboratively across teams and functions.
• Curiosity/experience with AI tools.
• Experience working with large data sets and performing quantitative analysis in a business, finance, revenue management, or commercial analytics environment.
• Hands-on experience building and maintaining dashboards or reports using tools such as Tableau, Power BI, or similar visualization platforms.
• Demonstrated ability to analyze trends, pacing, and performance metrics to support pricing, forecasting, or revenue optimization decisions.
• Experience conducting market, product, or promotional performance analysis and translating findings into actionable insights.
• Familiarity with data extraction and manipulation using Excel, SQL, or other analytical tools.
• Prior experience supporting cross-functional teams with data-driven recommendations.
• Experience working in a fast-paced environment with recurring reporting cycles and shifting priorities.
• Proven ability to ensure data accuracy, validate inputs, and maintain high standards of data integrity.

Schedule

This position is hybrid, following the company’s schedule of four days in the office per week (Monday–Thursday). Beginning in 2028, this position will remain on the same Monday–Thursday in-office schedule but will transition to the new headquarters in the Miami, FL area.

Benefits

• Cruise and travel privileges for you and your family.
• Health benefits.
• 401(k).
• Employee Stock Purchase Plan.
• Training and professional development.
• Tuition and professional certification reimbursement.
• Rewards and incentives.