Hybrid Revenue Optimization Analyst

Carnival Corporation & plc; Miami, Northern (FL, KY); Hybrid; USD 65,000 - 90,000; Full time

Benefits offered by this job

Cruise privileges

Health benefits

401(k)

Stock purchase plan

Training & development

Tuition & certification reimbursement

Rewards & incentives

Job summary

Princess Cruises is seeking an Analyst, Revenue in our Miami office to support pricing strategies, revenue optimization, and performance monitoring. You will build and maintain dashboards, analyze booking trends, and provide data-driven insights to cross-functional teams across Revenue Management, Sales, and Commercial teams.

The role emphasizes data accuracy, multi-priority management, and collaboration in a fast-paced environment with a hybrid in-office schedule.

Qualifications

• Bachelor’s degree in Business, Economics, Finance, Data Analytics, Statistics, or related field.
• 1–3 years of analytics/revenue management experience.

Responsibilities

• Maintain and enhance dashboards, reports, and data visualizations.
• Analyze booking trends, pacing, and demand to inform pricing.
• Support development and maintenance of Destination Fill Plans.
• Evaluate promotions, boosts, and limited-time offers.
• Partner with Revenue Management, Sales, and Commercial teams for data-driven insights.
• Ensure data accuracy and integrity across reporting outputs.
• Monitor fill plan performance and adjust pricing/promotions/inventory.

Skills

Analytical thinking

Excel

Tableau

Power BI

SQL

Python

Communication

Cross-functional collaboration

AI tools curiosity

Education

Bachelor’s degree in Business/Finance/Data Analytics

Tools

Tableau

Power BI

SQL

Job description

Princess Cruises is seeking an Analyst, Revenue in our Miami office to support pricing strategies, revenue optimization, and performance monitoring. You will build and maintain dashboards, analyze booking trends, and provide data-driven insights to cross-functional teams across Revenue Management, Sales, and Commercial teams.

The role emphasizes data accuracy, multi-priority management, and collaboration in a fast-paced environment with a hybrid in-office schedule.