Princess Cruises Rotational Analyst Program

Job Description

Location:

Miami or Fort Lauderdale, FL
• Start Dates:
July 2026
• Program Type:
Full-time, 18-month cohort-based rotational program

Ready to explore the business behind unforgettable vacations? The Rotational Analyst Program is a full‑time rotational program located in Princess Cruise Line’s Miami and Fort Lauderdale, FL headquarters designed to provide selected candidates with an in‑depth experience rotating across three areas of our business over a total of 18 months. Selected candidates will sharpen their analytical and project skills while gaining real‑world experience in the cruise line industry.

The goal of the program is to fast‑track individuals into a successful career at Princess Cruise Line with the knowledge and professional insight gained through this unique experience. Upon successful completion of the program, analysts transition into full‑time opportunities at Princess based on the experiences gained over the 18 months.

• Cross‑Functional Experience
• Rotate through three 6‑month assignments in departments such as Strategy, Maritime, Finance, Marketing, Guest Experience, Itinerary Planning, eCommerce, and more to explore Princess’s business and discover your strengths.
• Skill Development – Build analytical, strategic, and communication skills through technical training, business workshops, and hands‑on projects—with regular feedback and coaching.
• Professional Connections – Expand your network through cohort activities, executive sessions, and cross‑department collaboration.

• Graduation Date:
  December 2025 or May 2026 preferred (or within 1 year of graduation).
• Education:
  
  Bachelor's or Master's degree in business, Analytics, Engineering, or related fields from an accredited institution. Open to all majors with relevant experience.
• GPA:
  Minimum 3.5 cumulative GPA.
• Internship
  
  Experience:
  
  1–2 professional internships demonstrating analytical project work and strategic planning or project management, and leadership experience through team‑based projects, internships, or personal initiatives.

• Strong interest in careers in Business Analytics, Data Analytics, and Project Management.
• Proficiency in Microsoft Excel and PowerPoint.
• Clear and effective communication skills, both written and verbal, with the ability to engage across all levels of a professional organization.
• Collaborative, polished, and driven team player.

• Familiarity with or interest in analytics tools such as Power BI, Tableau, SQL, or SAS, or Project Management tools such as MS Project and Smartsheet.
• Demonstrated leadership through campus involvement, student organizations, or volunteer work.
• Exposure to Microsoft Office Suite and basic project management methodologies.

• Itinerary Planning Analyst – Help decide where to deploy one of the largest fleets in the cruise industry to maximize profitability; learn about more than 100 global travel destinations and where Carnival’s guests prefer to go; develop strategies to attract 5 million guests in North America and international markets annually.
• Guest Experience and Product Analyst – Create models to benchmark guest satisfaction and driving behaviors of the guest experience; identify driving experiences when cruising and devise changes that would improve our onboard satisfaction outcomes; analyze product offering between Carnival ships and competitors to identify areas of opportunity to invest in additional products and services onboard.
• CRM & Marketing Analyst – Collect, analyze, and summarize data using a variety of analytics tools to derive insights and highlight CRM performance; use advanced tools to determine which potential guests are eligible for targeted offers; design, implement, and track programs to attract specific guests to purchase tickets and drive onboard revenue performance.
• Business Intelligence Analyst – Analyze and improve targeting of guests in Carnival’s guest database to enhance booking conversion on targeted offers; develop tools to extract, transform and analyze data, using tools such as Python, Google Analytics, SAS, and Tableau;…