Senior Manager, Analytics - Revenue & Pricing Strategy

Princess Cruises; Miami (FL); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Cruise and Travel Privileges

Health Benefits

401(k)

Employee Stock Purchase Plan

Training & Professional Development

Tuition & Certification Reimbursement

Rewards & Incentives

Job summary

Princess Cruises seeks a Senior Manager of Business Analytics to lead a data analytics team in answering revenue-management questions and informing pricing and yield decisions. This hybrid role collaborates with executives and cross-functional groups to translate complex problems into actionable insights that drive net ticket revenue and occupancy.

The ideal candidate has extensive experience leading analytics teams, strong problem-solving skills, and proficiency in designing experiments and

Qualifications

• Bachelor’s degree in a quantitative field required.
• 10+ years in business analytics, data science, BI or revenue management.
• Experience leading analytics teams and managing multiple projects.
• Ability to translate ambiguous questions into analytical objectives and actionable recommendations.

Responsibilities

• Lead and develop the Business Analytics team, setting priorities and coaching senior analysts.
• Translate revenue-management questions into clear analytical objectives and hypotheses.
• Design, oversee, and evaluate A/B tests and other analytical methods to guide pricing decisions.
• Partner with VP-level stakeholders to convert analysis into pricing and revenue strategy.

Skills

Analytical leadership

Experiment design

A/B testing

Stakeholder communication

Team coaching

Data interpretation

Project prioritization

Education

Bachelor's degree in Data Science/Analytics/Statistics/Math/Economics/CS

Job description

Princess Cruises seeks a Senior Manager of Business Analytics to lead a data analytics team in answering revenue-management questions and informing pricing and yield decisions. This hybrid role collaborates with executives and cross-functional groups to translate complex problems into actionable insights that drive net ticket revenue and occupancy.

The ideal candidate has extensive experience leading analytics teams, strong problem-solving skills, and proficiency in designing experiments and