Senior Manager, Business Analytics

Carnival Corporation•Miami, FL

9d•Hybrid

About The Position

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 can’t. The Love Boat promises something for everyone. The Senior Manager Business Analytics is responsible for using large data sets and complex analysis to answer urgent questions about revenue management. This role involves agile management of a data analytics team to deliver timely, actionable insights. The Senior Manager Business Analytics will work closely with Vice Presidents, Associate Vice Presidents, Directors, and Managers in Revenue Management, as well as the Data Science and Business Intelligence teams, to translate complex business questions into analytical solutions that inform pricing decisions, optimize net ticket revenue, occupancy, and yield, and support revenue-management strategy. The ideal candidate will have strong analytical and problem-solving skills, experience leading analytics teams and complex projects, proficiency in experimental design and working with structured and unstructured data, and the ability to communicate clear recommendations to senior stakeholders.

Requirements

Bachelor's degree from an accredited institution in Data Science, Analytics, Statistics, Mathematics, Economics, Computer Science, or a closely related quantitative field.
At least 10 years of progressively responsible experience in business analytics, data science, business intelligence, revenue management, pricing analytics, or a related quantitative field.
Demonstrated experience leading analytics teams, setting priorities, coaching experienced analysts, and managing performance and professional development.
Experience translating ambiguous business questions into analytical objectives, testable hypotheses, and actionable recommendations.
Experience analyzing large, complex structured and unstructured data sets to support pricing, revenue, or other commercial decisions.
Experience designing and evaluating A/B tests or comparable experimental and causal-analysis approaches.
Demonstrated ability to influence senior leaders by communicating complex analytical findings clearly and connecting insights to measurable business outcomes.
Experience managing multiple high-priority analytical projects and stakeholder requests in a fast-paced environment.
Understanding of workplace policies and procedures
Familiarity with team collaboration tools and techniques.
Strong time management and organizational skills
Ability to maintain reliable and consistent attendance
Capacity to be punctual and meet deadlines
Ability to collaborate effectively with colleagues and work as part of a team
Demonstrated professionalism in all interactions and tasks.

Responsibilities

Lead and develop the Business Analytics team, setting priorities, allocating work, coaching senior analysts, and managing goals and performance to deliver timely, high-quality analysis.
Translate loosely defined revenue-management questions into clear analytical objectives, testable hypotheses, and rigorous approaches that address business complexity and stakeholder needs.
Lead complex analysis of large structured and unstructured data sets—including pricing, booking, promotion, channel, market, and marketing information—to identify opportunities and risks affecting net ticket revenue, occupancy, and yield.
Design, oversee, and evaluate A/B tests and other analytical methods to measure market response, validate revenue-management strategies, and improve the quality of pricing decisions.
Present findings to senior executives to guide discussion on changes.
Partner with Revenue Management Vice Presidents, Associate Vice Presidents, and cross-functional stakeholders to prioritize requests, challenge assumptions, communicate findings clearly, and convert analysis into actionable pricing and revenue strategy recommendations.