Manager, Strategy and Analytics
Listed on 2025-12-22
-
IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Journey with us! Combine your career goals and sense of adventure by joining our incredible team of employees at Royal Caribbean Group
. We are proud to offer a competitive compensation and benefits package, and excellent career development opportunities, each offering unique ways to explore the world.
We are proud to be the vacation-industry leader with global brands — including Royal Caribbean International, Celebrity Cruises and Silversea Cruises — the most innovative fleet and private destinations, and the best people. Together, we are dedicated to turning the vacation of a lifetime into a lifetime of vacations for our guests.
Royal Caribbean Group’s Global E-Commerce Data and Analytics Team has an exciting career opportunity for a full time Manager, Strategy and Analytic
s reporting to the Senior Director, Marketing and E-Commerce Analytics
.
Our Business Intelligence team seeks a Manager, Strategy & Analytics to drive our loyalty strategy through data-driven insights. Their responsibilities include building dashboards, testing and planning pilots to inform our Loyalty and Targeted Offers strategy, as well as tracking and measuring program performance that determines priorities and decision-making.
They will develop KPIs with the business team to drive performance, isolate trends and predict guest behavior through data. They will also assist in providing competitive analysis and monitoring.
Key ResponsibilitiesTo perform this position successfully, they should be a self-starter able to manage complex projects in a timely and accurate manner. The ideal candidate will be able to communicate effectively to align Loyalty and Business Intelligence priorities and objectives.
- Lead the strategic evolution of Loyalty programs by influencing long‑range planning, including the development of annual operating plans and 5‑ to 10‑year strategic roadmaps.
- Partner closely with Data Science to guide the design and implementation of advanced predictive models and simulations that inform program optimization and member engagement strategies.
- Own the performance measurement framework for the Co‑Brand credit card program, including dashboard creation, financial tracking, and KPI reporting to senior stakeholders.
- Drive innovation through the ideation, definition, and evaluation of Loyalty program pilots, ensuring alignment with broader business goals and customer insights.
- Deliver timely, actionable insights through ad‑hoc data analysis and reporting to support Loyalty initiatives and cross‑functional decision‑making.
- Manage the end‑to‑end Targeted offers campaign lifecycle for targeted promotions, including maintaining the monthly promotion calendar and aligning with Revenue Management on commercial priorities.
- Forecast booking volume and campaign impact using historical data and predictive analytics to inform offer strategy and resource allocation.
- Build and maintain a robust backlog of testable campaign concepts, leveraging guest behavior data to drive personalization and performance.
- Oversee the development and maintenance of Power BI dashboards and SQL‑based data pipelines to ensure accurate and timely reporting of promotional performance.
- Serve as a key contributor in Targeted Offer planning forums, providing strategic guidance, historical context, and performance insights to shape monthly campaign execution.
- 8+ years of work experience required, with experience performing either strategic digital analysis, financial analysis, or business intelligence/marketing analytics highly preferred.
- Experience in travel/leisure hospitality is preferred.
- Bachelor’s degree in Economics, Business, Finance, Analytics, Computer Science, Mathematics, or similar.
- MBA or relevant master’s degree preferred.
- Passionate about economic, business, analytics, loyalty & financial concepts, as well as a subject matter expert in analytical tools.
- Thought leader who can derive insights and drive results in a dynamic and fast‑paced environment.
- Demonstrate ability to think beyond raw data and to understand the underlying business context…
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