Senior Analyst, Brand Analytics

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 Commercial Planning Team has an exciting career opportunity for a full time Senior Analyst, Brand Analytics reporting to the Senior Director, Commercial Transformation.

This position will be working onsite from Miami.

The Senior Analyst, Brand Analytics plays a pivotal role in driving commercial decision-making for the Silversea brand across global markets. This role is responsible for developing and maintaining processes for accurate data collection, modelling, analysis, visualization, and reporting. Success in this position requires strong analytical capabilities, a collaborative mindset, and the ability to communicate insights effectively across the organization. The ideal candidate is data-driven, curious, and skilled at identifying trends and translating them into actionable business strategies.

The duties below are the main duties and responsibilities however this job description in no way states or implies that these are the only duties to be performed by the employee occupying this position. Employees will be required to perform any other job-related duties assigned by their supervisor or management.

• Explain how metrics align with business objectives and identify key impact levers for decision-making.
• Break down complex problems into clear hypotheses and select appropriate analytical methods.
• Conduct scenario analysis to quantify ranges, highlight drivers, and recommend next steps.
• Recommend metric refinements and validate denominators, time windows, and filters to ensure accuracy.
• Propose roadmap initiatives based on insights and evolving partner needs.
• Build reusable SQL queries and data views, addressing edge cases and late-arriving data.
• Apply statistical and machine learning methods (e.g., regression, classification, clustering, causal inference) and validate assumptions.
• Design role-based dashboards with parameters, drill-downs, and alerts to enhance usability.
• Implement robust data validation checks, back-tests, and regression checks to ensure quality.
• Translate analysis into clear business implications and propose actionable, testable recommendations.
• Manage scope and expectations effectively, negotiating trade-offs when necessary.
• Collaborate with operations and engineering teams to resolve data issues and ensure smooth delivery.
• Tailor communication to diverse audiences, anticipating objections and aligning stakeholders.
• Mentor junior analysts by modeling best practices and providing constructive feedback.
• Prioritize high-impact tasks and defer low-value work to maximize efficiency.
• Create documentation such as read-me files, data dictionaries, and run-books for transparency.
• Lead enablement sessions and iterate based on feedback to drive adoption of analytics solutions.
• Foster a data-driven culture by introducing lightweight rituals (e.g., show-and-tell sessions, tips & tricks).
• Suggest pragmatic improvements that advance the analytics vision and operating model.

• Bachelor’s degree in Analytics, Mathematics, Statistics, Business, Finance, or a related field.
• Minimum 3 years of experience in commercial planning, budgeting, forecasting, and financial modeling in fast-paced environments.
• Proven ability to deliver results with consistency, precision, and timeliness.
• Strong experience designing, building, and reviewing financial models for strategic initiatives.
• Ability to quickly learn and adapt to new challenges and business needs.
• Experience working in…