Senior Analyst, Strategy & Analytics

Royal Caribbean Cruises Ltd-posted 1 day ago

Full-time • Mid Level

Onsite • Miami, FL

5,001-10,000 employees

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This position is for an Insight-Driven Senior Analyst with extensive experience in travel and products analytics. The ideal candidate will specialize in consumer behavior, pricing strategies, and strategic insights that drive financial performance and new revenue streams. The candidate will collaborate closely with cross-functional product and commercial teams to optimize the performance of ancillary travel services bundled with cruise offerings. They will leverage data storytelling, advanced analytics, and visualization tools to translate consumer trends into actionable business strategies. This new position will be reporting to a Manager, Strategy and will collaborate closely with Product Development, Revenue Management, Finance, Marketing, and Guest Experience teams.

Consumer Behavior, Market Insights, and Loyalty Analytics
Product Strategy and Development Support
Pricing and Revenue Optimization
Predictive Modeling and Trend Forecasting
Executive Reporting and Data Storytelling
Travel Attribute Modelling
Customer Segmentation & Conversion Analysis
SQL / Tableau / Power BI / Excel (Advanced)
Financial Performance Reporting
Partner with Product Development and Guest Experience teams to identify and evaluate new auxiliary travel offerings, including Air, Hotel, Private Transfer, Ride Share, and Car Rental Bundles.
Analyze consumer booking trends, spending patterns, and product attachment rates to develop packaging strategies and maximize ancillary revenue per guest.
Leverage loyalty data and traveller profiles to identify behavioral patterns, optimize pricing strategies, and create targeted, value-driven travel product propositions that drive conversion and incremental revenue streams.
Develop dashboards and performance scorecards tracking key KPIs, including conversions, margin contributions, and customer satisfaction.
Lead competitive benchmarking and market research to assess emerging travel service models and partnerships.
Design behavioural segmentation using loyalty data to identify high – status guests with increased ancillary purchase propensity, informing new personalized offer strategies.
Collaborate with Finance and Revenue Management to forecast demand and optimize pricing structures for bundled travel packages.
Translate analytical findings into clear, actionable insights for senior leadership through executive summaries and data visualization presentations.
Responsible for establishing automated dashboards to track trends in customer acquisition and ancillary product performance.
Streamline reporting cadence by developing automated dashboards for leadership visibility into product and channel performance.
Partner with product managers, revenue management, and marketing teams to test new travel packaging offers and measure campaigns ROI.
Conduct root-cause analysis on performance gaps, leading to targeted initiatives that improves conversions.
Deliver behavioural segmentation modelling to identify high value travellers and repeat bookers, informing marketing personalization and pricing tactics.

Bachelor’s degree in business Analytics, Economics, Data Science, Finance, or a related quantitative field.
5+ years of experience in data analytics, strategy, business intelligence, or commercial insights roles.
Proven ability to translate analytical findings into strategic recommendations supporting product development, pricing, and consumer marketing.
Experience in collaborating across Product Development, Finance, and Revenue Management teams to assess product performance and inform go-to-market strategies.
Hands-on experience with data visualization, modelling, and trend forecasting in a commercial or customer-focused setting.
Analytical Expertise: Strong command of SQL, Tableau, Power BI, and advanced Excel for data modelling, segmentation, and performance tracking.
Ability to interpret consumer trends, booking patterns, and loyalty behaviours to identify actionable insights and product opportunities.
Strong understanding of how traveller status and past purchase behaviour influence spending, conversion, and retention.
Experience analyzing demand elasticity and building models to support dynamic and value-based pricing.
Skilled in synthesizing complex datasets into clear, compelling narratives for senior leadership.
Strong understanding of product economics, marketing strategy, and financial performance metrics.
Proven success working with cross-functional teams, presenting analytical findings, and influencing decision-making.
Self-starter with a passion for uncovering consumer insights and transforming data into strategic business impact.

Master’s degree preferred (MBA or MS in Analytics, Data Science, or similar).
Relevant certification in Data Analytics, SQL, Tableau, or Power BI is a plus.
Experience in the travel, hospitality, or transportation industries is preferred but not mandatory. Strong analytical and storytelling capabilities are the key requirements.

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