Your Purpose
The Senior Analyst, Revenue Analytics supports the Commercial leadership and Revenue Management team through portfolio-level analytical work that informs strategic and commercial decision-making. This role focuses on the broader analytical framework the RM team relies on - forecasting, budgeting, promotional effectiveness, deployment analysis, and competitive intelligence - and ensures leadership has the data and insights needed to plan, evaluate, and adjust commercial strategy.
Your Impact
- Lead the analytical build for the revenue forecast and budget, including passenger volume, net revenue per passenger, and total net revenue by market, season, and ship.
- Develop bottom-up and top-down budget models with clearly documented defensible assumptions stress-tested against historical trends.
- Maintain rolling in-year revenue forecasts and prepare variance commentary explaining performance vs. budget for senior leadership.
- Build scenario models to quantify the revenue impact of strategic decisions, including itinerary changes and pricing strategy shifts.
- Measure the effectiveness of promotions by analyzing incremental booking lift, cost-per-booking, and revenue-per-offer relative to non-promotional windows.
- Identify whether promotions are generating net new demand or cannibalizing bookings that would have materialized at full fare.
- Track promotional performance across booking windows to assess whether discounting is occurring at the right point in the demand curve.
- Produce post-promotion recaps for leadership that summarize outcomes, flag underperforming offers, and recommend adjustments for future campaigns.
- Support deployment and itinerary planning decisions by modeling the commercial implications of ship assignments, port changes, and season length adjustments.
- Analyze historical revenue performance by itinerary type, departure port, and season to identify deployment configurations that maximize portfolio yield.
- Quantify the revenue trade-offs between deployment options, including cannibalization risk when multiple ships operate overlapping itineraries.
- Partner with the Manager to prepare commercial inputs for deployment reviews, translating analytical findings
- Maintain an ongoing competitive tracking framework monitoring pricing, capacity, and promotional activity across major cruise lines on overlapping itineraries.
- Identify competitive pricing gaps - where MSC Cruises is materially over- or underpriced relative to the competitive set - and flag implications for the RM team.
- Track competitor deployment changes and capacity additions that may affect demand in key markets, providing advance warning of competitive pressure.
- Synthesize competitive intelligence into regular briefings
- Design and maintain the RM team's performance dashboards, giving leadership a consistent portfolio-level view of occupancy, net revenue, and pace; as well as providing product analysts all metrics needed to evaluate performance at sailing level.
- Develop KPI frameworks that measure RM effectiveness beyond load factor, including NPD trends, close-in pricing discipline, and yield vs. prior year.
- Produce analytical narratives that explain what happened, why it happened, and what the team should consider doing in response.
- Conduct ad-hoc analyses and data forensics
- Partner with BI and data teams to ensure Revenue Management has access to clean, reliable, and timely data for all analytical workstreams.
- Identify gaps in existing reporting and tooling; propose and implement improvements that increase the team's analytical capacity and self-service capability.
- Document model methodologies, data definitions, and analytical logic so work is auditable, repeatable, and transferable across the team.
Your Journey so far
- Bachelor's degree in Economics, Finance, Statistics, Mathematics, Business Analytics, or a related quantitative discipline.
- 4+ years of experience in Revenue Analytics, Commercial Finance, Pricing Analytics, or a related field; cruise, hospitality, airline, or travel industry experience strongly preferred.
- Demonstrated experience building forecasting or demand models, with a track record of improving forecast accuracy and translating model outputs into business recommendations.
- Experience supporting an annual budget or forecasting cycle in a commercial or revenue function, including variance analysis and scenario modeling.
- Advanced proficiency in Microsoft Excel and Power BI with DAX; experience building dashboards consumed by senior leadership.
- Proficient SQL writer; comfortable querying and transforming large datasets independently.
- Strong written and verbal communication skills; able to present complex findings clearly to non-technical senior audiences.
- Experience with Python or R for statistical modeling or automation preferred.
- Familiarity with cruise or hospitality revenue management concepts preferred.
- Experience with SAP Business Objects or Tableau a plus.
COMPETENCIES
- Analytical rigor - builds models that explain why something is happening and predict what comes next, not just describe what already occurred.
- Commercial curiosity - genuinely interested in how pricing, deployment, and competitive dynamics interact to drive revenue outcomes.
- Communication - translates quantitative work into clear narratives; as comfortable in a leadership presentation as in a model review.
- Independence - manages multiple concurrent workstreams with minimal supervision and delivers reliably against deadlines.
- Collaboration - builds effective working relationships across Finance, Sales, Marketing, and IT to get the data and context needed to do the work well.
Your Essentials
- US Passport or US Permanent Resident required.
