Senior Analyst, Revenue Analytics

MSC Cruises • Miami, FL

17h

About The Position

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.

Requirements

• 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.
• US Passport or US Permanent Resident required.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• We are committed to building a future that values diverse perspectives, embraces the world beyond borders, and fosters an inclusive environment where every individual feels valued, respected and empowered to be their authentic selves. Our commitment extends to taking meaningful, measurable actions that have a long-term positive impact on our guests, our employees and our planet.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior