Senior Analyst, Data Science & Revenue Management

Windstar Cruises•Miami, FL

About The Position

Awarded World’s Best Small Ship Cruise line, Windstar Cruises is known for intimate yacht style experience and unique voyages to the world’s best small ports and hidden harbors. Its three sailing yachts and four all-suite yachts carry just 148 to 342 guests and cruise around the world. Our mission is to imagine and deliver personalized and immersive experiences 180 degrees from ordinary. We enrich people’s perspective through inspired travel. Our Mission: We imagine and deliver personalized and immersive experiences 180 degrees from ordinary Our Vision: Enriching people’s perspective through inspired travel Our Values: Welcoming, Innovative, Now, Discipline, Serve, Teamwork, Authentic, Responsible Job Summary: The Senior Analyst, Data Science & Revenue Management, is a hybrid role that combines advanced analytics and data science with commercial decisionmaking in the cruise sector. This role spends approximately 65% of time applying analytics and data science to drive actionable business insights and 35% of time supporting revenue management functions (pricing, forecasting, deployment, and performance analysis). This individual will act as a bridge between business and data, translating commercial questions into analytical solutions and ensuring insights are practical, measurable, and adopted by stakeholders.

Requirements

5-8 years of data science, business intelligence, or revenue management experience
Bachelor’s degree in an analytical field (e.g. statisics, data science, revenue management)
Strong analytical, quantitative, and problem solving skills with a business mindset
Proficiency in analytical tools such as: Python or R SQL BI and Data visualization (e.g. Power Bi, Tableau, etc)
Understanding of database structure and data management
Understanding of pricing, forecasting, and demand management concepts
Strong organization, technical aptitude, management and collaboration skills.
Ability to communicate complex analysis in clear, actionable terms

Nice To Haves

Experience in Cruise, Travel, Hospitality, or transportation industry strongly preferred

Responsibilities

Apply statistical analysis, forecasting techniques, and exploratory data analysis to business problems
Develop analytical models, dashboards, and tools to support revenue optimization
Implement and validate KPIs and measures on the centralized data model and semantic layer
Support validation and UAT of new data pipelines
Automate recurring analyses and reporting to improve efficiency and consistency
Validate data quality and ensure analytical outputs align with business reality
Communicate insights clearly through visualizations and executiveready summaries
Improve documentation and knowledge transfer for analytics consumers
Provide business intelligence through dashboards
Be an analytics partner for Accounting and Revenue translating business questions into analytical requirements and ensuring outputs align with approved definitions
Support pricing, yield, and deployment decisions across itineraries, sailings, and cabin categories
Analyze booking trends, pickup, load factors, and revenue performance
Assist in demand forecasting, scenario analysis, and whatif modeling
Partner with commercial teams, as needed for to drive tactical and strategic decisions