Analyst, Customer Insights & Data Analytics

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: We are seeking an Analyst – Customer Insights & Data Analytics to join our Revenue Management team! This Analyst role is responsible for transforming data into actionable insights that support vacation planning, customer demand, and commercial decisionmaking. This role sits within a centralized team of Data Analysts and Data Scientists, sharing common data assets, tools, and standards, while maintaining a dedicated partnership with the Vacation Planning team. The ideal candidate has a strong data analytics or data science background, is comfortable working with business stakeholders, and excels at turning complex data into clear, decisionready insights. This role is crucial in driving data-informed and AI augmented decision-making across inbound, outbound, and onboard service & sales operations. The individual will also have projects related to data science structure and analytics automation.

Requirements

Minimum of 3-5 years of data science, business intelligence, or vacation planning / call center experience
Bachelor’s degree in an analytical field (e.g. statisics, data science, data analytics)
Experience in Cruise, Travel, Hospitality, or transportation industry strongly preferred
Experience in a sales environment or call center beneficial but not required
Strong analytical, quantitative, and problem solving skills with a business mindset
Proficiency preferred 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 forecasting and demand management concepts
Strong organization, technical aptitude, management and collaboration skills.
Ability to communicate complex analysis in clear, actionable terms

Responsibilities

Apply statistical analysis, forecasting techniques, and exploratory data analysis to business problems
Develop analytical models, dashboards, and tools to support revenue optimization
Design, build, and maintain dashboards, reports, and selfservice analytics to support business decisionmaking
Analyze customer behavior, booking patterns, preferences, and trends related to vacation planning
Translate business questions into analytical approaches and data requirements
Ensure data accuracy, consistency, and alignment with enterprise metrics and definitions
Automate recurring reports and analyses to improve efficiency and scalability
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
Act as a primary analytics partner to the Vacation Planning team.
Support planning, forecasting, and performance analysis related to vacation products, itineraries, destinations, and customer journeys.
Provide insights into demand drivers, conversion, customer engagement, product performance, and incentive payments.
Assist with adhoc analysis, presentations, and executive summaries for planning and commercial reviews.
Proactively identify opportunities to improve planning decisions through data.
Leverage AI tools and advanced analytics to uncover customer behavior patterns, booking trends, and revenue opportunities.
Develop customer insights frameworks that translate raw data into meaningful, actionable business recommendations.
Deliver proactive, forward-looking insights (not just retrospective reporting), including predictive indicators for sales performance, staffing needs, and guest demand.
Integrate AI capabilities into dashboards (e.g., trend detection, anomaly alerts, next-best-action recommendations).
Continuously evolve dashboards to include predictive analytics, scenario modeling, and automated insights generation.
Train team leads, supervisors, and managers on how to interpret dashboard and leverage insights.

Benefits

For full-time employees, Windstar offers a comprehensive benefits package including: Medical, Dental & Vision; HSA & FSA; Life & Disability; Accident, Hospital & Critical Illness; Pet Insurance; Vacation, Sick Time and paid Holidays; 401(k) with Company Match; Employee Assistance Plan; Education Assistance and Employee Discounts & Travel Deals.

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