Senior Analyst, Onboard Revenue (CCL)

Private Destinations•Miami, FL

15h•Hybrid

About The Position

The Onboard Revenue Senior Analyst is responsible for leveraging data analytics and advanced modeling techniques to drive revenue optimization and enhance the guest experience across onboard operations. It involves analyzing complex data sets, developing predictive models, and maintaining robust data infrastructure to support strategic decision-making. The Onboard Revenue Data Scientist will work closely with revenue management, onboard operations, marketing, finance, and IT teams to uncover insights, streamline processes, and implement data-driven solutions that align with business goals. The ideal candidate will have strong analytical skills, experience with machine learning and data visualization, and a collaborative mindset to thrive in a cross-functional environment.

Requirements

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering or related quantitative field
6+ years of experience with SQL for database querying and data manipulation.
Experience with SQL for database querying and data manipulation
Familiarity with data visualization tools such as Tableau, Power BI, or similar platforms
Understanding of statistical concepts including hypothesis testing, regression analysis, and experimental design
Basic knowledge of machine learning algorithms and their applications
Demonstrated ability to work with large, complex datasets and extract meaningful insights
Strong analytical thinking skills with attention to detail and accuracy
Experience with data cleaning, preprocessing, and quality assurance techniques
Ability to identify business problems that can be solved through data analysis
Comfort working with ambiguous problems and developing structured approaches to analysis
Love for data analysis
Experience creating compelling data visualizations and presentations
Strong interpersonal skills and ability to work effectively in cross-functional teams
Proactive approach to learning and professional development
Ability to manage multiple projects simultaneously and meet deadlines
Ability to create compelling data visualizations and presentations

Responsibilities

Analyze complex datasets from various onboard revenue streams to uncover trends, patterns, and opportunities for revenue growth.
Develop comprehensive reports and dashboards that deliver actionable insights to revenue managers, operations teams, and senior leadership.
Examine guest behavior, spending habits, and service utilization across different cruise itineraries and demographics through exploration data analysis.
Evaluate the effectiveness of pricing strategies, promotional campaigns, and service offerings on both guest satisfaction and revenue performance using statistical analysis.
Maintain and enhance data quality across multiple revenue tracking systems, ensuring accuracy and consistency in all reporting efforts.
Develop and implement data validation processes to detect and resolve integrity issues, as well as documenting data sources, definitions, and analytical methodologies.
Collaborate with IT teams to optimize data collection processes and improve accessibility.
Design and implement automated data pipelines to streamline reporting and analytical workflows, supporting a more efficient and scalable data infrastructure.
Research and prototype machine learning models aimed at improving demand forecasting, dynamic pricing, and guest behavior prediction.
Develop recommendation systems to enhance the guest experience and boost onboard spending through personalized service suggestions.
Implement predictive models to optimize inventory management across retail, dining, and spa services.
Explore advanced analytics techniques such as customer segmentation, lifetime value modeling, and churn prediction.
Stay informed on emerging AI technologies and evaluate their potential applications within cruise revenue operations.
Collaborate with various departments to ensure data-driven decision-making across the organization.
Partner with revenue managers to align analytical efforts with business objectives.
Work closely with onboard operations teams to understand guest journey touchpoints and identify areas for optimization.
Support marketing teams in evaluating the effectiveness of promotional campaigns and guest engagement strategies.
Assist finance teams with revenue forecasting and performance analysis.
Participate in cross-departmental projects to foster a culture of data-informed strategy and continuous improvement.

Benefits

Cost-effective medical, dental and vision plans
Employee Assistance Program and other mental health resources
Company paid term life insurance and disability coverage
401(k) plan that includes a company match
Employee Stock Purchase plan
Paid holidays – All full-time and part-time with benefits employees receive days off for 8 company-wide holidays, plus 2 additional floating holidays
Vacation Time – All full-time employees at the manager and below level start with 14 days/year; director and above level start with 19 days/year. Part-time with benefits employees receive time off based on the number of hours they work, with a minimum of 84 hours/year. All employees gain additional vacation time with further tenure.
Sick Time – All full-time employees receive 80 hours of sick time each year. Part-time with benefits employees receive time off based on the number of hours they work, with a minimum of 60 hours each year.
Complementary stand-by cruises, employee discounts on confirmed cruises, plus special rates for family and friends
Personal and professional learning and development resources including tuition reimbursement
On-site Fitness center at our Miami campus
Annual cash bonus program