Senior Analyst, Onboard Revenue (CCL)

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. Essential Functions: 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. Through exploration data analysis, the role examines guest behavior, spending habits, and service utilization across different cruise itineraries and demographics. Statistical analysis is used to evaluate the effectiveness of pricing strategies, promotional campaigns, and service offerings on both guest satisfaction and revenue performance. 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. Collaboration with IT teams is essential to optimize data collection processes and improve accessibility. Additionally, the role involves designing and implementing automated data pipelines to streamline reporting and analytical workflows, supporting a more efficient and scalable data infrastructure. Researching and prototyping machine learning models aimed at improving demand forecasting, dynamic pricing, and guest behavior prediction. The development of recommendation systems is a key focus, enhancing the guest experience and boosting onboard spending through personalized service suggestions. Predictive models are also implemented to optimize inventory management across retail, dining, and spa services. Explores advanced analytics techniques such as customer segmentation, lifetime value modeling, and churn prediction. Staying informed on emerging AI technologies and evaluating their potential applications within cruise revenue operations is a continuous responsibility. Collaborate with various departments to ensure data-driven decision-making across the organization. This includes partnering with revenue managers to align analytical efforts with business objectives and working closely with onboard operations teams to understand guest journey touchpoints and identify areas for optimization. The position also supports marketing teams in evaluating the effectiveness of promotional campaigns and guest engagement strategies, and assists finance teams with revenue forecasting and performance analysis. Participation in cross-departmental projects is essential to foster a culture of data-informed strategy and continuous improvement. Knowledge, Skills & Abilities: Scope: This role will work with diverse datasets encompassing guest spending patterns, onboard service utilization, dining preferences, entertainment engagement, retail sales, spa services, and excursion bookings. The Data Scientist is the forefront of transforming our department's analytical capabilities, helping us evolve from traditional reporting to advanced machine learning and AI-powered insights. Problem solving: This role requires advanced problem-solving capabilities, particularly in analyzing large and complex datasets to uncover actionable insights that directly impact