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The Revenue Science Analyst is responsible for developing and enhancing advanced demand monitoring and customer behavior models to support revenue forecasting, executive reporting, and strategic decision-making. This role provides consulting support and tools to improve analyst performance and revenue maximization, while ensuring models reflect real-world behavior and business dynamics. The Analyst collaborates with product teams and leadership to validate model outputs and translate complex concepts into actionable insights. The ideal candidate is a self-starter with strong analytical and communication skills, capable of leading cross-functional projects and defining business problems with minimal guidance.
Job Responsibility:
Develop and enhance advanced demand monitoring and customer behavior models to support revenue forecasting, executive reporting, and strategic decision-making
Provide consulting support and tools to improve analyst performance and revenue maximization
Ensure models reflect real-world behavior and business dynamics
Collaborate with product teams and leadership to validate model outputs and translate complex concepts into actionable insights
Develop tools/reports for analysts and management to monitor business trends, forecasts, and customer behavior
Consult/train analysts and management on use of science models and tools
Provide assistance to upper management by way of ad hoc analyses to answer a variety of business-related questions making data-driven decisions
Requirements:
Minimum of 5+ years’ experience preferred within a large corporation practicing revenue management science/data science or academic research on revenue management models and systems
Master's degree in quantitative discipline such as Operations Research, Decision Science, Industrial Engineering, Applied Math or related field
Ability to apply operations research and other advanced methodologies, such as forecasting, statistics, econometric modeling, linear programming and other optimization algorithms, and other quantitative techniques to develop models and methods to maximize revenues
advanced programming
Experience with Operations Research and Statistics software/packages/tools
Highly skilled in SQL required
Exposure to SAS, Python, R, Tableau preferred
What we offer:
Health Benefits: Cost-effective medical, dental and vision plans, Employee Assistance Program and other mental health resources, company paid term life insurance and disability coverage
Financial Benefits: 401(k) plan that includes a company match, Employee Stock Purchase plan
Paid Time Off: Holidays, Vacation Time, Sick Time
Other Benefits: 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