Holland America Line - Miami, FL

posted 3 months ago

Part-time,Full-time - Principal
Miami, FL
Administrative and Support Services

About the position

The Principal Revenue Management Data Science Analyst at Carnival Cruise Line is responsible for conceptualizing and creating advanced demand monitoring and customer behavior models. This role involves maintaining, enhancing, and improving the accuracy and effectiveness of existing model performance. The analyst will provide consulting advice and tools to improve revenue management analyst performance and revenue maximization, utilizing scientific models to support executive reporting and budget/revenue forecasting. Essential functions of this position include developing and enhancing a variety of mathematical models, which encompasses data collection, analysis, prototyping, testing, creation of production systems, and development of performance metrics. The analyst will monitor model performance, recalibrate, maintain, and recommend design enhancements. Additionally, the role requires developing tools and reports for analysts and management to monitor business trends, forecasts, and customer behavior. The analyst will also aid upper management through ad hoc analyses to address various business-related questions and consult/train analysts and management on the use of scientific models and tools. To be successful in this role, the candidate must possess a Master's Degree in a quantitative discipline such as Operations Research, Industrial Engineering, Applied Math, Decision Sciences, or a related field. A minimum of 7 years of experience is preferred, ideally within a large corporation practicing revenue management or in academic research on revenue management models and systems. The candidate should have experience in building mathematical models utilizing Data Mining, Operations Research, and Statistics techniques, and be proficient in SQL, Python, SAS/SPSS/R, and Tableau desktop. The ideal candidate will be a self-starter who can work well across teams and move projects forward with minimal guidance. They should have the ability to lead medium-to-large sized efforts from inception to completion and understand how various models interact across different subject areas. Strong communication skills are essential, as the analyst must convey complex modeling concepts in easy-to-understand business terminology across various levels of users. The role also requires the ability to define business problems, assess the effectiveness of various modeling approaches, and create structure when existing structures do not already exist.

Responsibilities

  • Conceptualize and create advanced demand monitoring and customer behavior models.
  • Maintain, enhance, and improve the accuracy and effectiveness of existing model performance.
  • Provide consulting advice and tools to improve revenue management analyst performance and revenue maximization.
  • Utilize scientific models to support executive reporting and budget/revenue forecasting.
  • Develop and enhance a variety of mathematical models including data collection, analysis, prototyping, testing, and creation of production systems.
  • Monitor model performance, recalibrate, maintain, and recommend design enhancements.
  • Develop tools and reports for analysts and management to monitor business trends, forecasts, and customer behavior.
  • Aid upper management with ad hoc analyses to answer various business-related questions.
  • Consult/train analysts and management on the use of scientific models and tools.

Requirements

  • Master's Degree in a quantitative discipline such as Operations Research, Industrial Engineering, Applied Math, Decision Sciences, or related field.
  • 7+ years of experience in revenue management or academic research on revenue management models and systems.
  • Experience in building mathematical models utilizing Data Mining, Operations Research, and Statistics techniques.
  • Proficient in SQL, Python, SAS/SPSS/R, and Tableau desktop.
  • Ability to work across teams and move projects forward with minimal guidance.
  • Strong leadership skills to lead medium-to-large sized efforts from inception to completion.
  • Ability to understand and build out the team's analytical and technical framework.
  • Ability to analyze and consider interactions of various business variables and operational considerations.

Nice-to-haves

  • Experience with advanced statistical analysis techniques.
  • Familiarity with machine learning algorithms and their application in revenue management.
  • Knowledge of the cruise industry and its revenue management practices.

Benefits

  • 401(k) matching
  • Dental insurance
  • Disability insurance
  • Employee assistance program
  • Employee discount
  • Employee stock purchase plan
  • Health insurance
  • Paid Time Off
  • Holidays
  • Vacation Time
  • Sick Time
  • Tuition reimbursement
  • On-site preschool program
  • Wellness center
  • Health clinic at Miami campus
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