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Title:  Senior Analyst RM Optimization (Revenue Management Optimization)

Location: 

Long Island City, NY, US, 11101

Req ID:  22522

Position Title: Senior Analyst Revenue Management Optimization  (Revenue Management Optimization)

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Position Summary

The Senior Analyst, Revenue Management (RM) Optimization plays a key role in shaping and driving JetBlue’s RM system strategy to maximize flight revenue. The Senior Analyst will be responsible for identifying and implementing revenue accretive solutions around the RM system through advanced use of quantitative analysis, statistical techniques, and structured programming languages. The individual will also lead continuous improvement projects and develop key systems reporting, while ensuring best practices across tools.

Essential Responsibilities

· Lead analysis and create models to make robust recommendations and defined processes around the RM system that maximize flight demand forecast accuracy

· Produce insightful tools and reports in Excel and Tableau, leveraging forecasting, market intelligence, and commercial data to drive clear decision-making and strategic direction for system improvement

· Iterate and enhance strategy and forecasting cadence by analyzing flight demand environment and refining system calibration

· Liaise with Business Partners for technical assistance and provide support to system users

· Develop training and best practice processes for system users

· Effectively communicate models and analytical outputs with partners

· Build a sense of trust and partnership across the Revenue Management organization to create a productive workplace while taking ownership of duties in a fast-paced team environment

· Provide leadership and mentorship for analysts across Revenue Management teams

· Other duties as assigned

Minimum Experience and Qualifications

· Bachelor’s Degree in Statistics, Mathematics, Economics, or related quantitative discipline

· Three (3) years of quantitative analysis and analytical modeling experience

· Understanding of machine learning and forecasting techniques

· High proficiency in R, Python, SAS or other programming languages with ability to learn new programs and applications

· Full proficiency in SQL and Excel

· Data curiosity and motivation to develop data-driven solutions

· Ability to work independently and in a team environment

· Excellent verbal and written communication skills

· Must pass a ten (10) year background check and pre-employment drug test

· Must be legally eligible to work in the country in which the position is located

Preferred Experience and Qualifications

· Advanced degree in Statistics, Business, or related quantitative discipline

· Two (2) years Revenue Management or Operations Research experience

· Experience within the airline industry

· Experience deploying machine learning models and applying data science techniques

· Full understanding of the Spotfire or Tableau business intelligence tools

Crewmember Expectations:

· Regular attendance and punctuality

· Potential need to work flexible hours and be available to respond on short-notice

· Well-groomed and able to maintain a professional appearance

· When working or traveling on JetBlue flights, and if time permits, all capable crewmembers are asked to assist with light cleaning of the aircraft

· Must be an appropriate organizational fit for the JetBlue culture, that is, exhibit the JetBlue values of Safety, Caring, Integrity, Passion and Fun

· Promote JetBlue’s #1 value of safety as a Safety Ambassador, supporting JetBlue’s Safety Management System (SMS) components, Safety Policy and behavioral standards

· Identify safety and/or security concerns, issues, incidents or hazards that should be reported and report them whenever possible and by any means necessary including JetBlue’s confidential reporting systems (Aviation Safety Action Program (ASAP) or Safety Action Report(SAR))

Equipment:

· Computer and other office equipment

Work Environment:

· Traditional office environment

Physical Effort:

· Generally not required, or up to 10 pounds occasionally, 0 pounds frequently. (Sedentary)


Nearest Major Market: Brooklyn
Nearest Secondary Market: New York City

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