The Senior Manager, Crew Analytics is responsible for interpreting, analyzing and presenting complex crew and operational data to influence the organization with decision making, strategy formulation, process improvements, and other crew related functions at JetBlue.
Requirements
- Three (3) years of programming experience in Python/R/SQL/SAS
- Three (3) years of data modeling experience
- Proficiency in Microsoft Office Products: Word, Excel, Access, and PowerPoint
- Experience with statistical analyses, mathematical modeling and other quantitative methods
- Experience with Business Intelligence tools
- Experience with database administration
- Experience with data engineering
Responsibilities
- Lead team of engineers and analysts to produce innovative crew related solutions driven by exploratory data analysis from complex and high-dimensional datasets
- Apply knowledge of statistics, computer programming, mathematical modeling, simulation, and advanced quantitative methods to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to problem solving, decision support, and process improvements
- Drive crew data strategy by working closely with IT Data Engineering/Database Administration teams to integrate multiple data sources to single source of truth
- Oversee the building and maintaining of internal crew analytics dashboards using Business Intelligence tools
- Analyze postmortem operational performance for feedback into future planning models and execution
- Propose, develop, and track key performance metrics for crew planning and crew resources
- Support operational and financial efficiency projects and business cases for Flight and Inflight
Other
- Bachelor’s Degree in Mathematics, Operations Research, Business, Statistics, Computer Science, Engineering or a related field; OR demonstrated capability to perform job responsibilities with a combination of a High School Diploma/GED and at least four (4) years of previous relevant work experience
- Six (6) years of analytical and modeling experience
- Four (4) years of demonstrated leadership experience
- Two (2) years of direct managerial experience
- Excellent verbal and written communication skills