To optimize the efficiency and effectiveness of airline operations through data analysis and insights.
Requirements
- Proficiency in programming languages such as Python or R
- Experience with data visualization tools like Shiny, Tableau, or PowerBI
- Proficiency in SQL for querying and managing relational databases
- Solid foundation in statistical analysis, hypothesis testing, and experimental design
- Proficient in Microsoft Office Suite
Responsibilities
- Develop and maintain dashboards and reports to provide actionable insights to management and operational teams
- Deliver ad-hoc analyses for operational, commercial, and administrative projects
- Build processes and procedures for proper analyses
- Develop dashboards and metrics for daily, weekly, and monthly reporting
- Analyze metrics related to departure completion, departure and arrival performance, block performance, fuel usage and other related metrics
- Monitor key performance indicators (KPIs) to identify trends, anomalies, and areas for improvement
- Ensure underlying operational databases are complete, accurate, and consistent for full historical reporting and analyses
Other
- High performance orientation, ability to work well under pressure, prioritize projects, meet deadlines, and maintain flexibility
- Strong attention to detail, organization, and time management skills
- Excellent communication and presentation abilities
- Ability to break ambiguity into solvable parts
- Exceptional communication skills
- Demonstrated ability to manage multiple projects simultaneously
- Ability to build and maintain relationships within the organization
- Practices extreme ownership and transparency
- Bachelor's degree in Data Science, Statistics, Data Analytics, or a related field
- 3+ years of experience in data science, machine learning, or advanced analytics
