At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. The Pilot Resources Team is looking for a Senior Data Analyst to leverage analytics in bold new ways and shape the future of Pilot Resources.
Requirements
- Proficiency in data analysis tools (e.g., Python, SAS, SQL).
- Advanced level of skill in data manipulation using programming language.
- Ability to create complex queries.
- Strong statistical analysis, predictive modeling, problem solving and organizational capabilities.
- Intermediate to Advanced Excel, PowerPoint, and Microsoft Word.
- Expertise in Python, SAS, SQL or other database interface tools.
- Advanced analytical applications (e.g., simulation, optimization, statistical analysis, optimization, linear regression, machine learning)
Responsibilities
- Think Beyond: Use out-of-the-box analytical approaches wrangle large datasets using Python. SQL, etc. to identify opportunities and understand performance.
- Transform Data into Action: Develop dynamic dashboards, interactive reports, and compelling visualizations that bring operational business insights to life.
- Innovate for the Future: Design predictive models and data-driven solutions to support improvement in Crew Resources, Crew Operations and financial performance.
- Locate and extract data from a variety of sources for use in analysis, models and reporting.
- Tell a Story with Data: Translate complex analytics into impactful insights that shape Delta’s approach to pilot development and operational excellence.
- Break Barriers in Learning Tech: Leverage AI, machine learning, and cutting-edge tools to customize pilot training like never before.
- Support and maintain team ETL popelines to ensure optimized and accurate outputs.
Other
- Bachelor’s degree in Data Analytics, Computer Science, Industrial Engineering, Mathematics/Statistics, Information Science, mathematics, statistics, economics or other relevant quantitative field
- 18+ months in data analysis
- Excellent communication and presentation skills to convey insights to both technical and non-technical audiences.
- Ability to work independently and collaboratively in a fast-paced, dynamic environment.
- Possesses a high school diploma, GED, or high school equivalency.
