Delta Jobs

Co-op - Crew Resources - Training Analytics - Pilot Learner Experience and Strategy (Spring, 2025)

United States, Georgia, Atlanta

Flight Ops

22-Jul-2024

Ref #: 25550

LinkedIn Tag: #LI-MP2

How you'll help us Keep Climbing (overview & key responsibilities)

Delta Training Analytics team is seeking highly motivated and data curious Co-Op who is excited to leverage data to improve the Pilot Training Experience. The Co-op will work closely with the teams responsible for the development, design, and delivery of all training for our 16,000+ pilots. In this role you will have the opportunity to provide support with the following:

Learner Insights & Advisory - Focused on deepening understanding of their training experience and championing their needs before, during and post training thru research and insights shared from Learner Feedback. Track and monitor pilot performance against feedback to determine if there is a gap in training programs.

Learner Analytics - Conduct ad hoc analysis to support training curriculum changes or development of new training programs. Help create cross divisional reporting that helps measure training performance and effectiveness. Refresh current dashboards or help develop new widgets/dashboard views. Expand current topic modeling programming to increase accuracy, identify new topics and/or emerging themes.

Learner Experience Strategy & Integration - Support long-term strategy development that includes pilot training journey mapping & touchpoints, expanding Listening Posts, standardization of surveys and new data collection implementation.

The selected candidate must be able to commit to the following Co-op rotation(s):

• Spring, 2025

• Fall, 2025

• Summer, 2026

What you need to succeed (minimum qualifications)

• Experience or a demonstrated interest in data analysis and coding, preferably SQL

• Knowledge of process improvement methodologies, preferred, but not required

• and follow through

• Strong organizational, project management, and personal management skills

• Robust verbal and written communication skills at all levels

• Ability to work well in teams

• Currently must be enrolled full-time and pursuing a bachelor’s degree in Engineering, Computer Science, Data Science, Mathematics/Statistics, Economics or related quantitative field.

• Proficient with Microsoft Windows and strong computer skills with knowledge in Microsoft Office Suite including: Excel, Word, PowerPoint, and Access.

• Consistently prioritizes safety and security of self, others, and personal data.

• Embraces diverse people, thinking, and styles.

• Possesses a high school diploma, GED, or high school equivalency.

• Is at least 18 years of age and has authorization to work in the United States.

What will give you a competitive edge (preferred qualifications)

• Experience performing statistical analysis and modeling (i.e., linear regression, segmentation, non linear predictive regression, operations research, and/or machine learning)

• Experience with coding software (i.e., SQL, SAS, C, Python, VBA, R, etc.)

• Course work in statistics, data science, computer science, operations research, marketing, etc.

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