Co-op: Schedule Analytics & Tableau Dashboards

Delta Air Lines

Atlanta (GA)

On-site

USD 20,000 - 27,000

Part time

30 hours ago
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Job summary

Delta Air Lines is seeking a Co-op to join the Schedule Analytics team in Network Planning in Atlanta, GA. This role supports development and maintenance of reports guiding passenger schedules, using dashboards, spreadsheets, presentations, and formatted emails to communicate capacity and constraints.

Ideal candidates love working with data, have an eye for detail, are curious and analytical, and can present solutions creatively as they rotate through Summer 2027, Spring 2028, and Fall 2028.

Qualifications

  • Must be enrolled as a full-time student pursuing an undergraduate degree.
  • GPA requirement: minimum 3.0 on a 4.0 scale.
  • Available to work full-time for three alternating semesters: Summer 2027, Spring 2028, Fall 2028.

Responsibilities

  • Assist Schedule Analytics Team develop reporting for all NWP divisions.
  • Create and maintain current Tableau dashboards to reflect changing constraints.
  • Interpret and manipulate existing SAS, Alteryx and Python processes.
  • Update Microsoft SharePoint access levels and provide limited user training of the First Proposed Schedule Comment period form and processes.
  • Comfortably query company databases and communicate findings with department leaders.
  • Willingness to listen and understand scheduling constraints, share ideas for possible resolution and construct intuitive reports which quantify, steer and communicate schedule levels.

Skills

Tableau
SAS
Python
Alteryx
SQL
Data analysis
Microsoft Excel
Communication

Education

Undergraduate student

Tools

SharePoint
Microsoft Office

Job description

Delta Air Lines is seeking a Co-op to join the Schedule Analytics team in Network Planning in Atlanta, GA. This role supports development and maintenance of reports guiding passenger schedules, using dashboards, spreadsheets, presentations, and formatted emails to communicate capacity and constraints.

Ideal candidates love working with data, have an eye for detail, are curious and analytical, and can present solutions creatively as they rotate through Summer 2027, Spring 2028, and Fall 2028.

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