Analyst 1

Title: Analyst 1

Location: Nashville, Tennessee, 37209

Duration: 5 Months

Work Schedule: Monday - Friday (8:00 Am - 4:30 Pm)

Note:

• Hybrid position - Report to office at least twice a week with Monday's being required and the 2nd day is flexible.
• 7.5 hrs/day. Work from home 3 days/w

Summary:

The main duty of this position will be tracing pavement cracks from airfield pavement images. This work will help the Division develop a machine-learning tool to better identify pavement cracks and support future pavement maintenance decisions.

Primary Duties:

• Review pavement images and trace visible cracks.
• Label crack data using Division guidance.
• Help organize completed image files and tracking logs.
• Identify unclear images or issues for staff review.
• Support quality control of crack-tracing work.

Secondary Duties:

• Serve as a visual observer during drone flights.
• Watch the drone, surrounding airspace, people, vehicles, and airport activity.
• Communicate with the drone pilot and field staff during flights.
• Help with basic field notes, photos, and data organization.
• File, scan, rename, and organize project documents.
• Assist with spreadsheet updates and data entry.
• Perform other related support tasks as assigned.

Minimum Qualifications:

• High school diploma or equivalent.
• Basic computer skills.
• Strong attention to detail.
• Ability to follow instructions.
• Ability to work independently after training.
• Ability to work in an office setting and occasionally in the field.
• Valid driver's license preferred.

Preferred Skills:

• Experience with Excel, SharePoint, OneDrive, Teams, or similar tools.
• Interest or experience in drones, aviation, pavement, GIS, CAD, construction, or data entry.
• Ability to stay organized and complete repetitive tasks accurately.

Work Environment:

Most work will be computer-based. Some work may occur at airports and may include walking, standing, heat, sun, wind, aircraft activity, and active pavement areas.

Purpose:

This position supports airport pavement program by helping create accurate data for a machine-learning tool that can improve pavement inspections, maintenance planning, and long-term asset management.