D3 Air and Space Operations, Inc. is seeking a full-time, on-site Programmer / Data Analyst to support the Innovation & Readiness Department at Marine Corps Air Station (MCAS) New River, Jacksonville, NC. The position delivers automated applications, readiness assessment tools, and data-driven analysis that improve installation efficiency and directly support Fleet Marine Forces operational readiness. Work is performed Monday?

Friday on a Government-furnished workstation.

Est Start Date:

ASAP. Vacancy opens 24 Sep 2026 Full-Time (40 hrs/wk; 8 hrs/day between 7:00 am?5:00 pm, M?F)

Work Location:

On-site, MCAS New River, Jacksonville, NC Planned Salary Range:

$80,000 ? $90,000 Duties include: Automate repetitive tasks, develop custom functions that extend native Excel capabilities, and build user forms and interactive tools that improve data processing and workflow efficiency. Design, develop, and maintain custom applications that bring innovation and efficiency to existing tenant-unit processes and to requirements with no established process. Design, develop, and maintain data-driven dashboards and digital products using Power Apps, Power BI, Python, and other approved technologies. Work with Air Station staff to identify opportunities and methods for capturing data on Air Station, tenant-unit, and supported-unit readiness programs and initiatives. Design, develop, and adapt mathematical and statistical models to evaluate the probable effects of alternative courses of action and predict the ability to support assigned programs. Provide coordination, research, analysis, and planning for readiness analysis and other data collection and processing programs. Prepare reports and presentations that accurately convey data trends and analyses, including biweekly input to the Commanding Officer?s update brief and monthly input to the Commanding General?s SITREP. Create documentation, user manuals, and training guides for custom applications; develop education and training guidelines for readiness analysis and data collection programs. Research advanced statistical methods for the innovative solution of unique problems.