Dark Horse Tech
Quick Summary
Dark Horse Technologies is seeking experienced Navy and data analytics professionals to support COMNAVSURFLANT Force Generation (FGEN) Analytical Support in Norfolk, Virginia.
Dark Horse Technologies is seeking experienced Navy and data analytics professionals to support COMNAVSURFLANT Force Generation (FGEN) Analytical Support in Norfolk, Virginia. The team will provide analytical expertise to support Surface Force readiness, force generation, resource decision-making, and senior leadership requirements.
These positions will work closely with Navy stakeholders to analyze readiness and operational data across the PESTONI pillars—Personnel, Equipment, Supply, Training, Ordnance, and Infrastructure/Networks—and translate complex information into meaningful analysis, visualizations, risk assessments, and actionable recommendations for decision-makers.
Positions are full-time and onsite in Norfolk, Virginia and require candidates with relevant Navy operational, staff, and/or analytical experience.
• Experience in the United States Navy in as a Post-Command Commander afloat or equivalent.
• Five years’ experience on Echelon 3 or higher staff.
• Five years’ experience in database design and management;
• Five years’ experience in data analysis for complex projects;
• Experience with analyzing specific metrics embedded within the PESTONI (Personnel, Equipment, Supply, Training, Ordnance, Infrastructure/Networks) pillars of analysis;
• Ability to develop a comprehensive understanding of the Surface Force’s business practices, primary (organic) data sources, secondary(non-organic) data needs, data gaps, and organic analytic capabilities to inform the development of a meaningful data visualization tool suite and predictive modeling needs for decision-makers at all levels;
• Demonstrated experience developing and applying machine learning models, predictive analytics, and AI-driven data interpretation to complex defense problems;
• Proficiency in leveraging modern data analytics platforms and languages (e.g., Python, R) to perform statistical analysis and build financial and operational risk models;
• Highly proficient and experienced with Microsoft Office, especially with Access, Excel and PowerPoint;
• Experience in producing executive-level analytical products and reports;
• Master’s degree (or higher) from an accredited college or university (a major in an Analytics or Computer related field is highly desired).
• Secret security clearance required.
Location & Eligibility
Listing Details
- First seen
- August 16, 2026
- Last seen
- August 17, 2026
Posting Health
- Days active
- 0
- Repost count
- 1
- Trust Level
- 45%
- Scored at
- August 16, 2026
Signal breakdown
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