Skip to content
← Back to job listings

Senior Metrics and Data Analyst

Dark Horse Tech · Norfolk, VA

Data Science / AI / Machine LearningSenior LevelImported listingfull-time29 days ago

About The Role

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.

This is an external listing. JobSpring does not represent or verify the employer. Report this listing