Senior Metrics and Data Analyst
Dark Horse Tech · Norfolk, Virginia, United States
Posted 7 days ago
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Skills
Data analysisDatabase designMachine learningPredictive analyticsRisk modelingPythonRMicrosoft AccessExcelPowerPoint
Job description
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.
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