The Senior Metrics and Data Analyst will provide senior-level data analysis, metrics development, predictive modeling support, and data visualization services for Commander, Naval Surface Force Atlantic. This role will support Force Generation readiness improvement by analyzing readiness data, developing metrics and leading indicators, building data-driven monitoring frameworks, and producing analytical products that help Government personnel assess initiative performance and operational risk.
The Senior Metrics and Data Analyst will work with Navy readiness, maintenance, training, operational availability, and force generation data to identify trends, validate gaps, support readiness forecasting, and provide actionable insights across the PESTONI readiness pillars.
The ideal candidate will have strong data analytics, metrics development, visualization, modeling, and Navy readiness experience, with the ability to turn complex datasets into clear analytical products for operational and strategic decision-making.
Key Responsibilities
Metrics Development & Data Analysis
- Develop, refine, and maintain metrics that support Surface Force Generation readiness analysis.
- Analyze data across the Personnel, Equipment, Supply, Training, Ordnance, Networks, and Infrastructure readiness pillars.
- Conduct in-depth analysis to identify readiness gaps, process barriers, performance trends, and operational risks.
- Develop new metrics, data models, and leading indicators to improve the Government’s ability to forecast future readiness.
- Support analysis of ship class, system, and mission-area readiness across Surface Force operations.
- Assess data trends related to operational availability, maintenance delays, training delays, Combat Surge Ready status, and Combat Ready status.
- Validate analytical findings using authoritative Navy data sources and relevant readiness systems.
Predictive Modeling & Readiness Forecasting
- Support development, testing, validation, and sustainment of predictive readiness models.
- Analyze readiness degradation patterns across specified ship classes and readiness areas.
- Support model back-testing, data validation, and accuracy assessment.
- Apply data science, predictive analytics, machine learning, and AI-enabled analytical methods where appropriate.
- Identify statistically significant and actionable operational factors affecting readiness outcomes.
- Help develop advanced analytical models using relevant Navy data and available Government-approved analytical resources.
Dashboards, Visualizations & Monitoring Frameworks