Data Analyst - Test and Evaluation Job Listing at SPA in Alexandria, VA (Job ID 2025-19857)

Description

Qualifications

Required:

• Bachelor's degree and at least three years of experience.
• Demonstrated experience developing or supporting analytical or statistical models for system performance evaluation.
• Proficiency in data analysis and modeling tools such as Python, R, MATLAB, or similar platforms.
• Understanding of statistical methods, performance metrics, and experimental design principles.
• Ability to translate model outputs into actionable insights for decision-makers.
• Experience working with complex datasets from technical or operational environments.
• U.S. citizen and able to recieve a clearance, DHS Suitability, and CBP Background Investigation.
• Able to work fully onsite based on client needs.

Desired:

• Active Clearance, DHS Suitability, or CBP Background Investigation.
• Experience supporting DHS, DoD, or other Federal T&E or operational assessment efforts.
• Familiarity with border security technologies such as surveillance systems, sensor arrays, unmanned platforms, or detection systems.
• Experience with modeling and simulation techniques, geospatial or temporal modeling, or operations research methods.
• Knowledge of test modeling frameworks, verification and validation techniques, and system evaluation criteria.

Extract and integrate data from structured test events, field trials, and operational demonstrations. Cleanse, transform, and manage data to prepare it for analysis and modeling. Conduct statistical and computational analysis to identify trends, variances, and performance metrics. Develop and apply test models to simulate, predict, or evaluate system performance under various conditions. Support design, validation, and refinement of test models in alignment with test objectives and evaluation frameworks. Build dashboards, visualizations, and reports to clearly communicate analysis and model results to technical and non-technical audiences. Collaborate with T&E teams to ensure models and data analysis align with system requirements and operational scenarios. Assist in the development of test plans, modeling strategies, data collection methodologies, and post-test reporting. Contribute to performance assessments, recommendations, and lessons learned for acquisition and deployment decisions.