Job Responsibilities

• Lead the collection, cataloging, reduction, analysis, and interpretation of data from developmental, operational, and special test events.
• Serve as a senior analytics and test event SME for Government and military customers.
• Develop test data analysis strategies, data analysis plans, scoring methodologies, and reporting approaches.
• Generate technical reports, briefings, data products, and executive-level recommendations based on test event results.
• Support live test events by operating, troubleshooting, and interpreting real-time display, visualization, and analysis tools.
• Develop, modify, and maintain software tools to improve data processing, analysis automation, visualization, and reporting.
• Provide on-site technical support at test ranges, laboratories, and customer locations.
• Conduct root cause analysis, anomaly investigation, performance assessment, and post-test technical evaluation.
• Support test planning activities, including test design, data requirements definition, instrumentation planning, and analysis workflow development.
• Coordinate with engineers, test directors, data analysts, software developers, range personnel, and Government stakeholders.
• Mentor junior analysts and engineers in test data analysis, technical reporting, and customer communication.
• Communicate complex technical findings to senior technical, programmatic, and military leadership.
• Adapt analytical approaches to dynamic customer requirements, evolving test objectives, and changing operational conditions.
• Travel up to 25% for test events, technical meetings, and customer support activities.

Required Experience and Skills

• U.S. Citizenship with the ability to obtain and maintain a security clearance.
• Minimum of 15 years of relevant experience in test and evaluation, data analytics, engineering analysis, military systems, or related technical fields.
• Bachelor’s degree in Engineering, Mathematics, Computer Science, Physics, Data Science, or another relevant STEM field.
• Demonstrated experience analyzing data from defense, aerospace, aviation, range, training, or military test events.
• Experience developing analysis tools or scripts using Python, C#, C++, MATLAB, SQL, or similar technical languages.
• Strong understanding of test data collection, reduction, scoring, visualization, and reporting.
• Ability to support live test events in fast-paced, field, range, or laboratory environments.
• Ability to convert complex technical data into clear findings, recommendations, and decision-quality products.
• Strong analytical, inference, critical thinking, and creative problem-solving skills.
• Ability to work independently while coordinating across multi-disciplinary technical teams.
• Ability to brief technical findings to Government customers, program leadership, and senior stakeholders.
• Ability to travel for extended-duration test events as assigned.

Desired Experience and Skills

• 20+ years of experience supporting DoD test and evaluation, aviation systems, missile defense, aircraft survivability, electronic warfare, countermeasure systems, directed energy, radar, or sensor-based systems.
• Experience leading data analysis efforts for developmental test, operational test, flight test, range test, hardware-in-the-loop, software-in-the-loop, or modeling and simulation events.
• Experience supporting Army, Navy, Air Force, MDA, DOT&E, ATEC, TRMC, or other DoD test organizations.
• Experience with Python, C#, C++, SQL, MATLAB, R, Bash, or Linux-based analysis environments.
• Experience with visualization, simulation, or test integration tools such as SIMDIS, TENA, telemetry tools, or range data systems.
• Experience with source management repositories such as Git, GitLab, GitHub, Apache Subversion, BitBucket, or similar.
• Experience developing software or analysis tools for Linux platforms.
• Basic understanding of networking, distributed test architectures, instrumentation, telemetry, and data management.
• Experience with video processing, sensor data, telemetry data, flight test data, or time-correlated multi-source data.
• Experience with Design of Experiments, statistical analysis, data quality assessment, and performance evaluation.
• Experience with cloud-based analytics environments, AWS, Azure, AI/ML-enabled workflows, or automated data processing pipelines.
• Experience preparing technical briefings, test reports, data analysis plans, and customer-facing decision support products.
• Active security clearance preferred.