NAVWAR Analyst

Canvas Inc. is hiring for a Mission & Engineering NAVWAR Analyst (RF Data Analyst) supporting the Joint Navigation Warfare Center (JNWC) at Kirtland Air Force Base, New Mexico. The role contributes to enhancing the Department of Defense's understanding of Positioning, Navigation, and Timing (PNT) vulnerabilities and threats, supporting operational readiness, joint planning, OPLAN analysis, and the execution of NAVWAR operations.

Responsibilities

Help develop critical navigation warfare insights to enhance the Department of Defense's understanding of Positioning, Navigation, and Timing (PNT) vulnerabilities and threats; Develop and script data processing workflows to create and maintain dashboards and reports for internal and external stakeholders within the Department of Defense; Use advanced analysis software to process and interpret RF data collected from field events and military exercises; Collaborate with engineering teams to gather analysis and data requirements during the planning phase and develop test plans to characterize and assess navigation hardware performance; Process requests to identify potential RF interference that could impact space launches, providing real-time guidance on data quality during field tests and military exercises; Actively participate in shaping the strategic direction of PNT systems through data analysis and actionable recommendations; Keep up to date with emerging technologies in data science, artificial intelligence, and machine learning and apply them to PNT-related challenges; Use data insights to identify trends, patterns, and emerging threats; Travel in support of military exercises and operational field assessments

Requirements

Must have an active secret clearance; Must be a U.S. citizen; 5 years of experience in Electrical, Mechanical, RF Engineering, or Data Science; Bachelor's degree (BA/BS) in an Engineering field (Electrical, Mechanical, RF) or Data Science; Strong foundation in technical principles and data-driven methodologies; Proven track record of applying technical expertise to solve complex engineering problems and drive data-driven insights

Nice to have

Experience in data manipulation, including cleaning, transforming, and analyzing large datasets using tools such as Excel, SQL, Python, or R; Experience coding for data analytics and visualization using languages such as Python, R, or JUMP to automate data workflows, perform statistical analysis, and create interactive reports or dashboards; Proficiency in some or all of the following tools and technologies: JUMP, GIANT, GIANT RPM, Builder, Systems Toolkit (STK), or other modeling and simulation programs