Systems Analyst

Description Are you passionate about applying your analytical skills to help defend our nation against air and missile threats? Are you looking to work in a challenging, collaborative, and rewarding environment? If so, we’re looking for someone like you to join our team at APL! We are seeking a highly motivated Systems Analyst to support combat system performance analysis studies. You will be joining a hardworking team of engineers who are passionate about providing high-impact analysis solutions to support our warfighters. Our team is committed to taking on challenging problems with technical excellence and we strive to foster an environment of collaboration, innovation, and sustained professional growth. Responsibilities Analyze Weapon Control System (WCS) Modeling & Simulation (M&S) results to evaluate system performance in support of fleet studies, flight test events, and system engineering studies. Characterize system capabilities and limitations, identify trends and outliers, and perform root cause analysis. Contribute to WCS analysis by reviewing requirements, assessing system design, and evaluating algorithms. Support concept and feasibility studies to assist in the development of future combat system capabilities and requirements. Develop tools in Python and MATLAB to analyze combat system performance and visualize data in innovative ways. Produce documentation on system requirements, design, technical recommendations, and analysis results. Deliver presentations to technical staff, program leadership, and sponsors. Qualifications BS degree in Computer Science, Computer Engineering, Mathematics, Electrical Engineering, Physics, or related technical field. 3+ years of related professional experience. Proficiency with MATLAB and/or Python. Detail‑oriented with strong analytical and problem‑solving skills. Highly self‑motivated to dig into data to root cause issues and to understand system performance. Strong technical written and oral communication skills. Ability to work independently and as part of a larger team, with effective collaboration skills. Willingness to travel up to 5% of the time as needed. Ability to obtain Interim Secret‑level security clearance by your start date and ultimately Secret‑level clearance. Eligibility requires U.S. citizenship. Bonus Qualifications MS degree in related field. 5+ years of related professional experience. Proficiency with Python data science libraries (NumPy, Pandas). Experience in requirements analysis, design, and concept development. Familiarity with developing object‑oriented C++ software in a Linux environment. Familiarity with software revision control systems (e.g., git). Familiarity with Atlassian tool suite (Confluence, JIRA, Bitbucket, Bamboo). Strong interpersonal and communication skills with a desire to take on leadership roles for analysis studies. Working knowledge of the Aegis Weapon System and/or Weapon Control System. About APL The Johns Hopkins University Applied Physics Laboratory (APL) brings world‑class expertise to our nation’s most critical defense, security, space, and science challenges. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. We celebrate differences of perspectives and encourage creativity and bold new ideas. Benefits Employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. EEO Statement All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact View email address on click.appcast.io. Pay Range Minimum Rate: $100,000 Annually. Maximum Rate: $245,000 Annually. #J-18808-Ljbffr