Logistics Operations Analyst
SAIC
Logistics Operations Analyst
SAIC
Technology integrator delivering defense IT solutions
SAIC is seeking a Logistics and Engineering Operations Analyst to provide analytical, planning, and operational support to a joint logistics and engineering organization supporting operations across the Pacific theater. The position translates engineering requirements, operational guidance, and logistics constraints into actionable assessments, movement plans, readiness updates, and decision-support products for military and civilian leaders.
The role requires strong independent judgment, disciplined information capture, and the ability to integrate engineering support across Service components, combat support agencies, logistics organizations, and regional partners. The position supports deliberate planning, crisis action planning, exercises, and real-world contingency operations, consistent with the source role’s focus on theater readiness, infrastructure supportability, force posture, and joint engineer planning.
Key Responsibilities
Requirements
Preferred Qualifications
SAIC is a technology integrator that supports the U.S. government with engineering and IT services for defense, space, and intelligence missions. Its offerings include integrating complex systems, software, data analytics, cybersecurity, and digital engineering to help national security programs run smoothly. The company operates by combining technical expertise with large-scale government contracts, delivering end-to-end solutions from planning and development to deployment and support. Unlike many firms that focus on a single product, SAIC differentiates itself through a long history of government work, its origins as an employee-owned company, and its growth through strategic acquisitions to broaden capabilities in digital engineering, mission IT, and related services. SAIC’s goal is to enable national defense and intelligence operations by providing the technology and services needed to design, build, and maintain critical systems at scale.
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