Program Analyst II - UAS

IntrepidGS•San Diego, CA

About The Position

The Program Analyst II provides analytical, logistical, and program management support to the Unmanned Aircraft Systems (UAS) Project at Camp Pendleton, California. The role collects, analyzes, validates, and interprets logistics and operational data to support program planning, resource management, readiness assessments, and informed decision-making. The successful candidate uses logistics experience and data-mining capabilities to identify trends, assess performance, develop reports, and recommend process improvements. The position requires strong analytical skills, attention to detail, and collaboration with project managers, logistics personnel, technical teams, and government stakeholders to support UAS program objectives.

Requirements

  • Bachelor’s degree in Logistics, Supply Chain Management, Business Administration, Data Analytics, Information Systems, Operations Management, or another relevant field; alternatively, six additional years of directly related, job-related experience may substitute for the degree, subject to applicable contract and customer requirements.
  • A minimum of 10 years of experience in logistics, data mining, data analysis, or closely related fields, including demonstrated experience applying analytical methods to logistics or operational support functions.
  • Demonstrated experience collecting, analyzing, interpreting, and reporting complex data from multiple sources.
  • Experience developing reports, performance metrics, trend analyses, and data-driven recommendations.
  • Active Secret security clearance required.

Nice To Haves

  • Experience supporting Department of Defense (DoD), U.S. Marine Corps, or other military logistics programs.
  • Familiarity with UAS platforms, aviation logistics, maintenance operations, equipment readiness, or military supply-chain processes.
  • Experience working with logistics information systems, enterprise resource planning (ERP) systems, inventory-management databases, or maintenance-tracking systems.
  • Proficiency with data-visualization and business-intelligence tools such as Power BI or Tableau.

Responsibilities

  • Analyze logistics operations, supply-chain activities, equipment inventories, maintenance records, material requirements, and resource utilization in support of UAS program requirements.
  • Extract, consolidate, clean, validate, and analyze datasets from multiple sources to identify trends, discrepancies, performance gaps, and improvement opportunities.
  • Develop and maintain performance metrics, dashboards, status reports, and analytical products to track project milestones, logistics readiness, resource allocation, and operational effectiveness.
  • Prepare analytical reports, briefings, presentations, and recommendations for program leadership and government stakeholders.
  • Identify inefficiencies in logistics and data-management processes and recommend solutions to improve accuracy, efficiency, resource utilization, and program performance.
  • Support tracking and analysis of UAS equipment, components, spare parts, repairables, and other program-related assets.
  • Analyze historical and current data to support forecasting, logistics planning, supply requirements, and resource allocation.
  • Establish and maintain data-validation procedures, resolve inconsistencies, and ensure analytical outputs are accurate, traceable, and reliable.
  • Coordinate with program managers, logisticians, engineers, maintenance personnel, and other stakeholders to obtain data, validate findings, and support program execution.
  • Monitor assigned tasks, deliverables, schedules, and action items; identify potential risks or delays and communicate findings to program leadership.
  • Ensure data handling, reporting, and documentation comply with applicable government policies, contractual requirements, security procedures, and information-protection standards.
  • Apply analytical methods and lessons learned to improve logistics visibility, operational readiness, and decision support for the UAS Project.
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