Job ID: 2507461
Location: CRANE, IN, US
Date Posted: 2025-07-10
Category: Logistics
Subcategory: Logistics
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: Interim Secret
Clearance Level Must Be Able to Obtain: Secret
Potential for Remote Work: Yes
Description
SAIC is seeking an experienced and highly skilled Senior Logistics Analyst to join our team in Crane, IN.
The ideal candidate will have extensive experience working on Acquisition Category (ACAT) programs and a proven track record of participating in Independent Logistics Assessments (ILA). This role involves developing and implementing logistics strategies, conducting thorough assessments, and ensuring efficient support throughout the product lifecycle.
NOTE: This position is 100% remote with occasional travel.

REQUIRED EDUCATION AND EXPIERENCE:

• Bachelor’s degree in Logistics, Supply Chain Management, Business Administration, or a related field.
• Minimum of 7-10 years of experience in logistics management, with a strong focus on ACAT programs.
• Proven experience participating in Independent Logistics Assessments (ILA).
• Proficiency in logistics management software and tools.
• Strong analytical and problem-solving skills.
• Familiarity with defense acquisition processes and DoD regulations.
• Excellent verbal and written communication skills, with the ability to effectively present complex information to diverse audiences.
• Demonstrated leadership abilities, with experience in leading cross-functional teams and driving logistics initiatives.
• Strong project management skills, with the ability to manage multiple priorities and deliver results within established timelines.
• High level of accuracy and attention to detail in all aspects of work

PREFFERED EXPERIENCE:

• Professional certifications such as Certified Professional Logistician (CPL), Certified Supply Chain Professional (CSCP), or similar.
• Prior military logistics experience or experience working with defense contractors.
• Advanced Analytical Tools: Experience with advanced data analysis tools and methodologies.

Please refer the Job description for details