Senior Operations Analyst (Navy MIW/MCM/MIREM)
THOR Solutions, LLC
San Diego, CA, United States
13 days ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Compensation
$90,000.0 - $100,000.0
Working hours
Shift work
Job source
Tech stack
Microsoft Excel
MATLAB
Microsoft Office
Productivity Software
Software Tools
Job description
- Evaluate warfighting gap technical solutions using MOEs/MOPs across warfare areas and quantifiably prioritize their suitability and feasibility.
- Conducts statistical trend analysis on sensor, systems, weapon and countermeasure data across warfare areas and ascertain system performance against warfighting requirements.
- Investigates the validity of probabilistic models and algorithms manifesting as capabilities in proposed warfighting gap solutions.
- Ensures the design and execution of M&S studies meet the specified objectives.
- Communicates prioritized suitability of warfighting gap solutions in oral and written formats to representatives of naval commands, engineering labs, and program offices.
- Provides insight during ad hoc workshops and conferences and responds to statistical queries of systems performance.
- Supervises the performance of other analysts and data engineers.
Requirements
Existing Security Clearance Required: This position requires a DoD Secret security clearance. A qualified candidate must already possess an active or interim security clearance. A candidate with especially strong, relevant experience but no active security clearance may still be considered, but work start would be dependent upon a new Secret clearance being awarded., * Masters degree in Mathematics, Statistics, Operational Research, or similar field.
- Six (6) years experience leading analysis teams.
- Four (4) years experience in operational research, operations analysis, applied math, and statistics.
- Excellent analytical problem-solving skills.
- Experience in the use of analytical software tools such as Matlab, Statistical Analysis Software, and Microsoft Excel.
- Proficient with common productivity software, including the Microsoft Office suite.
- Excellent communication skills.
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