Operations Research Systems Analyst
Listed on 2026-01-07
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IT/Tech
Data Analyst, Data Scientist, Data Science Manager
Overview
Intrepid, an SPA Company, brings more than 20 years of experience supporting the Department of Defense and U.S. Government, consistently setting the standard for excellence in the federal marketplace. Committed to advancing the mission of the U.S. Warfighter, Intrepid leverages technological superiority to deliver innovative solutions across air, space, land, and sea domains. We are proud to foster a collaborative, dynamic work environment, offering competitive compensation and an industry-leading 401k contribution.
Our team is built through merit and achievement, and we’re always looking for the best and brightest to join us in our growth. We treat our people like family, we are mission-focused, and we give back! Join us today.
The Force Development Operations Research Systems Analyst (ORSA) applies advanced data science, statistical modeling, and operations research techniques to enhance Army G‑8 force development, acquisition, and modernization initiatives. This role designs and employs predictive models, performs readiness and resourcing analyses, and utilizes tools such as SAS, Python, R, Tableau, and Power BI to generate actionable insights. Collaborating with Army leaders and cross‑functional teams, the analyst develops decision‑ready products, validates requirements, and ensures modernization strategies remain aligned with Army priorities—driving effective resource allocation and strengthening operational readiness.
Required Qualifications- Bachelor’s degree in operations research, applied mathematics statistics, engineering (Systems or Industrial), or computer science
- A minimum of three (3) years ORSA experience
- Ability to apply proficiency in SAS and Python with expertise in R, along with proficiency to advance data visualization skills using tools like Power BI, Tableau, Power Apps to accomplish mission tasks
- Ability to apply analytic techniques such as statistical analysis, forecasting and measurement to effect analyses (e.g., ANOVA, multiple regression), cost analysis, flow modeling, forecast modeling, linear programming, simulations and queuing theory, and business reengineering/IDEF modeling, and be proficient in writing/editing R code as well as in Tableau and Power BI
- Active Secret clearance and the ability to maintain it throughout employment
- HTAR course completion
- JCIDS/Requirements training (RQM 1010/1100/3100/310/2500/2520 OR CLR 101/110/151/250/252), or related fields
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