Andrew Morgan LLC is seeking an Operational Research Systems Analyst to support the Defense Health Agency by providing subject matter expertise in IT and health technology acquisition programs. The role involves applying operations research and data analysis to inform decision-making and support cost estimations.
Requirements
- Demonstrated ability to apply quantitative methods (e.g., optimization, simulation, statistical modeling) using tools such as Python, R, MATLAB, Excel, and Arena to analyze systems and support decision-making
- Proficiency in advanced Excel and SQL, with experience developing and interpreting models for affordability assessments, cost estimation, lifecycle cost analysis, forecasting, and trade-space evaluations
- Strong understanding of financial principles, including budgeting, forecasting, and cost-benefit analysis, and their application to strategic planning and acquisition decisions
- Knowledge of large-scale IT system architectures and associated lifecycle costs, with the ability to evaluate system-level tradeoffs in cost, schedule, and performance
- Experience with financial systems such as OneStream, SAP, or Workday, and visualization platforms like Power BI or Tableau to develop actionable reporting for decision-makers
- Skilled in navigating and extracting data from federal and industry databases (e.g., FPDS, SAM.gov, GAO, KLAS, Statistica), reports, or similar
- Familiarity with cost estimation tools such as ACEIT, SEER, or PRICE
Responsibilities
- Design and apply operations research (OR) methodologies (e.g., AoA, BCA, Monte Carlo simulation, regression) to support cost estimates, affordability analyses, and trade-space studies for acquisition programs
- Conduct market and technology research to inform acquisition planning, assess vendor capabilities, support data-driven investment recommendations
- Evaluate the impact of proposed policies, programs, and projects through quantitative and qualitative analysis
- Analyze historical and current cost, schedule, and performance data to refine forecasting and scenario modeling
- Translate complex technical and analytical findings into executive-level briefings, reports, and presentations for both technical and non-technical audiences
- Collaborate with finance, contracting, program, IT, and technical teams to validate assumptions, enhance data consistency across systems, and ensure alignment with FP&A goals
- Work with data analysts to develop detailed reports and visualizations that communicate key insights and support leadership decision-making
Other
- Bachelor's degree in Operations Research, Applied Mathematics, Statistics, Engineering, Economics, Finance, or related field
- 3+ years' experience in operations research, cost analysis, data analysis, or financial modeling — preferably supporting DoD, government acquisition, or large-scale IT and health system programs
- Strong communication skills with a proven ability to present analytical findings, data-driven recommendations, and financial scenarios to senior leadership and cross-functional teams
- Experience working collaboratively across finance, procurement, technical, and IT teams to provide data quality, consistency, and integration across systems
- Demonstrated adaptability and problem-solving ability in a dynamic, mission-driven environment, with a track record of managing multiple priorities and shifting scopes
