Operations Research Systems Analyst; ORSA

Description

Join a mission where your contributions count!

At Leidos, innovation is at the heart of everything we do. Powered by a team as diverse as it is talented, we're driven by a shared passion for delivering bold solutions that fuel our customers' success. We believe in empowering our people, giving back to our communities, and leading with sustainability. Every action we take is grounded in integrity and a steadfast commitment to doing what’s right—for our customers, our teams, and the world around us.

Our Mission, Vision, and Values guide our journey toward a brighter future.

If this sounds like the kind of environment where you can thrive, keep reading!

The Defense Sector within Leidos develops and produces advanced space, aerial, surface, and sub‑surface manned and unmanned capabilities. Our Business Area delivers smart, integrated, mission‑ready solutions that enhance military intelligence operations and accelerate decision advantage for the warfighter. We achieve this through advanced platform and systems integration, rapid systems modernization, repeatable mission software offerings, and intelligence and data rationalization that turns information into actionable insight.

Leidos is seeking an Operations Research Systems Analyst (ORSA) to provide advanced analytical support to United States Strategic Command (USSTRATCOM) decision‑making, planning, assessment, and operational analysis activities at Offutt Air Force Base. This position applies operations research methodologies, quantitative analysis, modeling, and simulation techniques to evaluate complex operational challenges and provide data‑driven recommendations that support strategic and operational objectives. The selected candidate will work closely with planners, analysts, and senior leaders to assess operational effectiveness, evaluate strategic risks, analyze force employment options, and examine campaign impacts.

The role requires the ability to develop innovative analytical approaches, apply rigorous quantitative methods, and translate complex analytical findings into actionable insights for decision‑makers.

Note:

This position is part of a prospective contract, contingent upon final award. Anticipated award date:
August 2026.

The ORSA supports strategic planning, operational assessments, and analytical studies through the application of operations research principles and methodologies. Responsibilities include developing, adapting, and applying quantitative models, statistical analyses, simulation techniques, forecasting methodologies, and analytical frameworks to evaluate operational performance and support decision‑making.

The selected candidate will conduct complex analyses involving operational effectiveness, strategic risk, resource allocation, force employment alternatives, and campaign outcomes. They will identify and evaluate alternative courses of action, assess potential impacts, and provide objective recommendations based on analytical findings.

The ORSA will support the design and implementation of data collection methodologies, perform statistical and systems analyses, develop analytical products, and contribute to operational assessments and strategic studies. This role also involves collaborating with multidisciplinary teams to address complex organizational challenges, improve analytical processes, and support the development of innovative solutions.

Additionally, the position supports Agile project execution through participation in sprint planning, backlog refinement, retrospectives, and other collaborative development activities. The ORSA will work within established schedules and resource constraints while ensuring analytical products meet organizational requirements and decision‑maker needs.

• Active TS/SCI with eligibility for NC2/ESI and Special Access Program (SAP) access (or ability to obtain within required timeframe).
• Minimum of ten (10) years of experience applying a broad range of operations research methods, analytical techniques, and quantitative methodologies.
• Bachelor's degree or higher in Operations Research, Data Science, Data Analytics, Business…