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Analytics Engineer
- Colorado Springs, Colorado, United States
- Colorado Springs, Colorado, United States
À propos
Overview LMI is seeking a Space Analytics Engineer to support the development and evaluation of future space architectures, with a focus on sustained space maneuver and resilient orbital operations. This role is centered on defining candidate system architectures and designing trade studies that inform early‑phase force design and capability development decisions.
In this role, you will operate in a highly ambiguous, concept‑driven environment, translating broad mission challenges into structured analytical approaches. Your work will directly shape how emerging space capabilities are evaluated and prioritized for future investment.
This position is ideal for an analytical thinker who excels at framing complex problems, identifying key variables, and designing decision‑relevant analysis—not just executing models.
This is an on‑site role in Colorado Springs, CO.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial‑grade platforms and mission‑ready AI to federal agencies at commercial speed.
Leveraging our mission‑ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
Develop and define candidate space architectures to support sustained maneuver and mission resilience across orbital regimes
Design and structure trade studies to evaluate alternative system concepts, identifying key variables, constraints, and performance metrics
Translate ambiguous mission problems into clear analytical frameworks that can be executed by modeling & simulation and data science teams
Identify critical drivers of performance (e.g., maneuver capability, sustainment approaches, constellation design, logistics concepts) and prioritize analysis accordingly
Collaborate with modeling & simulation engineers and data scientists to ensure analytical efforts are aligned to decision needs
Interpret analytical results and translate findings into actionable insights for force design, capability development, and resource prioritization
Support development of initial requirements, CONOPS, and architecture definitions for notional and emerging space systems
Contribute to technical reports, briefings, and stakeholder engagements, clearly communicating trade‑offs and implications
Iterate on architectures and trades as new insights emerge, refining the analytical approach over time
Qualifications Required:
Bachelor's degree in Aerospace Engineering, Operations Research, Physics, Systems Engineering, or a related field
3+ years of experience in space systems analysis, mission analysis, or architecture development
Demonstrated experience designing and executing trade studies or analytical frameworks to support decision‑making
Strong understanding of space systems and operations, including orbital regimes, satellite capabilities, and mission constraints
Ability to operate effectively in ill‑defined problem spaces and translate ambiguity into structured analysis
Experience collaborating with modeling & simulation teams or data scientists to execute analysis
Strong analytical and problem‑solving skills, with the ability to identify key drivers and simplify complex systems
Excellent communication skills, including the ability to convey complex trade‑offs to non‑technical stakeholders
Nice to have:
Experience supporting early‑phase concept development, force design, or pre‑acquisition analysis
Familiarity with frameworks such as DoDAF or UAF
Background in wargaming, scenario design, or operations analysis
Experience with tools such as STK (Systems Tool Kit), MATLAB, or Python (for analysis, not necessarily model development)
Exposure to space logistics, maneuver, or sustainment concepts
Advanced degree in a relevant technical field
Security Clearance Requirements:
Candidate must possess an active TS/SCI or TS with SCI eligibility clearance and a willingness to obtain a CI Poly.
Target salary range: $92,000 - $158,000
Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
Equal Opportunity Employer LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law.
If you are a person with a disability needing assistance with the application process, please contact accommodations@lmi.org.
Colorado Residents: In any materials you submit, you may redact or remove age‑identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
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Compétences linguistiques
- English
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