Analytics Engineer

Logistics Management Institute • Colorado Springs, CO

7d • Onsite

About The Position

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.

Requirements

• 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
• Candidate must possess an active TS/SCI or TS with SCI eligibility clearance and a willingness to obtain a CI Poly.

Nice To Haves

• 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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level