LMI

Applications Systems and Security Assistance Data Analyst

LMI Washington, District of Columbia, United States · $84K–$140K/yr

Software Development · 1,001-5,000 employees

20 h ago
data-analyst Senior (5-10 yrs) Other United States
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About the role

Serve as the principal analyst for data management and reporting related to security assistance accounts and interagency coordination. Develop dashboards and workflows using Power BI and Excel to enable evidence-based decision-making and budget formulation.

What they look for

Data Analytics Data Visualization Microsoft Power BI Excel SQL Security Assistance Analysis Data Transformation Process Optimization Executive Reporting Program Evaluation Interagency Coordination Budget Formulation

Requirements

Requires a bachelor's degree and at least five years of experience in data analytics, specifically within Security Assistance or Cooperation programs. Must possess an active Secret security clearance and expertise in Power BI, Excel, and SQL.

Full description

Overview

We are seeking a mid-level Data Scientist with a strong background in data management, visualization, and reporting related to security assistance accounts and interagency coordination. The ideal candidate combines rigorous analytical thinking with creativity, technical curiosity, and sound judgment.

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

Serves as the principal analyst and integrator for data management, visualization, and reporting related to security assistance accounts and interagency coordination. This role shall ensure all deliverables expand the client’s analytical capacity, ensure responsible AI implementation, and enable evidence-based decision-making across portfolios. This role shall provide support which includes developing and maintaining dashboards, workflows, and reporting tools using Microsoft Power BI, Excel, and Lists; ensuring data accuracy; and providing insights that inform program and budget formulation.

Qualifications

Required Qualifications:

  • Minimum of five (5) years of experience in data analytics, visualization, or program evaluation, preferably with federal agencies.
  • Demonstrated experience in Security Assistance or Security Cooperation program analysis, including familiarity with FMF, IMET, PKO/NSEA, and related budget accounts.
  • Demonstrated expertise in Microsoft Power BI, Excel, SQL, and other data analysis or visualization platforms.
  • Demonstrated strong background in data transformation, automation, and process optimization for reporting and program management.
  • Demonstrated excellent written and oral communication skills with experience drafting executive-level data products and dashboards.
  • Active Secret security clearance.

Required Education and Certification:

  • Bachelor’s degree in international affairs, data science, political science, or a related discipline required; advanced degree preferred.
  • Professional certifications in data analytics, visualization, or process improvement (e.g., Power BI, Tableau, Lean Six Sigma, or Change Management Professional) strongly desired.
  • Formal coursework or training in Security Cooperation (e.g., Defense Security Cooperation University) preferred.

Target salary range: $84,000 - $140,000

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.

Job Locations

US-DC-Washington, DC

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