Workforce Data Analyst

Workforce Data Analyst

Job Locations

US-DC-Washington, DC

Job ID

2025-13139

# of Openings

Category

Data / Analytics

Benefit Type

Salaried High Fringe / Full-Time

Overview

LMI is seeking a Workforce Analyst at a consultant level to support the United States Postal Inspection Service (USPIS). The Workforce Analyst will collect, analyze, and interpret workforce, operational, and performance data to develop actionable insights that inform staffing decisions, skills gap assessments, and organizational planning. The position will require close collaboration with data scientists, human capital specialists, and federal law enforcement subject matter experts to design data-driven models and recommendations that strengthen mission readiness.

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

Responsibilities will include :

Collect, clean, and analyze workforce and operational data, including staffing levels, attrition rates, caseload trends, and workload distribution.

• Support development of workforce models and dashboards (e.g., in Power BI or similar tools) to forecast staffing needs and align resources to mission priorities.
• Conduct interviews and workshops with federal law enforcement staff to validate workforce drivers and staffing assumptions.
• Prepare detailed reports and presentations summarizing findings, trends, and recommendations for senior federal leadership.
• Benchmark workforce practices against GAO, OIG, and OMB standards for strategic workforce planning.
• Contribute to skills gap analyses and training pipeline assessments to ensure future workforce requirements are met.
• Coordinate with policy and organizational analysts to integrate workforce analysis into broader strategic recommendations.
• Ensure data integrity, transparency, and defensibility of all analytical outputs.

Qualifications

Minimum Requirements

Proficiency in Microsoft Excel and

Excellent written and verbal communication skills, with the ability to brief senior leadership clearly.

Desired Skills

Experience with SQL, Python, or R for advanced analytics.

Target salary range : $82,000 - $141,000

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. Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and / or certifications.

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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