Data Visualization Specialist

Overview

LMI is seeking a Data Visualization Specialist at a consultant level to support the United States Postal Inspection Service (USPIS). The Data Visualization Specialist will serve as a core member of the U.S. Postal Inspection Service (USPIS) Workforce Model & Strategic Alignment project team. This position will design, develop, and maintain interactive visual analytics to support workforce planning, model validation, and strategic alignment activities. The Specialist ensures that complex datasets—covering crime trends, workforce complements, workload drivers, and staffing scenarios—are translated into intuitive, actionable visual products that enable USPIS leadership to make evidence-based staffing and resource decisions.

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 civilian 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:

• Design and build interactive dashboards and visual models (maps, charts, staffing ratio tables, scenario filters) to support prototype and refined workforce models.
• Translate complex data analyses into clear, decision-ready visuals for USPIS leadership, consistent with GAO workforce planning principles and OMB human capital guidance.
• Develop visual interfaces for scenario testing, allowing users to explore staffing options by crime type, geography, or risk exposure.
• Partner with workforce analysts, human capital specialists, and law enforcement SMEs to ensure visualizations align with validated workforce drivers and stakeholder needs.
• Ensure all visualization products comply with USPS/USPIS technical environment standards (e.g., Microsoft 365 Power BI, Excel, SharePoint).
• Support data governance and transparency by documenting assumptions, metrics, and design logic in alignment with GAO recommendations for accountability.
• Provide visualization expertise in leadership workshops and stakeholder sessions, incorporating feedback into iterative model refinements.
• Deliver exportable products (presentations, briefing decks, PDF/Excel outputs) suitable for OIG/GAO review, Congressional testimony, and grievance/litigation defense.

Qualifications

Minimum Requirements

• Bachelor’s degree in Data Science, Computer Science, Information Systems, or related field.
• 5 years of experience developing data visualizations for federal or law enforcement agencies, with demonstrated ability to support strategic decision-making.
• Proficiency with Microsoft Power BI, Tableau, or similar tools, and advanced Excel (pivot tables, macros, Power Query).
• Strong knowledge of data storytelling and visual analytics best practices, including interactive geospatial mapping.
• Experience handling sensitive data, with commitment to data security and confidentiality.
• Demonstrated ability to work in multidisciplinary teams (data analysts, human capital experts, law enforcement SMEs).
• Excellent written and oral communication skills, with experience briefing executive audiences.

Desired Skills

• Master’s degree in Data Science, Computer Science, Information Systems, or related field
• Experience building workforce planning or law enforcement resource allocation models.
• Familiarity with federal data governance requirements, CJIS standards, and GAO/OIG workforce planning reviews.
• Familiarity with federal workforce planning guidance (GAO’s five principles, OMB Circular A-11, NICE Cybersecurity Workforce Framework).
• Experience deploying models into Microsoft 365 environments, including integration with Power BI.
• Knowledge of geospatial analytics tools (ArcGIS, QGIS) to support location-based workforce deployment modeling.
• Certifications such as AWS Certified Data Analytics, Microsoft Certified Data Scientist Associate, or equivalent.