LMI · 3 months ago
Data Visualization Specialist
US-DC-Washington, DC
Full-time
Onsite
Senior Level
5+ years expLMI is a digital solutions provider focused on enhancing government impact through innovation and technology. They are seeking a Data Visualization Specialist to design and maintain interactive visual analytics for the U.S. Postal Inspection Service, enabling data-driven workforce planning and resource decisions.
AnalyticsConsultingInformation TechnologyLogisticsManagement ConsultingProfessional Services
Responsibilities
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
Qualification
Required
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
Preferred
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
Company
LMI
LMI is a consulting firm dedicated to improving the management of government.
1001-5000 employees
H1B Sponsorship
LMI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (38)
2024 (20)
2023 (17)
2022 (5)
Funding
Current Stage
Late StageTotal Funding
$0.25MKey Investors
Mission Daybreak
2022-09-19Grant· $0.25M
2022-07-12Private Equity
2020-12-21Acquired
Leadership Team
Joshua Wilson
Chief Executive Officer
Recent News
Washington Technology
2025-10-03
2025-10-02
Washington Technology
2025-08-09
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