Data Analyst / Health Informatics Specialist

AMI Expeditionary HealthcareFairfax, VA
Remote

About The Position

AMI Expeditionary Healthcare (AMI) is seeking an experienced Data Analyst / Health Informatics Specialist to join our team and play a key role in supporting the Indian Health Service (IHS) Office of Public Health Support on a high-impact initiative designed to improve immunization coverage across IHS facilities nationwide. In this part-time remote role, you'll serve as the analytical lead for the project, driving the technical analysis that shapes key deliverables and recommendations. You'll evaluate interconnected IHS immunization data systems to assess data flow, quality, reporting methodologies, and performance measures, while translating complex technical findings into clear, actionable guidance, training materials, and reporting resources that support improved immunization practices nationwide.

Requirements

  • Bachelor's degree in Health Informatics, Information Systems, Public Health, Data Analytics, Statistics, or a related field
  • Minimum 5 years of experience analyzing healthcare data, clinical reporting systems, performance measures, dashboards, data quality assessments, and reporting methodologies

Nice To Haves

  • Experience with healthcare data systems and reporting tools; RPMS/CRS/iCARE experience strongly preferred
  • Experience with clinical quality measures (GPRA, HEDIS, UDS, eCQMs) and immunization data (IIS, vaccine coverage measurement)
  • Proficiency with analytic and visualization tools (SQL, Excel, Power BI/Tableau, SAS/R/Python)
  • Federal, IHS, tribal, or safety-net health system experience

Responsibilities

  • Lead the technical analysis of five interconnected IHS data systems: RPMS (electronic health record), Clinical Reporting System (CRS), iCARE population management tool, NIRS/National Vaccine Coverage dashboard, and GPRA performance measures
  • Document what each system measures, its data sources and methodologies, reporting frequency and outputs, and limitations – producing a definitive Systems Analysis Report
  • Trace end-to-end data lineage from patient-level RPMS records through CRS extraction to national aggregation, and reconcile differences in data definitions across systems
  • Assess data quality issues, reporting inconsistencies, and interpretation errors that undermine confidence in coverage data
  • Translate technical findings into plain-language content for user guidance, process maps, and training materials
  • Support development of report-interpretation instruction: how to read the numbers, spot coverage gaps, and monitor progress over time

Benefits

  • Equal employment opportunities to all employees and welcomes applicants from all backgrounds to participate in its employment practices.
  • Prohibits discrimination and harassment of any type based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
  • Reasonable accommodation to employees and applicants in need of access to the application, interviewing, and selection processes.
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