The posted salary range represents the expected pay for this role at the time of posting and is provided for transparency. Actual compensation, if an offer is made, will depend on factors such as skills, experience, education, and overall qualifications.
Mercy Flights is hiring for a Mobile Integrated Healthcare (MIH) Informatics & Data Analyst
This role serves as a critical bridge between clinical teams, MIH leadership, and the Informatics & Data Analytics department, ensuring our Mobile Integrated Healthcare programs are driven by accurate, meaningful, and impactful data.
Qualifications
Required
- Bachelor's degree in Health Informatics, Data Analytics, Public Health, Information Systems, or a related field (or equivalent combination of education and experience).
- Experience in:
- Mobile Integrated Healthcare (MIH)
- Community Paramedicine
- Emergency Medical Services (EMS)
- Population Health programs
- Familiarity with:
- ePCR platforms (ESO, ImageTrend, or similar)
- Electronic Health Record (EHR) systems
- Clinical workflows and healthcare documentation
- Vendor relationship management for healthcare information systems
Preferred
- 2+ years of healthcare analytics, informatics, or related experience.
- Experience with:
- SQL
- Power BI and/or Tableau
- Advanced Excel
- Data visualization best practices
- Knowledge of:
- HL7, ICD-10, CPT, and healthcare data standards
- Lean, Six Sigma, or PDSA quality improvement methodologies
- Experience with statistical or programming tools such as Python, R, or SAS.
Preferred: Two (2) years of experience in healthcare analytics, informatics, or similar roles. Proficiency in SQL, Power BI/Tableau, Excel, and data visualization best practices. Understanding of healthcare data standards (HL7, ICD-10, CPT, etc.). Background in quality improvement methodologies (Lean, Six Sigma, PDSA cycles). Experience with statistical tools (R, Python, SAS) is a plus.
What You'll Do
Data Management & Analytics
- Collect, validate, transform, and analyze data from multiple healthcare and operational systems, including ePCR, EHR, CAD, scheduling, and population health platforms.
- Identify trends in patient utilization, clinical outcomes, referral patterns, and pr