Hybrid Healthcare Data Applications Analyst - BI & AI Tools

MedCura Health

Stone Mountain (GA)

Hybrid

USD 70,000 - 90,000

Full time

14 days+
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Job summary

MedCura Health is looking for a Data Applications Analyst to support data analysis and optimize application performance across its Federally Qualified Health Center network. The successful candidate will integrate technical application knowledge with advanced analytics to enhance care delivery and improve operational efficiency.

The ideal candidate will have a bachelor’s degree in a relevant field and at least 3 years of experience in healthcare data analysis. Proficiency in SQL, Excel, and BI tools like Power BI is essential. This hybrid role requires collaboration across clinical and operational functions to drive initiatives related to AI and data integration.

Qualifications

  • Minimum 3 years of experience in healthcare data or applications analysis.
  • Proficiency in Structured Query Language (SQL), Excel, and data visualization tools.
  • Experience with AI-enabled documentation tools.

Responsibilities

  • Manage and analyze data from telephony platforms to optimize patient access.
  • Design and maintain dashboards and reports using Business Intelligence tools.
  • Support deployment and data integration of AI-enabled medical scribing tools.
  • Collaborate with finance teams to analyze financial operations data.

Skills

Data analysis
SQL
Excel
Power BI
Tableau
Healthcare operations understanding
Communication skills
Problem solving

Education

Bachelor’s degree in Health Informatics, Data Science, Information Systems
Master’s degree (preferred)

Tools

EHR systems
Telephony platforms

Job description

MedCura Health is looking for a Data Applications Analyst to support data analysis and optimize application performance across its Federally Qualified Health Center network. The successful candidate will integrate technical application knowledge with advanced analytics to enhance care delivery and improve operational efficiency.

The ideal candidate will have a bachelor’s degree in a relevant field and at least 3 years of experience in healthcare data analysis. Proficiency in SQL, Excel, and BI tools like Power BI is essential. This hybrid role requires collaboration across clinical and operational functions to drive initiatives related to AI and data integration.

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