Data Applications AnalystMedCura Health, Inc. • Stone Mountain, Georgia, United States
Data Applications Analyst
MedCura Health, Inc.
- Stone Mountain, Georgia, United States
- Stone Mountain, Georgia, United States
À propos
Qualifications
Bachelor’s degree in Health Informatics, Data Science, Information Systems, or related field (Master’s preferred).
Minimum 3 years of experience in healthcare data or applications analysis, preferably in an FQHC or community health setting.
Proficiency in Structured Query Language (SQL), Excel, and data visualization tools (Power BI, Tableau).
Experience with EHR systems (e.g., athenahealth/athenaOne, NextGen, eClinicalWorks, Epic), telephony platforms, and AI-enabled documentation tools.
Strong understanding of healthcare operations, clinical workflows, and financial reporting.
Excellent communication, problem-solving, and stakeholder engagement skills.
Responsibilities Application & Data Integration
Manage and analyze data from telephony platforms (IVR/VoIP) to optimize patient access and call center performance.
Extract and interpret clinical and operational metrics from the Electronic Health Record (EHR) to support quality improvement and compliance initiatives.
Support deployment and data integration of AI-enabled medical scribing tools, ensuring alignment with clinical documentation workflows.
Collaborate with finance and revenue cycle teams to analyze financial operations data, including billing, reimbursement, and budgeting.
Analytics and Reporting
Design and maintain dashboards and reports using Business Intelligence (BI) tools (e.g., Power BI, Tableau) to support executive decision-making and operational efficiency.
Conduct data validation, root cause analysis, and performance trending across departments.
Translate complex datasets into clear, actionable insights for leadership and frontline teams.
Ensure data integrity and compliance with Health Insurance Portability and Accountability Ac (HIPAA) and other regulatory standards.
Cross Functional Collaboration
Partner with clinical, operational, IT, and finance stakeholders to understand data needs and deliver tailored solutions.
Participate in cross-functional initiatives involving system upgrades, workflow redesign, and technology adoption.
Provide training and support to end-users on data tools and reporting platforms.
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Compétences linguistiques
- English
Avis aux utilisateurs
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