Data Applications Analyst

Overview

The Data Applications Analyst plays a critical role in advancing MedCura Health’s mission by supporting enterprise-wide data analysis and optimizing application performance across our multi-site Federally Qualified Health Center (FQHC) network. This hybrid position integrates technical application knowledge with advanced data analytics to enhance clinical care delivery, improve patient access, strengthen financial operations, and support innovation in emerging technologies such as Artificial Intelligence (AI)-enabled medical documentation.

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.