Virtual Encounter Data Analyst Jobs (NOW HIRING)

General Summary
We are seeking a highly analytical and detail-oriented Data Analyst to support a large, 30-shareholder urology practice with integrated medical oncology, radiation oncology, and multiple ancillary service lines. This role is responsible for transforming data from clinical, operational, and financial systems into actionable insights that drive performance, efficiency, and strategic decision-making.
The ideal candidate will have experience working with healthcare data ecosystems, including practice management, EHR, and oncology-specific systems.
Key Responsibilities
Data Management & Integration
• Extract, validate, and integrate data from multiple systems, including:
o Allscripts (Practice Management)
o Veradigm (EHR)
o ARIA Oncology Information System (Radiation Oncology)
• Develop and maintain data pipelines and standardized datasets for reporting and analytics
• Ensure data integrity, consistency, and compliance with healthcare regulations (e.g., HIPAA)
Reporting & Analytics
• Design and maintain dashboards and reports for:
o Provider productivity (wRVUs, encounters, procedures)
o Financial performance (collections, charges, payer mix, denials)
o Radiation oncology utilization and throughput
o Medical oncology infusion metrics
o Ancillary service line performance (imaging, lab, pharmacy, etc.)
• Deliver recurring and ad hoc reports to physicians, executives, and operational leaders
• Identify trends, anomalies, and opportunities for improvement
Operational & Financial Insights
• Analyze revenue cycle performance including:
o Charge capture
o Coding patterns
o Denial trends and reimbursement optimization
• Support budgeting, forecasting, and strategic planning initiatives
• Partner with leadership to evaluate service line profitability and expansion opportunities
Clinical & Quality Analytics
• Support quality reporting and value-based care initiatives
• Analyze clinical outcomes, treatment patterns, and patient flow
• Assist with registry reporting and compliance metrics (as applicable)
Stakeholder Collaboration
• Work closely with physicians, administrators, billing teams, and IT
• Translate complex data into clear, actionable insights for non-technical audiences
• Serve as a liaison between clinical operations and technical systems
Required Qualifications
• Bachelor's degree in Data Analytics, Health Informatics, Business, or related field
• 3+ years of experience in healthcare data analytics (multi-specialty or oncology preferred)
• Strong experience with:
o SQL and relational databases
o Excel (advanced)
o Data visualization tools (Power BI, Tableau, or similar)
• Experience working with EHR and PM systems (preferably Allscripts/Veradigm environments)
• Understanding of healthcare financial and operational metrics (wRVUs, CPT/ICD coding, revenue cycle)
Key Competencies
• Analytical thinking and problem-solving
• Attention to detail and data accuracy
• Ability to manage large, complex datasets
• Strong communication and data storytelling skills
• Ability to work in a fast-paced, physician-driven environment
Why This Role Matters
This position plays a critical role in helping a complex, high-volume specialty practice optimize performance across urology, medical oncology, and radiation oncology. The Data Analyst will directly influence financial outcomes, operational efficiency, and patient care quality through data-driven insights.
Required Qualifications
• Bachelor's degree in Data Analytics, Health Informatics, Business, or related field
• 3+ years of experience in healthcare data analytics (multi-specialty or oncology preferred)
• Strong experience with:
o SQL and relational databases
o Excel (advanced)
o Data visualization tools (Power BI, Tableau, or similar)
• Experience working with EHR and PM systems (preferably Allscripts/Veradigm environments)
• Understanding of healthcare financial and operational metrics (wRVUs, CPT/ICD coding, revenue cycle)
Preferred Qualifications
• Experience with oncology workflows (medical and/or radiation oncology)
• Familiarity with radiation oncology data structures (e.g., ARIA)
• Knowledge of ETL processes and data warehousing concepts
• Experience with population health or value-based care analytics
• Certification in healthcare analytics or data tools (e.g., CHDA, Power BI, Tableau)