About this role
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
Bachelors 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.
Qualifications
Required Qualifications
Bachelors 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)