Data Analyst

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.

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)