Analyst, Data Analytics & Business Intelligence

About the role

The Data Analyst is the operational engine of the Analytics & Business Intelligence function — the individual contributor who owns the day-to-day analytics work that keeps Holy Name Physician Partners' 374-provider network running with clear, timely, accurate decision support. This role reports to the Manager, Data Analytics & Business Intelligence. It is a heads-down analytical role focused on recurring reports, dashboard maintenance, provider productivity tracking, wRVU reconciliation, pro forma support, and ad-hoc analysis. The Analyst handles the recurring manual work that enables the Manager to focus on higher-order strategic analysis.

Responsibilities

• Recurring Reporting & Dashboards:
  • Own the monthly and quarterly recurring reporting cadence, including practice-level P&Ls, service-line performance dashboards, provider productivity reports, wRVU tracking, and revenue trend analyses.
  • Maintain executive dashboards and KPI scorecards; ensure timely, accurate delivery.
  • Automate recurring deliverables where possible to reduce manual effort and improve turnaround.
  • Publish reports on the agreed cadence without missed deadlines.
• Provider Productivity & wRVU Analytics:
  • Own monthly wRVU reconciliation across employed and affiliated providers.
  • Produce provider productivity reports by practice, sub-specialty, and TIN.
  • Support compensation reconciliation by aligning provider pay with wRVU production and contract terms.
  • Flag anomalies, gaps, or variances requiring Manager or Finance attention.
• Pro Forma & Modeling Support:
  • Support the Manager on pro forma modeling for physician recruitment, new site expansion, service-line growth, and partnership economics.
  • Build scenario analyses and sensitivity models under Manager direction.
  • Populate and maintain the pro forma template library.
  • Contribute data inputs such as volume assumptions, payer mix, and ramp curves.
• Ad-Hoc Analysis & Decision Support:
  • Respond to ad-hoc analytical requests from Finance, Operations, and service-line leadership under Manager triage.
  • Extract and analyze data from practice management systems, EMR, and financial systems.
  • Present findings in clear, executive-ready formats (tables, charts, visualizations).
  • Turn requests around on timelines consistent with executive decision-making.
• Data Integrity & Documentation:
  • Own the accuracy of wRVU, revenue, and productivity data feeding downstream analytics.
  • Maintain documentation on data sources, transformations, and analytical methodologies.
  • Reconcile data across source systems (practice management, EMR, billing, GL).
  • Escalate data-quality issues to the Manager with proposed fixes.
• AI-Augmented Workflow & Continuous Improvement:
  • Leverage AI tools and automation to accelerate analytical output (data cleaning, report generation, exploratory analysis).
  • Identify manual processes that can be automated and propose improvements.
  • Build repeatable, self-service reporting where feasible.
  • Stay current on analytics tooling and bring new capabilities into the function.

Requirements

• Education:
  • Bachelor’s degree in Business, Finance, Mathematics, Statistics, Data Analytics, Healthcare Administration, or related quantitative field Required.
  • Advanced degree (MBA, MHA, MS in Analytics) Preferred.
• Experience:
  • Experience in financial analysis, healthcare analytics, business intelligence, or a related analytical role Required.
  • Healthcare industry experience — physician practice, medical group, or health system analytics Preferred.
  • Experience with provider practice analytics (wRVU tracking, productivity reporting).

Skills

• Expert-level proficiency in Excel (advanced formulas, pivot tables, macros, financial modeling).
• Proficiency in business intelligence and visualization tools (Power BI, Tableau, or equivalent).
• SQL and database querying experience for data extraction from practice management and EMR systems.
• Familiarity with healthcare data structures (practice management, EMR, billing, revenue cycle).
• Working knowledge of AI/ML tools and their application to analytical workflows.
• Comfort with financial and operational metrics (wRVU, contribution margin, payer mix, productivity).
• Strong analytical thinking with attention to detail and accuracy.
• Clear communication — able to explain complex data to non-technical audiences.
• Self-directed with the ability to manage multiple recurring deliverables and ad-hoc requests in parallel.
• Collaborative — works effectively with Finance, service-line leadership, and operational teams.
• Intellectual curiosity and drive to continuously improve tools, processes, and analytical methods.
• Comfort operating in a lean, AI-augmented environment where individual output is expected to scale beyond traditional staffing models.

Benefits

Full-time and part-time employees have access to a comprehensive benefits package designed to support health, financial security, and quality of life:

• Low-cost medical coverage with generous employer contributions.
• Dental and vision plans.
• Discounted prescriptions.
• Access to on-site child care.
• 401(k) matching.
• Tuition reimbursement.
• Paid time off.
• Flexible spending accounts.
• Legal and voluntary coverage options.
• Life insurance.
• Free on-site parking.

Pay

Final base compensation will be determined based on factors such as employment status (Full/Part-Time or Per Diem), skills, education, and experience. Pay equity and internal equity of current team members are considered in any final offer.

Pay Range: $81,700–$102,100