Sr Financial Data Analyst

Role overview

Financial and performance analytics

• Analyze financial and operational performance, including year-over-year changes, budget variances, revenue and expense trends, productivity, utilization, capacity, and reimbursement.
• Prepare concise executive-ready summaries, dashboards, and recommendations for strategic and operational decisions.
• Assess strategic opportunities with the Strategy Office and Finance; build financial models and support recommendations and go/no-go decisions.
• Track post-investment performance and provide financial thought partnership to the Strategy Office.

Predictive modeling and statistics

• Develop and evaluate predictive models for financial forecasting, patient volume, capacity utilization, reimbursement, labor requirements, resource consumption, and operational performance.
• Choose analytical methods based on the question, available data, assumptions, and intended use.
• Communicate model assumptions, limitations, confidence levels, and results to financial and operational stakeholders.
• Determine when predictive analysis is valuable and when a simpler method is more appropriate.

Required qualifications

• B.S. or B.A. in Finance, Accounting, Data Science, Business Administration, or another quantitative discipline.
• Five years of analytics experience in healthcare or another complex, multi-entity organization.
• Five years of experience working with SQL, Power BI, Tableau, Python, or other data tools.
• Experience using artificial intelligence to create efficiency in day-to-day responsibilities.

Compensation

• Annual pay range is $94,515.20–$133,432.00.