Sr Financial Data Analyst

Fairview Health Services is seeking a Sr Financial Data Analyst to tackle complex healthcare finance and operational performance questions using advanced financial, statistical, and data analytics. In this role, you will independently drive analytical projects and translate financial, clinical, and operational data into insights that support performance improvement, decision-making, and strategic planning. This position is based onsite in Saint Paul, MN.

What you’ll do

• Lead complex analyses that explain financial and operational performance, including year-over-year changes, budget-to-actual variances, revenue and expense trends, and key drivers such as productivity, utilization, capacity, and reimbursement.
• Create concise, executive-ready summaries, dashboards, and recommendations that connect detailed findings to strategic and operational decisions.
• Partner with the Strategy Office and Finance to support end-to-end financial assessment of strategic opportunities.
• Build complex financial models to support strategic recommendations, collaborate with the Strategy Office to present findings to senior leadership, and help inform go/no-go decisions.
• Support post-investment performance tracking for strategic initiatives.
• Act as a financial thought partner to shape strategic recommendations, applying analytical rigor to decisions.
• Develop and evaluate predictive models for forecasting and operational planning, including patient volume, capacity utilization, reimbursement, labor requirements, resource consumption, and broader operational performance.
• Select analytical techniques aligned to the business question, available data, assumptions, and intended use of results.
• Communicate model assumptions, limitations, confidence levels, and results in terms understandable to both financial and operational stakeholders.
• Determine when statistical or predictive analysis adds value versus when a simpler financial or operational approach is more appropriate.

What you bring

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

Tools and technologies

• SQL
• PowerBI
• Tableau
• Python
• Artificial intelligence

Compensation

USD 94,515 - 133,432 per year.