Sr Financial Data Analyst

Fairview Health Services•St. Paul, MN

19h•Onsite

About The Position

Fairview is looking for a Senior Financial Data Analyst to join our team. The Senior Financial Data Analyst applies advanced financial, statistical, and data analytics techniques to complex healthcare finance and operational performance questions. This role transforms financial, clinical, and operational data into actionable insights that support performance improvement, decision-making, and strategic planning. The position independently leads analytical projects from problem definition through data acquisition, modeling, interpretation, and presentation. It combines financial judgment with technical capabilities in statistical analysis, data visualization, and predictive modeling to translate complex findings into clear recommendations for financial and executive audiences.

Requirements

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

Responsibilities

Lead complex analyses explaining financial and operational performance, including year-over-year changes, budget-to-actual variances, revenue and expense trends, productivity, utilization, capacity, reimbursement, and other key drivers.
Prepare concise, executive-ready summaries, dashboards, and recommendations that connect detailed analysis to strategic and operational decisions.
Support end-to-end financial assessment of strategic opportunities in close partnership with the Strategy Office and Finance.
Build complex financial models and supports development of strategic recommendations, working with the Strategy Office to present findings to senior leadership and inform go/no-go decisions; also supports post-investment performance tracking for strategic initiatives.
Support the Strategy Office as a financial thought partner, helping shape strategic recommendations and applying analytical rigor to decision making.
Develop and evaluate predictive models supporting financial forecasting, patient volume, capacity utilization, reimbursement, labor requirements, resource consumption, and operational performance.
Select analytical techniques based on the business question, available data, assumptions, and intended use of results.
Communicate model assumptions, limitations, confidence levels, and results in language financial and operational stakeholders can understand and use.
Identify when statistical or predictive analysis adds value and when a simpler financial or operational methodology is more appropriate.