Optum, part of UnitedHealth Group, is a global health services organization that delivers care enabled by technology. This Senior Data Analyst will partner with the Credit team to deliver data-driven insights across credit risk, portfolio performance, underwriting, and loss mitigation. Responsibilities include developing, optimizing, and maintaining complex SQL queries to extract, transform, and analyze large volumes of financial and credit data from enterprise data warehouses; applying Python (pandas, NumPy) for advanced data analysis, automation, validation, and feature engineering; designing, building, and supporting interactive dashboards and reports in Power BI for Credit leadership and business stakeholders; creating and maintaining SSRS reports to support operational, regulatory, and management reporting needs; performing advanced Excel analysis (pivot tables, Power Query, Power Pivot, complex formulas) for ad hoc requests; analyzing credit metrics (delinquency, roll rates, charge-offs, recoveries, exposure, vintages) to identify trends and risks; partnering with Credit Risk, Underwriting, Finance, and Compliance to ensure reports align with business rules and regulatory expectations; validating data integrity across multiple systems; translating complex findings into clear insights and recommendations for both technical and non-technical audiences; supporting automation and process improvements to enhance efficiency, scalability, and self-service analytics; mentoring junior analysts and contributing to analytics best practices; ensuring adherence to data governance,

Optum, part of UnitedHealth Group, is a global health services organization that delivers care enabled by technology. This Senior Data Analyst will partner with the Credit team to deliver data-driven insights across credit risk, portfolio performance, underwriting, and loss mitigation. Responsibilities include developing, optimizing, and maintaining complex SQL queries to extract, transform, and analyze large volumes of financial and credit data from enterprise data warehouses; applying Python (pandas, NumPy) for advanced data analysis, automation, validation, and feature engineering; designing, building, and supporting interactive dashboards and reports in Power BI for Credit leadership and business stakeholders; creating and maintaining SSRS reports to support operational, regulatory, and management reporting needs; performing advanced Excel analysis (pivot tables, Power Query, Power Pivot, complex formulas) for ad hoc requests; analyzing credit metrics (delinquency, roll rates, charge-offs, recoveries, exposure, vintages) to identify trends and risks; partnering with Credit Risk, Underwriting, Finance, and Compliance to ensure reports align with business rules and regulatory expectations; validating data integrity across multiple systems; translating complex findings into clear insights and recommendations for both technical and non-technical audiences; supporting automation and process improvements to enhance efficiency, scalability, and self-service analytics; mentoring junior analysts and contributing to analytics best practices; ensuring adherence to data governance,