• Collect, prepare, and analyze data to support operational and strategic needs • Perform ad hoc data queries to address emerging questions • Validate datasets, reports, and dashboards to ensure accuracy, completeness, and alignment with PSI standards • Develop data visualizations • Collaborate with internal and external stakeholders to resolve data-related issues • Work with department representatives to define requirements, identify data sources, and design metrics tracking

• supports the Manager – Financial Systems & Data Excellence • collaborates closely with Finance, ERP/IT, Audit/Compliance, and other areas • steward and analyze financial data across all Mercy platforms • champions standardization, automation, and process improvement • maintain the integrity, reliability, and performance of Mercy’s financial systems • administer the Infor–Lawson General Ledger and related financial ERP systems • supporting system integrations, maintaining data accuracy across environments • supports upgrades, patches, reporting structures, and system enhancements

• Mine data from primary and secondary sources, then reorganize said data in a format that can be easily read by either human or machine. • Prepare reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data. • Collaborate with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance. • Use statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts. • Create appropriate documentation that allows stakeholders to understand the steps of the data analysis process and duplicate or replicate the analysis if necessary.

• Act as a finance team subject matter expert on internal data sources and structures, contributing to the design and development of a semantic layer for enterprise and financial analytics. • Monitor and analyze financial, business, and key operational metrics to track progress towards goals and support data-driven organizational decisions. • Participate in budgeting processes and conduct variance analyses in collaboration with functional leaders and the accounting team. • Develop and manage cloud cost-attribution models from COGS to Revenue. • Perform ad-hoc analyses to support business needs. • Lead initiatives to identify inefficiencies and optimize cloud costs, leveraging both provider tools and internal dashboards to achieve significant savings. • Develop new metrics and performance reporting as the business evolves. • Create and maintain comprehensive business and technical documentation for financial data processes. • Empower others to utilize data effectively for strategic insights through advocacy and education.