• Transform operational, clinical, and system data into actionable insights • Monitor daily, weekly, and monthly productivity metrics • Design, develop, and maintain dashboards and standardized reports • Analyze documentation trends impacting quality • Monitor AI-assisted workflow performance and adoption trends • Act as a data liaison between analytics and non-technical stakeholders • Identify opportunities to streamline workflows and reduce manual effort

• Design, build and own core analytical metrics and dashboards used by leadership and operating teams • Analyze transaction, customer, and credit data to drive decisions across credit risk, • fraud & AML, portfolio performance, unit economics, and growth • Build automations and data pipelines using SQL and Python (or similar) • Partner closely with Risk, Product, Growth, Finance, and Compliance leaders on high-impact initiatives • Turn messy, ambiguous questions into clean data, clear metrics and actionable insights • Perform and own business-critical compliance reporting activities for the Risk team

• Design, build and own core analytical metrics and dashboards used by leadership and operating teams • Analyze transaction, customer, and credit data to drive decisions across credit risk, fraud & AML, portfolio performance, unit economics, and growth • Build automations and data pipelines using SQL and Python (or similar) • Partner closely with Risk, Product, Growth, Finance, and Compliance leaders on high-impact initiatives • Turn messy, ambiguous questions into clean data, clear metrics and actionable insights • Perform and own business-critical compliance reporting activities for the Risk team

• Supervise and develop a team of data analysts, creating goals and career growth opportunities • Build and lead a guild of analysts to mature processes and techniques that overcome common challenges • Foster a culture of continuous improvement, analytical excellence, and rigorous validation • Establish practices for proving that solutions work before full deployment • Build strong relationships with stakeholders across business areas, spending routine time understanding their needs • Lead structured discovery conversations that translate ambiguous requirements into well-defined, actionable work • Guide stakeholders through a disciplined process to identify work that delivers measurable business value • Work with the Data Platform Manager to coordinate team priorities and deliver maximum value • Bridge the gap between technical and non-technical audiences through clear communication • Conduct comprehensive data profiling to deeply understand what the data means, including its quality, patterns, and business context • Design data models that serve critical business needs, from profiling source data to prototyping dimensional models • Collaborate with Data Warehouse Engineers to refine models and develop transforms to populate them • Validate and test analytical solutions to prove they work before broader implementation • Create compelling reports and dashboards in Power BI that measure what truly matters • Define and classify key metrics that drive business decisions • Develop data governance frameworks, including data dictionaries, data mapping, and automated profiling • Document data meaning and lineage to build organizational knowledge • Increase stakeholder ability to use and author their own reports, working toward self-service analytics • Serve as a subject matter expert, deepening the organization's understanding of business processes and data needs • Monitor usage and adoption to continuously improve data products