• 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

• In collaboration with the data analytics team and under the direction of the Chief Member Experience Officer, the Data Analyst will create dynamic, interactive and intuitive business intelligence reports, dashboards and visualizations to support business decisions, and assure the accuracy and integrity of data. • This position can be remote.