• Embed yourself in assigned business function to deeply understand their priorities, challenges, and opportunities • Proactively identify analytical opportunities before stakeholders ask—hunt for insights that drive action • Design and lead experiments, A/B tests, and pilots with clear success metrics and measurement frameworks • Deliver insights with clear recommendations and next steps, not just data summaries • Build dashboards, reports, and analytical frameworks that enable ongoing business monitoring • Conduct deep-dive analyses on business performance, customer behavior, and operational efficiency • Develop forecasting and predictive models to support strategic planning and resource allocation • Synthesize complex data into compelling narratives that drive stakeholder action • Train business partners on self-service analytics tools and metrics definitions • Create documentation and resources that enable stakeholders to answer basic questions independently • Serve as the data expert for your business area, ensuring consistent interpretation of metric

• Develop strategies for monitoring and preventing fraud across our network, advising on best practices and ensuring the strategies align with risk management goals. • Leverage advanced data analytics to identify loss drivers, derive insights and optimize fraud management strategies • Report on fraud trends and loss drivers to cross functional partners and senior management • Quickly respond to fraud rings and ensure issues raised by other teams are addressed in a timely manner • Work together with our operations team to help limit losses and ensure optimal review volumes • Assist with evaluation and development of new external or internal features/signals to improve our fraud detection capabilities • Assist with team planning and goal setting as well as coaching and mentorship of more junior team members

• Support SQL-based data processes, including writing and modifying intermediate-level SQL queries • Support the senior SQL DBA with routine data operations, job monitoring, and database process improvements • Analyze current and potential disparate data sources • Review and suggest refinements to proposed database modifications • Assist in monitoring and maintaining SSIS packages; troubleshoot and escalate failures or performance issues • Develop, maintain, and optimize automated workflows using Microsoft Power Automate Flows • Use Microsoft Copilot to streamline documentation, automate repetitive tasks, and enhance analytics workflows • Learn and apply Power BI to create, modify, and maintain dashboards and reports (Power BI experience preferred but not required) • Maintain Measures and Metrics reports to assure the continued accuracy and performance • Validate data accuracy and participate in routine data quality checks • Work with the Measures and Metrics team to create and further define projects and tasks from verbal customer cues and requests • Support all phases of solution deployment activities in Power BI or other accepted reporting/data visualization tools • Assist with the extraction of metrics requirements and assignments for proposed or impending initiatives • Assist with documenting processes, data flows, automations, and reporting procedures • Contribute to meeting notes, agendas, and metrics documentation as needed • Collaborate with the Measures & Metrics team on metric definitions, reporting updates, and automation opportunities • Contribute to or write portions of Measures and Metrics documentation • Support quality and process improvement methodologies to develop and continuously update team and program processes, documentation and artifact templates • Possible work in assisting with the design, creation and maintenance SharePoint sites, pages, lists, and libraries.

• Run ad hoc queries and answer questions submitted by customers and internal stakeholders. • Lead projects to produce new reports: Coordinate with stakeholders to define the need, iterate on the design, work with technical team to create underlying data pipelines. • Lead select analytics projects depending on team need – projects may include product analytics, clinical analytics or business analytics. • Troubleshoot issues with automated reports. • Contribute to team documentation. • React to stakeholders needs in a timely manner (typically within a day or sooner). • Recognize and troubleshoot reporting issues with urgency (also within a day). • Manage at least 1-2 longer term projects in addition to the daily stakeholder management and troubleshooting.