• Conduct routine and emergency-response epidemiologic analyses to support measles surveillance, case investigation, and contact tracing activities. • Perform data cleaning, reconciliation, and linkage across multiple data sources (e.g., surveillance systems, laboratory data, immunization records). • Develop and maintain analytic datasets to monitor outbreak trends, transmission patterns, and response performance indicators. • Conduct special epidemiologic analyses during outbreaks, including assessment of exposure settings, secondary attack rates, vaccination status, and geographic clustering. • Evaluate and improve the completeness, accuracy, and timeliness of case investigation and contact tracing data; provide feedback to data collectors and program staff. • Collaborate with epidemiologists, informatics staff, and response leadership to identify data gaps and analytic needs during a measles outbreak. • Prepare clear written summaries, data tables, figures, and dashboards to support situational awareness and leadership briefings. • Provide technical assistance and guidance on data and analytic best practices to response leadership during emergency responses.

• Maintain a strong understanding of data and task workflows across operational departments. • Communicate the status of ongoing tasks and issues to end users, team leads, and DataOps leadership. • Analyze and troubleshoot insurance claims, eligibility, and import/export file mappings. • Identify and resolve issues related to enrollment and enrollment changes within EDI files, partnering with engineering teams as needed. • Coordinate ongoing EDI testing, implementations, and upgrades. • Troubleshoot and report operational errors, including file movement and SFTP connection issues. • Compare data files and reports against documented business requirements to ensure data quality and identify gaps. • Support continuous improvement of data workflows, documentation, and operational processes. • Perform additional duties as assigned by the Team Lead or DataOps Manager.

• Deep dive into past and ongoing trends and provide data driven insights that identify and predict risky behavior that could result in outsized operational, financial, and reputational losses for Lithic and our customers • Develop customer and program segmentation frameworks to enable proportionate monitoring across varied use cases and industries • Identify rule criteria, test and validate rule output, and report on portfolio and rule performance in ways that influence Lithic's risk strategy; support fraud authorization rule management for managed services clients • Create dashboards to monitor performance across relevant metrics and create alerts to highlight any anomalies or unusual trends • Identify new approaches and data sources that could help us better understand various forms of risk, and partner with our operations, and product and engineering teams to implement them • Build relationships with our customer-facing teams (and occasionally our customers themselves) to best inform our approach to managing risk in a way that enables prudent growth • Support risk assessments, audits, and ad-hoc projects as assigned

• Develop a strong understanding of MeridianLink decisioning platforms, including MeridianLink Consumer and DecisionLender, and how applications flow through the underwriting and approval process. • Analyze credit bureau data, application data, and loan performance data to evaluate portfolio risk, approval trends, and delinquency patterns. • Review and assess underwriting guidelines, scorecards, and decision rules to identify opportunities for optimization. • Interpret consumer credit reports, including tradelines, inquiries, utilization, and public records, to support risk profiling and policy recommendations. • Evaluate key lending metrics such as approval rate, decline rate, capture rate, delinquency, charge-offs, and loss rates. • Support clients in balancing risk management and growth through data-backed policy and strategy recommendations. • Prepare client-facing reports and dashboards that clearly communicate portfolio performance and risk trends. • Lead and participate in client meetings to present findings, explain credit risk drivers, and discuss optimization strategies. • Collaborate with internal analytics, engineering, and product teams to deliver high-quality analytics solutions. • Ensure accuracy and consistency across all analytical deliverables. • Contribute to internal best practices, documentation, and training related to credit risk and lending analytics. • Assist in developing scalable tools and templates for portfolio monitoring and underwriting analysis. • Serve as a trusted advisor to clients on industry best practices in credit risk management and consumer lending.