• 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.

• Provide accurate & comprehensive data-driven results to answer business questions. • Answer follow-up questions regarding previous query results in a videoconference setting. • Familiarize with existing datasets and their correct interpretation for intelligent querying.

• Work with engineers, product managers, and product designers to create clear, customer-facing documentation for Metabase. • Collaborate with our Success Engineers to understand how customers think and develop best practices, guides, and tutorials to address customer needs. • Become a product expert, test new features, and provide product feedback.

• Build and maintain dashboards and reports in Sigma Computing to track key business metrics including marketing performance, customer acquisition, and operational KPIs • Write SQL queries to extract, analyze, and transform data from Snowflake to support ad-hoc analysis and recurring reporting needs • Support marketing analytics by analyzing campaign performance across paid channels (Google Ads, Facebook Ads, Bing Ads) and organic acquisition sources • Conduct cohort analysis and customer segmentation to understand lifetime value, retention patterns, and payback periods • Assist with monthly and quarterly business reporting, ensuring data accuracy and timely delivery • Collaborate with cross-functional teams to understand their data needs and translate business questions into analytical frameworks • Perform data quality checks and flag discrepancies to ensure reporting accuracy • Document analytical processes, data definitions, and report logic • Present findings and insights to stakeholders in clear, actionable formats • Support the analytics team on larger projects including attribution modeling and customer analytics initiatives