• Develop automated reports, dashboards, and insights across the full credit lifecycle. • Support underwriting, risk management, portfolio monitoring, and credit performance. • Build credit risk dashboards, reports, and analytics using Python and Tableau. • Analyze the credit lifecycle (underwriting, performance, delinquency, and collections). • Develop and automate reporting pipelines and monitoring frameworks. • Translate analytics into strategies for risk, business, and client teams. • Perform deep‑dive analyses on credit behavior, defaults, and scoring models. • Present insights to clients in clear formats. • Guide clients in using dashboards and analytics for decision‑making. • Ensure data quality, accuracy, and compliance with reporting standards. • Improve existing reporting and build new analytics for better forecasting and risk assessment. • Mentor junior team members on visualization, reporting, and credit analytics. • Be a trusted advisor in client meetings, presentations, and workshops.