Senior Data Analyst, Figure

• 3–5+ years of experience using data to drive measurable business impact, specifically within loan servicing, collections, or operational analytics
• Deep proficiency in SQL (preferably BigQuery); you are an expert at handling complex joins, subqueries, and window functions to reconstruct borrower payment histories and lifecycle events
• Proven ability to design and maintain structured datasets and schemas that transform messy operational logs into clean, reliable tables for servicing performance
• You don’t just report data; you build intuitive dashboards that help managers visualize roll rates, delinquency buckets, and agent productivity
• Strong understanding of servicing-specific metrics such as Net Charge-Offs (NCO), recovery rates, payoff behaviors, and loss mitigation effectiveness
• Proven track record in a fintech or financial services environment, with a solid grasp of how servicing data feeds back into broader Credit/Risk and Capital Markets strategies
• Working knowledge of Python for data manipulation, automating recurring servicing reports, or performing ad-hoc cohort analysis
• Appreciation for experimental design for A/B testing collections strategies
• Clear, confident ability to translate complex servicing trends into actionable insights for both technical teams and operational leadership
• Comfort navigating the ambiguity of a fast-moving environment and the ability to set analytical direction when servicing workflows or regulations shift

Desirable

• As a Senior Data Analyst, you will be a vital driver of our Servicing operations, partnering closely with Engineering, Loan Operations, Collections, and Customer Success to optimize the post-funding lifecycle
• Your work will directly influence loss mitigation strategies, payment performance, and the long-term health of our portfolio
• You will bridge the gap between complex operational data and actionable strategy, combining analytical rigor with servicing-specific intuition to help leaders understand borrower behavior and operational bottlenecks
• You won't just report numbers; you'll explain why they matter for our customers and our bottom line
• Design and implement robust data models that transform raw servicing logs into structured, "gold-standard" datasets. You will ensure our servicing data is clean, organized, and optimized for both reporting and advanced analytics
• Build and maintain scalable frameworks to monitor delinquency trends, roll rates, and recovery performance using the structured datasets you’ve engineered
• Elevate our analytics toolkit by writing high-performance BigQuery SQL and designing intuitive Tableau dashboards that empower stakeholders to make data-driven decisions in real-time
• Create and document standardized data schemas that make insights repeatable across the company, ensuring a "single source of truth" for all servicing-related metrics
• Act as the analytical backbone for the Servicing team, translating complex operational workflows into logical data structures that drive measurable financial outcomes