Senior Data Analyst Servicing

About Figure Figure (NASDAQ: FIGR) is transforming capital markets through blockchain. We’re proving that blockchain isn’t just theory - it’s powering real products used by hundreds of thousands of consumers and institutions.  By combining blockchain’s transparency and efficiency with AI-driven automation, we’ve reimagined how loans are originated, funded, and traded in secondary markets. From faster processing times to lower costs and reduced bias, our technology is helping borrowers, investors, and financial institutions achieve better outcomes. Together with our 170+ partners, we’ve originated over $22 billion in home equity loans (HELOCs) on our blockchain-native platform, making Figure the largest non-bank provider of home equity financing in the U.S. Figure’s ecosystem also includes YLDS, an SEC-registered yield-bearing stablecoin that operates as a tokenized money market fund, and several other products and platforms that are reshaping consumer finance and capital markets.  We’re proud to be recognized as one of Forbes’ Most Innovative Fintech Startups in 2025 and Fast Company’s Most Innovative Companies in Finance and Personal Finance. About the Role At Figure, we’re redefining what’s possible at the intersection of finance and technology. Fresh off our IPO, we are building the next generation of financial infrastructure, transforming how capital moves, how credit is assessed, and how customers experience financial products. Our data team sits at the heart of that transformation, serving as the analytical engine that powers the entire business. From architecting the data models that drive risk and capital allocation to delivering the reporting and insights that guide growth strategy and operational excellence, we ensure every department has the intelligence needed to win. 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. What You’ll Do 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. What We Look For 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...