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Salary: USD 110,000 - 140,000 / annual
Figure (NASDAQ: FIGR) is transforming capital markets through blockchain technology. The company has originated over $22 billion in home equity loans (HELOCs) on its blockchain-native platform, making it the largest non-bank provider of home equity financing in the U.S. Figure combines blockchain's transparency and efficiency with AI-driven automation to reimagine how loans are originated, funded, and traded in secondary markets.
As a Senior Data Analyst, you will be a vital driver of growth and product evolution, partnering closely with Marketing, Product Management, and Engineering to optimize the borrower journey. Your work will directly influence customer acquisition, loan application funnel efficiency, and long-term customer value. You will bridge the gap between user behavior and business strategy, combining analytical rigor with product intuition to help leaders understand the "how" and "why" behind the customer experience.
Key responsibilities include:
• Data Modeling & Architecture: Design and implement robust data models that transform fragmented marketing spend and application event logs into structured, "gold-standard" datasets. Ensure product and acquisition data is clean, organized, and optimized for cross-functional use.
• Funnel Optimization: Build and maintain scalable frameworks to monitor the loan application funnel—identifying friction points, drop-off behaviors, and opportunities to improve conversion from lead to funded loan.
• Technical Impact: Elevate the analytics toolkit by writing high-performance BigQuery SQL and designing intuitive Tableau dashboards that empower stakeholders to track KPIs like CAC (Customer Acquisition Cost), Approval Rates, and Origination Volume in real-time.
• Experimental Design: Partner with Product and Marketing to design, execute, and analyze A/B tests, ensuring evidence-based decisions on everything from landing page optimization to credit offer presentation.
• Cross-Functional Insight: Act as the analytical backbone for the business, translating complex user behaviors into repeatable, automated insights that drive measurable growth and product-market fit.
You will be a generalist at heart—capable of architecting data models that serve the entire organization's need for clear, actionable intelligence from top-of-funnel to capital allocation.
REQUIREMENTS:
• 3–5+ years of experience using data to drive measurable business impact, specifically within Growth, Product Analytics, or Marketing Science
• Deep proficiency in SQL (preferably BigQuery); expert at handling complex joins and window functions to reconstruct user journeys across marketing touchpoints and loan applications
• Advanced Data Modeling: Proven ability to design and maintain structured datasets (star schemas, dbt models) that turn messy clickstream and CRM data into reliable tables
• Expertise with Tableau: Build intuitive dashboards that help managers visualize cohort performance, attribution models, and funnel velocity
• Statistical Depth: Strong grasp of statistical concepts like survival analysis, causal inference, and significance testing
• Fintech/Lending Context: Understanding of the lending lifecycle—from initial acquisition through underwriting to funding—and how product changes impact portfolio quality
• Communication: Clear, confident ability to translate complex data trends into actionable stories for both technical teams and executive leadership
• Adaptability: Generalist mindset—comfortable navigating ambiguity in a fast-moving environment and applying analytical toolkit across different business domains
• Adherence to company security policies and data handling procedures
