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](

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/Staff Data Analyst, you will be a vital driver of our growth and product evolution, partnering closely with Marketing, Product Management, and Engineering to optimize the borrower journey. Your work will directly influence how we acquire customers, the efficiency of our loan application funnel, and the long-term value of our customer base.

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. While your primary focus is on the front-end growth engine, you are 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.

• Design and implement robust data models that transform fragmented marketing spend and application event logs into structured, "gold-standard" datasets. You will ensure our product and acquisition data is clean, organized, and optimized for cross-functional use.
• 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.
• Elevate our 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.
• Partner with Product and Marketing to design, execute, and analyze A/B tests, ensuring we make evidence-based decisions on everything from landing page optimization to credit offer presentation.
• Act as the analytical backbone for the business, translating complex user behaviors into repeatable, automated insights that drive measurable growth and product-market fit.

• 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); you are an expert at handling complex joins and window functions to reconstruct user journeys across marketing touchpoints and loan applications.
• Proven ability to design and maintain structured datasets (star schemas, dbt models) that turn messy clickstream and CRM data into reliable tables for the entire business.
• You don’t just report data; you build intuitive dashboards that help managers visualize cohort performance, attribution models, and funnel velocity.
• Strong grasp of statistical concepts like survival analysis (to model time-to-repayment or time-to-next-loan), causal inference, and significance testing.
• Understanding of the lending lifecycle from initial acquisition through underwriting to funding and how product changes impact portfolio quality.
• Clear, confident ability to translate complex data trends into actionable stories for both technical teams and executive leadership.
• A generalist mindset you are comfortable navigating the ambiguity of a fast-moving environment and can apply your analytical toolkit to solve problems across different business domains.

• Experience building or working with multi-touch attribution (MTA) to understand the ROI of various marketing channels.
• Familiarity with the mechanics of credit products and how user experience influences borrower selection and risk.
• You can’t resist digging into a data anomaly to find the "why" behind a sudden shift in application volume or a drop in funnel conversion.
• You embrace learning from mistakes and are energized by the challenge of optimizing digital lending experiences through technical solutions.

• Base Compensation Range: $110,000-$150,000/yr
• 25% annual bonus target, paid quarterly 
• Company equity in the form of RSUs

• Comprehensive medical, dental, and vision coverage, with 100% employer-paid premiums for employees and their dependents on select plans

Depending on your residential location certain laws might regulate the way Figure manages applicant data. California Residents, please review our [California Employee]( and [General Workforce Privacy Notice]( for further information. By submitting your application, you are agreeing and acknowledging that you have read and understand the above notice.

Figure will not sponsor work visas for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

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