Principal Data Analyst - Remote

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 $17 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, powering decisions from risk modeling and capital allocation to growth strategy. 

As a Principal Data Analyst, you will be a cornerstone of our analytics organization, partnering closely with Credit/Risk and Capital Markets to drive real financial outcomes. Your work will directly influence lending decisions, portfolio optimization, and the strategies behind our capital markets platform. You will connect analysis to the bigger picture across markets, products, and mission, combining analytical rigor with business intuition to help leaders understand what is happening and why it matters. You will also elevate our toolkit by building intuitive Tableau dashboards, writing performant BigQuery SQL, and designing frameworks that make insights repeatable and scalable across the company.

What You’ll Do

• Act as the analytics lead for Credit/Risk and Capital Markets, guiding decision-making through data-driven insights.
• Partner with cross-functional leaders to shape the questions that matter most, then answer them through thoughtful analysis and storytelling.
• Design and maintain robust Tableau dashboards that translate data into actionable narratives.
• Write and optimize BigQuery SQL to extract, transform, and analyze large-scale datasets.
• Develop analytical frameworks and models that support risk forecasting, pricing strategies, and portfolio performance.
• Apply statistical and experimental methods to test hypotheses, quantify uncertainty, and inform strategic trade-offs.
• Communicate findings clearly and persuasively to senior stakeholders.
• Champion a culture of data accuracy, curiosity, and continuous improvement.

What We Look For

• 7+ years of experience using data to drive measurable business impact.
• Deep proficiency in SQL (preferably BigQuery) and expertise with complex joins, subqueries, and recursive logic.
• Advanced experience with Tableau; you know how to build dashboards that influence decisions, not just report them.
• Strong understanding of risk modeling, credit analytics, or capital markets data structures.
• Proven experience in fintech or financial services environments.
• Working knowledge of Python for data manipulation, automation, or modeling.
• Appreciation for statistical concepts like causal inference, bias detection, and experimental design.
• Clear, confident communication with both technical and non-technical audiences.
• Comfort navigating ambiguity and setting analytical direction in fast-moving environments.
• A natural curiosity about how finance, technology, and data intersect to drive innovation.

Bonus Points

• Experience supporting product analytics or growth initiatives.
• A passion for problem-solving; you can’t resist finding out why a metric behaves the way it does.
• You embrace learning from mistakes and are energized by challenges that don’t have an obvious answer.

Salary

• Compensation Range: $158,400-$198,000/yr
• 25% annual bonus target, paid quarterly 
• Equity stock options package
• This is the compensation range for the United States, actual compensation may vary based on individual candidate experience, location, or evolving business needs

Benefits

• Comprehensive health, vision, and dental insurance with 100% employer-paid premiums for employees and their dependents on select plans
• Company HSA, FSA, Dependent Care, 401k, and commuter benefits
• Employer-funded life and disability insurance coverage
• 11 Observed Holidays & PTO plan
• Up to 12 weeks paid family leave
• Continuing education reimbursement