14 hours ago

Principal Data Analyst

Figure

Hybrid
Full Time
$178,200
Hybrid

Job Overview

Job TitlePrincipal Data Analyst
Job TypeFull Time
Offered Salary$178,200
LocationHybrid

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Job Description

About Figure

Figure (NASDAQ: FIGR) is transforming capital markets through blockchain, proving its real-world application in products used by hundreds of thousands of consumers and institutions. By combining blockchain's transparency and efficiency with AI-driven automation, Figure has reimagined loan origination, funding, and secondary market trading. This technology helps borrowers, investors, and financial institutions achieve better outcomes through faster processing, lower costs, and reduced bias.

With over 170 partners, Figure has originated more than $17 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's ecosystem also includes YLDS, an SEC-registered yield-bearing stablecoin, and other products reshaping consumer finance and capital markets.

Figure has been 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

At Figure, we are 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, credit is assessed, and customers experience financial products. Our data team is central to this 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 & Benefits

Figure offers a competitive compensation package including a salary range of $158,400-$198,000/yr, a 25% annual bonus target paid quarterly, and equity stock options. Benefits include comprehensive health, vision, and dental insurance (100% employer-paid premiums for employees and dependents on select plans), HSA, FSA, Dependent Care, 401k, commuter benefits, employer-funded life and disability insurance, 11 observed holidays & PTO plan, and up to 12 weeks paid family leave. Continuing education reimbursement is also provided.

Figure will not sponsor work visas for this position. All persons hired will be required to verify identity and eligibility to work in the United States.

Key skills/competency

  • Data Analysis
  • SQL
  • BigQuery
  • Tableau
  • Risk Modeling
  • Credit Analytics
  • Capital Markets
  • Python
  • Statistical Analysis
  • Financial Services

Tags:

Principal Data Analyst
Data Analysis
Risk Modeling
Credit Analytics
Capital Markets
Portfolio Optimization
Financial Analysis
Statistical Analysis
Strategic Insights
Stakeholder Communication
Business Impact
SQL
BigQuery
Tableau
Python
Data Visualization
Data Warehousing
ETL
Data Modeling
Statistical Software
Spreadsheet Software

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How to Get Hired at Figure

  • Research Figure's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Highlight extensive experience in data analysis, SQL, Tableau, and financial services, aligning with Figure's fintech focus.
  • Showcase your impact: Provide concrete examples of driving business outcomes in risk modeling, credit analytics, or capital markets roles.
  • Prepare for technical interviews: Master BigQuery SQL, data visualization with Tableau, and discuss statistical methods and Python applications.
  • Demonstrate business acumen: Be ready to discuss the intersection of finance, technology, and data, and how your insights influence strategic decisions.

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