Senior Data Analyst, Lending

About the role

This Senior Data Analyst will be central to Figure's lending operations, focusing on converting disparate marketing and application data into structured, usable datasets. The work involves creating robust data models to ensure product and acquisition data is clean and optimized for various teams. A key part of the role is to build and maintain frameworks for monitoring the loan application funnel, identifying areas where applicants drop off and finding ways to improve conversion rates from initial lead to funded loan.

The role requires elevating the company's analytics capabilities by developing high-performance SQL queries in BigQuery and crafting intuitive Tableau dashboards. These tools will enable stakeholders to track critical performance indicators such as Customer Acquisition Cost (CAC), approval rates, and origination volume in real-time. The analyst will also collaborate with Product and Marketing teams to design, execute, and analyze A/B tests, ensuring that decisions, from landing page optimization to credit offer presentations, are data-driven.

Success in this position means acting as the analytical foundation for the business, translating intricate user behaviors into automated, repeatable insights. This effort directly contributes to measurable growth and helps achieve product-market fit. The analyst is expected to apply their analytical toolkit to solve problems across different business domains within a fast-moving environment.

The salary for this position ranges from $110,000 to $150,000 USD annually.

Skills that matter here

• SQL: The role requires deep proficiency in SQL, especially BigQuery, to handle complex joins and window functions for reconstructing user journeys and processing loan application data.
• BigQuery: This tool is essential for writing high-performance queries and managing large datasets to support real-time KPI tracking and data modeling.
• Tableau: The analyst will design intuitive dashboards in Tableau to visualize cohort performance, attribution models, and funnel velocity for various stakeholders.

Who this role suits

• A person who thrives on transforming messy, fragmented data into structured, actionable insights.
• Someone with a strong statistical background who can apply concepts like survival analysis and causal inference to business problems.
• An individual who excels at communicating complex data trends and stories to both technical and executive audiences.
• A generalist who is comfortable with ambiguity and can apply analytical skills across diverse business challenges in a dynamic setting.

From the employer

What You’ll Do

• 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.

What We Look For

• 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.

Benefits

• Comprehensive medical, dental, and vision coverage, with 100% employer-paid premiums for employees and their dependents on select plans.
• Company HSA, FSA, Dependent Care FSA, 401(k), and commuter benefits.
• Employer-paid life and disability insurance.
• 11 observed holidays and PTO plan.
• Up to 12 weeks of paid family leave.
• Continuing education reimbursement.