Senior Data Analyst

Figure Markets; Stati Uniti; Remoto; USD 110.000 - 140.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health benefits

RSU equity

Retirement benefits

Paid time off

Family leave

Education reimbursement

Descrizione del lavoro

Figure, a leading fintech in the United States, is seeking a Senior Data Analyst to accelerate growth by turning user behavior into actionable insights. You will partner with Marketing, Product, and Engineering to optimize borrower journeys, model data, and present KPI dashboards.

Strong SQL, data modeling, and Tableau expertise are essential in a fast-moving, security-focused environment. You will own analytics from funnel to funding, drive experiments, and translate data into strategies that

Competenze

• 3–5+ years of experience using data to drive measurable business impact.
• Deep proficiency in SQL (BigQuery), with complex joins and window functions.
• Advanced data modeling skills (star schemas, dbt models).
• Expertise with Tableau for actionable dashboards.
• Statistical knowledge including survival analysis and causal inference.
• Understanding of fintech lending lifecycle.
• Strong communication and ability to translate data trends to leadership.
• Adaptable generalist capable of solving problems across business areas.
• Adhere to security policies and complete mandatory training.

Mansioni

• Data Modeling & Architecture: Design and implement robust data models that transform fragmented marketing spend and application event logs into structured, 'gold-standard' datasets.
• Funnel Optimization: Build and maintain scalable frameworks to monitor the loan application funnel and improve conversion.
• Technical Impact: Write high-performance BigQuery SQL and design Tableau dashboards to track KPIs in real-time.
• Experimental Design: Design, execute, and analyze A/B tests to inform decisions on landing pages and credit offers.
• Cross-Functional Insight: Translate complex user behavior into automated insights that drive growth and product-market fit.

Conoscenze

Data analytics

SQL (BigQuery)

Data modeling

Tableau

Statistics

Fintech domain

Communication

Adaptability

Formazione

N/A

Strumenti

dbt

Descrizione del lavoro

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.

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 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.

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.

What You’ll Do

• Data Modeling & Architecture: 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.
• 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 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.
• Experimental Design: 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.
• 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.

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.
• 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 for the entire business.
• Expertise with Tableau: You don’t just report data; you build intuitive dashboards that help managers visualize cohort performance, attribution models, and funnel velocity.
• Statistical Depth: Strong grasp of statistical concepts like survival analysis (to model time-to-repayment or time-to-next-loan), 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: 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.
• Adhere to all company security policies and data handling procedures.
• Complete mandatory security awareness training within required timeframes.
• Promptly report any suspected security incidents or suspicious activity to the Security team.
• Base Compensation Range: $110,000 - $140,000 annually
• Company equity in the form of RSUs

This is the compensation range for the role in the United States. Actual compensation may vary based on a candidate’s experience, skills, location, internal equity, and evolving business needs. While most offers are generally made within the middle of the range, final compensation is determined based on the factors above.

• 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

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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.