Growth Data Analyst — Fintech Analytics & Growth

Figure; Northern (KY); Hybride; USD 110 000 - 140 000; Plein temps

Avantages offerts par ce poste

Health insurance

HSA/FSA programs

401(k) matching

Paid time off

Paid family leave

Education reimbursement

Commuter benefits

Résumé du poste

Figure, a leading data-driven fintech company, is seeking a Senior Data Analyst to accelerate growth and product evolution. You will partner with Marketing, Product Management, and Engineering to optimize the borrower journey, turning user behavior into actionable insights that inform strategy from acquisition to funding.

You will design robust data models, build BigQuery SQL pipelines, and create Tableau dashboards to monitor KPIs like CAC and origination volume.

Qualifications

• 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

Responsabilités

• 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, 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.

Connaissances

SQL (BigQuery)

Data Modeling

Tableau

A/B Testing

Growth Analytics

Communication

Description du poste

Figure, a leading data-driven fintech company, is seeking a Senior Data Analyst to accelerate growth and product evolution. You will partner with Marketing, Product Management, and Engineering to optimize the borrower journey, turning user behavior into actionable insights that inform strategy from acquisition to funding.

You will design robust data models, build BigQuery SQL pipelines, and create Tableau dashboards to monitor KPIs like CAC and origination volume.