Senior Data Analyst

Shape the borrower journey and growth strategy with data modeling, analytics, and experimentation.

Responsibilities

• Design and implement robust data models that convert fragmented marketing spend and application event logs into structured “gold-standard” datasets.
• Maintain clean, organized product and acquisition data so it can be used reliably across cross-functional teams.
• Build and scale monitoring frameworks for the loan application funnel to find friction, drop-off patterns, and conversion improvements from lead to funded loan.
• Enhance the analytics stack with high-performance BigQuery SQL and Tableau dashboards to track KPIs such as CAC, Approval Rates, and Origination Volume in near real-time.
• Partner with Product and Marketing to plan, run, and analyze A/B tests, supporting data-driven decisions for initiatives like landing page optimization and credit offer presentation.
• Serve as an analytical backbone by turning complex user behavior into repeatable, automated insights that support measurable growth and product-market fit.

Requirements

• 3–5+ years of experience using data to drive measurable business impact, focused on Growth, Product Analytics, or Marketing Science.
• Strong SQL skills (preferably BigQuery), including advanced work with complex joins and window functions to reconstruct user journeys across marketing touchpoints and loan applications.
• Experience designing and maintaining structured datasets using approaches like star schemas and dbt models to transform clickstream and CRM data into reliable tables.
• Tableau expertise to build clear dashboards for cohort performance, attribution models, and funnel velocity.
• Working knowledge of statistics including survival analysis (for time-to-repayment or time-to-next-loan), causal inference, and significance testing.
• Understanding of the lending lifecycle from acquisition through underwriting to funding, and how product changes affect portfolio quality.
• Ability to translate complex data trends into clear narratives for both technical teams and executive leadership.
• Generalist mindset to work through ambiguity and apply analytical tools across multiple business domains.
• Adhere to company security policies and data handling procedures.
• Complete required security awareness training within required timeframes.
• Promptly report suspected security incidents or suspicious activity to the Security team.

Tech Stack

• SQL, BigQuery, Tableau, dbt, star schemas

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 a PTO plan.
• Up to 12 weeks of paid family leave.
• Continuing education reimbursement.

Compensation

• Base compensation range: $110,000 - $140,000 annually.
• 25% annual bonus target, paid quarterly.
• Company equity in the form of RSUs.

Location & Work Details

• Los Angeles, CA (hybrid)

Visa: Figure does not sponsor work visas for this position.

Eligibility: All persons hired must verify identity and eligibility to work in the United States and complete the required employment eligibility verification form upon hire.

#LI-SB1 #LI-Hybrid