Senior Data Analyst

Figure Lending; Los Angeles (CA); Hybrid; USD 110,000 - 140,000; Full time

Benefits offered by this job

Medical, Dental, Vision insurance

Employer-paid premiums for dependents

HSA and FSA options

401(k) plan

Paid holidays and paid family leave

Continuing education reimbursement

Job summary

Figure Lending in Los Angeles, CA is seeking a data analytics professional to shape the borrower journey and growth strategy. You will design robust data models, maintain clean acquisition data, and build monitoring for the loan funnel to drive improvements from lead to funded loan, with a focus on cross-functional collaboration.

Proficiency in SQL (BigQuery), Tableau, and dbt is required, as is experience with survival analysis and causal inference to evaluate time-to-repayment and conversion

Qualifications

• 3–5+ years of experience using data to drive measurable business impact in Growth, Product Analytics, or Marketing Science.
• Strong SQL skills with BigQuery, including complex joins and window functions.

Responsibilities

• Design and implement robust data models that convert marketing spend and event logs into structured datasets.
• Maintain clean, organized product and acquisition data for cross-functional use.
• Build and scale monitoring for the loan application funnel to identify friction and improve conversions.
• Enhance analytics with BigQuery SQL and Tableau dashboards to track KPIs like CAC, approval rates, and origination volume.
• Partner with Product and Marketing to plan, run, and analyze A/B tests for landing page optimization and credit offer presentation.
• Turn complex user behavior into automated insights that support growth and product-market fit.

Skills

Analytical thinking

Storytelling with data

Cross-functional collaboration

Tools

BigQuery

Tableau

dbt

Job description

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.

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