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Senior Data Analyst, Lending

Data AnalystData AnalystFull TimeRemoteSeniorTeam 501-1,000H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

8 days ago

Salary

$110K - $150K / year

Seniority

Senior

Bachelor Degree3 yrs expEnglishBigQuerySQLTableau

Job Description

Senior Data Analyst, Lending

Figure

• 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.

Job Requirements

  • 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

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