Figure
Figure
Figure este o companie fintech care dezvoltă produse bazate pe blockchain pentru servicii financiare. Oferta sa include finanțarea prin capitalul imobiliar, creditarea consumatorilor, gestionarea activelor, inițierea împrumuturilor și tranzacții financiare conexe, utilizând Provenance Blockchain pentru a simplifica procesele pentru consumatori și instituții financiare. Compania reunește expertiză în tehnologie și finanțe pentru a crea instrumente mai rapide și mai eficiente pentru creditare și gestionarea activelor.

Senior Data Analyst — Figure (Remote, United States)

Drive borrower acquisition, loan-funnel optimization, and product growth through analytics at Figure. Build BigQuery data models, Tableau dashboards, and experiments for its blockchain-powered lending platform.

Descriere

  • Create reliable data models that convert marketing spend and application events into trusted, analysis-ready datasets.
  • Maintain clean, structured product and acquisition data for cross-functional teams.
  • Develop scalable monitoring frameworks for the loan application funnel.
  • Analyze friction, drop-off patterns, and conversion opportunities from lead through funded loan.
  • Use advanced BigQuery SQL and Tableau to track KPIs such as customer acquisition cost, approval rates, and origination volume.
  • Collaborate with Product and Marketing on the design, execution, and analysis of A/B tests.
  • Turn complex user behavior into automated, repeatable insights that support measurable growth and product-market fit.
  • Work with Marketing, Product Management, and Engineering to improve the borrower journey.

Cerințe

  • Bring at least 3–5 years of experience applying data to measurable business outcomes in Growth, Product Analytics, or Marketing Science.
  • Demonstrate advanced SQL skills, preferably in BigQuery, including complex joins and window functions.
  • Design and maintain structured datasets such as star schemas and dbt models.
  • Build Tableau dashboards and apply cohort analysis, attribution modeling, and funnel-velocity analysis.
  • Understand survival analysis, causal inference, and statistical significance testing.
  • Understand the lending lifecycle from acquisition and underwriting through funding, including how products affect portfolio quality.
  • Communicate complex data patterns clearly as actionable recommendations for technical teams and executive leaders.
  • Work effectively as a generalist in a fast-paced, ambiguous environment.
  • Follow company security policies and data-handling procedures.
  • Complete required security-awareness training within specified deadlines.
  • Report suspected security incidents or suspicious activity to the Security team without delay.
  • Be authorized to work in the United States; Figure does not sponsor work visas.

Beneficii

  • Target annual bonus of 25%, paid quarterly.
  • Company equity through restricted stock units.
  • Medical, dental, and vision coverage, including 100% employer-paid premiums for employees and dependents on select plans.
  • Access to company HSA, FSA, Dependent Care FSA, 401(k), and commuter benefit programs.
  • Employer-paid life and disability insurance.
  • Eleven observed holidays and a paid time off plan.
  • Up to 12 weeks of paid family leave.
  • Reimbursement for continuing education.

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