Senior Data Analyst

Figure

. Design and implement robust data models transforming marketing spend and application event logs into structured, gold-standard datasets.

Posted 10/8/2026full-timeRemote • United StatesSenior💰 $110,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in SQL, particularly BigQuery, for data modeling and analysis, while effectively translating complex data insights into actionable strategies that enhance the borrower journey and drive measurable business growth.

Highest-signal resume keywords

BigQuery SQL ProficiencyTableau Dashboard DesignData Model DesignGrowth AnalyticsLending Lifecycle Understanding

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLBigQueryData ModelingTableauCausal InferenceSurvival AnalysisAttribution ModelsFunnel AnalysisStar Schema DesignDBT Models

Soft Skills

Clear CommunicationAnalytical ThinkingAdaptabilityCollaboration

Industry Keywords

Marketing ScienceProduct AnalyticsGrowthLoan Application FunnelConversion OptimizationSecurity PoliciesData Handling Procedures

Tech Stack

Tools & technologies

BigQuerySQLTableau

About the role

Key responsibilities & impact

Design and implement robust data models transforming marketing spend and application event logs into structured, gold-standard datasets.
Ensure product and acquisition data is clean, organized, and optimized for cross-functional use.
Build and maintain scalable frameworks to monitor the loan application funnel.
Identify friction points, drop-off behaviors, and opportunities to improve conversion from lead to funded loan.
Write high-performance BigQuery SQL and design Tableau dashboards for real-time KPI tracking, including CAC, approval rates, and origination volume.
Partner with Product and Marketing to design, execute, and analyze A/B tests.
Translate complex user behaviors into repeatable, automated insights that drive measurable growth and product-market fit.
Partner with Marketing, Product Management, and Engineering to optimize the borrower journey.

Requirements

What you’ll need

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; expertise with complex joins and window functions.
Proven ability to design and maintain structured datasets, including star schemas and dbt models.
Expertise with Tableau dashboards, cohort performance, attribution models, and funnel velocity.
Strong grasp of survival analysis, causal inference, and significance testing.
Understanding of the lending lifecycle from acquisition through underwriting to funding, and product impacts on portfolio quality.
Clear, confident ability to translate complex data trends into actionable stories for technical teams and executive leadership.
Generalist mindset and ability to work in a fast-moving, ambiguous environment.
Adhere to company security policies and data handling procedures.
Complete mandatory security awareness training within required timeframes.
Promptly report suspected security incidents or suspicious activity to the Security team.
Must be authorized to work in the United States; Figure will not sponsor work visas.

Benefits

Comp & perks

25% annual bonus target, paid quarterly
Company equity in the form of RSUs
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