Data Analyst – Care.fi

Opportunity Overview

Healthcare Fintech & Risk Analytics Workflow

The Data Analyst at Care.fi operates at the intersection of credit risk, hospital supply chain financing, and operational underwriting to evaluate portfolio health and build scalable financial models:

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│ 1. Multi-Source Ingestion & Cleansing     │ ➔ Extract & clean loan performance, hospital invoice, and receivables data
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│ 2. Statistical Modeling & Hypothesis Testing│ ➔ Build data structures & statistical models to evaluate credit risk and default patterns
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│ 3. BI Dashboarding & Risk Scorecards      │ ➔ Develop Power BI/Tableau dashboards tracking portfolio health, NPLs, and cash flows
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│ 4. Cross-Functional Risk & Product Support│ ➔ Partner with Risk, Product & Ops teams to refine underwriting models and process flows
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Key Responsibilities

• Fintech Portfolio Analytics: Collect, clean, and model datasets covering invoice discounting, hospital supply chain loans, receivables financing, and early salary products.

• Risk & Performance Modeling: Develop scalable data models and apply statistical methods to validate underwriting hypotheses, project default risks, and forecast portfolio performance.

• Executive Dashboard Architecture: Build and maintain real-time reporting views (Power BI, Tableau, or Looker) across product, risk, and executive management functions.

• Data Hygiene & Integrity: Enforce rigorous data quality and validation controls across core financial databases and operational loan origination software.

• Cross-Functional Strategy: Translate technical analytical findings into actionable product, risk mitigation, and operational process recommendations for startup leadership.

Qualification Matrix & Technical Skill Stack

Core Requirements

Key Focus Areas for Interview Preparation

1. Fintech Credit & Loan Portfolio Metrics: Review key credit analytics terms including PAR (Portfolio at Risk), NPA/NPL, DPD (Days Past Due), IRR, and Yield Analysis.

2. Applied SQL & Python Financial Modeling: Practice writing SQL scripts for calculating cohort default rates, invoice repayment cycles, and customer acquisition costs.

3. Startup Product & Risk Framing: Be ready to answer case scenarios on how to analyze hospital billing data to set invoice discounting limits and underwrite supplier risk.