# Finance Data Lead

**Company:** [Parafin](https://hotfix.jobs/companies/parafin)
**Location:** San Francisco, CA
**Role:** Data Analytics
**Salary:** $210k – $250k/yr
**Experience:** 4+ years
**Skills:** SQL, Excel, Google Sheets, Python, AI Tools, Looker, Tableau, dbt, Airflow, R
**Posted:** 2026-03-30

> Leads financial data workflows, transforming raw data into actionable insights via SQL, Python, and BI tools. Builds models, dashboards, and reports for executives while partnering with engineering teams. Requires 4-7 years experience, expert Excel/SQL, and finance fluency.

## Job Description

## What You’ll Be Doing
- Own financial data workflows end-to-end — from sourcing and transforming raw data (**SQL**, **Python**, etc.) to building clean, auditable outputs in **Excel** or BI tools
- Build and maintain financial models and dashboards that track key metrics such as origination volumes, revenue run rates, and portfolio performance
- Respond to ad hoc data requests from Finance, Product, and GTM — quickly, accurately, and with clear documentation
- Leverage **AI tools** (e.g., **Claude**, **ChatGPT**, **Copilot**) to accelerate analysis, automate repetitive tasks, and surface insights faster
- Partner with Engineering and Data teams to ensure financial data is correctly structured, accessible, and well-governed
- Maintain data integrity standards — building in checks, reconciliation logic, and clear audit trails across all financial outputs
- Support external reporting needs, including materials for investors, lenders, and board-level stakeholders

## What We’re Searching For
**Must-Haves**
- 4–7 years of experience in a data-heavy role (data analyst, analytics engineer, financial analyst with strong technical depth, etc.)
- Expert-level **Excel**/**Google Sheets** skills (complex models, dynamic arrays, pivot tables)
- Strong **SQL** skills — you can write and optimize queries against large datasets independently
- Hands-on experience with modern **AI tools** and a genuine curiosity about how to apply them to financial workflows
- Baseline fluency in corporate finance concepts such as **EBITDA**, working capital, and structured finance
- High degree of trust and discretion — you'll have access to sensitive financial data and are expected to handle it responsibly
- Strong verbal communication skills — you can translate complex datasets into clear, concise narratives

**Nice-to-Haves**
- Experience in fintech, lending, or structured finance (familiarity with loan tapes, origination data, or SPV structures is a plus)
- Proficiency in **Python** or **R** for data manipulation and automation
- Experience with a **BI tool** (**Looker**, **Tableau**, **Mode**, etc.)
- Exposure to **DBT**, **Airflow**, or similar data pipeline tooling

## What We Offer
**Salary Range**: $210k–$250k
- Equity grant
- Medical, dental, and vision insurance
- Unlimited PTO
- Work-from-home flexibility
- Commuter benefits
- Free lunches
- Paid parental leave
- 401(k)
- Employee assistance program

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