Finance Data Lead San Francisco, CA

Parafin, Inc.

San Francisco (CA)

On-site

USD 210,000 - 250,000

Full time

14 days+

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Benefits offered by this job

Equity grant
Medical, dental, and vision insurance
Unlimited PTO
Work-from-home flexibility
Free lunches
Paid parental leave
401(k)
Employee assistance program

Job summary

Parafin, Inc. is seeking a Finance Data Lead to join our Finance team. The role sits at the intersection of finance and data engineering, translating raw financial data into clean, trusted outputs and scalable reporting infrastructure.

You will own data workflows end-to-end, build models and dashboards that track origination volumes, revenue run rates, and portfolio performance, and respond to data requests with rigor and clear documentation.

Qualifications

  • 4–7 years in a data-heavy role (data analyst, analytics engineer, or similar).
  • Expert Excel/Google Sheets skills with advanced modeling and analysis.
  • Strong SQL skills and independent query optimization on large datasets.
  • Hands-on experience with modern AI tools applied to financial workflows.
  • Baseline fluency in corporate finance concepts like EBITDA and working capital.
  • Ability to translate data into clear narratives for leadership.

Responsibilities

  • Own financial data workflows end-to-end from data sourcing to auditable outputs.
  • Build and maintain financial models and dashboards tracking key metrics.
  • Respond quickly and accurately to ad hoc data requests from Finance, Product, and GTM.
  • Leverage AI tools to accelerate analysis and surface insights.
  • Collaborate with Engineering and Data teams to ensure data integrity and governance.
  • Support external reporting for investors, lenders, and board stakeholders.

Skills

SQL
Excel/Google Sheets
AI tools
EBITDA basics
Data storytelling
Communication

Tools

Looker
Tableau
Mode
DBT
Airflow
Python

Job description

At Parafin, we’re on a mission to grow small businesses.

Small businesses are the backbone of our economy, but traditional banks often don’t have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on.

We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners.

We’re a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more — all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities.

Join us in creating a future where every small business has the financial tools they need.

About the Position

We're looking for a Finance Data Lead to sit at the intersection of finance and data engineering on our Finance team. This role requires someone who thinks in queries, models data pipelines, and moves quickly with modern tooling, while also being comfortable discussing a P&L or loan portfolio with senior leadership.

You’ll be the go-to person for turning raw financial data into clean, trusted, and actionable outputs — owning everything from ad hoc analyses to scalable reporting infrastructure.

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

Why This Role

High-impact, high-visibility work — your outputs are presented in executive and investor materials

A seat at the table for data infrastructure decisions within the Finance team

Opportunity to define processes and tooling in a fast-moving environment

Collaborative team that values rigor, speed, and intellectual curiosity

What We Offer

Salary Range: $210k–$250k

Equity grant

Medical, dental, and vision insurance

Unlimited PTO

Work-from-home flexibility

Free lunches

Paid parental leave

401(k)

Employee assistance program

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.

U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION

Parafin provides equal employment and affirmative action opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.

We invite all applicants to voluntarily self-identify their race, ethnicity, and gender. Submission of the information on this form is strictly voluntary and refusal to provide it will not subject you to any adverse treatment. Information obtained will be retained in a confidential file and separate from personnel records. This information may only be used in accordance with the provision of applicable federal laws, executive orders, and regulations. If you want more information about any of the sections, please check with a company representative.

Male

Female

Decline to self-identify

  • Hispanic or Latino - A person of Cuban, Mexican, Puerto Rican, South or Central American, or other Spanish culture or origin regardless of race.
  • White (Not Hispanic or Latino) - A person having origins in any of the original peoples of Europe, the Middle East, or North Africa.
  • Black or African American (Not Hispanic or Latino) - A person having origins in any of the black racial groups of Africa.
  • Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) - A person having origins in any of the peoples of Hawaii, Guam, Samoa, or other Pacific Islands.
  • Asian (Not Hispanic or Latino) - A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian Subcontinent, including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam.
  • American Indian or Alaska Native (Not Hispanic or Latino) - A person having origins in any of the original peoples of North and South America (including Central America), and who maintain tribal affiliation or community attachment.
  • Two or More Races (Not Hispanic or Latino) - All persons who identify with more than one of the above five races.

Hispanic or Latino White (Not Hispanic or Latino) Black or African American (Not Hispanic or Latino) Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) Asian (Not Hispanic or Latino) American Indian or Alaska Native (Not Hispanic or Latino) Two or More Races (Not Hispanic or Latino) Decline to self-identify

SELF-IDENTIFICATION OF VETERAN STATUS (Completion is voluntary and will not subject you to adverse treatment)

If you believe that you belong to any of the following categories of protected veterans, please indicate by making the appropriate selection

Disabled veteran – A veteran who served on active duty in the U.S. military and is entitled to disability compensation (or who but for the receipt of military retired pay would be entitled to disability compensation) under laws administered by the Secretary of Veterans Affairs, or was discharged or released from active duty because of a service‑connected disability

Recently separated veteran – A veteran separated during the three‑year period beginning on the date of the veteran's discharge or release from active duty in U.S military, ground, naval, or air service

Active duty wartime or campaign badge veteran – A veteran who served on active duty in the U.S. military during a war, or in a campaign or expedition for which a campaign badge was authorized under the laws administered by the Department of Defense

Armed forces service medal veteran - Armed forces service medal veteran – A veteran who, while serving on active duty in the U.S military ground, naval, or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985 (61 Fed. Reg. 1209).

I identify as one or more of the classifications of protected veteran listed above

I am not a protected veteran

I decline to self-identify for protected veteran status

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