Financial Data Analyst

About the company

Turning marketing into a market-domination weapon, we created a new category - the marketplace for future customers. Businesses shop for leads as they shop for products in e-commerce: you see everything about a lead before you buy - full transparency, control, and predictable outcomes. We're the #1 lead marketplace in the USA, and we're accelerating.

Role overview

We are looking for a Senior Financial Data Analyst / FP&A Business Partner who will help us understand where the business makes money, where profit is lost, and which decisions can improve margins, cash flow, and overall performance. You will work closely with founders, finance, product, operations, and business teams to turn financial and operational data into clear recommendations. This role exists to help leadership make faster, better decisions based on real business numbers.

What You'll Be Doing:

Build and improve executive dashboards that show revenue, profit, margins, COGS, OpEx, refunds, payouts, cash flow, and key business metrics

Analyze profitability across products, customers, providers, geographies, channels, lead sources, and operational workflows

Create P&L analysis, gross margin analysis, contribution margin analysis, unit economics models, forecasts, and scenario analysis

Identify cost leaks, overspending, inefficient vendors, payment issues, margin risks, and other areas where the business can improve profit

Partner with finance, accounting, product, operations, sales, and marketing teams to connect business activity with financial outcomes

Reconcile business data with invoices, payouts, payment systems, taxes, accounting records, and financial reports

Present clear recommendations to founders and senior leadership on pricing, cost optimization, product profitability, hiring, and growth decisions

What Makes You a Strong Fit:

6-8+ years of experience in financial analytics, FP&A, data analytics, business analytics, or a similar role

Strong experience with financial modeling, P&L analysis, unit economics, budgeting, forecasting, and variance analysis

Expert-level SQL and strong hands-on experience with BigQuery

Strong experience with Looker, Power BI, Tableau, or similar BI tools

Advanced Excel or Google Sheets skills for financial modeling, reporting, and scenario analysis

Good understanding of accounting basics, financial statements, revenue, COGS, OpEx, gross margin, contribution margin, and cash flow

Clear communication in English, both spoken and written, with the ability to explain financial insights to founders, business teams, and non-finance stakeholders