Data Analyst, Finance

For the past 12 years, Scale Media has been building and scaling science-backed wellness brands. Our portfolio of brands, including Live Conscious, 1MD, and Essential Elements, has grown to 9 figures in revenue while operating profitably with no external funding.

Our team is made up of operators, marketers, and builders focused on products consumers actually trust. We're investing heavily in data and AI to sharpen how we develop products and scale brands.

We believe the best decisions come from data, curiosity, and continuous learning. We value high ownership, candid feedback, and thoughtful execution. As a fully remote company, we lead with clear communication, accountability, and trust, and we give people real room to grow and make an impact.

Scale Media has been recognized as one of Forbes' Best Startup Employers, a Great Place to Work, an Inc. Best Workplace, and an Inc. 5000 company.

If you take ownership, think for yourself, and like solving hard problems alongside people who do the same, you'll fit right in.

We are looking for a mid-level Data Analyst who is far more than a report builder. You are a "Data Detective" who understands the heartbeat of an e-commerce P&L.

You will not just analyze data; you will own the truth behind our revenue numbers and help Finance see what's coming next. We need a Financial Data Master who understands payment processors, core financial concepts, and forecasting, and who knows how raw transaction data becomes a P&L the business can trust.

Additionally, you will act as a critical partner to our Finance team, bridging the gap between raw data, payment processors, our financial reporting, and the forecast.

• Financial Forecasts:
  Build and maintain forecasts for revenue, orders, subscription renewals, and expenses by brand and channel, and keep them current as actuals come in.
• Forecast vs. Actual:
  Track how forecasts compare to actuals, explain the gaps, and flag meaningful misses to the Finance team.
• Budget Support:
  Update the scenarios and assumptions Finance uses for budget planning.

• P&L Reporting:
  Build and maintain reporting on revenue, gross vs. net sales, discounts, refunds, COGS, and contribution margin by brand, channel, and product.
• Unit Economics:
  Report on contribution margin, payback, and profitability by brand, channel, and product.
• Month-End Close:
  Support month-end close with timely, tied-out data.
• Budget vs. Actual:
  Produce variance reporting that explains what moved and why.

• Reconciliation Investigations:
  Act as the lead investigator for revenue discrepancies. You will reconcile data between payment processors (Stripe, Shopify Payments, Amazon), bank deposits, our internal database, and accounting (Quick Books) to ensure every dollar is accounted for.
• Spend Reconciliation:
  Reconcile marketing spend across ad platforms and invoices against finance records.
• Root Cause Fixes:
  Work with Finance and our Data Engineer to fix discrepancies at the source.
• Metric Definitions:
  Document the business logic behind financial metrics so every team uses the same definitions.

• Data Preparation:
  While we have a Data Engineer managing the infrastructure, you will handle the "last mile" of data prep using KNIME or dbt (or similar tools like Alteryx or Python/Pandas).
• Business Logic Application:
  Write efficient SQL to transform raw transaction data in Snowflake into usable datasets that reflect our financial business rules.
• Dashboarding:
  Design, build, and maintain high-impact dashboards in Sigma for Finance and leadership.

• Experience…