What we're looking forDo you like knowing exactly why a number moved? As an FP&A Data Analyst at ARQ, you'll own the data foundations behind our revenue, cost and management reporting.
You'll sit between Finance and Engineering: building the models that tell us how the business is performing, keeping them accurate every day, and turning them into insight that leadership uses to make decisions.
This is a hands-on role for someone who is as comfortable in a dbt project or a Python codebase as in a P&L.
You'll work closely with Finance, Treasury and Engineering, and your work will feed management, investor and regulatory reporting directly.
What you'll be doingOwn the finance data layer: Maintain and extend our dbt repo.
That means building and refactoring models, writing tests, and keeping finance data clean, documented and reliable.
Revenue and cost models: Build and maintain the models behind revenue, unit economics and operations costs (payment rails, FX, card, banking partners, vendors) across our markets.
Reconcile them to source systems and explain movements.
Budgeting and forecasting: Feed actuals into the budget and forecast, run variance analysis, and help Finance understand what is driving performance.
Python services: Help maintain and improve the internal Python services and pipelines that support finance reporting and reconciliation.
Data mapping and.