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FP&A Data Analyst
<h1><strong>What we're looking for</strong></h1><p style="min-height:1.5em">Do 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.</p><p style="min-height:1.5em">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.</p><p style="min-height:1.5em"></p><h2><strong>What you'll be doing</strong></h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em"><strong>Own the finance data layer:</strong> Maintain and extend our dbt repo. That means building and refactoring models, writing tests, and keeping finance data clean, documented and reliable.</p></li><li><p style="min-height:1.5em"><strong>Revenue and cost models:</strong> Build and maintain the models behind revenue, unit economics and operations costs (payment rails, FX, card, banking partners, vendors) across our markets.</p></li><li><p style="min-height:1.5em"><strong>Management accounts:</strong> Support daily and monthly management accounts on both accrual and cash basis. Reconcile them to source systems and explain movements.</p></li><li><p style="min-height:1.5em"><strong>Budgeting and forecasting:</strong> Feed actuals into the budget and forecast, run variance analysis, and help Finance understand what is driving performance.</p></li><li><p style="min-height:1.5em"><strong>Python services:</strong> Help maintain and improve the internal Python services and pipelines that support finance reporting and reconciliation.</p></li><li><p style="min-height:1.5em"><strong>Data mapping and requirements:</strong> Map data sources across our product and payments stack, and document business logic and assumptions so others can trust and reuse your work.</p></li><li><p style="min-height:1.5em"><strong>Onboard new business:</strong> When we launch a new product, partner or market, make sure it flows correctly into financial reporting, controls and processes.</p></li><li><p style="min-height:1.5em"><strong>Dashboards and reporting:</strong> Build and improve dashboards with Finance and Controllership that track key metrics and surface business drivers.</p></li><li><p style="min-height:1.5em"><strong>Anomalies and controls:</strong> Spot breaks, unusual spikes or data quality issues early, find the root cause, and fix it at the source.</p></li><li><p style="min-height:1.5em"><strong>Data literacy:</strong> Help the wider team understand and self-serve finance data.</p></li></ul><p style="min-height:1.5em"></p><h2><strong>What you'll need</strong></h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em">3+ years in a data, analytics or FP&A role, ideally in fintech, banking or payments</p></li><li><p style="min-height:1.5em">Strong SQL and solid Python</p></li><li><p style="min-height:1.5em">Hands-on experience