FP&A Data Analyst

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.Management accounts: Support daily and monthly management accounts on both accrual and cash basis. 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 requirements: Map data sources across our product and payments stack, and document business logic and assumptions so others can trust and reuse your work.Onboard new business: When we launch a new product, partner or market, make sure it flows correctly into financial reporting, controls and processes.Dashboards and reporting: Build and improve dashboards with Finance and Controllership that track key metrics and surface business drivers.Anomalies and controls: Spot breaks, unusual spikes or data quality issues early, find the root cause, and fix it at the source.Data literacy: Help the wider team understand and self-serve finance data.What you'll need3+ years in a data, analytics or FP&A role, ideally in fintech, banking or paymentsStrong SQL and solid PythonHands-on experience with dbt (or a similar transformation tool) and version control (Git)A good grasp of financial statements, management accounts and core finance concepts (accruals, revenue recognition, unit economics)A quantitative background, through education or experienceStrong attention to detail and a quality-first mindset, while still able to work to tight deadlinesClear communication: you can explain a variance to a CFO and a data model to an engineerInitiative to automate repetitive work and improve how things are doneNice to haveExperience with regulatory or external reportingExposure to reconciliations, treasury or general ledger dataExperience with BI tools (Metabase, Looker, Power BI) and orchestration tools (Airflow or similar)Experience maintaining production code: code review, testing, CI/CDSpanish or Portuguese proficiencyBenefitsCompetitive salarySign-on stock options bonus, so you share in the company's successDiscretionary performance bonus (stock options)Paid annual leaveReal ownership of work that directly affects how the business is runThe latest technology to work withA strong team that will help you grow your skillsFind more English Speaking Jobs in United Kingdom on Arbeitnow