FP&A Data Analyst
Summary
At ARQ (formerly DolarApp) in London, this FP&A Data Analyst owns the finance data layer: maintaining dbt models and Python reporting services, building revenue and cost models, supporting management accounts, reconciliations, and budgets, and building dashboards so colleagues can self-serve finance data.
You will own and improve the finance data layer, develop revenue and cost models, support management accounts, and reconcile reporting data. You will maintain Python reporting services, document data logic, build dashboards, investigate anomalies, and help colleagues self-serve finance data.
Responsibilities
- Maintain and extend dbt finance models and tests
- Build revenue, unit-economics, and operating-cost models
- Support daily and monthly management accounts and reconciliations
- Feed actuals into budgets and forecasts and perform variance analysis
- Maintain Python reporting and reconciliation services
- Map data sources and document business logic
- Integrate new products, partners, and markets into financial reporting
- Build finance dashboards and reporting
- Identify and resolve data-quality issues
- Improve finance-data literacy and self-service
Requirements
- 3+ years of experience in data, analytics, or FP&A
- SQL
- Python
- dbt or similar transformation tools
- Git
- Financial statements
- Management accounts
- Accrual accounting
- Revenue recognition
- Unit economics
- Quantitative analysis
- Communication
Benefits
- Stock options
- Discretionary performance bonus
- Paid annual leave


