FP&A Data Analyst

Arq; Greater London; Presencial; GBP 50 000 - 70 000; Tempo integral

Resumo da oferta

Arq is seeking an FP&A Data Analyst to own the data foundations behind revenue, cost and management reporting. You will sit between Finance and Engineering, building models and turning data into insights used by leadership.

You will work hands-on with dbt and Python, shaping the data for management, investor and regulatory reporting and ensuring accuracy on an ongoing basis.

Qualificações

• 3+ years in data, analytics or FP&A role, ideally fintech/payments.
• Strong SQL and Python proficiency.
• Hands-on with dbt and version control (Git).
• Understanding of financial statements, management accounts and core finance concepts (accruals, revenue recognition, unit economics).
• Quantitative background through education or experience.
• Strong attention to detail and a quality-first mindset with tight deadlines.
• Clear communication: explain variance to CFO and data model to an engineer.
• Initiative to automate repetitive work and improve processes.

Responsabilidades

• Own the finance data layer: maintain and extend our dbt repo, write tests, keep data clean and reliable.
• Build revenue and cost models for revenue, unit economics and operations costs across markets.
• Support daily and monthly management accounts and reconcile to source systems.
• Feed actuals into budgeting/forecasting and analyze variances.
• Help maintain internal Python services and pipelines for finance reporting.
• Map data sources across product/payments stack and document business logic.

Conhecimentos

SQL

Python

dbt

Git

Financial statements knowledge

Analytical mindset

Data modeling

Ferramentas

dbt

Git

Looker

Power BI

Metabase

Airflow

Descrição da oferta de emprego

What we're looking forDo you like knowing exactly why a number moved? As an FP&A Data Analyst at the company, 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 doing

• Own 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 need

• 3+ years in a data, analytics or FP&A role, ideally in fintech, banking or payments
• Strong SQL and solid Python
• Hands-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 experience
• Strong attention to detail and a quality-first mindset, while still able to work to tight deadlines
• Clear communication: you can explain a variance to a CFO and a data model to an engineer
• Initiative to automate repetitive work and improve how things are done

Nice to have

• Experience with regulatory or external reporting
• Exposure to reconciliations, treasury or general ledger data
• Experience with BI tools (Metabase, Looker, Power BI) and orchestration tools (Airflow or similar)
• Experience maintaining production code: code review, testing, CI/CD
• Spanish or Portuguese proficiency

Benefits

• Competitive salary
• Sign-on stock options bonus, so you share in the company's success
• Discretionary performance bonus (stock options)
• Paid annual leave
• Real ownership of work that directly affects how the business is run
• The latest technology to work with
• A strong team that will help you grow your skills