FP&A Data Analyst

DataAnalystJobs; Greater London; On-site; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Stock options

Discretionary bonus

Office in London

Latest tools

Career growth

Job summary

ARQ is seeking an FP&A Data Analyst to own the finance data layer, build and refactor models in dbt, write tests, and ensure finance data is clean, documented and reliable for leadership reporting.

You will work between Finance and Engineering, using SQL and Python, supporting budgeting, forecasting, dashboards and reconciliations while keeping data quality high and enabling self-serve analytics across teams.

Qualifications

• 3+ years in data, analytics or FP&A in fintech, banking or payments.
• Strong SQL and Python skills with hands-on dbt experience.
• Experience with version control (Git) and data modelling.
• Good grasp of financial statements, accruals and revenue concepts.
• Quantitative background with attention to detail and deadlines.
• Clear communication to explain variances to finance and engineers.
• Initiative to automate repetitive work and improve processes.

Responsibilities

• Own the finance data layer: maintain and extend the dbt repo, build/refactor models, write tests, and document data.
• Develop revenue/cost models and support management accounts reconciliation.
• Contribute to budgeting/forecasting, variance analysis and performance drivers.
• Maintain Python services/pipelines supporting finance reporting and reconciliation.
• Map data sources across product/payments, document logic for reuse.
• Onboard new products/markets and ensure proper financial reporting flows.
• Build and improve dashboards with Finance and Controllership to surface KPIs.
• Spot data anomalies, diagnose root causes and fix at the source.
• Promote data literacy and self-service analytics across teams.

Skills

SQL

Python

dbt

Git

Finance concepts

Dashboarding

Attention to detail

Education

Bachelor's in Finance/Quantitative field

Tools

dbt

Looker

Metabase

Power BI

Airflow

Job description

What we're looking for

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.

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 and benefits

• Stock options, so you own part of what you build

• Discretionary performance bonus

• The latest tools and technology

• A world-class team that will challenge and grow your skills

• The opportunity to help build the best fintech app in Latin America

• Office Policy: 3-4 days a week in-office