PaveBank Data Analyst within the Commercial team responsible for analyzing client and transaction data to drive decisions and build dashboards, models, and internal tools. The role emphasizes AI-assisted workflows and automation.
Responsibilities
Pave Bank is a digital bank built for businesses that operate globally, with a client base concentrated in digital asset trading venues, payment providers, stablecoin issuers and fintechs. Our Commercial team owns the client relationship from first conversation through to ongoing revenue growth.
We are looking for a Data Analyst who will sit inside the Commercial team and turn client, transaction and pipeline data into decisions. This is not a reporting role where you wait for requests and return a spreadsheet. You will build the dashboards, the models and the internal tools that the Commercial team uses every day, and you will ship them yourself.
We expect you to work with AI as a default part of how you build. If you currently do everything by hand and see AI tooling as optional, this role will not suit you.
Commercial analytics
Analyse client revenue, transaction volumes, payment corridors and product usage to show where growth is actually coming from
Build and maintain client profitability and unit economics models, including fee income, correspondent costs and FX spreads
Track pipeline health, conversion rates, time to onboard and time to first transaction, and explain the movements behind the numbers
Identify at risk clients through changes in activity patterns, and identify cross sell and upsell opportunities across the book
Support pricing decisions with evidence, including scenario modelling for fee changes and volume tiers
Prepare data for board, investor and management reporting, and be able to defend every number in it
Dashboards and reporting
Design and own the the Commercial team's dashboard layer, covering revenue, pipeline, client activity and product adoption
Qualification
Understanding of payments mechanicsExperience with dbtSmall teamAI first by defaultDirect access to decision makers
Preferred
Understanding of payments mechanics, including SWIFT, SEPA, correspondent banking, card scheme settlement or stablecoin flows
Experience with dbt, Airflow or similar transformation and orchestration tooling
Familiarity with CRM data models and pipeline analytics
Front end skills sufficient to build a usable interface, for example React or Streamlit
Exposure to digital assets or a regulated banking environment
Small team, wide scope. You will own your work end to end rather than hand specifications to someone else
AI first by default. We expect meaningful output volume from a small headcount, and AI tooling is how we get there
Direct access to decision makers. Good analysis changes what we do, quickly
