Data Analyst
Pave Bank provides businesses with multi-asset banking services across multiple currencies, offering 24/7 access to global financial operations through a regulated commercial platform.
Funding history
About Pave Bank
Pave Bank offers businesses access to multi-asset and multi-currency banking services operating 24/7. The platform enables users to manage different types of digital and traditional assets through operational accounts, multi-asset accounts, and programmable banking features. As a regulated commercial bank licensed by the National Bank of Georgia, it combines technology-driven product design with banking regulatory standards.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will analyze commercial, client, transaction, and pipeline data to guide growth and pricing decisions. You will build dashboards, models, internal tools, and AI-assisted workflows; deploy tools on Google Cloud; automate commercial processes; define reliable metrics; and present analysis to stakeholders and clients.
Requirements
- Minimum 3 years in an analytical role
- Strong SQL for complex queries against large transaction datasets
- Python for analysis and application development
- Experience deploying and hosting applications on Google Cloud
- Experience building dashboards in a modern BI tool
- Daily practical use of AI coding tools
- Advanced spreadsheet modeling and Google Sheets automation
- Fluent professional English
Responsibilities
- Analyze client revenue, transaction volumes, payment corridors, and product usage
- Build and maintain profitability and unit economics models
- Track pipeline health, conversion rates, onboarding time, and first-transaction time
- Identify at-risk clients and cross-sell and upsell opportunities
- Support pricing decisions with scenario modeling
- Prepare data for board, investor, and management reporting
- Design and maintain commercial dashboards
- Define and document consistent metrics
- Build and deploy internal tools on Google Cloud
- Automate recurring commercial workflows
- Use AI coding tools and build AI-assisted commercial workflows
- Review AI output requiring human verification