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Pave Bank

Data Analyst

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Description

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.

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

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

Skills

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See also

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