Experienced Data Analyst
Rapyd helps businesses accept payments and send payouts globally by providing fintech infrastructure that integrates multiple payment methods and currencies.
Funding
Investors
About Rapyd
Rapyd helps businesses accept payments and send payouts across countries by providing fintech-as-a-service infrastructure through APIs. Users can process payments in multiple currencies, manage multi-currency accounts, and disburse funds internationally. The platform integrates card acquiring, alternative payment methods, and compliance tools into a single solution for cross-border commerce.
Skills
About the Role
You will design, develop, and maintain Python applications, services, and automations that streamline Finance and Billing processes. You will manage relational databases and warehouse models, write SQL for reporting and reconciliations, and build dashboards in Tableau or Looker. You will collaborate through requirements, deployment, and production support; identify automation opportunities; and maintain technical documentation.
Requirements
- 1–2 years of experience developing applications or automations with Python.
- Working knowledge of SQL and relational databases such as PostgreSQL or MySQL.
- Familiarity with Git, software development best practices, documentation, and code versioning.
- Strong analytical and problem-solving skills.
- Fluent written and verbal English.
Responsibilities
- Design, develop, and maintain Python applications, services, and automations for Finance and Billing processes.
- Design, manage, and optimize relational databases and data warehouse models.
- Write SQL queries for financial reporting, reconciliations, audits, and operational analysis.
- Develop and maintain executive dashboards, data models, and self-service analytics in Tableau or Looker.
- Collaborate with Finance and Technology teams throughout the software development lifecycle.
- Identify opportunities to automate manual processes and strengthen financial controls through technology.
- Produce and maintain technical documentation, including data models, integration specifications, process flows, and operational runbooks.