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Data Analyst

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Rapyd

Rapyd helps businesses accept payments and send payouts globally by providing fintech infrastructure that integrates multiple payment methods and currencies.

Series F+0 current maintainers0 active leadsTeam intelligence

Maintainer signals as of 8/12/2026

London, United Kingdom

Funding history

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.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will lead complex data analyses, translate ambiguous business questions into analytical frameworks, build dashboards, reports, and data models, identify trends, risks, and opportunities, present insights and recommendations to senior stakeholders, and uphold analytical standards.

Requirements

  • 3+ years of experience as an analyst in a high-tech environment
  • SQL and Python as core working languages
  • Hands-on experience with business intelligence and data visualization tools
  • Looker experience is a plus
  • Strong analytical thinking and ability to turn data into actionable insights
  • Ability to manage multiple priorities in a fast-paced setting
  • Strong storytelling skills and ownership
  • Excellent communication skills and fluent English

Responsibilities

  • Lead complex data analyses to drive strategic business decisions
  • Translate ambiguous business questions into clear analytical frameworks
  • Build and maintain scalable dashboards, reports, and data models
  • Identify trends, risks, and opportunities from large, complex datasets
  • Present insights and recommendations clearly to senior stakeholders
  • Define and uphold analytical standards across the team