Junior Data Analyst Finance and Commercial

Adyen is a Dutch financial technology company providing global payment acceptance.

57 current maintainers51 active leads10 new active leads8 lead step-downsTeam intelligence

Maintainer signals as of 9/25/2026

Amsterdam, Netherlands
About Adyen

Adyen N.V. operates a unified financial technology platform for businesses. Its services cover online, in-person, and in-app payments; acquiring; payment methods; risk and authentication; platforms and marketplaces; payouts; card issuing; business accounts; capital; and liquidity management.

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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 support Commercial, Finance, and Engineering data needs. You will clean, transform, validate, reconcile, and document datasets while escalating inconsistencies. You will analyze data, create actionable commercial insights, use AI to automate repetitive work, and develop scalable, reliable data products, dashboards, and pipelines.

Requirements

  • 1-3+ years of experience in data analysis, data wrangling, or a related analytical role
  • Proficiency in SQL and Python
  • Understanding of data validation, reconciliation, and data-quality practices
  • Ability to derive insights from complex datasets and make actionable recommendations
  • Experience using AI tools for first-draft code, documentation, and exploratory queries
  • Communication and collaboration skills
  • Familiarity with PySpark is beneficial
  • Familiarity with statistical and analytical techniques and validation frameworks is beneficial

Responsibilities

  • Collaborate with Commercial, Finance, and Engineering stakeholders on data needs
  • Clean, transform, and document datasets
  • Validate data, reconcile datasets, and escalate inconsistencies
  • Analyze datasets and translate findings into actionable commercial insights
  • Use AI to automate manual and repetitive processes
  • Develop scalable, reliable, and sustainable data products