Adyen

data analyst for commercial decision-making

In short

This is a junior data analyst role at Adyen, a fintech payments and financial products platform serving clients like Meta, Uber, H&M, and Microsoft. The role supports Commercial, Finance, and Engineering teams by cleaning, analyzing, and documenting datasets and building reusable data products. It requires 1–3+ years of data analysis experience, proficiency in SQL and Python, and fluency with AI tools for automating repetitive tasks. The position is office-based in Amsterdam, with remote work not offered.

About Adyen
Adyen provides payments, data, and financial products in a single solution for customers such as Meta, Uber, H&M, and Microsoft. It is a financial technology platform designed to help businesses achieve their ambitions faster.
Responsibilities
•Support cross-functional data needs by collaborating with stakeholders across Commercial, Finance, and Engineering teams
•Clean, transform, and document datasets, escalate data inconsistencies, and ensure data accuracy and reliability as part of data governance initiatives
•Leverage AI to automate manual and repetitive processes
•Analyze datasets and translate findings into actionable insights for commercial teams
•Develop and design scalable, reliable, and sustainable data products that can be reused for different use cases
Requirements
•1–3+ years of experience in data analysis, data wrangling, or related analytical roles
•Proficiency in SQL and Python for data analysis and processing
•Strong analytical skills and ability to extract meaningful insights from complex datasets and translate them into actionable recommendations
•Basic understanding of data validation, reconciliation, and data quality practices
•Strong attention to detail, particularly in data accuracy and control-oriented environments
•Good communication and collaboration skills, with the ability to work effectively in a global, multicultural team
•Fluency with AI tools for automating repetitive tasks, including first-draft code, boilerplate documentation, and exploratory queries
•Proactive, curious, analytical, comfortable with ambiguity, and eager to shape your own path
Nice to have
•Familiarity with analytical and statistical techniques such as distributions, correlations, hypothesis testing, and regression analysis, and with validation frameworks
Conditions
•Office-based role in Amsterdam; remote-only roles are not offered

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