The opportunity
Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.
What you'll do
Support technical contributions: Support cross-functional data needs by collaborating with stakeholders across Commercial, Finance and Engineering teams.
Data quality and governance: Play an active role in data governance initiatives by cleaning, transforming, and documenting datasets, escalating data inconsistencies and ensuring accuracy and reliability.
Automation : Leverage AI to automate manual and repetitive processes.
Developing insights: Analyze datasets and translate findings into actionable insights for the commercial teams.
Scalability: Develop and design scalable, reliable, and sustainable data products that can be re-purposed for different use cases.
+ years of experience in data analysis, data wrangling, or related analytical roles.
What they're looking for
- Proficiency in SQL and Python (Pyspark beneficial but not needed) for data analysis and processing.
- Good analytical skills: adept at extracting meaningful insights from complex datasets and translating 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.
