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: Assist in the development and optimization of Revenue Operations data pipelines using SQL, Python, and big-data tools. Contribute to ETL improvements to ensure data consistency and reliability.
Reporting and dashboards: Build and maintain LookML models and Looker dashboards to deliver accurate, timely insights to commercial stakeholders
Data quality and governance: Play an active role in data governance initiatives by cleaning, transforming, and documenting datasets, ensuring accuracy and reliability.
Automation : Contribute to the automation of recurring reporting processes: (e.g., Quarterly Business Reviews, pipeline reporting)
Developing insights: Analyze datasets and translate findings into actionable insights for the commercial teams.
years of experience in Data Analytics with proven expertise in the field.
What they're looking for
- Proficiency in Python and SQL for data analysis and processing.
- Good communication and collaboration skills, with the ability to work: effectively within a global, multicultural team.
- Data Wrangling expertise: skilled in cleaning, transforming, and organizing large datasets, handling missing data, detecting outliers, and ensuring data integrity.
- Good analytical skills: adept at extracting meaningful insights from complex datasets and translating them into actionable recommendations.
