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
Data-Driven Optimization: Analyze large-scale payment datasets to identify performance trends, uncover optimization opportunities, and deliver high-impact recommendations to our biggest customers, while identifying and driving scalable opportunities that benefit the broader merchant base.
Scalable Tooling & Automation: Design and build scalable analytics solutions, automation pipelines, and self-service tools that empower internal teams and stakeholders.
Cross-Functional Collaboration: Partner with Product, Data, and Commercial teams to translate business challenges into analytical solutions, driving continuous platform improvements.
Advanced Problem-Solving & Experimentation: Lead complex A/B testing and data investigations, shaping data-driven strategies and validating hypotheses with analytical rigor.
Strategic Data Storytelling: Drive strategic discussions by synthesizing complex data into compelling narratives, tailoring insights for technical and non-technical audiences, and positioning the Performance Optimization team as a key business enabler.
Mentorship & Best Practices: Support knowledge-sharing within the Performance Optimization team, contributing to the elevation of analytical standards and technical excellence.
What they're looking for
- –5 years of relevant experience in a data analytics, data science, or similar: role, ideally in fintech, payments, or a high-growth tech environment.
- Strong proficiency in Python, SQL, and PySpark, with hands-on experience in large-scale data processing.
- Ability to design and develop efficient and scalable ETL and data pipelines: for datasets, including the use of data validations to ensure reliability.
- Familiarity with big data tools (Spark, Airflow) and version control using Git.
- Solid experience with data visualization tools (e.g., Looker, Tableau) and dashboard development.
- Deep understanding of statistics, hypothesis testing, and data mining.
- Strong cross-functional collaboration and stakeholder management skills, with: the ability to influence product and business outcomes.
- Proactive, self-directed, and able to manage multiple priorities in a dynamic, global environment.
