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Adyen is seeking an experienced Optimization Data Analyst to drive scalable optimizations and advanced analytics across its global Performance Optimization team. In this mid-level role, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver actionable insights that maximize merchant growth.
Key responsibilities include analyzing large-scale payment datasets to identify performance trends and optimization opportunities, designing and building scalable analytics solutions and automation pipelines, partnering with Product, Data, and Commercial teams to translate business challenges into analytical solutions, and leading complex A/B testing and data investigations. You will synthesize complex data into compelling narratives for both technical and non-technical audiences, positioning the Performance Optimization team as a key business enabler. Additionally, you will support knowledge-sharing within the team and contribute to elevating analytical standards.
You bring 3–5 years of relevant experience in data analytics, data science, or similar roles, ideally in fintech, payments, or high-growth tech environments. You have strong proficiency in Python, SQL, and PySpark with hands-on experience in large-scale data processing. You can design and develop efficient, scalable ETL and data pipelines with data validations, and you are familiar with big data tools like Spark and Airflow, as well as version control using Git. You have solid experience with data visualization tools such as Looker or Tableau, and a deep understanding of statistics, hypothesis testing, and data mining. Strong cross-functional collaboration and stakeholder management skills are essential, along with excellent communication and storytelling abilities to translate data insights into business value.
