Optimization Data Analyst

Role Overview

The role involves driving scalable optimizations and advanced analytics across Adyen’s global Performance Optimization team. The candidate will lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver actionable insights.

What You Will Do

The candidate will analyze large-scale payment datasets to identify performance trends, uncover optimization opportunities, and deliver high-impact recommendations to customers. They will also design and build scalable analytics solutions, automation pipelines, and self-service tools.

Why It Might Be a Fit

The role is ideal for an experienced analyst looking to deepen technical impact while influencing product and business outcomes at scale. The candidate will have opportunities to drive continuous platform improvements, lead complex A/B testing and data investigations, and shape data-driven strategies.

Requirements

• 3–5 years of relevant experience in a data analytics, data science, or similar role
• Strong proficiency in Python, SQL, and PySpark
• Ability to design and develop efficient and scalable ETL and data pipelines
• 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
• Proactive, self-directed, and able to manage multiple priorities in a dynamic, global environment

Benefits

• Annual base salary range of $132,000 – $178,000
• RSUs
• Dental insurance
• Vision insurance
• Health insurance
• 401(k) or equivalent retirement plan
• Paid time off
• Paid holidays
• Flexible work arrangements

Tagged as: Data Analysis