Senior Data Analyst, Product & UX Analytics

Adyen; United States; On-site; USD 169,000 - 232,000; Full time

Benefits offered by this job

RSUs

Job summary

Adyen in the United States seeks a Senior Data Analyst for Customer Interfaces to translate cross-functional data into tangible business improvements across merchant-facing interfaces. You will own metrics, support design system analytics, and lead experiments to validate hypotheses.

The role emphasizes localization optimization, collaboration with product and engineering, and delivering scalable data-driven insights that inform decisions for global customers.

Qualifications

• 7+ years of experience in product analytics, UX analytics, or web/mobile interface data roles.
• Proven ability to design and analyze large-scale experiments and A/B tests.
• Strong SQL and Python skills with data engineering familiarity (Airflow).
• Experience with PySpark/Pandas in Big Data environments (Hadoop/Jupyter).
• Ability to translate insights for technical and non-technical audiences.

Responsibilities

• Own the Interface Metrics Strategy: Design, deploy, and maintain metrics linking interface performance to merchant success.
• Design System Analytics: Measure adoption, usability, and UI performance of design system components.
• Drive Localization Optimization: Analyze localized products to ensure native, conversion-optimized experiences.
• Execute Rigorous A/B Testing: Design large-scale experiments and govern UX event analytics tools.
• Strategic product partner: Advise product, design, and engineering with impact-driven recommendations.

Skills

Experimentation & statistics

Data-driven storytelling

English communication

Strategic thinking

Cross-functional collaboration

Tools

SQL

Python

Airflow

PySpark

Pandas

Mixpanel

Job description

Adyen in the United States seeks a Senior Data Analyst for Customer Interfaces to translate cross-functional data into tangible business improvements across merchant-facing interfaces. You will own metrics, support design system analytics, and lead experiments to validate hypotheses.

The role emphasizes localization optimization, collaboration with product and engineering, and delivering scalable data-driven insights that inform decisions for global customers.