Optimization Data Analyst: Scale Impact with Automation

EngineersOfAI; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Adyen is seeking an Optimization Data Analyst to drive scalable analytics and advanced optimization across our Performance Optimization team in Singapore. You will lead complex analyses, support automation projects, and collaborate with product and commercial stakeholders to deliver actionable insights maximizing merchant growth.

This mid-level role focuses on data-driven strategies, experimentation, and cross-functional impact in a global fintech environment.

Qualifications

• 3–5 years of experience in data analytics or data science, fintech, payments, or high-growth tech.
• Strong Python/SQL skills with PySpark and large-scale data processing experience.
• Experience designing scalable ETL pipelines and data validations for reliability.
• Proficient in data visualization tools and building dashboards for varied audiences.
• Excellent communication and ability to translate data insights into business value.

Responsibilities

• Data-Driven Optimization: analyze large datasets to identify performance trends and optimization opportunities.
• Scalable Tooling & Automation: build analytics solutions and self-service tools for internal teams.
• Cross-Functional Collaboration: partner with Product, Data, and Commercial teams.
• Advanced Problem-Solving & Experimentation: lead A/B tests and data investigations.
• Strategic Data Storytelling: synthesize data into narratives for technical and non-technical audiences.
• Mentorship & Best Practices: share knowledge to elevate analytical standards.

Skills

Python

SQL

PySpark

ETL pipelines

Data visualization

Looker/Tableau

Spark

Airflow

Git

Statistics

Data storytelling

Tools

Looker

Tableau

Git

Job description

Adyen is seeking an Optimization Data Analyst to drive scalable analytics and advanced optimization across our Performance Optimization team in Singapore. You will lead complex analyses, support automation projects, and collaborate with product and commercial stakeholders to deliver actionable insights maximizing merchant growth.

This mid-level role focuses on data-driven strategies, experimentation, and cross-functional impact in a global fintech environment.