Compliance Data Analyst

Requirements

• Technical: Proficient in SQL, Python, and PySpark, specifically within Big Data using Spark, Airflow, and Git
• Strategic: Able to collaborate with non-technical teams and translate business requirements into technical plans
• Detail-oriented: Able to pinpoint inaccuracies and analyze behavior within large datasets with a company-wide impact
• Automation-First: Identify and prioritize automation opportunities, balancing efficiency gains with an understanding of day-to-day operational realities
• You have a background in Compliance, Finance, Risk, or similar industries and teams and understand the importance and inner working of working within a highly regulated banking environment

What You'll Be Doing

• Automate Compliance: Replace manual, sample-based processes with scalable solutions that cover our entire global portfolio
• Bridge the Gap: Translate complex regulatory requirements into clear data points and prioritized roadmap items
• Build data literacy: Drive adoption of data skills to elevate data fluency, enable self-service analysis, and foster data-driven decision making
• Monitor Risk: Design and maintain frameworks to proactively detect compliance gaps across Adyen’s global platform
• Own Data Integrity: Partner with Engineering to refine data structures, ensuring our compliance assets are accurate, accessible, and audit-ready
• Drive Strategy: Define and support cross-functional initiatives that transition our compliance approach from reactive to data-driven

Nice to Haves

• None provided

Perks and Benefits

• None provided