Data Analyst - Risk

Requirements

• An experienced data professional with a proven track record of 5+ years in a (technical) data analyst, business intelligence, or similar role.
• Proficient in Python, SQL, PySpark, and BI tools (e.g. Looker). Experience with big data tools like Spark, Hadoop, Git, and Airflow is a strong advantage.
• You enjoy working in a high-paced, technology-driven environment where you may need to shift priorities.
• You work with intention, a strong sense of ownership, and a bias for action.
• You are comfortable talking straight and challenging the status quo, specifically with the ability to interact and collaborate with a variety of internal stakeholders from diverse disciplines and cultures.
• Self-motivated, proactive, and result-driven, always searching for scalable ways to streamline and add value to the business with attention to detail and high-quality results.
• An excellent communicator and collaborator, with the ability to translate complex technical concepts into clear and actionable insights for both technical and non-technical audiences.

What you'll be doing

• Build and scale; design the foundation of Enterprise Risk’s data capabilities and identify growth areas that multiply the effectiveness of the team.
• Develop, optimize and maintain our BI infrastructure on Looker using SQL and Python.
• Create scalable solutions to risk management that ensure data accuracy, consistency, and accessibility.
• Drive the automation of manual risk assessment processes by identifying opportunities for optimization and implementing technical solutions to improve efficiency.
• Partner closely with the different teams in Enterprise Risk to understand their needs, leverage their expertise and capacity, and simplify complexity through smart, user-focused solutions.
• Liaise with other Data teams in the Second Line and leverage their expertise to apply to Enterprise Risk’s scope.
• Champion data governance and data quality by ensuring data integrity, security, and access control through best practices.

Nice to haves

• Experience working with risk management, financial data, and banking are a big plus

Perks and benefits

• Our unique approach is a product of our diverse perspectives, and we welcome individuals from all backgrounds and cultures to join us in solving unique challenges.
• Adyen encourages women and members of underrepresented communities to apply, even if they don't meet 100% of the qualifications.
• Smooth and enjoyable candidate experience with a goal to get back to applicants within 5 business days and an interview process that typically takes about 4 weeks.
• Role based out of Amsterdam office, an office-first company that values in-person collaboration.