This is Adyen
Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.
For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.
Data Analyst
In this role, you will transform complex data into clear insights that guide commercial decision-making. You will contribute to the development of scalable analytics solutions, from dashboards to data pipelines, while collaborating closely with senior data analysts, data engineers, and cross-functional partners across the business.
This is a high-impact role with a unique opportunity to develop. You'll be joining a team of experts, and we're looking for someone who is passionate about data and technology, eager to learn, and proactive in finding opportunities to create value.
What you’ll do
- Support technical contributions: Support cross-functional data needs by collaborating with stakeholders across Commercial, Finance and Engineering teams.
- Data quality and governance: Play an active role in data governance initiatives by cleaning, transforming, and documenting datasets, escalating data inconsistencies and ensuring accuracy and reliability.
- Automation: Leverage AI to automate manual and repetitive processes.
- Developing insights: Analyze datasets and translate findings into actionable insights for the commercial teams.
- Scalability: Develop and design scalable, reliable, and sustainable data products that can be re-purposed for different use cases.
Who you are
Must haves:
- 1-3+ years of experience in data analysis, data wrangling, or related analytical roles.
- Proficiency in SQL and Python (Pyspark beneficial but not needed) for data analysis and processing.
- Good analytical skills: adept at extracting meaningful insights from complex datasets and translating them into actionable recommendations.
- Basic understanding of data validation, reconciliation, and data quality practices.
- Strong attention to detail, particularly in data accuracy and control-oriented environments.
- Good communication and collaboration skills, with the ability to work effectively within a global, multicultural team.
- Fluency with AI tools to automate repetitive tasks (first-draft code, boilerplate documentation, exploratory queries).
- You are proactive and have a deep curiosity for how things work and an analytical mindset that helps you solve problems.
- You are comfortable working in ambiguity and eager to shape your own path.
Plus:
- Familiarity with analytical and statistical techniques (e.g., distributions, correlations, hypothesis testing, regression analysis) and with validation frameworks.
Diversity, Equity, and Inclusion at Adyen
We actively seek different perspectives to sharpen our ideas. Our unique culture is a product of our diverse backgrounds and experiences. No matter who you are or where you’re from, you’re welcome to be your true self at Adyen.
If you need accommodations or support during the recruitment process to perform at your best, you’ll have the opportunity to let our team know in your application. We encourage people from all backgrounds and abilities to apply.
What’s next?
Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.
This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.