Senior Financial Data Analyst

Senior Financial Data Analyst, Finance Data and Technology

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.

Senior Financial Data Analyst, Finance Data and Technology

Adyen is looking for a Senior Financial Data Analyst to join the Finance Data and Technology team in Amsterdam. As a Financial team, we help our Tech teams gather the data necessary to update our wide range of Financial Products.

The ideal candidate is someone who is able to build a narrative and see the story hidden within the data, able to automate reporting while collaborating with internal Financial stakeholders.

What you'll do

• Data Analysis: determine the necessary data required to solve a wide variety of business problems, draw conclusions and recommendations for optimizations and automation.
• Delivery of Business Insights: share findings, measure impact, and inform the areas in our operations that can be further optimized. Provide insights into our key financial and operational processes that influence decision making and help Adyen scale further.
• Translate & Influence: clearly communicate complex topics to both technical and non-technical audiences, showcasing your impact across our global teams.
• Cross-team collaboration: ensure alignment and adoption between key stakeholders like Data Engineering and Finance teams.
• Process improvement: monitor the effectiveness of implemented controls, contribute to process improvement, and scale our fraud prevention framework.
• Mentoring: You will mentor and help grow your team, both regarding technical skills as well as business-wide decision-making.

  Who you are

• You have 5+ years of professional experience as a Data Analyst, preferably in a fast-paced, product-focused environment.
• You are proficient in Python and SQL and have strong expertise with BI tools like Looker. Any previous experience with big data tooling (i.e. PySpark) is a plus.
• You are able to structure projects and prioritize tasks and solutions based on impact and effort across several cross-functional teams.
• You are an excellent communicator in English, able to lead discussions effectively with both technical and nontechnical audiences.
• You are hands-on and curious about the details of our banking and payments infrastructure.

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you're from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application

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.