Magnet.me  -  Het slimme netwerk waar studenten en professionals hun stage of baan vinden.

Het slimme netwerk waar studenten en professionals hun stage of baan vinden.

Data Analyst - Payments

Geplaatst 14 jun. 2025
Delen:
Werkervaring
2 tot 5 jaar
Full-time / part-time
Full-time
Functie
Soort opleiding
Taalvereiste
Engels (Vloeiend)

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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.

Payment Solutions

At Adyen, our Payment Solutions team processes millions of transactions daily, empowering leading global businesses to deliver seamless, integrated payment experiences online and in-store. Our solutions allow companies to tailor their payment processes to meet customers’ needs. Join us in transforming data into insights that will shape the future of payments. We’re looking to hire for the following teams:

In-Person Payments:
Adyen’s In-Person Payments team powers in-store experiences for major global brands, enabling them to streamline operations, elevate customer engagements, and adapt quickly to evolving market needs. The In-Person Payments Data Team plays a key role in harnessing payment and hardware data to drive product innovation and commercial growth.

AI and Strategic Data:
As Adyen and our customers grow, we’re expanding existing merchants, entering new markets, offering new products, and enabling diverse business models. This exciting growth increases our data volume and complexity. Our team capitalizes on this by delivering complete, cross-functional data that connects insights across our Payment Solutions, accelerating strategic decision-making. To keep pace with this growth and complexity, we’re building an AI-powered intelligence layer that makes critical information and insights instantly accessible so every team can make informed decisions, when and where it matters most.

What you’ll do

  • Collaborative Solution Development: You’ll work closely together with product and engineering teams and other data analysts and engineers to ideate, build, and evaluate data solutions to meet business needs. Engage stakeholders to gather requirements, provide data insights, address inquiries, and drive strategy. Communicate findings, recommendations, and progress clearly and concisely to diverse audiences.
  • Data Analysis and Insights: Analyze data to identify trends, uncover challenges, and reveal opportunities for improvement. Provide data-driven recommendations to optimize customer performance, increase efficiency, and enhance product offerings.
  • Strategic Leadership: Leverage data insights to proactively shape and drive product strategy. Influence and support product development by providing data-driven guidance to inform decision-making. Initiate and drive new projects to help Adyen achieve significant growth.
  • Tool Development: Design and build impactful tooling that structurally adds value to our product teams and develop scalable solutions that enhance data accessibility and usability for stakeholders.

Who you are

  • You bring 2+ years of experience as a Data Analyst or in a related role, with a strong blend of technical and strategic skills.
  • Capable of clearly translating complex data insights for both technical and non-technical audiences.
  • You thrive in a dynamic environment, prioritize effectively, and maximize impact through strategic foresight.
  • You enjoy managing diverse stakeholders, align cross-functional teams, communicate clearly, and drive collaboration across business areas.
  • You bring a curious, experimental approach, eager to iterate and improve.
  • You excel at breaking down complex tasks, setting timelines, and tracking progress to align with strategic goals.
  • Comfortable working together with a diverse, multicultural team, you are culturally aware, collaborative, and open to engaging with teams globally.
  • Proficient with BI tools (e.g., Looker), Python, and SQL. Familiarity with big data tools like PySpark, Hadoop, and Airflow is a strong advantage.

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!

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.

The Adyen Formula

The way we work is guided by the eight principles of the Adyen Formula.

Tech careers

Our engineers are building the first financial technology platform that combines payments, data, and financial services. We’re looking for more talented problem solvers to help us address a unique set of challenges.

We took an unobvious approach to starting a payments company, building a platform from scratch. Today, we're the payments platform of choice for the world's brightest companies. Our unobvious approach is a product of our diverse perspectives. This diversity, of backgrounds, cultures, and perspectives, is essential in helping us maintain our momentum.

Financieel & Banken
Amsterdam
Actief in 22 landen
1.700 medewerkers
60% mannen - 40% vrouwen
Gemiddeld 31 jaar oud