Optimization Data Analyst at Adyen NV

Amsterdam, North Holland, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

25 Dec, 25

Salary

0.0

Posted On

26 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Python, SQL, PySpark, Data Visualization, Statistics, ETL, Data Pipelines, Stakeholder Management, Communication, Collaboration, Big Data, Looker, Tableau, Git, FinTech

Industry

Financial Services

Description

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 We are looking for a Data Analyst to join our Optimization Data Analytics team. The ideal candidate is someone who is able to approach and understand complex problems in a structured manner, while converting the results into a compelling and actionable story for internal or external stakeholders, like our merchants. This role will split focus equally between supporting our top customers, and working on automation and scaling projects, leveraging technical skills to enhance team efficiency and support self-service analytics for the Account Management organization. Whether you come from the payments space or not, we need you to be an independent and enthusiastic thinker who is curious about how the payments ecosystem works and how that fits in with global commerce. What you’ll do Framework Development: Collaborate with cross-functional data teams to develop scalable and reusable frameworks for evaluating large datasets on pressing business questions. Data Analysis: Determine the necessary data required to solve a wide variety of business problems; extract required data, draw conclusions, and provide recommendations. Whether it’s providing insights to our key products or facilitating new experiments with our merchants, you’ll be driving new initiatives to help Adyen grow 20x. Be a Subject Matter Expert: Act as Adyen’s SME for both merchants and internal stakeholders on payment optimization. Data Strategy: Shape the next generation of BI and data infrastructure. Build self-service tools to enable business users and contribute to automation and scaling projects. Storytelling: Turn your findings into effective communication and concise, actionable advice by connecting the data to a story. You will be presenting to internal customers, but also to our merchants (the biggest and well known brands in the world) directly. Stakeholder Management: Collaborate with Account Managers, Product teams, and other Optimization Data Analysts to align on data best practices and priorities. Gather requirements, provide data insights, and address inquiries. Communicate findings, recommendations, and progress clearly and concisely. Technical Contributions: Write complex and high performing Python/SQL queries, perform robust data manipulations, and utilize advanced statistical techniques. Develop and optimize data pipelines using PySpark and other Big Data tools. Create and optimize ETLs, ensuring data consistency and reliability. Design and develop LookML models and Looker dashboards. Who you are You have at least 4 years of relevant working experience in the Data & Analytics field. You have excellent analytical and data wrangling skills, with advanced proficiency in PySpark/ Python. Experience using descriptive and inferential statistics (e.g., distributions, correlations, hypothesis testing, regressions). Expertise in leveraging data to uncover meaningful and actionable insights, paired with the ability to craft compelling data stories that effectively present findings and recommendations to executives, driving informed decision-making. Experience with data visualization platforms (e.g., Looker, Tableau). Familiarity with Big Data tools and platforms such as Spark and Airflow, and proficiency in version control using Git. Ability to design and develop efficient and scalable ETL and data pipelines for datasets, including the use of automated data validation to ensure reliability. Ability to manage multiple priorities and deliver results in a fast-paced environment. Excellent communication and collaboration skills, with a global perspective and ability to interface seamlessly with a global, multicultural team. Experience in FinTech or Payments is a plus. 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.

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Responsibilities

The Optimization Data Analyst will collaborate with cross-functional teams to develop frameworks for evaluating large datasets and provide actionable insights to support business growth. They will also act as a subject matter expert on payment optimization and shape the data strategy for self-service tools and automation projects.