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Adyen is a financial technology platform providing payments, data, and financial products for major customers including Meta, Uber, H&M, and Microsoft.
In this Data Analyst II role, you will transform complex data into clear insights that guide commercial decision-making within the Finance and Commercial teams. 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.
Key Responsibilities:
• Support technical contributions: Assist in the development and optimization of Revenue Operations data pipelines using SQL, Python, and big-data tools. Contribute to ETL improvements to ensure data consistency and reliability.
• Reporting and dashboards: Build and maintain LookML models and Looker dashboards to deliver accurate, timely insights to commercial stakeholders.
• Data quality and governance: Play an active role in data governance initiatives by cleaning, transforming, and documenting datasets, ensuring accuracy and reliability.
• Automation: Contribute to the automation of recurring reporting processes (e.g., Quarterly Business Reviews, pipeline reporting).
• Scalability: Develop scalable, reliable, and sustainable data products that can be re-purposed for different use cases.
• Collaboration: Work closely with cross-functional data teams and other Revenue Operations functions to align on data initiatives and technical improvements.
• Developing insights: Analyze datasets and translate findings into actionable insights for the commercial teams.
Requirements:
Must haves:
• 2–4 years of experience in Data Analytics with proven expertise in the field
• Proficiency in Python and SQL for data analysis and processing
• Good communication and collaboration skills, with the ability to work effectively within a global, multicultural team
• Data Wrangling expertise: skilled in cleaning, transforming, and organizing large datasets, handling missing data, detecting outliers, and ensuring data integrity
• Good analytical skills: adept at extracting meaningful insights from complex datasets and translating them into actionable recommendations
• Flexibility for occasional business travel to support global collaboration and projects
Plus (nice-to-haves):
• Familiarity with analytical and statistical techniques (e.g., distributions, correlations, hypothesis testing, regression analysis) and with validation frameworks
• Exposure to big-data tools such as PySpark, Airflow, or Git
• A background in econometrics, data science, engineering, or other quantitative studies
The role is based in the Amsterdam office. Adyen is an office-first company and values in-person collaboration.
