Optimization Data Analyst

• 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
• 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
• present to internal customers and merchants
• 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

• At least 4 years of relevant working experience in the Data & Analytics field
• 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
• 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