Optimization Data Analyst

Requirements

• You have at least 1-2 years of relevant working experience in the Data & Analytics field.
• You are comfortable with writing Python and SQL scripts for data analysis.
• 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).
• 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.

What you'll be doing

• 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.
• 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.

Nice to haves

• Experience in FinTech or Payments is a plus.