Tableau Data Analyst - Remote in London

This is AdyenAdyen 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. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.Optimization Data AnalystWe are looking for a Data Analyst to join our Optimization Data Analytics team. 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.What you’ll doFramework 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.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. 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. Who you areYou have at least 5 years of relevant working experience in the Data & Analytics field.You have excellent analytical and data wrangling skills, with advanced proficiency in PySpark/ Python.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.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. Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. This role is based out of our London office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.