Optimisation Data Analyst

📋 Description Data-Driven optimization: Analyze large-scale payment datasets to identify performance trends Scalable tooling & automation: Build analytics solutions, automation pipelines, and Cross-Functional Collaboration: Partner with Product, Data, and Commercial teams to translate Advanced problem-solving & experimentation: Lead A/B testing and data investigations to shape Strategic data storytelling: Synthesize complex data into narratives for technical and Mentorship & best practices: Support knowledge-sharing and elevate analytical standards within 🎯 Requirements 3–5 years of experience in data analytics, data science, or similar roles (fintech/payments or Strong proficiency in Python, SQL, and PySpark; hands-on with large-scale data processing. Experience designing scalable ETL/data pipelines and data validations for reliability. Familiarity with big data tools (Spark, Airflow) and Git version control. Solid experience with data visualization (Looker, Tableau) and dashboard development. Strong foundation in statistics, hypothesis testing, and data mining; excellent communication and