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