Jobs → Data & Analytics → Lead Data Analyst

About the Role We are seeking a Lead Data Analyst with experience in the International Banking domain to join our team. This role involves analyzing large and complex datasets, developing SQL queries, and using Python and PySpark for data processing. Key Responsibilities • Analyze large and complex datasets related to international banking operations • Develop and optimize SQL queries for data extraction, transformation, and analysis • Use Python and PySpark for large-scale data processing, analysis, and automation • Investigate data discrepancies and coordinate with relevant teams to resolve issues • Prepare analysis-ready datasets and reports to support business and operational requirements • Optimize SQL queries and data processing workflows for performance and scalability • Collaborate with Data Engineers, business stakeholders, and technical teams to understand data requirements • Maintain documentation for SQL queries, transformation logic, validation rules, and analytical processes • Contribute to continuous improvement initiatives across data analytics, processing efficiency, and reporting Requirements • 6-9 years of relevant experience in Data Analytics, Data Analysis, or related analytical roles • Mandatory experience in the International Banking domain • Strong hands-on experience with SQL / Advanced SQL for data extraction, transformation, and analysis • Strong programming proficiency in Python for data analysis and processing • Hands-on experience with PySpark for large-scale data processing • Strong understanding of data cleansing, transformation, validation, and reconciliation • Strong analytical, problem-solving, and troubleshooting skills • Strong communication and collaboration skills when working with business and technical stakeholders