Data Analyst

Work location: CBD Area We are looking for a Data SME to support a data engineering initiative built on Azure and Databricks. This is an early-career role: the ideal candidate has foundational knowledge of SDLC and data warehouse concepts, basic SQL/Python skills, and awareness of common integration methods, and is looking to build hands-on experience on a live data platform within a banking context. • 1 to 3 years of experience; banking or financial services exposure is a plus but not mandatory. • Foundational understanding of SDLC concepts (requirements, design, build, test, deployment phases). • Foundational understanding of data warehouse concepts (e.g., dimensional modeling, ETL/ELT basics). • Basic working knowledge of Azure and Databricks concepts. • Basic knowledge of SQL and Python. • Basic knowledge of integration concepts: file transfer protocols (FTP/SFTP), MQ, and APIs. • Good communication skills and willingness to learn on a live, hands-on data platform.