Details.
CubeMatch is seeking an experienced Data Analyst to support a Finance and Risk Data transformation initiative focused on standardising data business logic across the entire reporting chain. The role involves analysing complex finance and risk datasets using Python, developing Power BI dashboards and visualisations, ensuring data accuracy and compliance with BCBS239 requirements, documenting data lineage, collaborating with Finance, Risk, Data and DevOps teams, validating data definitions and business rules, supporting data quality assessments and remediation, working in a SCRUM-based agile environment, documenting analytical processes, and contributing to pilot project objectives. Essential skills include strong Python data analysis experience, Power BI dashboard and reporting experience, experience with large and complex datasets in finance or risk environments, understanding of data governance and data lineage, and familiarity with BCBS239 or similar regulations. SQL and relational database knowledge is highly desirable, while basic data modelling knowledge is an advantage. CubeMatch offers a values-led, inclusive and diverse workplace with professional development opportunities.