3-8 years of hands-on experience in data management, data analysis, business/user requirements gathering, data analytics, and data visualization, ideally within the investment or banking sector.
Strong understanding of data management principles, key controls, governance processes, data modelling, and data integration practices.
Proven ability to manage dynamic tasks within data warehouse transformation or large-scale data projects.
Detail-oriented, meticulous, and comfortable working with complex operational data.
Proficient with business intelligence and visualization tools, particularly Tableau and Power BI.
Familiar with data warehouses, data models, and data extraction using SQL, Tableau, Python, or R.
Skilled in Excel, including formulas and macros advanced Excel knowledge is an advantage.
