Data analysis and visualization Proficient in formulating analytical methodology, identifying trends and patterns with data Generate actionable Business Insights Methodical problem-solving, goal-oriented focus, process improvement drive, and executive-level communication proficiency. Tools and Platforms Proficient in SAS, SQL Proficient in MS Excel, PowerPoint and VBA GenAI Platforms & Tooling Expertise, AI/Machine Learning experience, ML Techniques Good understanding of Data definitions and data discovery Data Catalog, Lineage and Data quality framework Data Governance including identification of critical data elements, measuring and monitoring of CDE's Process improvement experience pertains to compliance and data quality initiatives Hands on experience on KPI's design, issue resolution and remediation activities Identification of control gaps and providing recommendations as per data strategy Measuring effectiveness of different DQ roll out programs Data Acumen: Deep understanding of data flow, storage, criticality, business rules, controls, and relevant technologies. Data Analysis & Interpretation: Ability to explore data, translate it into business context, establish quality standards, identify trends, investigate quality issues, and understand its ultimate utility. Country-Specific Data Regulations and Permissions Product-Specific Data: Knowledge of the data elements associated with various wealth management products (e.g., investment portfolios, trusts, lending products) and how this data informs product suitability and client recommendations. Good understanding of financial data and client data Good understanding of Banker/Advisor Sales Coverage Hierarchy, licencing & registration Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form Should have excellent communication and inter-personal skills Good process/project management skills Ability to work well across multiple functional areas Ability to thrive in a dynamic and fast-paced environment MBA / Master degree in Economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications (Preferred) Post Graduate in - Computer Science, Mathematics, Operations Research, Econometrics, Management Science and related fields 5 to 15 years of hands on experience in delivering data quality solutions, with at least 2-8 year's experience in Banking Industry ------------------------------------------------------ For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------