Data Analyst

Overview

Data Analyst role within Citi's AIM data-driven transformation group, supporting data quality measurement programs for the US region, retail consumer bank and Wealth.

What you'll do

• Execute business data quality measurements for regulatory programs such as CCAR and AML.
• Identify critical data elements in different systems, design data quality rules, and test and validate them.
• Standardize data definitions and ensure consistent measurement across systems, products and regions (Data Governance).
• Publish monthly and quarterly data quality score cards at product level and prepare executive summary reports for senior management.
• Identify defects, investigate root causes, and follow up with stakeholders for resolution as per SLA.
• Identify control gaps and policy breaches and provide data evidence for audit completion.

What you'll need

• MBA, Mathematics, Information Technology, Computer Applications or Engineering from a premier institute, or BTech/B.E in Information Technology, Information Systems or Computer Applications.
• 2 to 5 years of hands-on experience in delivering data quality solutions, with at least 1 year of experience in the Banking Industry.
• Analytical skills: data analysis and visualization, formulating analytical methodology, identifying trends and patterns, and generating actionable business insights.
• Good understanding of data definitions and data discovery, data catalog, lineage and data quality framework.
• Good understanding of data governance, including identification of critical data elements and measuring and monitoring CDEs.
• Understanding of data flow, storage, criticality, business rules, controls and relevant technologies.
• Ability to explore data, translate it into business context, establish quality standards, and investigate quality issues.
• Methodical problem-solving, goal-oriented focus, process improvement drive, and executive-level communication.
• Excellent communication and interpersonal skills; good process management skills; ability to work in teams.

Nice to have

• Proficiency in SAS and SQL.
• Proficiency in MS Excel and PowerPoint.
• GenAI platforms and tooling expertise, AI/Machine Learning experience, and ML techniques.
• Process improvement experience related to compliance and data quality initiatives.
• Good understanding of financial data.
• Knowledge of finance regulations and understanding of retail business.
• Post Graduate degree in Computer Science, Mathematics, Operations Research, Econometrics, Management Science or related fields.
• BTech/B.E in Information Technology, Information Systems or Computer Applications.

Details

• Location: Bangalore, Karnataka, India.
• Full-time position.
• Job family group: Decision Management; job family: Data/Information Management.