Data Analytics- SAS/ SQL - C10 - CHENNAI

Role Overview: You will be a part of the Analytics & Information Management (AIM) team at Citi, a global community focused on driving data-driven transformation across the organization. Your role will specifically involve working on Client Remediation Analytics, where you will be responsible for managing a professional team to integrate subject matter expertise and industry knowledge to identify and validate client population analytics for issues requiring client remediation and remuneration. Your communication and diplomacy skills will be crucial in guiding, influencing, and convincing colleagues in other areas and regulators. Key Responsibilities: - Manage the analysis of customer remediation issues for NAM Lines of Business (Cards, Retail Bank, Mortgage & Ops) - Execute comprehensive data remediation approach on customer issues due to gaps observed in policies and governance - Identify the size of customers and the dollar amount impacted due to these issues - Conduct issue management & root cause analysis by leveraging analytical methods - Track implementation plans and provide data evidence for audit completion - Deliver routine and defined outputs while developing knowledge of the broader context of the work - Assess risks in business decisions and ensure compliance with applicable laws, rules, and regulations Qualifications: - 2-5 years of relevant experience - Ability to think strategically and engage resources outside direct control - Knowledge of analytic tools such as SAS E-miner, Knowledge Seeker, SPSS - Experience with big data and machine learning tools like R, Python is a plus Additional Details: - Education Level: Bachelors/University degree or equivalent experience/ Engineering/ MBA from a premier institute - Overall experience of 3-5 years with experience in a Data Analyst role - Experience in the Banking Industry is a plus - Schedule: Full-time - Working days: Hybrid - Minimum 3 days in office in a week (adherence to CITI HWW policy) - Shift: Regular Local Working Hours (aligned with NAM overlapping working hours),