Citi is seeking a Data Analytics Specialist proficient in SAS and SQL for their Chennai office. This role involves analyzing customer remediation issues, conducting impact assessments, and performing root cause analyses to support global remediation efforts. The ideal candidate will have experience with tools such as SAS, SQL, Teradata, and Unix, and will play a crucial role in ensuring data accuracy and compliance within Citi’s operations.
Interested candidates can apply online as soon as possible. The detailed eligibility and application process are given below.
Citi is Hiring: Data Analytics – SAS and SQL Specialist (C11) – Chennai – Overview
| Company Name: | Citi |
| Job Role: | Data Analytics – SAS and SQL Specialist |
| Location: | Chennai |
| Work Mode: | On site |
| Last Date to Apply: | ASAP |
Skills:
- Tools and Platforms
- Proficient in SAS, SQL, RDBMS, Teradata, Unix
- Proficient in MS Excel, PowerPoint, and VBA
- Jira, Bitbucket
- Mainframes
- Exposure to Big data, Python
- Domain Skills
- Good understanding of banking domain and consumer products (Retail Banking, Deposit, Loans, Wealth management, Mortgage, Insurance, etc.)
- (Preferred) Knowledge of Finance Regulations, Understanding on Retail Business/ Banking Domain
- Analytical Skills
- Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form
- Data analysis, Data profiling, Data Management skills
- MIS reporting and generate actionable Business Insights
Responsibility:
- R&R team manages the analysis of the customer remediation issues across globe, currently in retail consumer bank. The critical areas are work is divided into:
- Remediation analysis: Execution of the comprehensive data remediation approach on Customer issues due to gaps observed in policies and governance, Self-identified, or through IA.
- Impact assessment: Identification of size of the customers and the dollar amount impacted due to these issues.
- Issue Management & Root cause analysis: Identifying the issues and reasons for the issues by leveraging analytical methods.
- Audit Support: Tracking implementation plans and providing data evidence, artifacts for audit completion
