
at Citi
Bulge Bracket Investment BanksPosted 11 days ago
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**Data Governance and Quality Analyst**: Ensure data accuracy and integrity in Citi's retail consumer bank. Key responsibilities include DQ measurement, metrics design, data governance, scorecards, issue management, and audit support. Required skills encompass analytics (SAS, SQL), data understanding, problem-solving, and communication. Ideal candidates possess 5-8 years of data quality experience, with at least 2 years in banking. Full-time, hybrid role in Bengaluru, India.
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
Full Job Description
Data Governance and Quality Analyst
Job Req Id:
26995063
Location(s):
Bengaluru, Karnataka, India
Job Type:
Hybrid
Posted:
Sep. 18, 2026
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Job Overview
JD 1: SIS DQM- NAM DQ team (C11)
About us:
Analytics Information management (AIM) is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast growing organization working with Citi businesses and functions across the world.
What do we offer:
DQM team manages the implementation of best in class data quality measurement programs across globe in retail consumer bank. The critical areas we support:
- Regulatory Support: Execution of business data quality measurements as per regulatory programs like CCAR, AML etc
- Metrics Design: Identification of critical data elements in different systems, data quality rules design, Testing and validation of rules
- Data Governance: Standardization of data definitions and ensuring consistency in measurement as per definitions across systems/products/regions.
- DQ Score cards: Publishing monthly/quarterly score cards at country level and preparing executive summary reports for senior management
- Issue Management: Identifying defects and investigating root causes for different issues. Following up with stakeholders for resolution as per SLA
- Audit Support: Identifying cases on control gaps, policy breaches and providing data evidence for audit completion
Expertise Required:
Analytical Skills
- Data analysis and visualization
- Proficient in formulating analytical methodology, identifying trends and patterns with data
- Generate actionable Business Insights
(Preferred) -
Tools and Platforms
- Proficient in SAS, SQL
- Proficient in MS Excel, PowerPoint and VBA
Preferred -
Domain Skills
Good understanding of
- Data definitions and data discovery
- Data quality framework
- Data Governance including identification of critical data elements, measuring and monitoring of CDEs
- Process improvement experience pertains to compliance and data quality initiatives
- Hands on experience on KPIs 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
(Preferred) - Knowledge of Finance Regulations, Understanding or Retail Business
Soft Skills
- 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
Educational and Experience:
- 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 8 years of hands on experience in delivering data quality solutions, with at least 2 years experience in Banking Industry
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Job Family Group:
Decision Management------------------------------------------------------
Job Family:
Data/Information Management------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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