Data Quality Governance Analyst
@ Citi

Chennai, Tamil Nadu, India
$120,000
On Site
Posted 24 days ago

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Job Details

About the Role

The Data Quality Governance Analyst at Citi is part of the AIM global community driving data transformation. The role supports the US region of the Retail Consumer Bank by implementing data quality measurement programs and ensuring regulatory and governance compliance.

Key Responsibilities

  • Regulatory Support: Execute data quality measurements for regulatory programs like CCAR and AML.
  • DQ Rules Design: Identify critical data elements, design and test data quality rules.
  • Data Governance: Standardize data definitions and maintain consistency across systems.
  • Score Cards: Publish monthly/quarterly product level score cards with executive summaries.
  • Issue Management & Audit Support: Investigate defects, follow up with stakeholders, and provide data evidence for audits.

Expertise & Tools

The role requires strong analytical skills, proficiency in SAS, SQL, MS Excel, and PowerPoint. Familiarity with data definitions, data quality frameworks, data governance, and data warehouse knowledge is essential. Experience in the banking industry and understanding of finance regulations or retail business is preferred.

Educational & Experience Requirements

Applicants should have an MBA, Mathematics, IT, Computer Applications, or Engineering degree from a premier institute. A post graduate degree in related fields is advantageous. 2 to 5 years of hands-on experience in delivering data quality solutions with at least 1 year in the banking industry is required.

Key Skills/Competency

  • Data Analysis
  • Regulatory Compliance
  • Data Governance
  • SQL
  • SAS
  • Excel
  • PowerPoint
  • Issue Management
  • Audit Support
  • Business Insights
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How to Get Hired at Citi

🎯 Tips for Getting Hired

  • Customize your resume: Highlight data governance and banking experience.
  • Demonstrate technical skills: Showcase SAS, SQL, and Excel expertise.
  • Tailor application: Match Citi's data quality competencies.
  • Prepare for interviews: Outline problem-solving and analytical methods.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query optimization techniques.
Practice troubleshooting SAS scripts.
Update Excel and PowerPoint skills.
Understand data warehouse structures.

Behavioral Questions

Describe a challenge in data quality analysis.
Explain a time you streamlined issue management.
Discuss teamwork in cross-functional projects.
Share how you communicated complex insights.

Frequently Asked Questions