Data Analyst

Citigroup Inc.; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Citigroup Inc. is seeking a skilled Data Quality & Governance professional in Bengaluru to drive data quality measurements and governance across Citi programs. You will design and validate data quality rules, generate insight, and support executive reporting.

The role requires 2–5 years of data quality experience, with at least 1 year in banking, and strong analytical communication skills to engage senior stakeholders.

Qualifications

• MBA / Mathematics / IT / CA from a premier institute; BTech / BE in IT/IS/CA.
• Post graduate in CS, Mathematics, Operations Research, Econometrics, Management Science or related fields preferred.
• 2-5 years hands-on experience delivering data quality solutions, with at least 1 year in Banking.

Responsibilities

• Execute data quality measurements for Citi data programs across regions.
• Design and validate DQ rules, and test across systems.
• Publish monthly/quarterly DQ scorecards and executive summaries.
• Identify defects and drive root-cause analysis with stakeholders.
• Support data governance including definitions, lineage, and data quality framework.

Skills

Data analysis

Visualization

Analytical methodology

Executive communication

Education

MBA / Mathematics / IT / CA (premier institute)

Post Graduate in CS / Mathematics / OR / Econometrics / Management Science

Tools

SAS

SQL

MS Excel

PowerPoint

GenAI Platforms & ML basics

Job description

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:

Data team manages the implementation of best in class data quality measurement programs for US region, retail consumer bank and Wealth. The critical areas we support:

• Regulatory Support: Execution of business data quality measurements as per regulatory programs like CCAR, AML etc
• DQ rules 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 product 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
• Methodical problem-solving, goal-oriented focus, process improvement drive, and executive-level communication proficiency.

(Preferred) -

Tools and Platforms

• Proficient in SAS, SQL
• Proficient in MS Excel, PowerPoint
• GenAI Platforms & Tooling Expertise, AI/Machine Learning experience, ML Techniques

Domain Skills

Good understanding of

• Data definitions and data discovery
• Data Catalog, Lineage and Data quality framework
• Data Governance including identification of critical data elements, measuring and monitoring of CDE’s
• Process improvement experience pertains to compliance and data quality initiatives
• Identification of control gaps and providing recommendations as per data strategy
• Data Acumen: Understanding of data flow, storage, criticality, business rules, controls, and relevant technologies.
• Data Analysis & Interpretation: Ability to explore data, translate it into business context, establish quality standards, identify trends, investigate quality issues, and understand its ultimate utility.
• Good understanding of financial data

(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 management skills
• Ability to work in teams

Educational and Experience:

• MBA / 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
• 2 to 5 years of hands on experience in delivering data quality solutions, with at least 1 year experience in Banking Industry

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Job Family Group:

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Job Family:

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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