Data Analyst (Governance)

About us:

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 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.
• Country-Specific Data Regulations and Permissions
• Product-Specific Data: Knowledge of the data elements associated with various wealth management products (e.g., investment portfolios, trusts, lending products) and how this data informs product suitability and client recommendations.
• 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:

Decision Management

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## Job Family:

Data/Information Management

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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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