Data Analyst

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:
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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Work arrangement
Hybrid