Data Visualization Analyst

Citi; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Citi Bengaluru seeks a data quality and analytics professional to drive data quality measurement programs, governance, and actionable insights across Citi’s global functions. You will support regulatory programs like CCAR/AML, design data quality rules, and publish executive summaries and scorecards for senior management.

Role requires strong data analysis, SAS/SQL proficiency, and experience with MS Excel/PowerPoint; knowledge of GenAI tooling and ML techniques is a plus.

Qualifications

• MBA or master's degree in Economics/Statistics/Math/IT/Computing.
• B.Tech/B.E in IT/IS/CA.
• 5–8 years of hands-on data quality experience, with banking exposure.

Skills

Data analysis

Analytical methodology

Actionable insights

Executive communication

GenAI awareness

Education

MBA/Master in Economics/Statistics/Math/IT/CA

B.Tech/B.E in IT/IS/CA

Post Graduate in CS/Math/OR/Management Science

Tools

SAS

SQL

MS Excel

PowerPoint

VBA

GenAI platforms & ML techniques

Job description

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
• 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 and VBA
• GenAI Platforms & Tooling Expertise, AI/Machine Learning experience, ML Techniques

Preferred - Domain Skills

• 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
• Hands on experience on KPI's 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
• Data Acumen: Deep 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 and client data
• Good understanding of Banker/Advisor Sales Coverage Hierarchy, licencing & registration

(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

Grade :Salary Range-Level: C11-Structure: 5Salary Range-Level: C11-Structure: 5-Standard-IND-4

Time Type :Full time