Data Visualization Analyst

Citibank (Switzerland) AG; Bengaluru; On-site; Confidential; Full time

Job summary

Citibank (Switzerland) AG in Bengaluru seeks a Data Quality professional to drive data quality programs across Citi’s global businesses. You will design metrics, validate rules, and publish executive summaries, ensuring regulatory alignment and governance.

The role requires strong SQL/SAS skills, data analysis, and experience in banking data definitions, lineages, and KPI design. MBA or similar master’s preferred; 5–8 years’ experience.

Qualifications

• MBA or Master degree in Economics/Statistics/Mathematics/Information Technology/Engineering.
• 5-8 years in delivering data quality solutions, with banking domain exposure.
• Strong analytical methods, data discovery and governance knowledge.

Responsibilities

• Execute data quality measurement programs across regions.
• Design and validate data quality rules; publish scorecards.
• Identify defects, perform root-cause analysis and drive remediation.

Skills

SQL

SAS

Excel

Data Visualization

Education

MBA or MSc/MA in Economics/Statistics/Math/IT/CS/Engineering

Tools

SAS

SQL

Excel

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 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 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 year’s experience in Banking Industry

Job Family Group: Decision Management

Job Family: Data/Information Management

Time Type: Full time

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