Data Analyst- Corporate Banking

Overall years of experience 8+ years of experience in Data Analysis, Business Analysis, Banking Technology, or Data Management. Relevant years of experience 5+ years of experience in Corporate Banking, Credit Risk, Lending, ELCM, Credit Proposal, Limit Management, or related banking transformation programs. Experience within Corporate Banking, Credit Risk, Lending, or Banking Transformation programs is mandatory

Mandatory Skills

Strong understanding of Corporate Banking, Credit Risk, Lending, Credit Approval and Limit Management processes.

Hands-on experience working on Credit Proposal, ELCM (Enterprise Limit Management), Credit Workflow, Loan Origination, Credit Risk, Limit Management, or Collateral Management platforms.

Advanced proficiency in SQL with hands-on experience in data analysis, profiling, reconciliation, validation, and root cause analysis.

Strong experience in Business Analysis, Requirement Gathering, Functional Analysis, and Data Analysis.

Experience in Source-to-Target Mapping (STM), Data Lineage Analysis, and Data Flow Documentation.

Strong understanding of banking data domains including Customers, Facilities, Limits,



Collateral, Covenants, Ratings, Credit Proposals, and Credit Applications.

Hands-on experience in Data Quality Assessment, Data Profiling, Data Reconciliation, and Data Validation activities.

Experience in preparing BRD, FRD, Functional Specifications, Data Mapping Documents, User Stories, and Test Scenarios.

Experience supporting SIT, UAT, Data Migration, and Business Validation activities.

Solid analytical, problem-solving, communication, and stakeholder management skills.

Desired Skills

Experience in Corporate Banking transformation programs, Credit Risk initiatives, or Lending platform implementations.

Exposure to Moody's, nCino, Finastra, FIS, Temenos, Oracle Banking, or similar banking platforms.

Knowledge of Basel, IFRS9, Regulatory Reporting, Risk Data Management, and Data Governance frameworks.

Experience with Power BI, Tableau, Azure Data Platform, Databricks, or Enterprise Data Warehouses.

Understanding of Data Governance, Data Quality Management, and Data Stewardship practices.

📌 Data Analyst- Corporate Banking (India)
🏢 Net2Source (N2S)
📍 India