Data Modeler/Data analyst- CIL modernisation
- Salary
- Up to ₹2.5M
- Hiring from
- India
- Work type
- Hybrid
- Posted
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Job Description
Location:
Chennai, Bangalore, Hyderabad (Hybrid)
Experience:
9+ years overall, with minimum 3 years recent experience as a Data Analyst (preferably AML/Fraud in financial domain)
Employment Type:
Full-Time
Compensation:
Up to INR 25 LPA (market competitive)
About the Role
We are seeking a highly experienced Senior Data Analyst / Data Modeler to join our CIL Modernisation initiative. The ideal candidate will bring strong expertise in data modeling, governance, and quality frameworks, with proven experience in financial domain projects (AML/Fraud preferred).
Key Responsibilities
Perform data modeling/STTM for large-scale databases using tools such as Erwin / Hackolade
Establish and implement Data Governance frameworks, including Data Quality rules and controls across databases and pipelines
Utilize Collibra or similar tools for governance and quality management
Conduct data validations, root cause analysis, and reconciliation between source and target systems (current vs. future states)
Collaborate effectively with business stakeholders, ensuring clear communication and documentation
Work independently with AI tools to enhance data processes and analysis
Contribute as a strong team player in modernization projects
Mandatory Skills
Senior Data Analyst / Data Modeler with AML/Fraud domain exposure
Expertise in Erwin / Hackolade for modeling large databases
Strong knowledge of Data Governance & Data Quality frameworks
Hands-on experience with Collibra
Proficiency in data validation, reconciliation, and root cause analysis
Excellent communication, documentation, and stakeholder management skills
Experience leveraging AI tools in data workflows
Work Preference
Hybrid (flexibility between office and remote work)
