Data Analyst

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Header	Description
Role Description	This role sits within the Risk & Compliance Product Team, working closely with the Data Discovery team. The Data Discovery team builds datasets/tables, and this role is responsible for validating those outputs before they are consumed by product use cases
Location	Gurgaon (3 days in office withno exceptions)
Experience	4-8 Years
Start Date	Immediate
Must-Have Skills	Strong SQL expertise (mandatory) Experience in Banking / Financial Services domain (mandatory) Strong Communication and stakeholder management skills Experience in either: Data Validation / Data Testing, OR Data Engineering / ETL / Data Build Strong understanding of: Data structures and tables Data sanity checks and validation techniques
Key Responsibilities	Validate datasets and tables generated by upstream data teams, including legacy and POA data systems, to ensure accuracy and reliability Execute SQL-based validation to verify data accuracy and completeness Cross-check source vs output data (table-level validation, not complex mapping ownership) Identify data issues, anomalies, and inconsistencies and drive resolution Collaborate with data teams to confirm expected outputs and business logic

Validate datasets and tables generated by upstream data teams, including legacy and POA data systems, to ensure accuracy and reliability
Execute SQL-based validation to verify data accuracy and completeness
Cross-check source vs output data (table-level validation, not complex mapping ownership)
Identify data issues, anomalies, and inconsistencies and drive resolution
Collaborate with data teams to confirm expected outputs and business logic

Graduate in Computer Science, Data Science, or related field. years of experience in data engineering or related field.