Data Analyst

EXL; Gurugram District; Hybrid; INR 900,000 - 1,500,000; Full time

Job summary

EXL in Gurgaon is seeking a Risk & Compliance Validation Specialist to verify datasets produced by the Data Discovery team. The role focuses on validating outputs before they are used in product use cases, ensuring data accuracy and reliability.

The candidate should have 4-8 years of experience, strong SQL expertise, and prior exposure to Banking/Financial Services. Location is Gurgaon with a 3-day in-office requirement and immediate start date.

Qualifications

• 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.

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.

Skills

SQL expertise

Banking domain

Communication

Data Validation

Data Engineering

Data structures

Data sanity checks

Job description

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 with no 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