Description

Key Skills: Data Analyst, Data Engineer, Collibra, Investment Banking, Metadata

Roles and Responsibilities:

• Analyze and validate fund performance, fund administration, and exposure data to ensure accuracy and consistency.
• Translate business needs into data requirements, including data quality rules, completeness criteria, and acceptance standards.
• Write and maintain data rules, validation checks, business logic, and quality thresholds to define what good data looks like.
• Investigate data anomalies using SQL and analytical tools, supporting reconciliations and root-cause analysis.
• Build and maintain dashboards, metadata, and governance artifacts in Collibra, including data lineage notes and issue logs for audit readiness.

Skills Required:

• 5 - 7 years of relevant experience in data analysis, data quality, and financial/investment data environments
• Data Analyst and Data Engineer experience, including day-to-day dataset monitoring and continuous improvement of data accuracy and completeness.
• Strong SQL skills for anomaly investigation, reconciliation support, and structured analysis of data issues.
• Hands-on ability to define data quality rules, validation checks, and completeness standards across accuracy, completeness, consistency, and timeliness.
• Experience documenting data element definitions, calculations, tolerances, and transformations, and maintaining data dictionaries and metadata.

Good to Have:

• Investment banking domain experience, including fund performance metrics, capital activity, investor allocations, and exposure reporting.
• Metadata management and governance experience.
• Collibra experience for building and maintaining governance artifacts and metadata.

Education: B.E., B. Sc., or B.Tech (Information Technology & Networking / Computer Science / related fields)

Key Skills

Education

Any Graduate