Job Description & How to Apply Below
Location: Bengaluru
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)
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