Data Quality Analyst
Clearwater AnalyticsNoida, Uttar Pradesh, India
Posted December 11, 2025
Full Time
About the Company
Clearwater Analytics (NYSE: CWAN) is the leading provider of web-based investment portfolio accounting, reporting, and reconciliation services for institutional investors at thousands of organizations. Clearwater aggregates, reconciles, and reports on more than $6.4 trillion in assets across thousands of accounts daily. Our clients include corporate treasuries, insurance companies, investment managers, banks, governments, and other institutional investors both in the United States and worldwide. For more than a decade, we have leveraged web-based software and world-class client service to help clients such as American Family Insurance, Arch Capital, C.V. Starr & Co., Cisco, Facebook, Oracle, Selective Insurance, Sirius Group, Sompo International, Starbucks, WellCare Health Plans, Wilton Re, and many others, streamline their investment and accounting operations. Clearwater also works with hundreds of custodians, investment managers, dealers/brokers, and electronic trading portals who offer Clearwater to their many clients. With global headquarters in Boise, Idaho, and offices in Edinburgh, Frankfurt, London, New Delhi, New York, Paris, Seattle, Singapore, and Washington D.C., Clearwater sets the new global standard for investment portfolio reporting.
Job Description
The Data Quality Analyst will be responsible for monitoring, validating, and reconciling investment, borrower, fund, and portfolio company datasets across systems. They will also be responsible for executing daily/weekly data quality checks, identifying data anomalies, and validating deal-level data.
Requirements
- Bachelor’s degree in Finance, Economics, Data Analytics, Information Systems, or related field
- 2–5+ years of experience in data quality, investment operations, data governance, or analytics within Private Credit, Private Equity, or broader Alternative Investments
- Strong understanding of credit instruments, private equity deal structures, financial statements, and portfolio monitoring metrics
- Proficiency in Excel and SQL; experience with data validation and reconciliation techniques
- Excellent analytical, communication, and problem-solving skills