Data Quality Analyst

5 days ago

Noida, Uttar Pradesh, India Clearwater Analytics Full time
Key ResponsibilitiesData Quality Management
  • Monitor, validate, and reconcile investment, borrower, fund, and portfolio company datasets across systems (GP and investment portals, CRM, portfolio monitoring platforms, client's fund accounting systems, data warehouses).
  • Execute daily/weekly data quality checks: completeness, consistency, timeliness, accuracy, referential integrity, and conformity to data standards.
  • Identify data anomalies (e.g., cashflow missing / mismatches, NAV validation, document collection and categorization, covenant terms inconsistencies, capital structure errors, valuation discrepancies).
Private Credit & Private Equity Data Oversight
  • Validate deal-level data: deal terms, financial statements, covenants, instrument characteristics, interest rate details, waterfalls, fund structures, and capital calls.
  • Support ingestion and validation of third-party data (administrators, agents, rating agencies, market providers).
Cross-Functional Collaboration
  • Work with client and operations teams to clarify data definitions (deal attributes, credit metrics, performance indicators).
  • Partner with client servicing and operations teams to align valuation, cashflow, and ownership data.
  • Collaborate with engineering teams on data pipelines, quality rules, and metadata management.
Issue Management & Continuous Improvement
  • Maintain a data issue log; triage issues and drive root-cause analysis.
  • Develop and implement new data quality rules, exception reports, and validation controls.
  • Recommend process and system enhancements to reduce manual intervention and improve efficiency.
Reporting & Documentation
  • Prepare data quality dashboards, metrics, and status updates for management.
  • Document data standards, data dictionaries, lineage, and workflows for Private Credit & PE datasets.
QualificationsRequired
  • Bachelor's degree in Finance, Economics, Data Analytics, Information Systems, or related field.
  • 0 - 2 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.
  • Ability to interpret investment documents (term sheets, credit agreements, fund docs) is a strong plus.
  • Excellent analytical, communication, and problem-solving skills.
Preferred
  • Experience with systems such as iLEVEL, AllVue, Black Mountain/ALM, Salesforce, Snowflake, Power BI/Tableau, or similar.
  • Exposure to data governance frameworks (e.g., DAMA, DQ standards).
  • Knowledge of fund accounting and private markets valuation processes.

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