Data Quality Analyst

Key Responsibilities

Data 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.
  
  

Qualifications

Required

• 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.
• 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.