The Data Quality Analyst monitors and validates investment and borrower datasets, performs data quality checks, collaborates cross-functionally, manages data issues, and prepares reporting documentation.
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).
- 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).
- 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.
- 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.
- Prepare data quality dashboards, metrics, and status updates for management.
- Document data standards, data dictionaries, lineage, and workflows for Private Credit & PE datasets.
- 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.
- 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.
Top Skills
Allvue
Black Mountain/Alm
Excel
Ilevel
Power BI
Salesforce
Snowflake
SQL
Tableau
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