About the role

Job Description

Overview:

This role will support Private Equity enterprise data with a focus on reconciling, validating, and standardizing historical and ongoing datasets. The role centers on cash activity data, portfolio company financial data, and other key operational datasets that require high accuracy, completeness, and governance oversight. This position is an analyst-level role, and requires strong analytical skills, attention to detail, and the ability to work within structured data workflows.

Key Responsibilities

Reconcile historical and current data, including cash activity and portfolio company financial data, across multiple internal and external sources.
Perform backfilling of historical data to ensure completeness and alignment with current standards.
Validate data accuracy, investigate discrepancies, and coordinate resolution with relevant teams.
Ensure timely data uploads, reconciliation cycles, and documentation of exceptions.
Apply data governance standards, including naming conventions, quality controls, lineage tracking, and audit requirements.
Monitor data quality metrics and maintain standardized reporting across datasets.
Provide regular status updates on reconciliation progress, issues, blockers, and expected timelines.
Collaborate with key stakeholders to support data-related initiatives.
Contribute to process improvements for data quality, reconciliation efficiency, and automation opportunities.

Qualifications

Bachelor’s degree in Finance, Accounting, Data Science, Engineering, or a related discipline.
1–3 years of experience in data reconciliation, data governance, data operations, or financial data analysis.
Strong analytical and problem-solving skills with a high attention to detail.
Experience working with large datasets and structured data environments.
Proficiency in Excel and familiarity with SQL or other query tools (preferred).
Understanding of financial statements, cash movements, and portfolio company reporting (preferred).
Familiarity with private equity is a plus.
Familiarity with 73Strings is a plus.
Strong communication skills and the ability to provide clear and concise status updates.
Ability to work independently, manage priorities, and meet tight deadlines in a fast-paced environment.

Competencies

Data accuracy and quality orientation
Process discipline and documentation
Logical and structured thinking
Proactive issue identification and remediation
Collaboration across teams and time zones