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.
- 4–8 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
Apply through whichever channel suits you best.