Mangement Trainee

Role Purpose

The purpose of the role is to provide effective technical support to the process and actively resolve client issues directly or through timely escalation to meet process SLAs.
 

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• 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 
  f
  inancial 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 
  f
  inancial 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 

͏

• 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 
  f
  inancial 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 
  f
  inancial 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 

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Deliver