Finance Data & AI Associate: Automate & Analyze

Private Equity

Boston (MA)

Vor Ort

USD 85.000 - 110.000

Vollzeit

vor 9 Stunden
Sei unter den ersten Bewerbenden
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Zusammenfassung

Private Equity seeks a Financial Data & AI Associate to join a growing data function within our investment organization. This is an excellent opportunity for a finance professional who wants to transition into data, automation, and AI while leveraging their accounting or investment experience.

You will build dashboards, workflows, and analytical tools using Power BI, SQL, Python, Alteryx, and AI tools, and partner with Finance, Technology, and Investment teams to improve data quality and

Qualifikationen

  • 2+ years of experience in fund accounting, financial reporting, investment operations, public accounting, or a related field.
  • Strong interest in data, analytics, automation, and AI.
  • Analytical, detail-oriented, proactive, and curious.
  • Strong communication and problem-solving skills.

Aufgaben

  • Provide financial data and analysis to Investor Relations, investment teams, and senior leadership.
  • Identify manual processes and develop automated solutions.
  • Build dashboards, workflows, and analytical tools using Power BI, SQL, Python, Alteryx, and AI tools.
  • Partner with Finance, Technology, and Investment teams to improve data quality and processes.
  • Take ownership of projects from idea through implementation.

Kenntnisse

Analytical thinking
Attention to detail
Communication
Problem-solving

Tools

Power BI
SQL
Python
Alteryx
AI tools

Jobbeschreibung

Private Equity seeks a Financial Data & AI Associate to join a growing data function within our investment organization. This is an excellent opportunity for a finance professional who wants to transition into data, automation, and AI while leveraging their accounting or investment experience.

You will build dashboards, workflows, and analytical tools using Power BI, SQL, Python, Alteryx, and AI tools, and partner with Finance, Technology, and Investment teams to improve data quality and

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