Fund Data Analyst

  • Location: New York, NY
  • Type: Perm (Contingency)
  • Job #33747
  • Salary: $80,000

Compensation: $80,000 – $110,000 + bonus
Location: New York City

Job Overview:
The Fund Data Analyst collects, analyzes, and reports fund data to support investment decision-making and provide stakeholder insights. In this role, you will collaborate closely with cross-functional teams to ensure accurate and timely reporting.

As a Fund Data Analyst you will be responsible for —

  • Collecting, validating, and analyzing fund data to produce accurate and comprehensive reports 
  • Developing and maintaining data models, dashboards, and visualizations to present fund performance metrics 
  • Collaborating with internal stakeholders to understand reporting requirements and deliver actionable insights 
  • Conducting data quality checks and resolving any data discrepancies 
  • Assisting in the preparation of investor communications, presentations, and ad-hoc requests 
  • Staying updated on industry best practices and regulatory requirements related to fund reporting and analytics 

To be considered for the Fund Data Analyst opportunity you should have —

  • Bachelor's degree in Finance, Economics, or a related field (Master's degree preferred) 
  • 2+ years of experience in fund data reporting, analytics, or related roles 
  • Strong knowledge of investment products, fund structures, and industry standards 
  • Proficiency in data analysis, data manipulation, and reporting tools (e.g., SQL, Excel, Tableau)
  • Knowledge of regulatory requirements (e.g., SEC, UCITS) is a plus 


  • Competitive compensation package
  • Opportunities for professional development and growth
  • Comprehensive benefits package
  • Collaborative and dynamic work environment

Application Note: Qualified candidates will be contacted within 2 business days of application. If an applicant does not meet the above criteria, we will keep your resume on file for future opportunities and may contact you for further discussion.

#LI-DNP | #LI-Onsite

Attach a resume file. Accepted file types are DOC, DOCX, PDF, HTML, and TXT.

We are uploading your application. It may take a few moments to read your resume. Please wait!

Job ID: 33747