Demo

Data Analyst - US

Ness Digital Engineering
NJ Full Time
POSTED ON 3/9/2025
AVAILABLE BEFORE 6/8/2025

Description

Job Summary :

We are seeking a highly skilled Data Analyst with experience in the investment lifecycle , preferably in asset allocation and portfolio attribution reporting . The ideal candidate will play a critical role in identifying and resolving upstream data issues within client systems to ensure seamless alignment with the data model and reporting structures.

Key Responsibilities :

  • Conduct a comprehensive inventory of upstream data issues across systems.
  • Perform root cause analysis to determine why issues occur, collaborating with stakeholders across business and tech teams.
  • Work closely with technology teams to design and implement data fixes
  • Assist in structuring reports and analytics to align with existing data model .
  • Map business processes and their relationship to data structures.
  • Understand how data flows across systems and how it impacts reporting and analytics.
  • Act as a liaison between business and technology teams to track issue resolution.

Required Qualifications :

  • Strong background in investment lifecycle data analysis , preferably with exposure to asset allocation and portfolio attribution reporting .
  • Experience working with financial services, asset management, or private equity firms is a plus.
  • Strong understanding of data structures, reporting frameworks, and financial data models .
  • Proficiency in SQL, Excel, and data visualization tools (Power BI, Tableau, etc.) .
  • Familiarity with data integration, mapping, and governance concepts.
  • Ability to work cross-functionally with technology, data, and business teams .
  • Strong problem-solving, communication, and stakeholder management skills .
  • Experience managing and prioritizing multiple initiatives with a structured approach.
  • Preferred Qualifications :

  • Experience in data migration or integration projects within financial institutions.
  • Exposure to ETL tools, cloud-based data platforms, and investment analytics systems .
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