What are the responsibilities and job description for the Data Analyst - US position at Ness Digital Engineering?
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
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.
- 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.
- Experience in data migration or integration projects within financial institutions.
- Exposure to ETL tools, cloud-based data platforms, and investment analytics systems.