Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Generalist data analyst title with common SQL skills and mid-level experience yields moderate candidate competition.
Fund accounting and financial reporting emphasis raises domain specificity and favors finance-experienced candidates.
Explicit 3–8 years, mandatory SQL, and finance-domain requirements make shortlisting highly selective.
Own detailed understanding and documentation of Fund Accounting data processes, including data creation, transformation, reconciliation, and consumption.
Translate Fund Accounting requirements into clear, testable business, data, integration, and reporting specifications for delivery teams.
Lead data profiling, reconciliation, validation, and testing efforts, coordinating across multiple teams to ensure scalable and governed data solutions.
Bachelor's degree in Finance, Accounting, Information Systems, Computer Science, Engineering, Data Analytics, or related field (or equivalent experience).
3 to 8 years of experience in technical data analysis, data-focused business analysis, financial data, accounting technology, or similar roles in a controlled enterprise environment.
Strong SQL skills (preferably SQL Server) and advanced Excel proficiency for data profiling, reconciliation, and validation.
Experience defining detailed business, data, reporting requirements, and performing data-quality analysis, testing, and UAT.
Experienced in bridging business and technology teams in financial or fund accounting data contexts, ensuring traceability and ownership across delivery lifecycle.
Skilled at structured data analysis, root-cause investigations, and translating manual investigations into governed, repeatable data solutions.
Familiar with fund accounting or asset management domain and enterprise data/reporting ecosystems, with exposure to tools like Databricks, Python, Power BI, or Azure data services.