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Strong Tier-1 brand and broad entry-level data analyst title increase qualified applicant density.
Financial data focus raises domain specificity though SQL/Excel skills remain transferable across industries.
Explicit 0-3 year requirement plus basic SQL and finance skills creates moderate shortlisting rigidity.
Handle end-to-end data lifecycle tasks for Compustat Fundamentals datasets including sourcing, extraction, cleansing, validation, and delivery following SOPs.
Maintain data quality through first-level validation, metadata accuracy, and exception escalation to support global financial datasets covering public companies.
Contribute to process improvements and assist in UAT, collaborating closely with data research teams and ensuring documentation and traceability.
Bachelor's degree in Finance, Commerce, Economics, Accounting, or related field from an accredited institution.
0-3 years experience in financial data operations, research, or related analytical roles including internships and fresh graduates.
Proficiency with Excel and beginner knowledge of SQL for querying, filtering, and reconciling data.
Familiarity with structured/unstructured data formats (Excel, PDFs, filings, vendor feeds).
Candidates with practical understanding of financial statements (Balance Sheet, Income Statement, Cash Flow) and the ability to interpret source financial data accurately.
Operates effectively under established SOPs with strong operational discipline, attention to detail, and capacity to balance speed and accuracy.
Comfortable working in a data-intensive environment involving repetitive tasks and process adherence in a collaborative team setting.