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Strong employer brand, popular generalist data title, and entry-to-mid experience band increase applicant competition.
Role requires financial dataset familiarity increasing domain specificity, though SQL/Excel skills remain transferable across industries.
Explicit 0-3 years plus mandatory SQL/Excel and financial-data expectations create moderate filtering of candidates.
Manage end-to-end data lifecycle tasks for Compustat Fundamentals datasets including sourcing, basic validation, enrichment, and delivery following SOPs.
Ensure data quality by performing first-level validation checks, documentation, and escalation of anomalies to maintain integrity of global financial datasets.
Contribute to process improvements by identifying minor operational issues and suggest enhancements; support UAT and day-to-day solutioning.
Bachelor's degree in Finance, Commerce, Economics, Accounting, or related field from an accredited institution.
0-3 years of experience in financial data operations, research, or related analytical roles (including internships and fresh graduates).
Familiarity with structured and unstructured data sources (Excel, PDFs, filings, news, vendor feeds) and basic SQL/Excel skills for querying and reconciling data.
Work Experience Required: 0-3 years including internships and fresh graduates.
Operates effectively under established SOPs with strong attention to detail and operational discipline to meet SLAs and maintain data accuracy.
Comfortable with repetitive operational tasks and uses digital tools and automation (including GenAI awareness) to improve efficiency.
Demonstrates quick learning ability with financial dataset concepts and collaborates well within data research and operational teams under guidance.