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Strong Tier-1 brand plus a generalist, early-career data role increases applicant competition.
Role needs financial-data domain knowledge plus transferable SQL/Excel skills, making industry fit moderately important.
Explicit 0–3 years requirement, finance domain knowledge, and mandatory SQL/Excel create moderate shortlisting filters.
Perform end-to-end operational data activities including sourcing, basic validation, cleansing, enrichment, and delivery of Compustat Fundamentals datasets as per SOPs and timelines.
Ensure data quality by conducting first-level validation checks for completeness and accuracy, escalating exceptions with evidence and recommended solutions.
Collaborate with teams to maintain documentation, enable traceability, and contribute to continuous process improvements and adoption of automation/AI tools.
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/unstructured data formats and beginner knowledge of SQL/Excel for querying and data reconciliation.
Work Experience Required: 0-3 years in relevant financial data or analytical roles.
Has operational discipline with strong attention to detail in managing financial data lifecycle tasks under strict SOPs.
Comfortable working with financial data, including reading financial statements and applying business rules for validation.
Able to learn and adapt quickly to enterprise data tools, workflow systems, and evolving automation technologies, contributing to incremental process improvements.