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Tier-1 brand plus an entry-level, generalist data role increases candidate density.
Requires corporate finance and financial-statement domain knowledge, limiting cross-industry transferability.
Mandatory recent-graduate passing years, commerce/finance background, and apprenticeship eligibility create strict filters.
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Collect, analyze, and input high-quality financial data using internal and external research sources, ensuring dataset integrity and comprehensiveness.
Understand dataset workflows and operate work tools effectively while meeting individual and team quality and excellence targets.
Support process improvements and troubleshooting within the data operations team, maintaining timely communication and adaptability to new learnings.
Must be a fresh graduate with Commerce background (BBA/BMS/BCom, passing year 2026) or PGDM/MBA in Finance (passing year 2026 or 2027).
Willingness to work rotational shifts in a 24x5 environment, including night shifts.
Strong understanding of corporate finance, accountancy, and financial statements.
Must not be registered on NAPS as apprentice or have active UAN/PF account.
Comfortable working in a shift-based, fast-paced environment with a focus on data quality and accuracy.
Capable of handling structured financial data research and synthesizing information from diverse documents and sources.
Able to adapt quickly to new workflows and tools, contributing to process improvements in the data operations domain.