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Strong Tier-1 brand plus a generalist entry-level data role attracts many applicants.
Core data skills are transferable but preference for finance/market domain knowledge raises moderate industry specificity.
Degree, finance-domain familiarity, basic SQL/Excel and shift availability create moderate screening filters.
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Execute end-to-end data lifecycle activities for assigned datasets/workflows including data sourcing, validation, basic enrichment, and delivery according to SOPs and guidelines.
Meet daily and weekly production and quality targets, perform accurate data recording, and escalate issues or deviations promptly.
Contribute to process improvement initiatives and participate in automation and AI-assisted pilots to enhance efficiency and quality.
Bachelor's or Master's degree in Finance, Economics, or Commerce; targeted towards 2025/2026 graduates (Fresher).
Familiarity with structured and unstructured data formats and beginner knowledge of SQL/Excel for data querying and reconciliation.
Willingness to work in rotational shifts including night shifts as per business requirements.
Work Experience Required: Not explicitly mentioned in the JD.
Comfortable working under strict SOPs and governance standards with operational discipline and quality-first approach.
Capable of collaborating closely with teams for issue resolution and updates, indicating a structured and process-driven working style.
Able to quickly learn enterprise data capture tools and adapt to AI-enabled workflows, showing openness to technological adoption.