S&P Global Off Campus Drive 2026
S&P Global
ExperienceFreshers
QualificationBBA/BMS/BCom/PGDM/MBA
Skills & Eligibility
- Apprentice, Data Operations:
- Fresh graduates with a BBA/BMS/BCom background from the 2026 batch.
- PGDM/MBA candidates specializing in Finance from the 2026 or 2027 batch.
- Strong understanding of corporate finance and accountancy.
- Understanding of financial statements and annual reports.
- Excellent written and verbal communication skills.
- Proficiency in MS Office, particularly Excel, Word, and PowerPoint.
- Strong quantitative, analytical, and interpretive skills.
- Ability to adapt to different time zones and business requirements.
- Willingness to work rotational shifts, including night shifts.
- Candidates must not already be registered as apprentices on the NAPS portal.
- Candidates should not have an active UAN/PF account.
- Fresh graduates with a BBA/BMS/BCom background from the 2026 batch.
- PGDM/MBA candidates specializing in Finance from the 2026 or 2027 batch.
- Strong understanding of corporate finance and accountancy.
- Understanding of financial statements and annual reports.
- Excellent written and verbal communication skills.
- Proficiency in MS Office, particularly Excel, Word, and PowerPoint.
- Strong quantitative, analytical, and interpretive skills.
- Ability to adapt to different time zones and business requirements.
- Willingness to work rotational shifts, including night shifts.
- Candidates must not already be registered as apprentices on the NAPS portal.
- Candidates should not have an active UAN/PF account.
- The job description requires proficiency in MS Office.
- Excel is particularly relevant for working with structured financial data.
- Candidates should revise:
- Sorting and filtering.
- Basic formulas.
- Conditional logic.
- Lookup functions.
- Pivot tables.
- Data formatting.
- Basic charts.
- Word and PowerPoint may also be useful for documentation and communication.
- The position requires strong quantitative, analytical, and interpretive skills.
- Candidates should be comfortable analyzing numerical information, identifying inconsistencies, interpreting business data, and drawing conclusions from available evidence.
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