S&P Global Apprentice - Data Analyst Jobs 2026
Financial Operations | Multiple Locations
Job Overview
S&P Global is hiring Apprentice - Data Analyst professionals for its Enterprise Data and Financial Operations teams across Ahmedabad, Gurgaon, and Mumbai locations.
This opportunity is designed for fresh graduates who are interested in financial data operations, analytics, research, reporting, and business process management. Selected candidates will work on financial data collection, research analysis, reporting workflows, billing operations, and business intelligence activities while collaborating with global teams.
💡 Why this role?
The role provides strong exposure to finance operations, data management, reporting tools, and analytical processes in a global corporate environment, serving as an excellent launchpad for your career in data analytics.
Roles & Responsibilities
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Collect, analyze, and extract critical financial data from comprehensive reports and diverse company documents.
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Maintain impeccably high-quality data entry and ensure workflow accuracy in fast-paced production environments.
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Support detailed reporting, billing, and global financial operations activities, assisting in process optimization and workflow improvements.
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Troubleshoot operational and data-related issues dynamically, participating in essential data validation and quality assurance activities.
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Coordinate efficiently with multiple internal business teams and monitor global industry publications, working in rotational shifts based on business requirements.
Eligibility Criteria
Education
BBA / BMS / BCom graduates (Passing Year 2025). MBA / PGDM / M.Com candidates specializing in Finance or Accounts (Passing Year 2025 or 2026).
Experience
Strictly Freshers only. Candidates should not have an existing Provident Fund (PF) or UAN account to be eligible.
Technical & Core Competence
Fundamental understanding of finance, financial statements, and accounting concepts. Proficiency in MS Excel, Word, and PowerPoint. Strong analytical thinking and readiness to work dynamically across rotational shifts.
How to Apply
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