
S&P Global is hiring interns for the Apprentice – Data Operations role in Ahmedabad, India. This opportunity offers fresh graduates the chance to build a strong foundation in finance, analytics, and global data operations. Explore the details below and learn how to apply!
About S&P Global
S&P Global is one of the world’s leading providers of financial intelligence, analytics, and market insights. Headquartered in New York, the company operates in over 40 countries, delivering data that helps businesses, investors, and governments make confident decisions.
Through its flagship divisions—S&P Global Ratings, Market Intelligence, Commodity Insights, and Dow Jones Indices—the organization turns complex information into actionable insights.
What makes S&P Global stand out is its commitment to “Powering Global Markets”—combining innovation, integrity, and expertise to transform raw data into meaningful intelligence that drives progress across the financial world.
Internship Overview
• 📌 Position: Apprentice, Data Operations
• 📍 Location: Ahmedabad, India
• 🗓 Duration: 12 months (full-time apprenticeship program)
This apprenticeship offers a real-world learning experience inside one of the most respected global data organizations. You’ll join a team that works on financial research, data validation, and global market insights—gaining hands-on exposure to data-driven decision-making.
The program is designed to bridge the gap between academics and the professional world, helping you understand how accurate data fuels global markets.
Roles & Responsibilities
As a Data Operations Apprentice, you’ll play an active role in supporting the team’s data accuracy and content quality.
Your key tasks will include:
• Collecting and analyzing financial and corporate data from reliable sources such as regulatory filings and industry reports.
• Maintaining datasets related to market trends, company transactions, and capital markets.
• Performing data entry and validation in accordance with S&P Global’s quality standards.
• Collaborating with cross-functional teams to resolve data issues and improve workflow efficiency.
• Supporting audit requests and documenting process improvements.
• Responding promptly to team emails and contributing ideas for workflow enhancements.
• Participating in knowledge-sharing sessions and global data projects to build a broader industry perspective.
💡 Pro Tip: Treat every task as a data-storytelling opportunity. Learn how numbers connect to markets—this mindset can accelerate your career growth in finance and analytics.
Qualifications & Eligibility
• Recent graduate (2025 batch) in Commerce, BBA, BMS, BCom or PGDM/MBA (Finance).
• Strong understanding of financial statements and corporate reporting.
• Good command over MS Excel, Word, and PowerPoint.
• Excellent communication skills and attention to detail.
• Ability to work in rotational shifts (24×5 environment including night shifts).
• Analytical mindset with curiosity to understand how data shapes markets.
• Must be legally eligible to work in India without sponsorship.
🎯 Insight: Showcase any experience with Excel formulas, data visualization, or financial research projects on your resume—S&P Global values practical data skills as much as academic excellence.
Benefits & Perks
S&P Global ensures its apprentices receive meaningful exposure and career support through a variety of benefits:
• Pay: Competitive monthly stipend (based on location and role level).
• Continuous Learning – Access to premium training modules and industry courses.
• Global Networking – Collaborate with professionals across 35,000+ employees worldwide.
• Health & Wellness Programs – Comprehensive coverage for mental and physical health.
• Flexible Downtime – Paid time off to rest and recharge.
• Career Growth – Top performers are considered for permanent roles or global assignments.
• Inclusive Culture – Work in a diverse, collaborative environment that values ideas and innovation.
Important Dates
• 🗓 Application Deadline: Apply as soon as possible
• 📅 Start Date: Check It Below
How to Apply
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