🌐 S&P Global, a global leader in financial information and analytics, is hiring fresh graduates as Apprentices in Data Management through its Off Campus Drive 2025. This opportunity is open for candidates from the 2022, 2023, 2024, and 2025 batches who hold a bachelor’s degree in commerce, economics, or business administration. As an apprentice, you’ll dive into global data systems, manage critical market information, and contribute to high-quality research processes. Positions are available in Bangalore, Hyderabad, Ahmedabad, and Gurgaon, offering a promising gateway to careers in data research, corporate finance, and market analytics.
| S&P Global | |
| Job Role | Apprentice, Data Management |
| Qualification | Bachelor’s degree |
| Batch | 2022/2023/2024/2025 |
| Experience | Freshers |
| Salary | ₹ 3 to 5 LPA |
| Location | Bangalore, Hyderabad, Ahmedabad & Gurgaon |
| Last Date | ASAP |
| Apply Link Below | |
|---|---|
✅ Eligibility Criteria
🎓 Education: BBA, MBA, B.Com, M.Com, B.Sc Eco., M.Sc Eco.
📅 Graduation Year: 2022, 2023, 2024, 2025
🔍 Skills Required:
- Strong communication (written & oral)
- Basic understanding of corporate finance/accounting
- Willingness to work in 24×5 rotational shifts
- Comfort with hybrid work environments
🛠️ Job Description
🔹 Collect and analyze both financial and non-financial data
🔹 Work with regulatory filings, reports, news feeds, and internal systems
🔹 Understand data workflows and help improve collection techniques
🔹 Ensure data accuracy and quality control
🔹 Support troubleshooting and process enhancements
🔹 Collaborate with various business lines such as:
- Market Data & Estimates
- Fundamentals & Compustat
- M&A and Private Equity Analytics
- Corporate & Reference Data
- Key Developments & Global Events
🌟 Why Join S&P Global?
💼 Work with one of the world’s leading financial data firms
📊 Gain hands-on exposure to market intelligence and analytics
🌍 Be a part of a global team and learn best practices in data
🔄 Flexible hybrid working model with rotational shifts
📈 Excellent career launchpad for roles in finance, research, and analytics
🏢 About S&P Global
S&P Global is a world-renowned provider of financial information, market analytics, and credit ratings. With a strong footprint in India and across global financial hubs, S&P empowers professionals to make informed decisions through actionable insights and accurate data. Working here offers direct exposure to global markets, capital trends, and data integrity tools.
📌 Additional Highlights
🔍 Business Lines Covered: Data Analytics, Market Research, M&A, Private Equity, Corporate Structures
📚 Training & Development: Extensive onboarding and ongoing learning
🌍 Work Culture: Diversity, inclusion, and global collaboration
📝 How to Apply?
Interested and eligible candidates can apply online through the official application link:
| Jobs by Qualification | |
| B.Tech | BBA |
| B.Sc | B.Com |
| M.Sc | M.Com |
| MCA | MBA |
| BCA | M.Tech |
💬 Top 5 Interview Questions & Sample Answers
1. Q: What is the difference between qualitative and quantitative data?
A: Quantitative data is numerical and measurable, such as financial ratios, while qualitative data includes descriptive details like company strategy or leadership reviews.
2. Q: How would you handle data discrepancies while entering records?
A: I would verify data from the original source, consult documentation, flag inconsistencies, and collaborate with peers or seniors to ensure accuracy.
3. Q: What are financial statements, and why are they important?
A: Financial statements include the income statement, balance sheet, and cash flow statement. They provide insight into a company’s financial health and performance.
4. Q: How do you stay organized while working with large data sets?
A: I use spreadsheets with filters, consistent formatting, and version control to manage and track large datasets efficiently.
5. Q: Explain the significance of market estimates.
A: Market estimates help investors predict future performance, aiding in decision-making and risk assessment through consensus forecasting.
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