Exciting career opportunity ahead! S&P is hosting an off-campus drive to recruit talented freshers and young professionals for the S&P Global Off Campus Hiring 2026 – Data Analyst | Ahmedabad / Hyderabad / Bangalore / Gurgaon | Apply Online role. Go through the complete breakdown below regarding eligibility, core roles, operational responsibilities, and application details.
| Company | S&P |
|---|---|
| Category | IT |
| Job Type | Full time |
| Location | Pan India |
| Experience | Fresher |
| Batch Eligible | Any Graduate |
| Course | Any Graduation |
S&P Global Commodity Insights provides a comprehensive view of global energy and commodities markets, enabling customers to make confident, data-driven decisions. The company connects market participants, governments, regulators, and industry leaders to deliver insights that support long-term, sustainable growth. Its coverage spans oil and gas, power, chemicals, metals, agriculture, and shipping, playing a critical role in navigating the global energy transition.
The expected salary for the S&P Global Off Campus Hiring 2026 – Data Analyst | Ahmedabad / Hyderabad / Bangalore / Gurgaon | Apply Online position at S&P will depend on your skills, qualifications, interview performance, and company compensation policies. Freshers selected for this role may also receive additional benefits such as performance incentives, health insurance, paid leave, training programs, and other employee benefits based on company policy.
As a Data Analyst, you will support the accuracy, integrity, and completeness of datasets by using internal and external research sources such as government and regulatory documents, stock exchanges, industry journals, analyst reports, and internal research tools. The role focuses on collecting, summarizing, and synthesizing relevant data to deliver high-quality insights to clients. Over time, you will also work on process improvement initiatives, automation projects, and workflow enhancements.
Eligibles can apply for this drive online by clicking the link below. All upcoming interview details, exam schedules, and shortlisting updates will be sent directly to your registered email address.
👉 Click Here to Apply: S&P Official website
S&P provides an excellent learning environment where employees can improve their technical and professional skills while working on real-world IT projects as a S&P Global Off Campus Hiring 2026 – Data Analyst | Ahmedabad / Hyderabad / Bangalore / Gurgaon | Apply Online.
Joining S&P as a S&P Global Off Campus Hiring 2026 – Data Analyst | Ahmedabad / Hyderabad / Bangalore / Gurgaon | Apply Online provides an excellent opportunity to work with modern technologies, experienced professionals, and real-world projects. It also helps fresh graduates build technical expertise and accelerate long-term career growth in the IT industry.
No. S&P is hiring freshers for this role. Candidates who meet the eligibility criteria and perform well during the selection process are encouraged to apply.
The salary package for the S&P Global Off Campus Hiring 2026 – Data Analyst | Ahmedabad / Hyderabad / Bangalore / Gurgaon | Apply Online role at S&P is based on company standards, candidate skills, qualifications, interview performance, and overall experience. Additional benefits may also be provided according to company policy.
This position is based in Pan India. Selected candidates should be willing to work from or relocate to Pan India. You can also explore more jobs in Pan India .
The selection process generally includes an online application, aptitude or technical assessment (if applicable), technical interview, HR interview, and final document verification. The exact process may vary depending on the company and role.
Eligible candidates can apply through the official recruitment portal of S&P. Simply scroll to the "How To Apply" section above and click the official application link to complete your registration.
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Expand your search by exploring active off-campus opportunities, specialized training domains, and regional hiring hubs tailored for the 2026 batch.