S&P Global Jobs for 2026 Batch | Hiring for Freshers | Data Analyst | Apply Now
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S&P Global Jobs for 2026 Batch : S&P Global is hiring freshers for the Data Analyst position. Candidates with qualifications such as BA, B.Sc, B.Com, BBA, MA, M.Sc, M.Com, or MBA can apply for this opportunity. The position is based in Ahmedabad and is open to candidates from the 2025 and 2026 graduating batches.
If you are a fresher looking to begin your career in data research, financial data, or analytics, this could be a good opportunity to start with a reputed organization. Interested candidates are advised to apply online at the earliest. The eligibility requirements, skills, responsibilities, and application process are provided below.
S&P Global Jobs for 2026 Batch Details
| Particulars | Details |
|---|---|
| Company Name | S&P Global |
| Job Role | Data Analyst |
| Job Category | Off-Campus Drive |
| Qualification | BA/B.Sc/B.Com/BBA/MA/M.Sc/M.Com/MBA |
| Batch | 2025 & 2026 |
| Experience | Freshers |
| Salary/CTC | Best in Industry |
| Job Location | Ahmedabad |
| Last Date to Apply | Apply ASAP |
Eligibility Criteria
Candidates interested in applying for the Data Analyst role should meet the following requirements:
- Candidates from the 2025 or 2026 graduating batches can apply.
- A Bachelor’s or Master’s degree in Finance, Economics, Commerce, or a related field is preferred.
- Candidates should have good written and verbal communication skills.
- Applicants should be comfortable working in rotational shifts, including night shifts, depending on business requirements.
- A basic understanding of financial data, market data, or other relevant domain concepts will be useful.
Technical Skills Required
Candidates should have a basic understanding of the following areas:
- Familiarity with both structured and unstructured data, including Excel files, PDFs, company filings, news articles, and vendor feeds.
- Basic knowledge of Excel and SQL for filtering, querying, comparing, and reconciling data.
- Awareness of automation and Generative AI tools and the ability to use approved tools according to established guidelines.
- Basic understanding of the data lifecycle, from sourcing and ingestion to validation and publishing.
Functional Skills
The role also requires candidates to demonstrate the following abilities:
- Perform data entry, tagging, and basic data enrichment with accuracy.
- Read and understand simple source documents such as company filings, news reports, and vendor-provided information.
- Identify exceptions and escalate issues with the relevant evidence and background information.
- Learn and work efficiently with enterprise data capture tools, workflow applications, and ticketing systems.
- Follow defined processes and maintain accuracy while working with large volumes of information.
Key Responsibilities
- Operational Delivery
- As a Data Analyst, selected candidates may be responsible for:
- Collecting, extracting, and cleaning data from both structured and unstructured sources.
- Performing data sourcing, tagging, loading, and basic enrichment activities according to established SOPs and validation rules.
- Carrying out daily data collection, extraction, and basic cleansing using approved manual and AI-assisted processes.
- Maintaining accurate production records in workflow and queue-management systems.
- Adding clear notes and information to ensure proper traceability and smooth handovers.
- Monitoring assigned work queues and informing senior team members about delays, missing information, blockers, or unusual data patterns.
- Following approved processes and escalating cases whenever the available information is unclear or does not match the defined guidelines.
- Meeting the required daily and weekly productivity and quality targets.
- Maintaining relevant logs and supporting information whenever an issue requires further investigation.
- As a Data Analyst, selected candidates may be responsible for:
- Process Excellence
- Employees in this role are also expected to:
- Maintain proper documentation that is ready for audits and follow established handover procedures.
- Comply with governance standards, internal controls, and documentation requirements.
- Implement quality feedback to minimize repeated mistakes and improve first-time accuracy.
- Identify simple opportunities for process improvement, such as checklists, prompts, or query templates, and share them for review.
- Participate in approved automation and AI-assisted projects aimed at improving efficiency, quality, and exception handling.
- Follow organizational policies while using automation and AI tools.
- Employees in this role are also expected to:
- Stakeholder Management
- The selected candidates will also work closely with their team and senior members to:
- Clarify requirements and resolve routine data-related issues.
- Provide regular updates regarding work volumes, delays, and operational challenges.
- Attend team meetings, daily huddles, and calibration sessions.
- Stay aligned with team priorities, quality standards, and process expectations.
- The selected candidates will also work closely with their team and senior members to:
About the Data Analyst Role
The Data Analyst position is an individual contributor role designed to help freshers build a strong foundation in data operations and research. The selected candidate will gradually develop expertise in one or more workflows or datasets.
The role involves supporting different stages of the data lifecycle, including data sourcing, basic validation, enrichment, and delivery. Candidates will work under established guidelines and SOPs and are expected to escalate unusual situations or deviations when required.
This position also focuses on developing data literacy, operational accuracy, industry knowledge, and process discipline. Employees may collaborate with other data research teams, contribute to user acceptance testing (UAT), assist with day-to-day problem-solving, and participate in process improvement initiatives.
S&P Global also encourages the use of technology and approved AI-enabled workflows to improve efficiency and data quality while maintaining proper governance.
How to Apply for S&P Global Recruitment 2026?
Candidates who meet the eligibility requirements and are interested in this opportunity can apply online through the official application link. Since applications may be reviewed on a rolling basis, eligible candidates are advised to apply as soon as possible.
Apply Link : Click Here
And also apply in HCLTech Off Campus Drive 2026
Conclusion
The S&P Global is a promising opportunity for fresh graduates from Finance, Economics, Commerce, and related academic backgrounds who want to begin their careers in data analytics and financial data operations. The Data Analyst role offers exposure to data collection, validation, research, automation, and AI-assisted workflows.
If you meet the eligibility criteria and are comfortable working in rotational shifts, consider applying for the position at the earliest.
FAQs for S&P Global Off Campus Drive 2026
1. What is the job role offered in S&P Global Off Campus Drive 2026?
S&P Global is hiring candidates for the Data Analyst position.
2. Who can apply for the S&P Global Data Analyst role?
Freshers from the 2025 and 2026 batches with qualifications such as BA, B.Sc, B.Com, BBA, MA, M.Sc, M.Com, or MBA can apply, particularly candidates with backgrounds in Finance, Economics, or Commerce.
3. Is S&P Global Off Campus Drive 2026 open to freshers?
Yes. The position is specifically open to freshers, including eligible graduates from the 2025 and 2026 batches.
4. Where is the S&P Global Data Analyst job located?
The job location mentioned for this opportunity is Ahmedabad.
5. What skills are useful for the S&P Global Data Analyst position?
Basic knowledge of Excel, SQL, data handling, financial or market data, structured and unstructured data, and AI/automation tools can be helpful. Good communication and attention to detail are also important.
