S&P Global Data Analyst Hiring position in Ahmedabad, India. The role is designed for fresh graduates who are interested in data management, financial information, research workflows and data quality.
The position involves collecting and cleansing data, performing basic validation, following standard operating procedures and supporting the complete data lifecycle under guidance.
Candidates will also get exposure to Excel, SQL, AI-assisted workflows and GenAI tools, making the role relevant for graduates looking to begin a career in data analytics and financial data operations.
S&P Global Data Analyst Hiring – Overview
| Particular | Details |
|---|---|
| Company | S&P Global |
| Job Title | Data Analyst |
| Job ID | 331172 |
| Job Location | Ahmedabad, India |
| Department | Data Management |
| Experience | Fresher |
| Batch | 2025 & 2026 Passouts |
| Qualification | Bachelor’s / Master’s Degree |
| Eligible Streams | Finance, Economics, Commerce |
| Job Area | Data Management / Data Analytics |
| Key Skills | Excel, Basic SQL, Data Validation, Communication |
| Additional Skills | GenAI, Data Lifecycle, Data Cleansing |
| Shift | Rotational Shift, including night shift |
| Salary | ₹4 LPA – ₹7 LPA (Estimated) |
Salary is an estimated market reference for entry-level S&P Global Data Analyst roles and is not the confirmed compensation for this specific vacancy.
About the S&P Global Data Analyst Role
The Data Analyst position is an individual contributor role focused on developing foundational skills in data workflows and datasets.
The selected candidate will support different stages of the data lifecycle, including sourcing, validation, enrichment and delivery. Work will be performed according to established SOPs, guidelines and quality checks.
The role is particularly suited to candidates who enjoy working with structured information, financial data and research-based workflows.
Key Responsibilities
The selected candidate will be responsible for:
- Collecting and extracting data from different sources.
- Cleansing assigned datasets.
- Performing data sourcing, tagging, loading and basic enrichment.
- Following established SOPs and validation checks.
- Using approved manual and AI-assisted methods for data activities.
- Maintaining accurate production records.
- Adding clear notes for traceability and handovers.
- Monitoring assigned queues.
- Identifying data gaps, delays and unusual patterns.
- Escalating unclear or unusual inputs to senior team members.
- Meeting daily and weekly quality and production targets.
- Maintaining supporting evidence for issues.
- Supporting basic root-cause analysis.
- Maintaining audit-ready documentation.
- Following governance and control requirements.
- Suggesting small process improvements.
- Participating in automation and AI-assisted workflows.
Eligibility
The vacancy specifically mentions freshers from the 2025 and 2026 passout batches.
Candidates should have a:
- Bachelor’s degree, or
- Master’s degree
in fields such as:
- Finance
- Economics
- Commerce
Candidates should also have good written and verbal communication skills.
Since the role can involve rotational shifts, including night shifts, candidates should be comfortable working according to business requirements.
Skills Required
Excel
Candidates should have beginner-level Excel knowledge for filtering, querying and reconciling information.
SQL
Basic SQL knowledge is useful for working with datasets and performing simple data queries.
Data Validation
Candidates should be comfortable checking information for accuracy, consistency and completeness.
Data Cleansing
The role involves working with information from structured and unstructured sources and preparing it for further use.
Financial & Market Data
A basic understanding of financial, market or domain data can be useful for the assigned workflow.
GenAI & Automation
The position provides exposure to AI-assisted methodologies and GenAI tools under approved usage guidelines.
Communication
Good written and verbal communication is important for documenting issues, sharing updates and coordinating with team members.
Work Culture
The role is process-oriented and data-focused, with strong emphasis on accuracy, documentation and quality.
Candidates will work with data research teams, participate in team discussions and receive feedback on their work. The position also encourages small process improvements and exposure to AI-assisted workflows.
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Interview Experience
The supplied vacancy does not mention a fixed interview pattern.
Candidates should prepare around:
- Basic Excel
- SQL fundamentals
- Data validation
- Data cleansing
- Financial data basics
- Logical reasoning
- Communication
- Attention to detail
- Situational problem-solving
- Basic GenAI awareness
Candidates should also be ready to explain their academic projects and any experience working with Excel, financial data or research-based assignments.
What Should Candidates Prepare?
Excel
Revise:
- Sorting and filtering
- Basic formulas
- Data validation
- Lookup functions
- Pivot Tables
- Data reconciliation
SQL
Focus on basic concepts such as:
- SELECT
- WHERE
- GROUP BY
- ORDER BY
- JOIN
- Basic aggregations
Data Quality
Understand how to identify:
- Missing information
- Duplicate records
- Incorrect values
- Inconsistent formats
- Data gaps
Financial Data
Finance and Commerce graduates should revise basic concepts related to financial statements, markets and business information.
GenAI
Candidates should understand the basic use of AI tools for research, data-related workflows and productivity while following organizational guidelines.
Selection Process
The exact selection process has not been specified in the supplied job description.
Depending on the hiring process, candidates may go through application screening, assessment and interview rounds.
The actual process can vary, so candidates should follow the instructions provided during the application.
Who Can Apply?
This opportunity can be relevant for candidates who:
- Are 2025 or 2026 passouts.
- Are freshers.
- Have a Bachelor’s or Master’s degree.
- Have studied Finance, Economics or Commerce.
- Have basic Excel knowledge.
- Have beginner-level SQL knowledge.
- Have good communication skills.
- Have an interest in financial or market data.
- Have strong attention to detail.
- Are comfortable working with structured and unstructured data.
- Are willing to work rotational shifts, including night shifts.
Career Scope
This role can provide a foundation for careers in:
- Data Analytics
- Financial Data Analysis
- Data Management
- Research Operations
- Business Analytics
- Data Quality
- Financial Research
- Data Operations
Candidates can improve their career prospects by developing skills in advanced Excel, SQL, Power BI, Python, financial analytics and data visualization.
Frequently Asked Questions
What is the S&P Global Data Analyst job?
It is an entry-level data management role involving data collection, cleansing, validation, enrichment and delivery.
Where is the position located?
The role is based in Ahmedabad, India.
Can freshers apply?
Yes. The vacancy specifically mentions freshers from the 2025 and 2026 passout batches.
What qualification is required?
A Bachelor’s or Master’s degree in Finance, Economics, Commerce or a related field is mentioned.
Is SQL required?
Beginner-level SQL knowledge is mentioned as a technical skill.
Is Excel required?
Yes. Candidates should have basic Excel knowledge for querying, filtering and data reconciliation.
Are night shifts involved?
The vacancy states that candidates should be willing to work in rotational shifts, including night shifts, depending on business requirements.
What is the salary?
The exact salary is not disclosed in the supplied vacancy. The Overview provides an estimated market range for reference rather than a confirmed package.
How to Apply for S&P Global Data Analyst
Interested candidates should review the latest vacancy details and submit their application through the company’s official careers platform.
Don’t miss this opportunity!
Candidates should verify the latest eligibility requirements and vacancy status before applying.
Disclaimer: JobsMind.in is an independent career-information website and is not affiliated with S&P Global. Job details, eligibility requirements, compensation and vacancy status may change. Salary information shown in the overview is an estimated market reference and should not be considered the confirmed package for this vacancy. Candidates should verify the latest information before applying.
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