S&P Global is hiring Data Analysts for its Data Management team in Hyderabad, India. This is an entry-level opportunity specifically suitable for 2025 and 2026 graduates with a Bachelor’s or Master’s degree in Finance, Economics or Commerce.
The role focuses on financial and private-market data, including processing financial documents, extracting and validating information, performing data quality checks, basic trend analysis and supporting automation initiatives.
S&P Global Data Analyst – Overview
| Particulars | Details |
|---|---|
| Company | S&P Global |
| Job Title | Data Analyst |
| Job Location | Hyderabad, India |
| Experience | Fresher |
| Batch | 2025 & 2026 |
| Qualification | Bachelor’s / Master’s Degree |
| Eligible Streams | Finance, Economics, Commerce |
| Department | Data Management |
| Grade Level | 07 |
| Job ID | 328671 |
| Employment Type | Not Specified |
| Work Mode | Not Specified |
| Work Shift | Rotational Shift, including Night Shift |
| Salary | Not Disclosed |
About the S&P Global Data Analyst Role
The Data Analyst position is an individual contributor, entry-level role designed to build foundational skills in data workflows and datasets.
The selected candidates will support the complete data lifecycle, including data sourcing, validation, enrichment and delivery. The work is performed according to established Standard Operating Procedures (SOPs), with exceptions escalated to the appropriate team.
A major part of the role involves working with Private Equity and financial documents, extracting relevant information and ensuring that the resulting datasets meet defined quality standards.
Key Responsibilities
The selected candidate will work on:
- Processing financial documents received from General and Limited Partners.
- Working with capital calls, distributions, financial statements and investment schedules.
- Accessing GP portals and repositories.
- Downloading and categorizing fund-related documents.
- Tagging documents with accurate metadata.
- Extracting data from Private Equity documents.
- Standardizing and validating financial information.
- Working with Partners’ Capital Account statements.
- Reviewing cash flow statements and investment schedules.
- Classifying data related to fund-level investments and portfolio companies.
- Performing data quality checks.
- Resolving exceptions identified through manual QC reviews.
- Reviewing automated validation logs.
- Performing basic trend analysis and routine reporting.
- Supporting data cleansing initiatives.
- Participating in process improvement and Lean initiatives.
- Supporting automation efforts and basic SQL-driven tasks.
- Maintaining documentation of data collection and validation processes.
- Supporting UAT activities.
- Collaborating with data research teams.
- Meeting individual and team targets related to quality, accuracy and timeliness.
- Participating in ad-hoc data enhancement and automation projects.
Ecolab Hiring Associate Data Analyst 2026: Pune | Eligibility, Salary, Batch & Application Details
Eligibility
This opportunity is specifically listed for freshers who graduated in 2025 or 2026.
Candidates should have a Bachelor’s or Master’s degree in Finance, Economics or Commerce.
Candidates must also have:
- Excellent written and verbal communication skills.
- Basic understanding of financial, market or domain data concepts.
- Willingness to work rotational shifts, including night shifts, based on business requirements.
Skills Required
Excel
Basic Excel knowledge is expected for querying, filtering and reconciling data.
SQL
Beginner-level SQL knowledge can help candidates perform basic data-related tasks and support automation initiatives.
Financial Data
Candidates should understand basic financial or market data concepts and be comfortable reading financial documents.
Data Validation
The role requires careful checking of information and identifying discrepancies or exceptions.
Data Entry & Tagging
Candidates should be able to accurately enter, categorize, tag and enrich data.
Data Interpretation
The ability to read and understand simple source materials such as financial filings, vendor feeds and news is useful.
Communication
Strong written and verbal communication is required for collaboration and structured escalation of data issues.
Automation & GenAI
Awareness of automation and GenAI tools is preferred, with candidates expected to follow prescribed usage guidelines.
Work Culture
The Data Analyst works in a structured, process-driven and collaborative environment. Since the role involves financial and private-market data, accuracy, consistency and adherence to established processes are important.
Candidates will work with other data research teams and participate in UAT, process improvement, automation and technology-enabled workflows.
The role also involves working toward individual and team performance targets, with a strong emphasis on quality, accuracy and timely delivery.
Because the business may require coverage across different time zones, candidates should be comfortable working in rotational shifts, including night shifts.
What Should Candidates Prepare?
Financial Documents
Candidates should understand the basics of:
- Financial statements
- Cash flow statements
- Investment schedules
- Capital accounts
- Capital calls
- Distributions
Excel
Revise:
- Sorting and filtering
- Basic formulas
- Lookup functions
- Pivot Tables
- Data reconciliation
- Data cleaning
SQL
Prepare basic concepts such as:
- SELECT
- WHERE
- GROUP BY
- ORDER BY
- JOINs
- Aggregate functions
- Filtering
Data Quality
Practice identifying:
- Missing data
- Duplicate records
- Incorrect values
- Inconsistent information
- Data classification errors
Financial & Market Data
Candidates should have a basic understanding of how financial information is presented and used for analysis.
Communication
Prepare examples demonstrating attention to detail, problem-solving, teamwork and the ability to communicate discrepancies clearly.
Selection Process
The supplied job description does not specify a fixed interview process.
Candidates should be prepared for potential assessments or interviews covering:
- Basic financial concepts
- Excel
- SQL
- Data interpretation
- Logical reasoning
- Attention to detail
- Communication skills
- Situational problem-solving
The actual selection process may vary.
Who Can Apply?
This opportunity can be relevant for candidates who:
- Graduated in 2025 or 2026.
- Have a Bachelor’s or Master’s degree.
- Studied Finance, Economics or Commerce.
- Are freshers.
- Have basic Excel knowledge.
- Have beginner-level SQL knowledge.
- Understand basic financial or market data.
- Have strong communication skills.
- Have good attention to detail.
- Are comfortable working with financial documents.
- Are willing to work rotational/night shifts.
Career Scope
This role can provide a strong starting point for careers in:
- Data Analyst
- Financial Data Analyst
- Data Quality Analyst
- Research Analyst
- Data Operations Analyst
- Market Data Analyst
- Business Analyst
- Financial Research
Candidates can strengthen their career profile by learning advanced Excel, SQL, Power BI, Python, financial modelling and data analytics.
Frequently Asked Questions
What is the S&P Global Data Analyst role?
It is an entry-level Data Management role involving financial data processing, validation, enrichment, quality checks, reporting and basic automation.
Where is the job located?
The position is based in Hyderabad, India.
Can freshers apply?
Yes. The vacancy specifically mentions freshers.
Which batches are eligible?
2025 and 2026 passouts are specifically mentioned in the job description.
What qualification is required?
A Bachelor’s or Master’s degree in Finance, Economics or Commerce is required.
Is SQL required?
Beginner knowledge of SQL is mentioned as a technical skill.
Is Excel required?
Yes. Beginner knowledge of Excel is required for tasks such as filtering, querying and data reconciliation.
Are night shifts involved?
Yes. Candidates should be willing to work rotational shifts, including night shifts, depending on business requirements.
What is the salary?
The supplied vacancy does not disclose the salary. Therefore, the salary is listed as Not Disclosed.
What is the job ID?
The S&P Global Data Analyst job ID is 328671.
How to Apply for S&P Global Data Analyst
Interested candidates should review the latest vacancy details and submit their application through the official S&P Global careers platform.
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Candidates should verify the latest eligibility, salary 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, salary, location, batch eligibility and vacancy status may change. Candidates should verify the latest information before applying.