Understand the Job Role
S&P Global has announced an opportunity for the position of Data Analyst in Ahmedabad, Gujarat. This opening is suitable for fresh graduates and postgraduates from Finance, Economics, and Commerce backgrounds who are looking to begin their careers in data management, financial data research, and business intelligence operations.
The Data Analyst role involves working with structured and unstructured data, performing data collection and basic validation, enriching datasets, following standard operating procedures, and supporting the delivery of accurate information. Candidates will also get exposure to enterprise data tools, automation, AI-assisted workflows, and financial or market data.
Match Your Skills
Candidates should compare their educational background and technical knowledge with the requirements before applying. The role requires good written and verbal communication skills along with an understanding of basic financial, market, or domain data concepts.
Knowledge of Excel and SQL can be useful for querying, filtering, validating, and reconciling information. Candidates should also be comfortable working with different data sources such as PDFs, financial filings, news, vendor feeds, and other structured or unstructured documents.
Check Your Eligibility
According to the official job description, this opportunity is specifically open to 2025 and 2026 passouts with a Bachelor's or Master's degree in Finance, Economics, or Commerce. Candidates must also be willing to work in rotational shifts, including night shifts, depending on business requirements.
Be Ready With Your Documents
Candidates should keep an updated resume ready before applying. Your resume should clearly highlight your graduation or postgraduation qualification, knowledge of Excel and SQL, analytical abilities, communication skills, and any academic projects, internships, certifications, or relevant experience related to finance, data, analytics, or research.
S&P Global Recruitment 2026
Company: S&P Global
Job Title: Data Analyst
Job Location: Ahmedabad, Gujarat, India
Job ID: 331172
Experience: Freshers
Eligible Batches: 2025 and 2026 Passouts
Qualification: Bachelor's/Master's Degree in Finance, Economics, or Commerce
Job Category: Data Management
Grade Level: 07
Work Type: Full Time
Shift: Rotational Shifts, including night shifts based on business requirements
Posted On: August 17, 2026
About S&P Global
S&P Global is a global provider of financial information, analytics, benchmarks, and essential intelligence used by organizations to make informed business and investment decisions. The company operates across multiple areas including financial markets, ratings, commodities, indices, and data services.
S&P Global states that it has more than 35,000 employees worldwide. Its teams work across different business areas to collect, analyze, manage, and deliver information that helps customers understand markets and make confident decisions.
The company emphasizes values including Integrity, Discovery, and Partnership. For candidates beginning their careers in data, finance, research, and analytics, S&P Global provides exposure to large-scale enterprise data and technology-driven workflows.
S&P Global Data Analyst Job Description
The Data Analyst is an individual contributor role designed to build foundational proficiency in one or more workflows or datasets. The selected candidate will support different stages of the data lifecycle, including sourcing, basic validation, enrichment, and delivery.
The role requires candidates to follow established standard operating procedures, predefined validation rules, and workflow guidelines. When unusual situations, unclear sources, or deviations are identified, the analyst is expected to pause the relevant process and escalate the issue to senior team members.
The position also provides exposure to continuous process improvement, UAT activities, automation, and AI-enabled workflows. Candidates will work with other data research teams and contribute to maintaining data quality, production accuracy, and operational discipline.
Roles and Responsibilities
The selected Data Analyst will collect, extract, cleanse, tag, load, and enrich data from structured and unstructured sources. This may include information obtained from Excel files, PDFs, financial filings, news sources, vendor feeds, and other approved data sources.
Candidates will be expected to follow standard operating procedures, rule books, validation checks, and predefined workflows while processing assigned datasets. Accuracy is an important part of the role, and analysts must ensure that production is properly recorded in workflow and queue management systems.
The role also involves monitoring assigned queues and identifying delays, blockers, data gaps, or unusual patterns. When an issue cannot be handled using established procedures, the candidate will need to escalate it with appropriate evidence and context.
Data Analysts will maintain clear records and documentation to support traceability, handovers, quality reviews, and basic root-cause analysis. They will also be expected to meet defined production and quality targets for their assigned workflows.
Process Excellence and Quality
The selected candidates will be required to maintain audit-ready documentation and follow established governance and handover procedures. They must consistently apply quality feedback and work toward reducing repeat errors through a first-time-correct approach.
The role also provides opportunities to participate in automation and AI-assisted workflows. Candidates may work with approved AI tools and predefined prompts to improve efficiency, exception handling, and data quality while following the company's governance requirements.
Analysts may also suggest small process improvements such as checklists, query snippets, or workflow enhancements for review and approval by senior team members.
Stakeholder Management
The Data Analyst will work closely with immediate team members and senior colleagues to clarify requirements and resolve day-to-day data-related issues. Candidates will need to communicate production volumes, delays, blockers, and other relevant updates in a timely manner.
Participation in team meetings, daily huddles, stand-ups, calibration sessions, and other operational discussions may also be required to ensure that team priorities and quality standards remain aligned.
Technical Skills Required
Candidates should have familiarity with structured and unstructured data formats. Knowledge of Microsoft Excel and SQL is useful for querying, filtering, comparing, validating, and reconciling data.
The role also requires awareness of automation and Generative AI tools. Candidates should be comfortable following prescribed usage patterns and learning new enterprise technologies and workflow systems.
A basic understanding of the data lifecycle, from source to ingestion, validation, and publishing, will also be beneficial for candidates applying for this position.
Functional Skills
The candidate should be capable of performing data entry, tagging, and basic data enrichment accurately. The ability to read and interpret simple source materials such as financial filings, vendor feeds, news articles, and other business information will be useful.
Candidates should also be able to identify exceptions and communicate them through a structured escalation process with appropriate evidence and context. Since the role involves enterprise data capture tools, workflow systems, and ticketing platforms, the ability to quickly learn new systems will be important.
Financial and Market Data Knowledge
Basic knowledge of financial, market, or domain-specific data is expected for this role. Candidates from Finance, Economics, and Commerce backgrounds can use their academic understanding of financial concepts, business information, markets, and economic data while working with assigned datasets.
Freshers should revise fundamental finance and business concepts before attending interviews, particularly if they have limited practical experience with financial datasets.
AI and Automation Exposure
S&P Global's job description highlights participation in automation and AI-assisted workflows. Candidates may work with approved technology and AI tools to support data collection, exception handling, efficiency improvements, and quality initiatives.
This makes basic awareness of Generative AI and responsible use of AI tools an additional advantage. Candidates should understand that enterprise AI workflows generally operate under defined processes, governance, and approved usage guidelines.
Communication Skills
Strong written and verbal communication skills are required for the position. The analyst may need to communicate issues, provide production updates, document findings, and coordinate with other team members.
Candidates should be comfortable explaining data-related issues clearly and maintaining accurate records that can be understood by other members of the team.
Shift Details
This position requires candidates to be willing to work in rotational shifts, including night shifts, depending on business requirements. Applicants should consider this requirement carefully before applying.
Educational Qualification
The official job description specifies a Bachelor's or Master's degree in Finance, Economics, or Commerce for 2025 and 2026 passouts.
Candidates should ensure that their educational qualification matches the requirement mentioned in the official job posting before submitting an application.
Experience Required
This is a fresher opportunity intended for candidates graduating in 2025 or 2026. Prior professional experience is not specified as a requirement in the provided job description.
Candidates with academic projects, internships, certifications, or coursework related to finance, economics, commerce, data analysis, Excel, SQL, or financial research can highlight these areas in their resumes.
Job Location
The position is based in Ahmedabad, Gujarat, India. Candidates should check the official S&P Global careers page for the latest information regarding the work arrangement and other location-specific requirements.
Who Can Apply?
Freshers from the 2025 and 2026 batches who hold a Bachelor's or Master's degree in Finance, Economics, or Commerce can apply for this opportunity, provided they meet the other requirements mentioned in the official job description.
Candidates should have good communication skills, basic financial or market data knowledge, familiarity with Excel and SQL, and a willingness to work rotational shifts.
Why This Role Can Be Useful for Freshers
The S&P Global Data Analyst position can provide fresh graduates with practical exposure to enterprise data management and financial information workflows. Candidates can develop experience in data sourcing, cleansing, validation, enrichment, quality control, workflow management, and data delivery.
The role can also help candidates build familiarity with SQL, Excel, financial datasets, AI-assisted workflows, automation, and enterprise data platforms. This experience can be useful for candidates planning long-term careers in data analytics, financial data, business research, data operations, and related fields.
Benefits at S&P Global
S&P Global highlights several employee benefits designed to support health, career development, financial wellbeing, and work-life balance. These include health and wellness benefits, flexible downtime, continuous learning opportunities, financial and retirement planning support, education-related programs, family-friendly benefits, and additional employee perks.
Benefits can vary depending on the country and employee eligibility, so candidates should refer to the company's official benefits information for applicable details.
Important Skills for Interview Preparation
Candidates preparing for the Data Analyst interview should revise Excel fundamentals, SQL basics, data cleaning, data validation, data reconciliation, financial concepts, market data concepts, and basic statistics.
It is also useful to understand structured and unstructured data, data lifecycle concepts, data quality, source validation, tagging, enrichment, and basic root-cause analysis.
Candidates should prepare for questions related to communication, attention to detail, handling repetitive data tasks, identifying errors, meeting quality targets, working under deadlines, and responding when source information is unclear.
Basic awareness of Generative AI, automation, responsible AI usage, and enterprise data workflows can also be useful because the job description specifically mentions AI-assisted and automation-enabled processes.
S&P Global Data Analyst FAQs
What is the job role at S&P Global?
S&P Global is hiring freshers for the position of Data Analyst in its Data Management function. The role focuses on data sourcing, extraction, cleansing, validation, enrichment, and delivery.
Where is the S&P Global Data Analyst job located?
The position is based in Ahmedabad, Gujarat, India.
Who can apply for the S&P Global Data Analyst position?
The opportunity is available for 2025 and 2026 passouts with a Bachelor's or Master's degree in Finance, Economics, or Commerce.
Is this a fresher job?
Yes. The official posting specifically identifies the position as suitable for freshers from the 2025 and 2026 graduating batches.
What degree is required?
Candidates should have a Bachelor's or Master's degree in Finance, Economics, or Commerce.
Is SQL required?
The job description mentions beginner knowledge of SQL and Excel for querying, filtering, and reconciling data. Therefore, candidates should be comfortable with basic SQL concepts.
Is Excel required?
Beginner-level Excel knowledge is useful for filtering, querying, comparing, and reconciling data. Candidates should revise basic Excel functions and data-handling techniques before applying.
Does the role involve financial data?
Yes. Candidates are expected to have a basic understanding of financial, market, or domain data relevant to their assigned datasets.
Does the job involve AI?
Yes. The job description mentions automation and AI-assisted workflows, including participation in approved AI tools and pilots designed to improve efficiency, exception handling, and quality.
Are rotational shifts required?
Yes. Candidates must be willing to work rotational shifts, including night shifts, depending on business requirements.
What is the S&P Global Data Analyst Job ID?
The Job ID mentioned in the official posting is 331172.
When was this job posted?
The official listing shows a posting date of August 17, 2026.
Is prior experience required?
The provided job description identifies the position as a fresher opportunity for 2025 and 2026 passouts, so prior professional experience is not specified as mandatory.
What skills should freshers prepare?
Candidates should focus on Excel, basic SQL, data validation, data cleaning, financial concepts, data lifecycle, communication, analytical thinking, attention to detail, and basic AI and automation awareness.
How to Apply
Interested and eligible candidates can apply through the official S&P Global careers portal. Candidates should carefully verify the eligibility criteria, educational qualification, batch requirement, location, and shift expectations before submitting their application.
Official Job Title: Data Analyst
Job ID: 331172
Location: Ahmedabad, Gujarat, India
Eligible Batches: 2025 and 2026
Qualification: Bachelor's/Master's in Finance, Economics, or Commerce
Important Recruitment Fraud Alert
Candidates should be careful about recruitment scams while applying for this opportunity. S&P Global states that it does not require candidates to pay money for job applications, interviews, offer letters, pre-employment training, or equipment.
Candidates should use the official S&P Global careers website when applying and avoid sharing sensitive information or making payments to individuals claiming to represent the company.
Final Words
The S&P Global Data Analyst Recruitment 2026 is a useful opportunity for Finance, Economics, and Commerce graduates from the 2025 and 2026 batches who want to start their careers in data management and financial information services. The position provides exposure to data operations, Excel, SQL, financial data, AI-assisted workflows, quality processes, and enterprise data systems.
Candidates who meet the eligibility requirements should review the official job description carefully and apply as early as possible.
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