Data Analyst Job Openings in Ahmedabad 2026!!!
S&P Global announced job vacancy for the post of Data Analyst.The place of posting will be at Ahmedabad.Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows
Company Overview
| Name of the Company | S&P Global |
| Required Qualifications | Graduate / Post Graduate |
| Skills | Excellent in written & verbal communication |
| Category | Data Management |
| Work Type | Onsite |
The Data Analyst is an individual contributor role that develops foundational proficiency in one or more workflows or datasets. The role supports end-to-end data lifecycle activities including sourcing, basic validation, enrichment, and delivery under guidance, adhering strictly to standard operating procedures (SOPs) and set guidelines, and escalating deviations for a defined dataset or workflow.
The role emphasizes building strong data literacy and operational discipline, learning industry concepts, and collaborating with other data research teams. Associates contribute to UAT and day-to-day solutioning, follow established standards, and participate in continuous process improvement and the adoption of technology and AI-enabled workflows.
Job Details
Θ Positions: Data Analyst
Θ Job Location: Ahmedabad
Θ Salary: As per company standards
Θ Job Type: Full Time
Θ Requisition ID: 331172
Roles and Responsibilities:
- Operational Delivery
- Collect, extract, and cleanse data for assigned workflows or datasets from structured and unstructured sources.
- Execute sourcing, tagging, loading, and basic enrichment activities in strict adherence to SOPs, rule books, and predefined
- validation checks.
- Execute day-to-day data collection, extraction, and basic cleansing using approved manual and AI-assisted methodologies.
- Record production accurately in workflow and queue management tools, ensuring clear notes for traceability and handovers.
- Monitor assigned queues and proactively flag delays, blockers, data gaps, or unusual patterns for senior team members.
- Operate within approved rules and workflows; pause processing and escalate promptly when inputs deviate, or sources are
- unclear.
- Meet defined daily and weekly production and quality targets for assigned queues.
- Provide clear logs and supporting evidence to enable basic root-cause analysis when issues occur.
- Process Excellence
- Maintain audit-ready documentation and follow established handover protocols and controls.
- Adhere consistently to governance standards, controls, and documentation requirements.
- Apply quality feedback consistently to reduce repeat errors and follow the first-time correct approach.
- Suggest small, incremental process improvements (e.g., checklists, prompts, query snippets) for senior review and approval.
- Participate in automation- and AI-assisted workflows and small pilots under governance, using approved tools and prompts to support efficiency, exception handling, and quality improvement.
- Stakeholder Management
- Coordinate with immediate team members to clarify requirements and resolve day-to-day data issues.
- Share timely updates with senior team members on production volumes, issues, and delays.
- Participate in team stand-ups, huddles, and calibration sessions to align priorities, quality expectations, and standards.
Required Skills & Qualifications:
- Fresher (2025/2026 passouts) – Bachelor’s/Masters degree in Finance, Economics, Commerce.
- Excellent in written & verbal communication
- Willing to work in rotational shift (including night shift) basis the business requirement
- Basic understanding of financial/market or domain data concepts relevant to the assigned dataset.
- Technical Skills
- Familiarity with structured/unstructured data formats (Excel, PDFs, filings, news, vendor feeds, etc).
- Beginner knowledge of SQL/Excel for querying, filtering, and reconciling data.
- Awareness of automation and GenAI tools; ability to follow prescribed usage patterns.
- Exposure to data lifecycle concepts (source → ingest → validate → publish).
- Functional Skills
- Ability to perform data entry, tagging, and basic enrichment accurately.
- Capability to read and interpret simple source materials (e.g., filings, vendor feeds, news).
- Structured escalation of exceptions with appropriate evidence and context.
- Ability to quickly learn and work with enterprise data capture tools, workflow systems, and ticketing platforms.
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The information provided on this page is intended solely for informational purposes for Students, Freshers & Experience candidates. All the recruitment details are sourced directly from the official website and pages of the respective company. Latest MNC Jobs do not guarantee job placement, and the recruitment process will follow the company’s official rules and Human Resource guidelines. Latest MNC Jobs do not charge any fees for sharing job information. Latest MNC Jobs strongly advise Students, Freshers & Experience candidates not to make any payments for any job opportunities.
