Data Analyst

spgi; Ahmedabad District; On-site; INR 480,000 - 720,000; Full time

Job summary

SPGI is seeking a Data Analyst to support end-to-end data lifecycle activities, including sourcing, validation, enrichment, and delivery under SOPs. You will learn industry concepts and collaborate with data research teams to drive quality and governance.

Responsibilities include data collection, cleansing, basic enrichment, and maintaining audit-ready records. The role emphasizes learning, process improvement, and effective communication within a fast-paced environment.

Qualifications

• Fresher (2025/2026 passouts) with relevant degree.
• Strong written and verbal communication.
• Willing to work in rotational shifts as required.

Responsibilities

• Collect, extract, and cleanse data for assigned workflows.
• Execute sourcing, tagging, loading, and basic enrichment per SOPs.
• Record production with clear notes for traceability.
• Monitor queues and flag delays or data gaps for escalation.
• Provide logs to enable basic root-cause analysis.

Skills

Data handling

SQL basics

Excel

GenAI awareness

Communication skills

Education

Bachelor's/Master's in Finance, Economics, Commerce

Tools

Excel

SQL

Job description

About the Role:

Grade Level (for internal use): 07 Role

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.

Key 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.

Basic Qualification

• 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.

What's In It For You?

Our Mission:

Advancing Essential Intelligence.

Our People:

We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Our Values:

Integrity, Discovery, Partnership. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers