S&P Global is Hiring Data Analyst
Transactions, EDO Data • Bangalore, Karnataka
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Job Overview
S&P Global is hiring a Data Analyst for its Transactions, EDO Data team in Bangalore. The role focuses on researching, collecting, validating, enriching, and delivering transaction-related data while following established standard operating procedures and data-quality guidelines.
The position provides exposure to mergers and acquisitions, capital markets, enterprise valuations, regulatory information, analytics, automation, and GenAI-enabled data workflows. It is suitable for graduates or finance-focused postgraduates with relevant experience in data operations or research.
Key Responsibilities
- Research, collect, and validate transaction-related data from filings, regulatory documents, press releases, and financial disclosures.
- Perform data sourcing, tagging, loading, and basic enrichment according to SOPs.
- Execute day-to-day data collection, extraction, and basic cleansing using approved manual and AI-assisted methodologies.
- Analyze M&A transactions, capital market activities, and restructuring events.
- Generate structured datasets and relevant data insights.
- Meet individual and team performance targets with a focus on accuracy and timeliness.
- Use data analytics and AI capabilities, including GenAI models, for data extraction, summarization, and normalization.
- Contribute to initiatives focused on improving data quality, taxonomy, and coverage.
- Participate in UAT and day-to-day solutioning activities.
- Collaborate with peers, stakeholders, and other data research teams.
Skills & Technologies
Data Operations
Financial Markets & Domain
Tools & Technologies
Eligibility
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Experience Required: 1–3 years of relevant experience in data operations or research. Internships may be considered as relevant experience.
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Qualification: BBA, B.Com, or BMS. Postgraduate/MBA with Finance as a major specialization may also apply.
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Core Skills: Strong attention to detail, operational discipline, and analytical skills. Ability to read and interpret source materials accurately.
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Technical Proficiency: Basic knowledge of SQL, intermediate Excel skills, and an awareness of automation and GenAI tools.
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Preferred Experience: Experience with M&A, IPOs, or capital market activities. Familiarity with financial transaction data.
How to Apply
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