S&P Global is Hiring Data Analyst
Transactions Team • Bangalore, Karnataka
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Job Overview
S&P Global is hiring a Data Analyst for its Transactions team in Bangalore. The role focuses on researching, collecting, and rationalizing transaction-related data from company filings, regulatory documents, press announcements, and other sources.
The position offers exposure to global financial markets, regulatory environments, data collection technologies, and business initiatives. Strong attention to detail, secondary research, communication, and basic accounting and financial-market knowledge are important for the role.
Key Responsibilities
- Research transaction-related data from company filings and regulatory documents.
- Collect and rationalize data from press announcements and other reliable sources.
- Deliver individual and team targets while maintaining high-quality output.
- Contribute to subject-matter-expert (SME) building initiatives.
- Support improvements in individual and team data quality.
- Develop understanding of global financial markets and regulatory environments.
- Work with data collection technologies and tools to optimize data accuracy.
- Collaborate with team members on business initiatives and strategic projects.
- Maintain accuracy and intense attention to detail across all research activities.
Skills & Technologies
Research & Analytics
Finance & Reporting
Technology & Tools
Professional Skills
Eligibility
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Qualification & Experience: Not specified. Entry-level/fresher profiles with the right skills are encouraged to apply.
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Core Skills: Excellent comprehension ability, strong secondary research skills, and intense attention to detail.
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Domain Knowledge: Basic knowledge of accounting and financial markets. Knowledge of Data Modelling, Python, and JavaScript is preferred.
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Work Requirements: Flexibility to work rotational shifts according to business requirements.
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Certifications: Basic Microsoft Office certification required. Lean Six Sigma certification is a plus.
How to Apply
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Ensure your resume highlights your data research, financial market knowledge, and any Python/JavaScript exposure before submitting.
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