S&P Global is seeking fresh MBA graduates with a specialization in Finance for the role of Data Analyst at their offices in Gurgaon and Ahmedabad. This entry-level position is perfect for individuals looking to start their careers in financial data analysis. As a Data Analyst at S&P Global, you will be tasked with analyzing financial data and providing critical insights to support business decisions, offering a robust platform to develop your expertise within a leading global financial information and analytics company.
Company Name: S&P Global
Job Role: Data Analyst
Education Required: MBA (Finance Specialization)
Experience Required: Freshers
Job Location: Gurgaon, Ahmedabad
Role and Responsibilities:
- High-quality data (Financial / Non-Financial Data) collation, analysis, extraction, and entering the data in work tools as per guideline specifications for assigned vertical.
- Understand the workings of the dataset, be aware of the workflows, and have a strong working knowledge of work tools.
- Providing input and ideas for new collection methods and product enhancements related to the dataset.
- Deliver on predefined individual and team targets including delivering outcomes with quality and excellence.
- Create tech expertise within the department.
- Troubleshoot problems or issues and support the team in enhancing the workflow/processes for the department.
- Reviewing feedback involving transaction content to help correct errors and establish or refine procedures and processes to improve accuracy.
Required Skills and Qualifications:
- MBA (Finance Specialization) candidates with good academic track record.
- Excellent communication skills, both written and oral.
- Knowledge of corporate finance/accountancy i.e., financial statements and annual reports.
- Well-versed with secondary research sources.
- Willing to work in a 24*5 environment on rotational shifts.
- Certification or knowledge/experience in MS-office (Excel, Word, PowerPoint)
- Strong quantitative, analytical, and interpretive skills.
- Ability to conduct efficient thematic online research.
