Data Analyst Job Vacancies At S&P Global

Qualifications

• MBA/ M.COM candidates with good academic track record
• Ability to multi-task and work in a team environment, while following flexible schedule to meet deadlines
• Well versed with secondary research sources
• Certification and working knowledge/experience in MS-office (Excel, Word, PowerPoint)
• Background in Finance or related fields is preferred
• Comfortable taking initiative and demonstrating resourcefulness
• Strong attention to detail and persistent approach to work
• Excellent communication skills, both written and oral
• Strong quantitative, analytical and interpretive skills
• Ability to conduct efficient thematic online research
• Knowledge of any database or automation tools would be an added advantage.
• Adaptability to work in any shifts

The Team:  

• The Private Equity and Advisory Profiles Team primarily focuses on maintaining and updating profiles of Private Equity and Venture Capital firms.
• With global coverage, we aim to deliver research, content, and analytics about the public and private capital markets to investment banks, investment managers and alternative investment firms.
• The team also establishes relationships with Private Equity Firms to gather rare insights about public & private investments, exits, and investment strategies.
• This effort is coupled with our real time monitoring of global industry trade publications and websites/news aggregators to cover and track all public/private investment markets.

Job Description & Responsibilities:

Primarily responsible for day-to-day collection and validation of data related to PE/VC firms. Once strong fundamental understanding of the dataset and proficiency at workflows is developed, this role would require working with new talent to develop/enhance their skillset and working on process improvement projects including LEAN/automation projects that supports multiple SPGMI products and also an opportunity to venture into the field of data analysis and explore the world of Automation and Artificial Intelligence if have a knack for the same.

• High quality data collation, analysis, extraction and entering the data in work tools as per guideline specifications
• Understand the working of the dataset, be aware of the workflows and have strong working knowledge of work tools
• Deliver on predefined individual and team targets including delivering outcomes with quality and excellence.
• Provide input and ideas for new collection methods and product enhancements related to the dataset
• Work on projects as an when they come up and ensure that they are completed within the given time span maintaining the desired quality
• Troubleshoots problems or issues and provide support to the team
• Support team in enhancing the workflow/processes for department.
• Create tech expertise within department.