S&P Global is seeking a Data Analyst to join their team in Mumbai. This role involves analyzing and interpreting complex data sets to provide actionable insights that support business decisions. The ideal candidate will have strong analytical skills, proficiency in data analysis tools, and the ability to communicate findings effectively to stakeholders.
Interested candidates can apply online as soon as possible. The detailed eligibility and application process are given below.
S&P Global is Hiring: Data Analyst – Mumbai – Overview
| Company Name: | S&P Global |
| Job Role: | Data Analyst |
| Location: | Mumbai |
| Work Mode: | On site |
| Last Date to Apply: | ASAP |
Skills:
- Master’s degree in finance, economics, data science, or related fields.
- 1-2+ years of experience in data projects, including validation and cleansing techniques would be preferred.
- Strong analytical mindset with attention to detail and advanced quantitative skills.
- Proficiency in SQL and Excel; familiarity with BI tools (Tableau/Power BI) is essential.
- In-depth understanding of compliance in data collection and reporting.
- Exposure to Lean principles or automation tools is essential.
- Willingness to learn and adapt to modern technologies, including GenAI.
- Excellent communication skills with the ability to articulate complex data insights effectively.
- Strong time-management and multi-tasking skills to handle various business facets.
- Proficient in secondary research and online thematic research.
- Certification and experience in MS Office (Excel, Word, PowerPoint).
Responsibility:
- Lead Data Collection Efforts: Gather and verify extensive data on market participants, utilizing publicly available sources including but not limited to websites, news articles, and various public registries & filings to provide accurate insights and ensure thorough data coverage.
- Implement Data Quality Standards: Oversee and implement rigorous data cleansing processes to ensure high accuracy and consistency in datasets, utilizing best practices and methodologies.
- Conduct Advanced Reporting and Analysis: Perform in-depth reporting and trend analysis, generating comprehensive reports that provide actionable insights for strategic decision-making.
- Drive Automation and Efficiency: Spearhead automation initiatives for data collection and reporting tasks using SQL and Lean methodologies to optimize processes and enhance overall efficiency.
- Utilize Advanced Analytical Tools: Apply advanced analytical tools, including GenAI, for exploratory data analysis to extract deeper insights and facilitate informed decision-making.
- Ensure Compliance and Documentation: Maintain thorough documentation of data collection processes and compliance, contributing to continuous improvement initiatives and best practices.
- Achieve Performance Targets: Consistently deliver on individual and team targets with a strong emphasis on quality assurance and operational excellence.
