Data Analyst
- S&P Global Market
- 1 - 2 years
- Hyderabad
- 3 months ago
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Job Description
Responsibilities:
- 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.
- Contribute to Strategic Enhancements: Actively contribute to the development of new data collection methods and product enhancements to improve strategies based on market needs.
- Troubleshoot Complex Issues: Address and resolve complex data-related issues, provide support to team members, and foster a collaborative problem-solving environment.
- Lead Workflow Improvement Initiatives: Drive initiatives aimed at refining workflows and enhancing overall team performance through innovative process improvements.
Preferred Qualification/What We Are Looking For:
- Masters 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).
- Initiative and resourcefulness in problem-solving.
- Adaptable to flexible shifts and team environments.
- Strong project management skills for ad-hoc projects.
- Deep interest in market trends with the ability to analyze market dynamics.
- Strong collaboration and interpersonal skills to build relationships with stakeholders.
- Proactive in enhancing technical skills relevant to data analysis and reporting.
- Ability to share constructive feedback and foster a culture of continuous improvement.
Job Classification
Industry: BankingFunctional Area / Department: Data Science & AnalyticsRole Category: Business Intelligence & AnalyticsRole: Data AnalystEmployement Type: Full timeContact Details:
Company: S&P Global MarketLocation(s): Hyderabad
Keyskills: project management data collection sql bi tools secondary research data analysis data validation management skills bi power bi data integrity cleansing data cleansing data quality tableau automation tools lean data science trend analysis
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S&P Global Market
S&P Capital IQ, a business line of The McGraw-Hill Companies (NYSE:MHP), is a leading provider of multi-asset class and real time data, research and analytics to institutional investors, investment and commercial banks, investment advisors and wealth managers, corporations and universities aroun...
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