Lead Data Analyst

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.

The Impact:

This role will influence the Private Equity/Venture Capital dataset. In addition to collecting and validating the data, this role may require working with peers, other stakeholders and on process improvement projects. This position is an excellent stepping stone to understand PE/VC domain, that will allow you to gain a comprehensive understanding of their working, and enable you to learn facets of PE/VC, and as well as apply this knowledge to your daily responsibilities.

Whats in it for you:

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.

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 provideaccurate 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.

What Were Looking For:

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