About Me
Finance Data Analyst with 1 year of experience at S&P; Global supporting Private Markets financial data research, transaction tracking, data validation, and database quality. Experienced in researching funding transactio…
Finance Data Analyst with 1 year of experience at S&P; Global supporting Private Markets financial data research, transaction tracking, data validation, and database quality. Experienced in researching funding transactions, reviewing company filings and public disclosures, resolving data discrepancies, and consolidating related transactions. Hands-on exposure to BDC, ROF, and Preqin-related data projects, with strong MS Excel and financial research skills.
Experience
Finance Data Analyst
<p>Collected, researched, verified, and updated investment and funding-related data in internal databases for Private Markets.</p><p> Researched funding rounds using company filings, press releases, financial news, and other public disclosures to maintain accurate transaction records.</p><p> Performed data validation and cross-verification to identify missing, incorrect, or inconsistent information and improve database accuracy.</p><p> Tracked and processed high volumes of funding transaction records while meeting defined quality, productivity, and reporting standards.</p><p> Performed Business Development Company (BDC) transaction clubbing by consolidating related transactions using company disclosures, filing dates, investors, and transaction details.</p><p> Reviewed financial filings and public sources to validate BDC transactions and support accurate transaction classification.</p><p> Supported Rounds of Funding (ROF) research and transaction tracking from source research through database entry.</p><p> Supported Preqin data-matching activities by comparing private-market information and identifying discrepancies for accurate internal records.</p><p> Used MS Excel and internal research tools for transaction tracking, analysis, data review, and reporting.</p><p> Collaborated with team members to resolve complex transaction-clubbing cases while adhering to internal data-quality standards.</p>