Data Analyst

Salary: $8500 USD Monthly

Company Description Bad Twin Capital is a partner-led investment bank focused on speed, scale, and precision in institutional capital raising and strategic transactions. The firm advises founders, fund managers, and operators, supported by a proprietary investor marketing system and dedicated deal teams.Each client engagement receives a Dedicated Deal Team, including a Senior Transaction Lead, Marketing Team, and Analyst Team responsible for materials, financial modeling, and investor screening. Bad Twin Capital engages selectively to ensure focus, urgency, and conviction across mandates spanning capital raises, fund AUM growth, M&A advisory, structured capital, and investor materials.

Role Description This is a full-time remote role for a Data Analyst at Bad Twin Capital. The Data Analyst will support deal teams by gathering, cleaning, and structuring financial, investor, and market data for use in analysis and decision-making. Day-to-day responsibilities include building and maintaining data models, performing quantitative and qualitative analyses, and generating insights to support capital raises, fund growth initiatives, and M&A transactions. The role involves preparing analytical outputs and visualizations for internal stakeholders and client materials, contributing to investor screening processes, and helping refine the firm’s outreach and marketing systems. The Data Analyst will collaborate closely with Senior Transaction Leads, Marketing, and other Analysts to ensure data-driven execution across mandates.

Qualifications

• Candidates should possess strong analytical skills and data analytics capabilities for evaluating financial, investor, and market information.
• Candidates should possess knowledge of statistics and data modeling to build robust models and perform quantitative analysis.
• Candidates should possess effective communication skills to present complex findings clearly in written reports and presentations.
• Candidates should possess proficiency with relevant tools (e.g., Excel, SQL, BI tools, Python/R) and experience working with large datasets.
• Bachelor’s degree in finance, economics, mathematics, statistics, data science, or a related field; advanced degrees or certifications are a plus.
• Experience in investment banking, private equity, venture capital, asset management, or related financial services is strongly preferred.
• Ability to work independently in a remote environment, manage multiple deadlines, and maintain high attention to detail in a fast-paced setting.