Dat Insights Analys - (Remote, Entry-Level)

Role Description The Dat Insights Analyst (Remote, Entry-Level) is a part-time role focused on supporting research and analytics related to private equity and venture capital activities. On a day-to-day basis, the analyst will collect and clean data from various sources, build and maintain datasets, and generate dashboards or reports that highlight key investment trends. The role involves conducting market and industry analyses, preparing summaries and visualizations for internal presentations, and assisting in compiling insights for newsletters, events, or knowledge sessions. The analyst will collaborate with society members and mentors, participate in regular virtual check-ins, and ensure data accuracy and clarity in all deliverables. This role is fully remote and designed to provide training and guidance while expecting consistent, reliable output from the analyst.

Qualifications

Strong data handling and analytical abilities, including comfort with spreadsheets (e.g., Excel or Google Sheets), basic data cleaning, and quantitative analysis. Interest in private equity, venture capital, and financial markets, with the ability to understand investment-related concepts through self-learning and guidance. Proficiency in research and information gathering from online databases, reports, and news sources, with attention to detail and accuracy. Clear written and verbal communication skills, including the ability to present data insights in simple, structured formats and prepare concise summaries. Basic familiarity with data visualization tools (e.g., Excel charts, Google Data Studio, Tableau, or similar) is beneficial but not mandatory. Ability to work independently in a remote setting, manage part-time hours effectively, and meet deadlines in a collaborative, student-led environment. Current student or recent graduate in business, economics, finance, statistics, data science, or a related field is preferred, but other disciplines are welcome with demonstrated interest. Willingness to learn, openness to feedback, and enthusiasm for building foundational skills in data analysis and PE/VC research.