Venture Capital Intern (Data & Analytics) at ff Venture Capital
About the position ff Venture Capital is seeking a detail-oriented undergraduate intern to support its data and analysis efforts. This is a part-time role (10–15 hours per week) ideal for someone looking to gain hands-on experience in venture capital while developing analytical skills. Responsibilities • Organize, clean, and maintain data across our internal systems and databases • Conduct analysis to support investment decision-making and portfolio management • Identify patterns and insights from data to inform firm strategy • Help improve data quality and integrity across platforms • Support ad-hoc research and analytical projects as needed Requirements • You're meticulous and take pride in producing accurate, high-quality work • You have strong analytical skills and are comfortable working with data • You can work independently and manage your time effectively • You're curious about startups, venture capital, and the broader tech ecosystem • You communicate clearly, ask good questions and are excited and open to learning • You have some background in data analysis, whether that is through Excel, SQL, or Python/R • Current undergraduate student • No prior venture capital experience required • Proficiency in Excel/bolthires Sheets; familiarity with other data tools is a plus • Strong attention to detail and organizational skills • Interest in technology and startups Nice-to-haves • You're organized, reliable, and take ownership of your work.You enjoy working with data and are motivated by the challenge of turning messy information into something clean and useful. Most importantly, you're excited about the opportunity to learn about venture capital from the inside. This role is open to remote but someone able to come into our New York City office will get more from the experience. Benefits • Hands-on experience in venture capital • Flexible, part-time schedule (10–15 hours per week) • Direct exposure to how a VC firm operates • Valuable network building in the startup ecosystem • Path to potential opportunities in venture capital or startups • Class credit or hourly pay Apply tot his job