Market Research & Analysis Intern (Spring 2026) at GigFinesse

Market Research and Analysis - Austin Spring 2026 (Remote possible)At GigFinesse were not just changing the game were redefining how live entertainment is booked across the country.In just a few years our platform has powered more than 50000 shows in 30 cities transforming everything from intimate rooftop sessions to marquee venue performances. Our innovative approach has earned recognition from Forbes 30 Under 30 Crains Business and leaders across the hospitality ecosystem.Position OverviewOur premium MAINLINE division focuses on booking top-tier agency-represented talent for private events corporate functions and conferences. GigFinesse is seeking a Market Research and Analysis Intern to support our MAINLINE divisions expansion efforts. This role will provide valuable insights into new market opportunities while gaining hands-on experience in a fast-paced startup environment.Responsibilities:Research and identify potential markets for MAINLINE expansionAnalyze demand across different verticals for high-profile talent bookingsDevelop market entry strategies with actionable recommendationsCreate comprehensive profiles of target markets including competitive landscapeAssist in identifying potential corporate and private event clientsSupport the development of a sustainable lead pipelineQualifications:Pursuing a degree in Business Marketing Finance or related fieldsStrong research abilities and analytical mindsetExcellent data organization and presentation skillsAbility to work independently while meeting team objectivesInterest in the entertainment industry and premium event marketProficiency with research tools and data analysis software a plusAdditional Information:This is an unpaid internship for credit onlyEither in-person in Austin Texas or remoteInternship period: Spring 2026Required Experience:Intern Key Skills Robotics,Machine Learning,Python,AI,C/C++,Data Collection,Research Experience,Signal Processing,Natural Language Processing,Computer Vision,Deep Learning,Tensorflow Employment Type : Intern Experience: years Vacancy: 1