Intern, Data Analyst
Join us beginning in June 2026 for a dynamic 8-week internship program in New Hampshire, designed to provide hands-on experience, professional development, and executive exposure. This program offers opportunities aligned with your degree path and interests. As the Data Analyst Intern, you will gather, analyze, and interpret data for the performance evaluation of lottery products, iLottery New Hampshire game programs, and retailers for use in recommending opportunities to improve marketing campaigns, performance of products, and business practices. This internship is a unique opportunity to gain real-world experience while expanding your professional network. Apply now and take the first step toward an exciting career!
What You'll Do
Assist Lottery teams with the analysis of iLottery New Hampshire games and products, program problem-solving areas, including technical and process troubleshooting, validation of operations, sales, and activities concerning scratch games, Fast Play, Keno, draw games, iLottery, as well as interactive, rewards, and second chance initiatives.
Provide management and key vendors with actionable information, analysis, and identification of problem areas via clear visual, written, and verbal communications for review and implementation.
Consolidate data and recommendations into reports and presentations that can be shared with management, internal teams, vendors, and retailers to optimize the presentation of data.
What We're Looking For
Must be at least 18 years old in your third or fourth year of undergraduate study.
Must be able to work part-time (max 37 hrs/week), on-site internship in Bedford, New Hampshire.
Currently enrolled in a New Hampshire University or Technical College with coursework relevant to one of the available internship roles.
Strong analytical, problem-solving, and communication skills.
Self-motivated with a passion for learning and professional growth.
Interest in the gaming industry is preferred but not required.
Engage in cross-functional projects and present findings to leadership.
Attend skill-building sessions, executive networking events, and industry functions.