Intern, Data Analyst

Aristocrat TechnologiesConcord, NH
5d$13 - $25Onsite

About The Position

Join us beginning in June 202 6 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 Analys t 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!

Requirements

  • Must be at least 18 years old
  • Must be 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 .

Nice To Haves

  • Interest in the gaming industry is preferred but not .

Responsibilities

  • Assist Lottery teams with the analysis of iLottery New Hampshire game s 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.
  • Engage in cross-functional projects and present findings to leadership.
  • Attend skill-building sessions, executive networking events, and industry functions.
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