Analytics Intern

Bell Techlogix, Inc.Indianapolis, IN
7hHybrid

About The Position

Grow your career by working on cutting-edge data analytics projects and contributing to data-driven decision-making. As an Analytics Intern at Bell Techlogix, you will gain hands-on experience analyzing and interpreting data, creating actionable insights, and communicating findings to stakeholders. This role allows you to apply your analytical skills, learn new technologies, and collaborate with diverse teams to drive innovation and growth. You will also have the opportunity to connect with leadership, participate in team events, attend professional development sessions, and take part in a volunteer opportunity. All interns have the potential to be hired full-time upon graduation.

Requirements

  • Currently pursuing a graduate degree in Data Science, Statistics, Computer Science, Mathematics, or a related field
  • Experience with Microsoft Office (Word, Excel, PowerPoint, Outlook)
  • Understanding of statistical analysis and data modeling techniques
  • Familiarity with data visualization tools and techniques
  • Knowledge of database management and querying languages
  • Basic understanding of machine learning concepts and algorithms
  • Strong analytical and critical thinking skills
  • Excellent problem-solving abilities
  • Strong communication and presentation skills
  • Ability to work collaboratively in a team environment

Nice To Haves

  • Experience with data analytics tools such as Power BI
  • Experience handling large data sets

Responsibilities

  • Analyze and interpret data to uncover insights and trends
  • Assist in the development and implementation of data analytics projects
  • Create data visualizations and reports to communicate findings to stakeholders
  • Collaborate with cross-functional teams to support data-driven decision-making
  • Conduct research on emerging trends and technologies in data analytics
  • Support additional analytics projects and initiatives as assigned

Benefits

  • Hands-on experience in data analytics and statistical modeling
  • Exposure to data visualization tools and reporting best practices
  • Opportunities to collaborate with cross-functional teams
  • Professional development sessions focused on analytical and workplace skills
  • Networking and mentorship opportunities
  • Potential for a full-time role after graduation
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