Data & Analytics Intern - Summer 2027

Headquarters Careers At Servpro IndustriesGallatin, TN
Onsite

About The Position

This full-time internship will run from May 24 through July 31, 2027, and will be based at SERVPRO Corporate Headquarters in Gallatin, Tennessee. The Data & Analytics Intern's goal is to understand day-to-day operations within the SERVPRO organization. Through interning with our Data & Analytics team, the intern will obtain an understanding of business drivers and industry trends. The Data & Analytics Intern will have the opportunity to gain hands-on experience and develop a strong foundation in business data analysis, data visualization, and data management. The Data & Analytics Intern will work closely with experienced professionals who are committed to their growth and development.

Requirements

  • Excellent written and verbal communication skills.
  • Proficiency in MS Office (Word, Excel, PowerPoint).
  • Early-stage proficiency in PowerBI or Tableau data visualization.
  • Working knowledge of databases and writing SQL.
  • Excellent organizational and multitasking skills, with the ability to prioritize tasks and meet deadlines.
  • A proactive and creative mindset, with a willingness to learn and contribute new ideas.
  • Strong attention to detail and accuracy in all aspects of work.
  • Ability to work independently as well as collaboratively in a team environment.
  • High School diploma or equivalent is required.
  • Must be a current Junior or Senior enrolled in college, pursuing an undergraduate degree in Data & Analytics, Data Science, Applied AI or a related field.

Nice To Haves

  • Proficiency in Python, R and SQL is preferred.

Responsibilities

  • Participate in weekly intern activities as scheduled and assigned.
  • Attend team meetings and department events.
  • Shadow experienced employees to learn business operations.
  • Assist with department projects and initiatives.
  • Analyze data and prepare reports.
  • Support process improvement initiatives.
  • Participate in special projects assigned by supervisors.
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