Data Analyst Intern

Daikin Applied AmericasPlymouth, MN
2d$23 - $29Hybrid

About The Position

Join the world's largest HVAC company, named by Forbes as one of America's Best-In-State Employers 2025! Daikin Applied is now hiring for a Data Analyst Intern in Plymouth, MN! Daikin Applied is a global leader in providing innovative HVAC solutions for commercial and industrial applications. We are currently seeking a highly motivated and detail-oriented Datal Analyst Intern to join our dynamic Data Products Team. This internship offers valuable hands-on experience within a leading organization. Come be a part of an exciting journey at Daikin Applied, where innovation and excellence drive our every endeavor! Location: Plymouth, MN - Hybrid Timeline: This Internship opportunity is for May–August 2026 What’s in it for you: You will have the opportunity to own a meaningful, real-life project within the Data Products Team that can directly create a positive impact on Daikin Applied’s HVAC Community An opportunity to build relationships with other students beyond your department The ability to make an impact and shape your career with a company that is passionate about growth The support of an organization that believes it is vital to include and engage diverse people, perspectives, and ideas to achieve our best

Requirements

  • Junior currently enrolled in an accredited degree program in Data Science or related field
  • Obtain basic proficiency in MS Excel, SQL for querying and manipulating data, Python or R for analysis/modeling, and Power BI or another tool for creating visual dashboards
  • Work visa sponsorship is not available for this position

Nice To Haves

  • Reside within a 300-mile radius of our Plymouth, MN office
  • Proficient in Microsoft Office Suite (Word, Excel, PowerPoint)
  • Strong communication and interpersonal skills, with the ability to collaborate effectively with engineers, product owners and other team members and the aspiration to lead discussions

Responsibilities

  • Utilize various databases, data visualization, and data science tools to help us to communicate results of real-world business problems
  • Analyze manufacturing processes to find bottlenecks or anomalies, then recommend improvements supported by data visualizations
  • Research customer demographics and purchase history to segment customers, create visual charts for these groups, and provide actionable insights
  • Identify how data ties into business outcomes, and the ability to explain insights in a way that supports business decision
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