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Data Analytics Summer Intern (Summer 2025)

Tractor Supply Company
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About Tractor Supply Co.: Tractor Supply Co. is a leading rural lifestyle retailer dedicated to serving and empowering the rural community. With over 1,900 stores nationwide, we provide a wide range of products and services, from agricultural supplies to pet care. At Tractor Supply Co., we embrace data-driven decision-making and are committed to delivering quality products and exceptional customer service.

Job Description: Tractor Supply Co. is seeking a Data Analytics Summer Intern to join our dynamic data analytics team for a 11-week paid internship in the Nashville/Brentwood, TN area. This internship offers an exciting opportunity to gain hands-on experience in data analytics and contribute to the success of our data-driven initiatives.

Key Responsibilities:

  • Data Analysis: Assist in collecting, cleaning, and analyzing data from various sources to extract valuable insights and trends.
  • Reporting: Develop and maintain reports and dashboards to track key performance indicators (KPIs) and provide actionable insights to stakeholders.
  • Data Visualization: Create visually engaging data visualizations and presentations to effectively communicate findings and recommendations.
  • Statistical Analysis: Conduct statistical analysis to support business decisions, including hypothesis testing and predictive modeling.
  • Data Integration: Assist in integrating data from different sources and systems to create comprehensive datasets for analysis.
  • Data Quality: Collaborate on data quality initiatives to ensure data accuracy and integrity.
  • Cross-Functional Collaboration: Work with various departments, including marketing, merchandising, and finance, to support data-related projects.

Qualifications:

  • Currently enrolled in a bachelor's or master's degree program in Data Analytics, Data Science, Statistics, Computer Science, or a related field.
  • Strong analytical and problem-solving skills.
  • Proficiency in data analysis tools and programming languages, such as Python or R.
  • Knowledge of data visualization tools, such as Tableau or Power BI.
  • Excellent communication and presentation skills.
  • Enthusiasm for data analytics and a desire to learn and apply new techniques.
  • Ability to work independently and collaboratively in a fast-paced environment.