GTG Intern - Business Intelligence 1

Grainger BusinessesChicago, IL
Hybrid

About The Position

The Grainger Technology Group (GTG) internship is a 10-week, paid program based in our downtown Chicago office where interns work across teams such as Product Engineering, Cybersecurity, Applied Machine Learning, User Experience, Digital Experience Analytics, and more to help build the technology that keeps Grainger and its customers moving. As a GTG intern, you will be treated as a member of the team and contribute to meaningful work tied to real customer and business outcomes, not a separate side project. You will gain hands-on exposure to modern technology stacks, digital platforms, AI-enabled workflows, and enterprise systems while learning from experienced team members. Throughout the summer, you will also participate in networking, social, and professional development events and present the work you accomplished to senior leadership. As a Business Intelligence Intern, you will work on the Digital Experience Analytics team, which is responsible for driving Grainger strategy through the analysis of online data. This intern will work cross-functionally with business stakeholders on projects that inform the features and functionalities deployed in our digital channels (website, app, etc.). This role is ideal for someone who is curious about digital channels, comfortable exploring data, and excited to learn how analytics influences product, technology, and business strategy. You will build end-to-end analytics skills while using modern data platforms, visualization tools, and responsible AI-enabled workflows to move from raw data to useful, decision-ready insights.

Requirements

  • Currently pursuing a degree in Analytics, Statistics, Finance, Business, Marketing, Information Systems, Data Science, or a related field.
  • Expected graduation with a bachelor’s degree between December 2026 and June 2027.
  • Evidence of self-directed learning, project work, case competitions, internships, coursework, or other experiences using data to solve problems.
  • General knowledge of analytics, and the curiosity to explore large data ecosystems in a business context with an interest in digital customer behavior and customer experience measurement.
  • Experience analyzing datasets using tools like Power BI, Tableau, SPSS, or Excel.
  • Ability to communicate clearly through written summaries, visualizations, presentations, and stakeholder conversations.
  • Willingness to use AI and analytics tools thoughtfully while validating outputs and explaining assumptions.
  • Strong collaboration skills to effectively work with partners across analytics, product, technology, and business teams.
  • Cumulative GPA of 3.2 or higher.
  • Does not require sponsorship.

Nice To Haves

  • Familiarity with programming languages such as SQL, Python or R is a plus.

Responsibilities

  • Analyze customer experience across digital channels to uncover opportunities to create value for Grainger and our customers.
  • Work with senior analytics team members and business stakeholders to understand business needs and scope projects.
  • Gather, clean, explore, aggregate, and analyze data from large digital and business data ecosystems.
  • Build reports, dashboards, and visualizations that make insights easier for stakeholders to understand and act on.
  • Use tools and platforms such as Snowflake, Power BI, Excel, Adobe Analytics, SQL, Python, R, and AI-enabled productivity tools when appropriate.
  • Summarize insights, implications, limitations, and tradeoffs for both technical and non-technical audiences.
  • Partner closely with current team members on ongoing activities such as ad hoc analysis, A/B testing, troubleshooting, and measurement planning.
  • Learn how a modern analytics team operates and how data influences digital product, customer experience, and technology decisions.
  • Demonstrate ownership, curiosity, adaptability, and critical thinking while contributing as part of the team.
  • Present your work, impact, and key learnings to technology leaders at the end of the internship.
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