(USA) Summer 2027 Corporate Intern: Data & Tech Transformation intern

Walmart•Bentonville, AR

11d•$21 - $40•Onsite

About The Position

As a Data & Tech Transformation intern, you will work with complex datasets to turn information into meaningful business insights. You will analyze data, identify trends and patterns, develop visualizations and tools, and collaborate with cross-functional partners to improve how data is organized, interpreted, and used in business decisions. This internship supports the Data & Tech Transformation team for Walmart Fuel within Walmart Realty. Walmart Real Estate supports the places and physical assets that enable Walmart to serve customers and communities across the real estate lifecycle. The intern will help turn complex business questions and data into insights and tools that support Walmart Fuel's strategic and operational priorities. The role is intended for someone who enjoys solving problems, learning new technologies, asking thoughtful questions, and connecting analytical findings to business outcomes.

Requirements

Pursuing an undergraduate degree in data analytics, data science, business analytics, information systems, computer science, finance, economics, or a related field.
Strong analytical, problem-solving, and communication skills.
Experience using spreadsheets to analyze and communicate information.
Ability to manage responsibilities, meet deadlines, collaborate, and learn new tools.
Coursework or experience in data analysis, business intelligence, data transformation, or business strategy.
Ability to translate analytical findings into clear business recommendations.

Nice To Haves

Familiarity with SQL, Python, Power BI, Tableau, or similar tools.
Experience with dashboards, visualizations, reporting, or analytical models.

Responsibilities

Partner with cross-functional teams to understand business challenges, identify opportunities, and support data-driven decisions.
Analyze complex datasets to uncover trends, patterns, and actionable insights that support Fuel strategy and business priorities.
Clean, organize, validate, and transform data from multiple sources to improve data quality, consistency, and usability.
Develop dashboards, visualizations, and business intelligence solutions that simplify complex information and improve decision-making.
Identify opportunities to streamline reporting, automate processes, and improve analytical efficiency.
Translate analytical findings into clear business recommendations and communicate insights to stakeholders and leadership.
Take ownership of projects from problem definition through analysis, solution development, and presentation of results to leadership.