IT Business Analyst Intern - Ditch Witch

The Toro Company•Perry, OK

3d•$20 - $24•Onsite

About The Position

The 2027 Summer Internship Program at Ditch Witch, a part of The Toro Company, runs from May 17, 2027, through August 6, 2027. Candidates must be available for the entire duration. The Toro Company has a long history of delivering innovative products and customer care. Ditch Witch in Perry, Oklahoma, is a leading manufacturer in the underground pipe and cable market, emphasizing a learning and thriving environment where teammates are seen as neighbors and family. This role contributes to the intricate network of machinery that supports The Toro Company's diverse product lines.

Requirements

Currently pursuing a Bachelor's or Master's degree in Information Systems, Business Analytics, Computer Science, Data Science, Business Administration, or a related field.
Demonstrated interest in data management, business systems, AI technologies, process improvement, or enterprise applications through coursework, projects, internships, or extracurricular activities.
Basic understanding of data analysis and data management.
Experience with Microsoft Excel (pivot tables, formulas, data validation, filtering).
Basic knowledge of AI/ML concepts, generative AI tools, or automation technologies.
Understanding of databases and data structures.
Analytical & Detail-Oriented: Enjoys working with data, identifying quality issues, and ensuring information is accurate and reliable.
Curious & Innovative: Passionate about learning new technologies and exploring AI-driven solutions to improve business processes.
Collaborative Communicator: Works effectively with business and IT stakeholders and can clearly document findings and recommendations.
Proactive Problem Solver: Takes initiative to identify opportunities for process improvement and develop sustainable, long-term solutions.

Nice To Haves

Junior or Senior standing preferred.

Responsibilities

Partner with Strategic Technologies team members, business stakeholders, and IT teams to analyze data quality issues across enterprise applications and business systems.
Perform data cleanup activities including identifying duplicate, incomplete, inaccurate, or outdated records and supporting remediation efforts.
Assist in developing and testing data validation rules, monitoring processes, and governance practices to improve data accuracy and consistency.
Research and evaluate AI-powered tools and techniques to automate data quality management, identify anomalies, and support ongoing data governance efforts.
Collaborate with business and technical teams to design a sustainable, long-term process for maintaining clean and reliable data using AI and automation capabilities.
Document requirements, workflows, and proposed future-state processes to support continuous improvement initiatives.
Present findings and recommendations to team members and stakeholders, contributing innovative ideas that improve business processes and system effectiveness.