Job Description

Information Technology/Data Analytics Co-op/Intern – Spring 2027

This job description reflects potential openings for the  Spring 2027 Co-op/Internship Session (January-April/May). T his is a general job description and represents multiple openings in various departments. Honda offers both single and multi-semester co-ops and internships. College students must apply to the requisition pertaining to their major and semester of interest. 

Please note:  Sponsorship for employment visa status for these positions is unavailable. Applicants requiring sponsorship for employment visa status now or in the future (e.g., F-1 CPT/OPT, H-1B, TN, etc.) will not be considered.

More about the Information Technology/Data Analytics Co-op/Internship at Honda

The descriptions below reflect  potential environments and duties within our various Information Technology and Data Analytics Co-op/Intern positions that we offer. Work environments and projects may include but are not limited to:

Project & IT Services Support

• Support project planning and execution by assisting with schedules, scopes, milestone tracking, and budget monitoring
• Participate in weekly project meetings and provide status updates to stakeholders
• Interface with business partners to identify reporting, data, and system requirements (“musts” and “wants”)
• Assist in the design, creation, and distribution of standardized reporting and documentation
• Support the development of operational standards, procedures, and training materials for project implementation
• Ensure reporting and documentation align with International Organization for Standardization (ISO) requirements

Manufacturing & Production Analytics

• Collaborate with manufacturing departments and production control teams to develop reports supporting departmental and plant‑level initiatives
• Work with production leadership and management to understand data needs for project rollouts and operational decisions
• Create and maintain production associate reporting tools and documentation within ISO frameworks
• Support implementation of manufacturing projects through data analysis, reporting, and training support

Data Analysis, Data Science & Simulation

• Collect, organize, and analyze large and complex datasets to identify trends, correlations, and improvement opportunities
• Develop and implement algorithms for data analysis, machine learning, and simulation
• Conduct computational modeling and simulations to predict material, part, or system behavior and performance
• Provide data‑driven insights to design, testing, and new model development teams
• Evaluate current business and manufacturing processes to identify opportunities for automation or coding‑based solutions
• Collaborate with cross‑functional teams to integrate analytical and modeling results into product development and operational decision‑making

Reporting & Communication

• Summarize analytical findings in clear, concise reports and dashboards
• Present results and recommendations to internal stakeholders and leadership
• Translate technical and analytical findings into actionable business insights

What you need to be successful in this role

Required :

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