Intern, Data Analytics & ERP Optimization

General Dynamics - Ordnance and Tactical Systems (FL,TX,VA, IL); Saint Petersburg (FL); On-site; USD 17,000 - 25,000; Part time

Job summary

General Dynamics Ordnance and Tactical Systems (OTS) invites an intern to join the Artillery team, supporting data analytics, AI initiatives, ERP optimization, and operational process improvement. The role emphasizes hands-on learning with data tools and cross-functional collaboration.

The internship typically requires 15-19 hours per week, with flexible scheduling to fit your academic commitments. This early-career opportunity offers exposure to analytics, ERP workflows, and dashboards that

Qualifications

• Must be currently enrolled in related Business courses or be within 6 months of graduation.
• No prior experience needed.
• Pursuing Degree in Business, Computer Science, Data Analytics, Information Systems or related field.

Responsibilities

• Assist with collecting, cleaning, and analyzing operational and business data to identify trends and improvement opportunities.
• Support AI-related projects such as predictive analytics, automation, workflow enhancement, and data modeling.
• Participate in ERP system optimization, including process mapping, data validation, and documentation updates.
• Build dashboards, reports, and visualizations to support decision-making across teams.
• Conduct research on new technologies, tools, and methodologies related to data analytics and operational efficiency.
• Partner with cross-functional groups to support ongoing initiatives.
• Help document processes, system enhancements, requirements, and best practices.
• Support adhoc projects that improve operational performance, accuracy, and data accessibility.

Skills

Teamwork

Data analysis

Communication

Problem solving

Education

Pursuing Degree in Business/CS/Data Analytics/IS

Job description

General Dynamics Ordnance and Tactical Systems (OTS) invites an intern to join the Artillery team, supporting data analytics, AI initiatives, ERP optimization, and operational process improvement. The role emphasizes hands-on learning with data tools and cross-functional collaboration.

The internship typically requires 15-19 hours per week, with flexible scheduling to fit your academic commitments. This early-career opportunity offers exposure to analytics, ERP workflows, and dashboards that