Network Planning & Operations Data Analytics Intern

Union Pacific Railroad; Omaha (NE); Hybrid; USD 29,000 - 34,000; Full time

Benefits offered by this job

Housing stipend

Transportation stipend

Relocation stipend

Hybrid work environment

On-site facilities

Job summary

Union Pacific Railroad is seeking a year-round NPO intern in Omaha, NE to support performance metrics, dashboards, and reporting. You will collaborate with operating, finance, and leadership teams to deliver data-driven insights and drive process improvements.

The internship offers hands-on analytics experience, exposure to cross-functional projects, and flexible hours to accommodate coursework; wage is in the posted hourly range.

Qualifications

• College credits equivalent to one year toward an undergraduate degree
• Proficient verbal and written communication skills
• Basic organization, prioritization and time/project management skills

Responsibilities

• Learn and perform core business processes and systems used in Network Planning & Operations
• Assist in creating self-service dashboards, visualizations, and performance metrics
• Perform ad-hoc analyses and support decision-making through data-driven insights
• Provide operational support to department business group managers
• Build and strengthen a network of professional contacts within departments and across the company
• Assist with project management for various company initiatives and special projects
• Perform other duties as assigned

Skills

Verbal & written communication

Data analysis

Attention to detail

Time management

Team collaboration

Education

Undergraduate credits (1 year)

Pursuing related degree (math/cs/analytics)

GPA 3.0+

Tools

SQL

Tableau

Power BI

Excel

Access

Job description

Union Pacific Railroad is seeking a year-round NPO intern in Omaha, NE to support performance metrics, dashboards, and reporting. You will collaborate with operating, finance, and leadership teams to deliver data-driven insights and drive process improvements.

The internship offers hands-on analytics experience, exposure to cross-functional projects, and flexible hours to accommodate coursework; wage is in the posted hourly range.