Data Analytics & Visualization Intern (Summer)

United Parcel Service, Inc.; Middleburg Heights (OH); On-site; USD 25,000 - 34,000; Part time

Job summary

United Parcel Service, Inc. is offering an internship opportunity in the analytics and logistics insights area in the United States. The role centers on building quantitative models and creating data visualizations aligned to the intern's skills and interests.

The position involves developing analytical models, collaborating with cross-functional teams, and presenting data-driven insights to stakeholders. Ideal candidates are rising juniors or seniors, or recent graduates, pursuing degrees in

Qualifications

• Rising college junior or senior, graduate student or recent graduate within the last 24 months pursuing a degree in Engineering, Statistics, Analytics, Mathematics, Computer Science, Information Technology or related field
• Working knowledge of Microsoft Word, Excel, Access, and Outlook
• Sufficient and effective knowledge and experience in programming and algorithms
• Demonstrates interpersonal communication skills
• Ability to work both collaboratively and independently
• Ability to interact and communicate effectively across business units and to different levels of management

Responsibilities

• Develops analytical models and data visualizations to drive analytic insights.
• Interacts with cross-functional teams to model current operations processes and evaluate potential solutions.
• Presents data insights and recommendations to key stakeholders.

Education

Engineering, Statistics, Analytics, Mathematics, Computer Science, Information Technology or related field

Job description

United Parcel Service, Inc. is offering an internship opportunity in the analytics and logistics insights area in the United States. The role centers on building quantitative models and creating data visualizations aligned to the intern's skills and interests.

The position involves developing analytical models, collaborating with cross-functional teams, and presenting data-driven insights to stakeholders. Ideal candidates are rising juniors or seniors, or recent graduates, pursuing degrees in