Supply Chain Analytics Intern – Data-Driven Problem Solver

FTZ Fritz

United States

On-site

USD 25,000 - 39,000

Part time

14 days+
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Benefits offered by this job

In-person program

Job summary

UPS is offering an internship program within UPS Supply Chain Solutions (SCS) focused on data analysis, research, reporting, and presentation preparation in Atlanta/Alpharetta, GA. Interns tackle meaningful projects requiring stakeholder engagement and strategic problem-solving across logistics domains.

Ideal candidates are rising juniors, seniors, or recent grads in engineering, analytics, IT, or related fields, proficient in SQL, Python, and Power BI, with strong communication skills and the

Qualifications

  • Pursuing degree in Engineering, Statistics, Analytics, Mathematics, Computer Science, Information Technology, Supply Chain/Logistics, or related field
  • Proficient in Microsoft Office Word, PowerPoint, Excel and Power BI
  • Strong interpersonal, written, and verbal communication skills
  • Experience with SQL and Python or similar programming language required
  • Ability to work both collaboratively and independently

Responsibilities

  • Develops actionable research objectives to address key business issues.
  • Performs analysis, analyzes data, and interprets findings to ensure comprehensive understanding of results before presenting to stakeholders.
  • Maintains an understanding of current market and industry practices to leverage existing knowledge and optimize the development of customer analysis.
  • Communicates findings and insights from analysis to key stakeholders.

Skills

SQL
Python
Power BI
Excel
Communication
Teamwork

Education

Pursuing Bachelor's/Master's in a relevant field

Tools

SQL
Python
Power BI

Job description

UPS is offering an internship program within UPS Supply Chain Solutions (SCS) focused on data analysis, research, reporting, and presentation preparation in Atlanta/Alpharetta, GA. Interns tackle meaningful projects requiring stakeholder engagement and strategic problem-solving across logistics domains.

Ideal candidates are rising juniors, seniors, or recent grads in engineering, analytics, IT, or related fields, proficient in SQL, Python, and Power BI, with strong communication skills and the

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