Logistics BI Analyst: AI-Driven Insights for Shipments

Talentify

Kenosha (WI)

On-site

USD 75,000 - 95,000

Full time

14 days+
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Benefits offered by this job

Health insurance
401(k) with 6% employer match
Bonus programs
Paid holidays and generous PTO
Tuition Assistance Program
On-site café

Job summary

Uline seeks a Business Intelligence Analyst at Corporate Headquarters in Pleasant Prairie, WI to own analytics that move shipments. You will apply advanced analytics and AI-driven insights to evaluate shipping performance and influence strategy across one of North America’s largest freight networks.

Collaborate with cross-functional teams to develop data models, dashboards and visualizations, and to forecast impacts.

Qualifications

  • Bachelor’s Degree required.
  • 2+ years in Analytics, Business or Finance.
  • Experience using data intelligence, predictive analytics or AI-enabled tools.
  • SQL experience preferred.
  • Proficient in Microsoft Word, PowerPoint and Excel.
  • Excellent communication and time management skills with great attention to detail.

Responsibilities

  • Investigate and interpret logistics data to create executive summary memos, diagrams and presentations.
  • Work with cross functional teams to provide informed, actionable insights supporting the improvement of Uline’s logistics operations, processes and procedures.
  • Evaluate shipping rates, surcharges and service standards to optimize logistics strategies.
  • Develop data models and visualizations to support business decisions and forecast impacts.

Skills

Analytical thinking
Communication

Education

Bachelor’s Degree

Tools

SQL
Microsoft Word
PowerPoint
Excel

Job description

Uline seeks a Business Intelligence Analyst at Corporate Headquarters in Pleasant Prairie, WI to own analytics that move shipments. You will apply advanced analytics and AI-driven insights to evaluate shipping performance and influence strategy across one of North America’s largest freight networks.

Collaborate with cross-functional teams to develop data models, dashboards and visualizations, and to forecast impacts.

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