Logistics BI Analyst: AI-Driven Insights

Uline

Pleasant Prairie (WI)

Vor Ort

USD 70.000 - 100.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Health insurance & 401(k)
Bonus programs
Paid holidays & PTO
Tuition assistance

Zusammenfassung

Uline, a leading North American distributor of shipping, industrial, and packaging materials, is seeking a Business Intelligence Analyst. You will own analytics that move millions of shipments and apply advanced insights to evaluate performance, influence strategy, and improve operations across a vast freight network.

Responsibilities include translating logistics data into executive summaries, collaborating with teams to deliver actionable insights, and building models and visuals to forecast

Qualifikationen

  • Bachelor's degree in a related field.
  • 2+ years in analytics, business or finance.
  • Experience with data intelligence, predictive analytics or AI-enabled tools.
  • SQL experience preferred.
  • Proficient in Word, PowerPoint and Excel.
  • Excellent communication and time management with attention to detail.

Aufgaben

  • Investigate and interpret logistics data to create executive summaries and visuals.
  • Collaborate with cross-functional teams to deliver actionable insights for logistics improvements.
  • Evaluate shipping rates, surcharges and service standards to optimize logistics strategies.
  • Develop data models and visualizations to support business decisions and forecasting.

Kenntnisse

Analytics
Predictive analytics
AI-enabled tools
SQL (preferred)
Excel
Communication

Ausbildung

Bachelor's Degree

Tools

SQL
Word
PowerPoint
Excel

Jobbeschreibung

Uline, a leading North American distributor of shipping, industrial, and packaging materials, is seeking a Business Intelligence Analyst. You will own analytics that move millions of shipments and apply advanced insights to evaluate performance, influence strategy, and improve operations across a vast freight network.

Responsibilities include translating logistics data into executive summaries, collaborating with teams to deliver actionable insights, and building models and visuals to forecast

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