Global Logistics Data Analyst — Dashboards & Optimization

Purple Drive Technologies

Columbus (OH)

On-site

USD 60,000 - 86,000

Full time

48 hours ago
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Job summary

Purple Drive Technologies is seeking a Logistics Data Analyst to analyze transportation and logistics performance data, build dashboards, and deliver actionable insights. The role emphasizes data accuracy, collaboration with cross-functional teams, and continuous improvement to drive cost efficiency and service quality.

Ideal candidates will have a bachelor’s degree in a related field and 1–3 years of analytics experience, with strong Excel, Power BI, Tableau, and SQL skills.

Qualifications

  • Bachelor's degree in relevant field (Supply Chain, Logistics, Analytics, CS, or Eng).
  • 1–3 years of logistics analytics experience.
  • Experience with Excel, Power BI, Tableau, SQL.
  • Ability to analyze large datasets and present insights.

Responsibilities

  • Analyze transportation, freight, carrier, and logistics performance data.
  • Build dashboards and reports using Excel, Power BI, Tableau, and SQL.
  • Identify trends and provide recommendations to improve cost, service, and operational efficiency.
  • Support LLP performance tracking and optimization.
  • Ensure data accuracy within transportation management systems (TMS).
  • Partner with Logistics, Procurement, Operations, Master Data, and carriers on continuous improvement initiatives.
  • Develop KPI reports and performance metrics for transportation operations.

Skills

Excel
Power BI
Tableau
SQL
Data analysis

Education

Bachelor's degree in Supply Chain, Logistics, Business Analytics, Data Science, Engineering, Computer Science, or related field

Job description

Purple Drive Technologies is seeking a Logistics Data Analyst to analyze transportation and logistics performance data, build dashboards, and deliver actionable insights. The role emphasizes data accuracy, collaboration with cross-functional teams, and continuous improvement to drive cost efficiency and service quality.

Ideal candidates will have a bachelor’s degree in a related field and 1–3 years of analytics experience, with strong Excel, Power BI, Tableau, and SQL skills.

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