Remote Senior Data Analyst - Supply Chain Analytics & ML

Cardinal Health

Montpelier (VT)

Remote

USD 107,000 - 152,000

Full time

10 days ago
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Benefits offered by this job

Medical, dental and vision coverage
401k plan
HSA

Job summary

Cardinal Health is seeking a Senior Business Intelligence professional to partner with internal customers and optimize supply chain data solutions. You will analyze transportation and warehousing data, design dashboards, and deliver data-driven recommendations across IT, Finance, Operations, and Logistics.

Lead ML/AI initiatives and ensure data integrity while communicating insights to executives. The role emphasizes cross-functional collaboration and a strong background in analytics and supply

Qualifications

  • Bachelor's degree in a related field is preferred; advanced degree is desired.
  • 8+ years of analytics experience with focus on supply chain operations.
  • Experience with TMS/WMS, Big Data, Data Lakes, and analytics.
  • Experience using AI/ML tools and Agile environments.

Responsibilities

  • Analyze large datasets on transportation and warehousing to identify trends and opportunities.
  • Design and maintain dashboards and reports using data visualization tools.
  • Translate findings into actionable recommendations for internal stakeholders.
  • Collaborate with IT, Finance, Operations, and Logistics teams to define KPIs.
  • Lead ML/AI projects across Global Logistics including ownership.
  • Ensure data accuracy and integrity across analyses and reporting.

Skills

Analytics
Supply chain
Cross-functional collaboration
Data visualization

Education

Bachelor's Degree in Business/Engineering/Statistics/CS/Math
Advanced Degree preferred

Tools

Tableau
Power BI
Looker
GCP BigQuery
Alteryx

Job description

Cardinal Health is seeking a Senior Business Intelligence professional to partner with internal customers and optimize supply chain data solutions. You will analyze transportation and warehousing data, design dashboards, and deliver data-driven recommendations across IT, Finance, Operations, and Logistics.

Lead ML/AI initiatives and ensure data integrity while communicating insights to executives. The role emphasizes cross-functional collaboration and a strong background in analytics and supply

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