Remote Senior Data & Supply Chain Analytics Leader

Cardinal Health

Augusta (ME)

Remote

USD 107,000 - 152,000

Full time

14 days+
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Benefits offered by this job

Medical, dental and vision coverage
401k savings plan
Paid time off

Job summary

Cardinal Health is seeking a senior analytics professional to partner with internal customers and optimize warehouse and transportation value across Supply Chain Systems. You will align data and technology to drive operational improvements and strategic insights for manufacturing, replenishment, and distribution centers.

The role spans cross-functional collaboration with IT, Finance, Operations, and Logistics, leading ML/AI initiatives and delivering data-driven recommendations to executive

Qualifications

  • Bachelor's degree in a related field; advanced degree preferred.
  • 8+ years of analytics experience with supply chain focus.
  • Strong communication and presentation skills to diverse audiences.

Responsibilities

  • Analyze large datasets to identify trends and opportunities.
  • Design and maintain interactive dashboards for stakeholders.
  • Translate findings into actionable recommendations for operations and leadership.
  • Collaborate with IT, Finance, and Logistics to define KPIs and deliver solutions.
  • Model supply chain scenarios and forecast performance using ML/AI techniques.
  • Ensure data accuracy and lead ML/AI projects across Global Logistics.

Skills

Analytics experience
Communication skills
Agile experience
Data visualization

Education

Bachelor's degree in Business/Engineering/Statistics/CS/Math
Advanced degree desired

Tools

Tableau
Power BI
Looker
GCP BigQuery
Alteryx
ETL tools
AI/ML tooling (VS, Github Copilot)

Job description

Cardinal Health is seeking a senior analytics professional to partner with internal customers and optimize warehouse and transportation value across Supply Chain Systems. You will align data and technology to drive operational improvements and strategic insights for manufacturing, replenishment, and distribution centers.

The role spans cross-functional collaboration with IT, Finance, Operations, and Logistics, leading ML/AI initiatives and delivering data-driven recommendations to executive

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