Senior Data Analyst: Supply Chain Analytics & AI

Cardinal Health, Inc.; United States; On-site; USD 107,000 - 152,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

401k plan

HSA

Paid time off

Job summary

Cardinal Health, Inc. is seeking a Senior Business Intelligence professional to partner with internal customers and optimize warehouse and transportation value across Supply Chain Systems.

The role analyzes large datasets, builds dashboards, and translates insights into strategic actions for operations, logistics, and executives. It requires deep analytics experience in supply chain, familiarity with TMS/WMS, and comfort leading ML/AI initiatives in a global logistics context.

Qualifications

• Bachelor’s degree in a related field; advanced degree preferred.
• 8+ years analytics experience with a focus on supply chain operations.
• Experience with Big Data, data lakes, and analytics tools.
• Strong communication and presentation skills.

Responsibilities

• Analyze large datasets to identify trends and opportunities in transportation and warehousing.
• Design, develop, and maintain interactive dashboards and reports.
• Translate findings into actionable recommendations for stakeholders.
• Collaborate with IT, Finance, Operations and Logistics teams to define KPIs.
• Model supply chain scenarios and forecast performance with advanced techniques.
• Ensure data accuracy and integrity across analyses and reporting.
• Lead ML/AI projects across Global Logistics from analysis to ownership.

Skills

Analytics

Big Data

Data Visualization

Agile

Communication

Education

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

Advanced Degree

Tools

Tableau

Power BI

Looker

Google BigQuery

Alteryx

ETL tools

Job description

Cardinal Health, Inc. is seeking a Senior Business Intelligence professional to partner with internal customers and optimize warehouse and transportation value across Supply Chain Systems.

The role analyzes large datasets, builds dashboards, and translates insights into strategic actions for operations, logistics, and executives. It requires deep analytics experience in supply chain, familiarity with TMS/WMS, and comfort leading ML/AI initiatives in a global logistics context.