Sr Data Analyst – Supply Chain Analytics

Cardinal Health is seeking a senior data analyst to support its Supply Chain Systems and Business Intelligence teams. The role analyzes supply chain data, develops dashboards and actionable recommendations, collaborates with cross-functional stakeholders, models supply chain scenarios, and leads AI/ML projects across the Global Logistics team.

Responsibilities:

• Analyze large datasets related to transportation, warehousing, and other supply chain operations to identify trends, anomalies, and opportunities for improvement
• Design, develop, and maintain interactive dashboards and reports using data visualization tools to present complex information clearly and concisely
• Translate analytical findings into clear, actionable recommendations for internal stakeholders, including operations, logistics, and executive leadership
• Collaborate with cross-functional teams to understand business requirements, define key performance indicators (KPIs), and deliver data-driven solutions
• Utilize advanced analytical techniques and tools to model supply chain scenarios and forecast performance
• Ensure data accuracy and integrity across all analyses and reporting
• Lead Machine Learning (ML)/Artificial Intelligence (AI) projects across the Global Logistics team – including opportunity analysis, implementation, and product ownership

Requirements:

• ·       Advanced Degree is desired
• ·       8+ years of analytics experience with a strong focus on supply chain operations
• ·       Deep understanding of end-to-end supply chain processes and common challenges, with preferred expertise in transportation and warehousing
• ·       Experience working in Big Data systems, Data Lakes, and Analytics related fields managing Build and Run teams
• ·       Experience using AI/ML modeling tools such as Microsoft Visual Studio, Github Copilot, or other similar tools
• ·       Experience working in an Agile environment
• ·       Exceptional communication and presentation skills, with the ability to convey complex analytical concepts to both technical and non-technical audiences
• ·       Bachelor's Degree in Business, Engineering, Statistics, Computer Science, Mathematics, or related field preferred
• ·       Preferred certifications: APICS Supply Chain, Lean Six Sigma, Agile, or Project Management
• ·       Experience working with Transportation/Warehouse Management Systems(TMS/WMS) preferred
• ·       Experience with Data Visualization tools preferred (Tableau, PowerBi, or Looker preferred)
• ·       Experience with Google Cloud Platform (GCP) BigQuery and Alteryx ETL tools preferred