Sr Data Analyst – Supply Chain Analytics

Cardinal Health

7d•$106,700 - $152,400•Remote

About The Position

The Business Intelligence team emphasizes a partnership with internal customers to enable operational processes within Cardinal Health Supply Chain Systems. This position provides support to our medical manufacturing, replenishment, and distribution centers by aligning data and technology solutions to optimize the value of the warehouse and transportation for the supply chain. The team drives business innovation by leveraging emerging technologies and turning them into differentiating business capabilities. The team is responsible for applying business process knowledge and data analytics to develop, recommend and communicate timely, accurate, relevant, and actionable insights to support business decisions and objectives. The position will work across multi-functional teams, such as IT, Finance, Operations, Logistics team members, and Cardinal Health management.

Requirements

Bachelor's Degree in Business, Engineering, Statistics, Computer Science, Mathematics, or related field preferred
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

Nice To Haves

Advanced Degree is desired
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

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.