Sr Data Analyst – Supply Chain Analytics

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

Job Summary

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.

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.

Qualifications

• Bachelor's Degree in Business, Engineering, Statistics, Computer Science, Mathematics, or related field preferred
• Advanced Degree is desired
• Preferred certifications: APICS Supply Chain, Lean Six Sigma, Agile, or Project Management
• 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 with Transportation/Warehouse Management Systems(TMS/WMS) preferred
• Experience working in Big Data systems, Data Lakes, and Analytics related fields managing Build and Run teams
• Experience with Data Visualization tools preferred (Tableau, PowerBi, or Looker preferred)
• Experience with Google Cloud Platform (GCP) BigQuery and Alteryx ETL tools preferred
• 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

Anticipated salary range

$106,700 - $152,400

Bonus eligible

Yes

Benefits

• Medical, dental and vision coverage
• Paid time off plan
• Health savings account (HSA)
• 401k savings plan
• Access to wages before pay day with myFlexPay
• Flexible spending accounts (FSAs)
• Short- and long-term disability coverage
• Work-Life resources
• Paid parental leave
• Healthy lifestyle programs

Application window anticipated to close

10/12/26

The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity.

Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.

Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.