Supply Chain Digitalization and Data Analytics Specialist

Role overview

Responsibilities

• Build interactive dashboards and reporting tools using Power BI or other applicable database and visualization platforms.
• Identify AI-driven automation use cases and develop AI agents to automate processes and improve decisions and efficiency.
• Maintain reliable supply chain process data and deploy digital solutions that improve process visibility and performance.
• Evaluate tools, data sources, and improvements; create tools to visualize, monitor, and optimize Supply Chain work.
• Support document management improvements using document systems, XML/HTML, compliance standards, and basic scripting or automation.
• Train and support end users in adopting and using implemented digital solutions.

Required qualifications

• Bachelor's degree or equivalent professional experience.
• At least 3–5 years of supply chain experience.
• At least 3–5 years of data analytics and visualization experience, including Tableau, Power BI, or similar platforms.
• Willingness to travel up to 10% as business needs require.

Candidate profile

• SAP or comparable ERP experience, data mining, and translating data into business insights are listed in the candidate profile.
• The profile names Microsoft Word, PowerPoint, Excel, and Power BI, along with AI agent development experience.
• Communication, collaboration, ownership, accountability, initiative, and stakeholder influence are emphasized.

Compensation

• The stated base pay range is $94,310–$129,679; starting pay may vary based on geography, skills, education, experience, and qualifications.

About Siemens Healthineers