Sr. Supply Chain Analyst

Come Join an Inclusive Team

The Senior Supply Chain Analyst leads the design and delivery of advanced data, analytics, process intelligence, low-code application, and AI-enabled automation solutions across Global Supply Chain. The role independently translates complex business challenges into scalable, governed solutions and serves as a technical and delivery leader across Power BI, Celonis, Microsoft Power Platform, Microsoft Copilot, and related technologies. The role works closely with Supply Chain functional partners, Digital Technology and architecture teams; facilitates Agile delivery activities; and coaches team members to improve quality, capability, and throughput. 

A Day in the Life

Advanced Analytics, Visualization and Process Mining 

• Lead the technical design, development, testing, deployment, and lifecycle management of complex Power BI dashboards and enterprise analytics solutions. 
• Develop advanced Celonis dashboards and analyses that integrate process performance, conformance, root-cause, and value-realization insights. 
• Define reusable technical patterns, metric logic, data validation controls, and visualization standards that improve consistency and scalability. 
• Lead requirements discovery and convert ambiguous business needs into well-structured epics, user stories, acceptance criteria, and solution designs. 
• Conduct technical reviews and quality assurance for analytics deliverables developed by other team members. 

Application Development, AI, and Automation 

• Lead development of complex low-code applications and workflows using Microsoft Power Platform, Dataverse, Dynamics 365, and related Microsoft technologies. 
• Design and pilot Microsoft Copilot and AI agent solutions, applying enterprise governance, security, responsible AI, and measurable business-value principles. 
• Evaluate and implement automation solutions using AI-enabled tools, Microsoft technologies, Alteryx-type capabilities, or other approved platforms. 
• Define solution architecture, integration needs, testing strategy, deployment approach, support model, and lifecycle-management requirements. 
• Troubleshoot complex defects and coordinate resolution across business and technical teams. 

Data Architecture and Project Delivery 

• Partner with data engineers and architects to define detailed source-system, ingestion, transformation, business-rule, semantic-model, and Enterprise Data Model requirements. 
• Use knowledge of SAP, Snowflake, SQL, and enterprise data architecture to assess data availability, validate design options, and resolve complex data issues. 
• Lead workstreams that identify and close data gaps affecting supply chain processes, metrics, analytics products, and digital solutions. 
• Influence data-quality controls, master-data requirements, lineage, ownership, and governance practices needed for sustainable solutions. 
• Ensure solutions comply with architecture, cybersecurity, data governance, documentation, testing, and change-management standards. 

Agile Leadership & Collaboration 

• Facilitate Scrum activities as assigned, including backlog refinement, sprint planning, daily stand-ups, sprint reviews, retrospectives, impediment management, and delivery reporting. 
• Partner with product owners and stakeholders to prioritize work based on strategic value, user impact, dependencies, capacity, risk, and technical readiness. 
• Coach and mentor team members in analytics development, process mining, application design, Agile practices, data validation, and effective stakeholder engagement. 
• Provide clear communication to business and technical leaders regarding solution approach, progress, dependencies, risks, decisions, and value delivered. 
• Identify emerging technologies and recommend scalable use cases that advance the Global Supply Chain Data, Analytics & Insights roadmap. 

You Bring This Value

• Bachelor's degree in Supply Chain, Data Analytics, Information Systems, Computer Science, Engineering, Business, or a related field is strongly preferred. Candidates with a High School Diploma and at least 12 years of relevant experience may be considered in lieu of a bachelor’s degree. 
• At least 5 years of relevant experience in business intelligence, analytics, process mining, application development, automation, data products, or related digital disciplines 
• Demonstrated experience independently delivering complex dashboards, applications, process mining solutions, automations, or integrated data products. 
• Experience working in Agile Scrum delivery environments and facilitating team delivery activities. 
• Strong knowledge of data architecture, data modeling, data quality, integration, and solution design concepts. 
• Experience translating complex business requirements into scalable technical solutions and influencing cross-functional stakeholders. 
• Ability to coach others, review technical work, and improve team practices and delivery quality. 
• Excellent written and oral communication, facilitation, and executive presentation skills, with the ability to influence decisions across multiple functions and organizations 
• Demonstrated ability to lead multiple high-priority initiatives, establish direction, manage competing priorities, and deliver measurable results in a high-volume, fast-paced environment. 

Preferred Qualifications 

• Advanced Power BI experience, including semantic modeling and Power Query 
• Advanced Celonis experience including process mining solution design 
• Experience architecting and developing solutions using Power Apps, Power Automate, Dataverse, Dynamics 365, or comparable low-code platforms. 
• Experience with Microsoft Copilot Studio, generative AI, Alteryx, or comparable automation technologies. 

Competencies