Sr. Supply Chain Analyst
About The Position
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. It 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. The position leads advanced analytics, visualization, and process-mining work; complex application and automation development; data architecture and project-delivery workstreams; and Agile collaboration. It is responsible for solution design and lifecycle management, data and solution quality, delivery coordination, stakeholder communication, and advancing the Global Supply Chain Data, Analytics & Insights roadmap.
Requirements
- 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, including the ability to influence decisions across multiple functions and organizations.
- Ability to lead multiple high-priority initiatives, establish direction, manage competing priorities, and deliver measurable results in a high-volume, fast-paced environment.
Nice To Haves
- 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.
- 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.
Responsibilities
- 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 incorporating process performance, conformance, root-cause, and value-realization insights.
- Define reusable technical patterns, metric logic, data-validation controls, and visualization standards.
- Lead requirements discovery and translate ambiguous business needs into epics, user stories, acceptance criteria, and solution designs.
- Conduct technical reviews and quality assurance for analytics deliverables developed by team members.
- Lead development of complex low-code applications and workflows using Microsoft Power Platform, Dataverse, Dynamics 365, and related technologies.
- Design and pilot Microsoft Copilot and AI-agent solutions using enterprise governance, security, responsible-AI, and measurable-value principles.
- Evaluate and implement automation 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.
- Partner with data engineers and architects to define 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 to 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.
- Ensure solutions comply with architecture, cybersecurity, data governance, documentation, testing, and change-management standards.
- 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 stakeholder engagement.
- Communicate solution approach, progress, dependencies, risks, decisions, and value delivered to business and technical leaders.
- Identify emerging technologies and recommend scalable use cases that advance the Global Supply Chain Data, Analytics & Insights roadmap.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
