We are seeking a hybrid Supply Chain Business Analyst / Data Scientist to bridge supply chain process and applied Advance Intelligence / analytics. This role will partner closely with supply chain and cross-functional experts to identify opportunities, define requirements, and deliver data-driven solutions.
Your Role
Key responsibilities in your new role
- Own end-to-end delivery of high-value supply chain analytics use cases for Make Integration function from framing business problems and KPIs to building models/dashboards and driving adoption
- Lead discussions with supply chain process expert to map As-Is/To-Be processes; translate needs into requirements, user stories, and acceptance criteria
- Partner with supply chain process experts to define data requirements, contribute to logical data models, and build robust datasets; perform data extraction and transformation across multiple sources and formats
- Design and deploy AI solutions, dashboards and automated reports (e.g. Tableau and SAP BusinessObjects)
- Establish monitoring and alerting for anomalies with defined thresholds and communicate trends to stakeholders
- Run UAT, manage change, train end users, track benefits realization and maintain clear documentation of assumptions, limitations, and decision logi
Your Profile
Qualifications And Skills To Help You Succeed
- Bachelor's degree in Supply Chain, Industrial Engineering, Computer Science, Engineering, Data Science, Statistics, or a related field
- 5+ years of experience in supply chain analytics or business analysis role, including experience with SAP
- Expertise in Data Visualization, Tableau, Excel, SQL/Access databases, SAP Business Objects/Intelligence, Python or Javascript, C and UIPath
- Ideally work experience in software development (C#, Java), especially in the area of AI (Python, R)
- Understanding of business processes and Semiconductor process experience strongly preferred
- High analytical skills and keen perception to approach new challenges
- Strong communication and presentation skills
Contact:
[Confidential Information]
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