Operations Data Science and Analytics

Requisition ID

**186429**
- Date posted

**11/19/2024**
- Work Location Model

**On-site Flex**
- Work Location

**Batu Kawan-Penang**
- Work Country

**Malaysia**

**The Group You’ll Be A Part Of**:
The Global Operations Group brings information systems, facilities, supply chain, logistics, and high-volume manufacturing together to drive the engine of our global business operations. We help Lam deliver industry-leading solutions with speed and efficiency, while actively supporting the resilient and profitable growth of Lam's business.

**The Impact You’ll Make**:
Join Lam as an Operations Business Analyst, where you'll spearhead process improvement initiatives. With your data expertise, you collect and analyze data through a range of Business Intelligence (BI) tools and apps, develop metrics, and identify root causes with data-driven indicators for future improvements. Organizing cross-functional project teams, you communicate team progress and survey best practices, showcasing your commitment to operational excellence at Lam.

**What You’ll Do**:

- Lead data science, analytics strategic plans, support the development of enterprise data, and analytics initiatives for Global Operations organization in alignment with Lam’s Analytics guidelines.
- Manage, plan, and organize the overall data science, architecture, and analytics programs with activities aligned with the mission, vision, and goals of the business.
- Develop scalable business processes, data science initiatives, analytic programs to support quantifiable business objectives and goals.
- Continuous Improvement mindset leveraging lean agile development methodologies and deploying advance analytics solutions.
- Develop and maintain professional relationships at all levels; manage high level customer relations; communicate and collaborate with business partners.
- Lead and coordinate activities to ensure transparency and deliverables are being met.

**Preferred Qualifications**:

- Minimum of 12 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or a PhD with 5 years experience; or equivalent experience.
- Building AI/ML solutions, Data Science, Engineering, Analytics Strategy for various business units in Global Operations.
- Must know SQL to extract information from various data warehouses data factory, data fabric, synapse, SAP HANA, ABAP, SQL Server.
- Knowledge of SAP ECC/S4 or other ERP systems Material and Vendor Master, Purchasing, MRP, Order Management, BOM, Logistics, Spares, Warehouse.
- Expert understanding of AI/ML & statistics where tools like Python, R, PowerBI, MS Excel, SQL Data models or similar tools that can help drive actionable insights within data quality guidelines.
- Presenting ideas and storytelling with data to decision/policy makers or a large audience.
- Develop meaningful metrics in support of enterprise and line of business strategies.
- Create clear and concise reports in a variety of formats (pdf, word, PowerBI/BI tool, etc.).

**Our Commitment**:
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
- Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time._