Sr. Strategic Category Analyst II – Construction & Capital Projects

What You'll Do

• will be as follows: Data Analytics & Advanced Insights • Design and execute advanced data analytics frameworks to analyze procurement category spend, cost drivers, and market trends from internal and external sources — delivering actionable insights to senior decision-makers. • Apply predictive analytics and statistical modeling to forecast cost trajectories, identify risks, and surface savings opportunities across global procurement categories. • Lead data storytelling efforts, translating complex datasets into clear visualizations and executive-ready reports using tools such as Power BI, Tableau, and Python.
• Data Connections & Integration • Architect and maintain data connections across multiple enterprise systems (SAP, Scout, SharePoint, project controls platforms) to create a unified, real-time view of procurement cost performance. • Partner with Smart Manufacturing, Business Analytics, and IT teams to design and implement scalable ETL/ELT data pipelines that automate the ingestion, transformation, and delivery of key cost data. • Ensure data integrity, governance, and accessibility across all connected platforms and data flows, enabling consistent and reliable reporting for all stakeholders.
• Database Management & Data Infrastructure • Develop and manage structured databases and data repositories for procurement category cost data, supplier financials, benchmarks, and project metrics. • Leverage SQL, Access, Snowflake, or equivalent database tools to query, validate, and maintain large datasets supporting cost analysis and procurement decisions. • Establish and enforce data quality standards, schema consistency, and documentation practices to support long-term scalability and auditability.
• AI & Automation • Champion the adoption of AI-assisted tools and automation workflows to streamline cost tracking, reporting, anomaly detection, and benchmarking processes — reducing manual effort and increasing analytical throughput. • Collaborate with analytics and technology teams to develop and deploy AI/ML-driven models for cost forecasting, supplier performance analysis, and spend categorization. • Identify and implement process automation opportunities across reporting cycles, data reconciliation tasks, and procurement workflows using tools such as Power Automate, Python scripting, or RPA platforms. • Stay current on Generative AI capabilities and emerging tools to continuously enhance the team's analytical and decision-support toolkit.
• Cost Objectives & Performance Tracking • Develop and implement cost objectives and plans to achieve overall procurement cost targets, monitoring performance across key dimensions including total project costs and critical subcategories. • Monitor cost irregularities and trends and deliver timely, data-backed recommendations to keep projects on target. • Hold workstreams accountable for meeting targets through structured tracking mechanisms, clearly communicated goals, and performance dashboards.
• Framework Development & Continuous Improvement • Create and implement a framework for continuous improvement in cost analysis, integrating analytics, automation, and AI tooling to enhance the efficiency and competitiveness of procurement negotiations. • Lead external market intelligence analysis, benchmarking, and problem-solving using structured data methodologies and digital tools.Cross-Functional Collaboration & Stakeholder Influence • Work with cross-functional teams — including Procurement, Finance, Facilities, Operations, and Smart Manufacturing — to identify and execute cost improvement opportunities. • Ensure all key stakeholders have a clear understanding of cost tracking mechanisms, data pipelines, and analytical outputs; serve as a trusted advisor on data-driven procurement cost management. • Collect and interpret supply chain financial data, offering meaningful guidance to both technical and nontechnical audiences. • Escalate key achievements and critical barriers to executive sessions as needed.
• You are a person that: • Leads with data — you see every business problem as a data problem waiting to be solved, and you build systems that make insights accessible and actionable. • Is highly proficient in analytical thinking, statistical reasoning, and structured problem-solving with acute attention to detail. • Demonstrates strong data storytelling skills — able to communicate complex analytical findings clearly to both technical teams and senior leaders. • Is passionate about AI and automation — actively seeking ways to use emerging tools to eliminate manual effort and elevate analytical quality. • Embraces collaboration across diverse global regions, cultures, and functions. • Is agile and curious — thriving in a fast-paced, evolving environment while continuously adopting new methods, tools, and technologies.
• Requirements • 5–10 years of relevant experience in cost management, data analytics, business intelligence, or cost controls — preferably in Semiconductor, Cleanroom, or large-scale capital environments. • Bachelor's degree in Business, Engineering, Data Science, Procurement, or a related field.
• Master's degree a plus. • Advanced data analytics & visualization: Excel (advanced), Power BI, Tableau, Python (pandas, NumPy, matplotlib), R. • Database & querying: SQL (proficient), Microsoft Access, Snowflake, or similar relational/cloud database platforms. • Data pipeline & integration: Experience with ETL/ELT tools, data connectors, and API-based integrations between enterprise platforms. • AI & automation tools: Familiarity with AI-assisted analytics platforms, Power Automate, Python scripting for automation, or RPA tooling; exposure to ML concepts and Generative AI tools (e.g., Copilot, ChatGPT APIs) is a strong plus. • Procurement & ERP systems: SAP, Scout, or equivalent procurement platforms. • Knowledge of project management methodologies and collaboration platforms: SharePoint, Microsoft 365 ecosystem. • Excellent written and verbal communication skills in both English and Mandarin (fluency required). • Demonstrated ability to present complex data-driven insights to senior and executive leadership.
• About Micron Technology, Inc.
• We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all .
• With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands.
• Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.
• To request assistance with the application process and/or for reasonable accommodations, please contact at hrsupport_taiwan@micron.com .
• Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
• Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
• AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials.
• However, all information provided must be accurate and reflect the candidate's true skills and experiences.
• Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
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