Analyst, Supply Chain Planning
Indexed description
Responsibilities include, but not limited to:
- Production Capacity Planning: Monitor and optimize allocation across multiple front-end wafer fabrication (fabs) facilities.
- Driving solution development, change management, customer communications, monitoring of department efficiencies, and managing both long and short-term customer delivery plans.
- WIP Tracking & Lead Time Optimization: Manage Work-in-Progress (WIP) tracking metrics across global foundries to identify and resolve transit delays and/or yield excursions.
- Advanced Supply Chain Analytics: Build predictive models and dashboards to evaluate multi-tier supply chain risks, component shortages, and supplier delivery performance.
- Demand & Supply Balancing: Synthesize highly volatile market forecasts with long foundry lead times (often 12–26+ weeks) to drive Master Production Scheduling.
- Inventory Optimization: Review safety stock thresholds for critical raw materials, substrates, and finished die to minimize excess inventory and obsolescence while ensuring high customer fulfillment.
- Cross-Functional Collaboration: Partner closely with Global Sourcing Managers, Product Engineering, Finance, and Logistics teams to support New Product Introduction (NPI) ramps.
- Identifying business opportunities and creative solutions to complex problems.
- Responsible for preparation, analysis and presentation of key SCM metrics, performance against targets and trends to senior management and improve the metrics over time to drive increased productivity and profitability.
- Education: Bachelor's or Master’s degree in Supply Chain Management, Industrial Engineering, Operations Research, Data Analytics, or related technical discipline.
- Industry Experience: 4+ years of dedicated supply chain experience, with at least 2 years operating directly within a semiconductor or high-tech hardware manufacturing environment.
- ERP & Planning Software: Advanced proficiency utilizing top-tier SCM solutions like Oracle Fusion Cloud, SAP S/4HANA, Blue Yonder/JDA, Kinaxis, or NetSuite.
- Data & Analytics Tools: Deep knowledge of data visualization software (such as Tableau and/or Power BI) and strong spreadsheet modeling capabilities.
- Domain Expertise: Firm understanding of chip fabrication flows, die-sorting metrics, substrate constraints, and manufacturing yield calculations.
- Lean Manufacturing or Six Sigma Experience
- Highly proficient with database querying tools like SQL, or statistical programming languages like Python/R.
- Proven experience managing geographic supply risks, cross-border logistics, and cleanroom capacity dependencies.
Required Travel: Yes, 10% of the time
Shift Type: 1st Shift/Days
The expected wage range for a new hire into this position is $86,400 to $118,800.
- Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.
- This position qualifies for a discretionary performance-based bonus which is based on personal and company factors
- This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.
- Benefits for the position includes 10 paid holidays per year, paid vacation starting at 136 hours per year for full-time employees (prorated for part-time employees), and paid sick time that exceeds the requirements of the Washington State Sick Leave law.
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