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Business Process Analyst

Job in Santa Rosa, Sonoma County, California, 95402, USA
Listing for: Keysight Technologies
Full Time position
Listed on 2026-10-31
Job specializations:
  • IT/Tech
    Data Analyst, AI Business & Operations, Business Intelligence
  • Supply Chain/Logistics
    AI Business & Operations
Salary/Wage Range or Industry Benchmark: 96000 - 161000 USD Yearly USD 96000.00 161000.00 YEAR
Job Description & How to Apply Below
Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Responsibilities

The Technology Order Fulfillment (TOF) organization is transforming how it analyzes, plans, and operates its global supply chain by applying AI and advanced analytics within planning, supply chain, and operations functions. We are seeking an advanced-level Business Process team member who combines functional supply chain depth with practical AI and data skills. You will work with planners, operations, order fulfillment partners, fab teams, and IT to turn analytics into better decisions and faster execution that support Keysight growth.

Planning

and supply chain analytics
  • Build and maintain models for demand, supply, inventory, capacity, and lead-time analysis. Use statistical and machine learning methods (for example, forecasting, anomaly detection, and scenario analysis) to improve forecast accuracy, service levels, and working capital.
  • Analyze supply, demand, cost, and inventory data across sites to identify risks, constraints, and improvement opportunities, and recommend actions to planners and managers.
  • Support S&OP and planning cycles with data-driven insight, including supply-demand gaps, supplier and partner performance, and what-if scenarios.
Operations and fab analytics
  • Analyze manufacturing and fab performance, including cycle time, yield, WIP, throughput, and capacity, to troubleshoot issues and predict supply outcomes.
  • Provide internal customers with clear, current information on capacity, supply status, and lead times of semiconductor fab operations.
  • Support operations and supply chain projects, including planning tool, MES, and other supply chain initiatives, contributing requirements, testing, and process documentation.
AI-enabled process improvement
  • Identify and implement automation and agentic AI opportunities within planning, supply chain, and operations workflows, such as exception triage, automated reporting, and data-quality checks. Use approved AI tools, including generative AI, to reduce manual effort.
  • Program management from design, development, execution, and continual process improvement. Document current and future-state processes, define the KPIs that measure results, and track the business value delivered.
  • Monitor model and tool performance (accuracy, drift, adoption) and refine as needed, keeping a human in the loop for key decisions.
  • Extend AI-enabled planning and operations workflows onto Snowflake AI, building governed data products, AI-assisted analytics, and automated reporting that draw on Oracle ERP, planning, and MES data.
Data and collaboration
  • Improve data integrity and quality across internal supply chain nodes, partnering with data owners and IT on definitions, governance, and integration from Oracle ERP, planning systems, and MES.
  • Build dashboards and reports that give functional teams self-service insight.
  • Present findings and recommendations to cross-functional teams, and coach colleagues on using new analytical and AI tools.
Qualifications

Required

  • Bachelor’s degree in a technical field (mathematics, statistics, operations, information systems,…
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