Senior Business Process Analyst II
Silicon Labs · Singapore
Silicon Labs (NASDAQ: SLAB) is the leading innovator in low-power wireless connectivity, building embedded technology that connects devices and improves lives. Merging cutting-edge technology into the world’s most highly integrated SoCs, Silicon Labs provides device makers the solutions, support, and ecosystems needed to create advanced edge connectivity applications. Headquartered in Austin, Texas, Silicon Labs has operations in over 16 countries and is the trusted partner for innovative solutions in the smart home, industrial IoT, and smart cities markets. Learn more at www.silabs.com.
As a Business Process Analyst, you will improve supply-chain processes and decision making through data analysis, system expertise, and cross-functional collaboration. You will identify business and system gaps, translate needs into scalable solutions, and deliver actionable insights through dashboards and AI-enabled tools. Candidates with additional years of experience may be considered for a senior position.
Job Duties:
Supply Chain & Manufacturing
Partner with Operations stakeholders to document objectives, surface pain points, and map end-to-end process impacts across supply chain and manufacturing
Implement and run an intake/prioritization framework for Operations requests aligned to defined business criteria
Collaborate with system owners (SAP, enterprise data warehouse, and other enterprise platforms) to evaluate, streamline, and align business needs with system capabilities
Advanced Planning System & Data Analytics
Analyze and investigate planning system-related (o9) issues by tracing demand, supply, inventory, planning parameters, and master data to identify root causes and support timely resolution.
Produce problem statements, root-cause analyses, functional requirements, process flows, user stories, acceptance criteria, and test scenarios for solution delivery.
Design and maintain dashboards that provide management visibility into service, backlog, inventory, supply-demand balance, forecast, capacity, and planning exceptions.
Build and maintain approved Custom GPTs for supply-chain analytics and user self-service; establish knowledge sources, prompts, test cases, accuracy checks, access boundaries, and release documentation.
Present concise, decision-ready insights and recommended actions to Operations, Planning, Finance, and leadership.
Request & Change Management
Triage and prioritize the change/request backlog with requestors; clarify scope, acceptance criteria, and success metrics.
Evaluate process and system impacts for major changes; plan sequencing and cutovers to minimize operational disruption.
Drive cross-functional communication, risk/issue tracking, and status reporting through implementation.
Partner with technical teams through design, UAT, deployment, and post-implementation validation.
Qualifications:
Bachelor’s degree in Supply Chain, Industrial Engineering, Information Systems, or related field (or equivalent experience)
At least 3 years in supply-chain planning, manufacturing operations, business analysis, or supply-chain digital transformation; semiconductor/fabless experience preferred
Hands-on experience with o9 Solutions or a comparable advanced planning platform; SAP and enterprise data warehouse experience preferred.
Demonstrated ability to perform root-cause analysis and convert ambiguous operational questions into implementable, testable requirements.
Experience building or governing internal GenAI/Custom GPT solutions is required; familiarity with prompt design, knowledge grounding, evaluation, and responsible data handling.
Ability to explain complex analytical findings clearly to both users and technical teams.
Silicon Labs is an equal opportunity employer and values the diversity of our employees. Employment decisions are made on the basis of qualifications and job-related criteria without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other characteristic protected by applicable law.