Senior Business Process Analyst II

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 worlds 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.

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:

• Bachelors 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.