Senior Supply-Chain Data & Analytics Lead

Silicon Labs Careers; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Silicon Labs in Singapore seeks an Operations Data Analyst to support and enhance supply-planning processes. You will act as the primary liaison between supply-chain users and technical teams, monitor critical scheduled jobs, and architect scalable data pipelines.

The role requires strong SQL and Python skills, experience with o9 mPower, and familiarity with SAP data integration, data profiling, and quality management. A bachelor’s degree is required.

Qualifications

• Bachelor's degree in a related field.
• Experience delivering enterprise supply-planning solutions, preferably in high-tech manufacturing.
• Experience with o9 mPower configuration, troubleshooting, and support.
• Proficient in SQL and Python; data pipeline development.
• Experience with data integration, validation, and quality management.
• Strong stakeholder communication and requirements analysis.

Responsibilities

• Accountable for end-to-end supply-planning solution, ensuring that planning processes and system outputs operate reliably.
• Serve as the primary contact for business users to address operational questions and guide the planning platform usage.
• Investigate exceptions by tracing master data, transactional data, and configurations.
• Gather and refine supply-chain requirements and translate them into scalable designs.
• Design, develop, and maintain SQL- and Python-based data pipelines and dashboards.

Skills

SQL

Python

Stakeholder communication

Analytical thinking

Education

Bachelor's degree in supply chain, engineering, information systems, computer science, analytics, or a related discipline

Tools

o9 mPower

Power BI

Tableau

ETL/ELT tools

APIs

Enterprise data warehouse

Job description

Silicon Labs in Singapore seeks an Operations Data Analyst to support and enhance supply-planning processes. You will act as the primary liaison between supply-chain users and technical teams, monitor critical scheduled jobs, and architect scalable data pipelines.

The role requires strong SQL and Python skills, experience with o9 mPower, and familiarity with SAP data integration, data profiling, and quality management. A bachelor’s degree is required.