Senior Lead Operations Analyst

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 (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.The Operations Data Analyst will primarily focus on supporting and enhancing supply-planning processes and solutions. The role serves as the primary liaison between supply-chain users and technical teams, monitors critical scheduled jobs, resolves day-to-day user and data issues, and architects solutions to meet business requirements. The ideal candidate should also bring strong data analytical skills, data integrations experience, ability to engineer data pipelines and good understanding of data quality assurance. Candidates with additional years of experience may be considered for a senior position.Job Duties:Accountable for end-to-end supply-planning solution, ensuring that planning processes, system output, and business workflows operate reliably.Serve as the primary point of contact for business users to address operational questions, resolving functional issues, and guiding effective use of the planning platform.Investigate supply-planning exceptions by tracing master data, transactional data, transformation logic, configurations, and downstream calculations.Gather and refine supply-chain business requirements and translate them into scalable functional and technical solution designs.Configure, enhance, and troubleshoot o9 supply-planning models, measures, workflows, views, dashboards, and business logic.Support data integration between SAP, o9, and enterprise data platforms, including mappings, sequencing, validations, and error handling.Design, develop, and maintain SQL- and Python-based data pipelines, transformations, analytical datasets, automation, and operational controls.Perform data profiling, quality validation, and cross-system reconciliation to ensure supply-chain data is complete, accurate, consistent, and timely.Enable solution delivery through impact assessment, design reviews, testing, user acceptance, deployment, hypercare, root-cause analysis, and continuous improvement.Collaborate across operations, IT, and business teams; communicate risks and priorities, ensure support documentation is maintained and updated.Education and Experience:Bachelor's degree in supply chain, engineering, information systems, computer science, analytics, or a related discipline, or equivalent practical experience.Experience supporting or delivering enterprise supply-planning solutions, preferably in a high-tech manufacturing, semiconductor, or complex supply-chain environment.Experience must include:Strong knowledge of supply planning processes, master data and manufacturing operations transactional data.Hands-on experience with o9 mPower or similar platforms, managing configuration, enhancement, troubleshooting, and implementation.Experience working on enterprise datawarehouse data transformation, data integration and data quality management.Ability to translate business requirements into functional and technical designs, quality assurance of solution during development and deployment in production.Required Knowledge, Skills and Abilities:Supply-planning process and advanced planning-system (APS) experience.o9 mPower configuration and support experience preferred.Intermediate to advanced SQL skills and practical Python / R programming experience.Strong stakeholder communication, requirements analysis, solution design, and issue-management skills.Experience with batch orchestration, monitoring, alerting, incident management, APIs, and ETL/ELT framework.Familiarity with visualization tools such as Power BI or Tableau and collaboration / workflow tools such as Confluence, SharePoint, and JIRASilicon 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.