{"id":893925,"url":"https://alion.io/job/silicon-labs-senior-lead-operations-analyst","title":"Senior Lead Operations Analyst","company":{"id":44123,"name":"Silicon Labs","domain":"silabs.com","url":"https://alion.io/company/silabs","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":76,"open_postings":17,"ghost_share":0,"stale_share":0.941,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Analytics","role_family":"Analytics","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":52000,"max_usd":106000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Confluence","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Incident Management","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SharePoint","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-09-04T00:00:00Z","employer_posted_date":"2026-09-04","last_verified_at":"2026-11-04T23:44:42Z","board_verified":true,"closed_at":null,"days_open":62,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":62},"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 atwww.silabs.com.\nThe 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.\nJob Duties:\nAccountable for end-to-end supply-planning solution, ensuring that planning processes, system output, and business workflows operate reliably.\n\nServe as the primary point of contact for business users to address operational questions, resolving functional issues, and guiding effective use of the planning platform.\n\nInvestigate supply-planning exceptions by tracing master data, transactional data, transformation logic, configurations, and downstream calculations.\n\nGather and refine supply-chain business requirements and translate them into scalable functional and technical solution designs.\n\nConfigure, enhance, and troubleshoot o9 supply-planning models, measures, workflows, views, dashboards, and business logic.\n\nSupport data integration between SAP, o9, and enterprise data platforms, including mappings, sequencing, validations, and error handling.\n\nDesign, develop, and maintain SQL- and Python-based data pipelines, transformations, analytical datasets, automation, and operational controls.\n\nPerform data profiling, quality validation, and cross-system reconciliation to ensure supply-chain data is complete, accurate, consistent, and timely.\n\nEnable solution delivery through impact assessment, design reviews, testing, user acceptance, deployment, hypercare, root-cause analysis, and continuous improvement.\n\nCollaborate across operations, IT, and business teams; communicate risks and priorities, ensure support documentation is maintained and updated.\n\nEducation and Experience:\nBachelor's degree in supply chain, engineering, information systems, computer science, analytics, or a related discipline, or equivalent practical experience.\n\nExperience supporting or delivering enterprise supply-planning solutions, preferably in a high-tech manufacturing, semiconductor, or complex supply-chain environment.\n\nExperience must include:\nStrong knowledge of supply planning processes, master data and manufacturing operations transactional data.\n\nHands-on experience with o9 mPower or similar platforms, managing configuration, enhancement, troubleshooting, and implementation.\n\nExperience working on enterprise datawarehouse data transformation, data integration and data quality management.\n\nAbility to translate business requirements into functional and technical designs, quality assurance of solution during development and deployment in production.\n\nRequired Knowledge, Skills and Abilities:\nSupply-planning process and advanced planning-system (APS) experience.\n\no9 mPower configuration and support experience preferred.\n\nIntermediate to advanced SQL skills and practical Python / R programming experience.\n\nStrong stakeholder communication, requirements analysis, solution design, and issue-management skills.\n\nExperience with batch orchestration, monitoring, alerting, incident management, APIs, and ETL/ELT framework.\n\nFamiliarity with visualization tools such as Power BI or Tableau and collaboration / workflow tools such as Confluence, SharePoint, and JIRA\n\nSilicon Labs is an equal opportunity employer and values the diversity of our employees. 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