6 дней назад
Senior Lead Operations Analyst (Supply Chain)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Lead Operations Analyst (SQL/Python/o9): Supporting and enhancing enterprise supply-planning solutions, integrating SAP, o9, and data platforms with an accent on data pipelines, solution design, and supply-chain data quality. Focus on troubleshooting planning models, tracing complex data issues, validating cross-system reconciliations, and delivering reliable production workflows.
Location: Singapore
Company
develops low-power wireless connectivity and embedded technologies for smart home, industrial IoT, and smart cities applications.
What you will do
- Own end-to-end supply-planning solutions, ensuring reliable planning processes, system outputs, and business workflows.
- Support business users, resolve functional and data issues, and guide effective use of the planning platform.
- Investigate supply-planning exceptions across master data, transactional data, transformation logic, configurations, and downstream calculations.
- Configure, enhance, and troubleshoot o9 supply-planning models, workflows, dashboards, and business logic.
- Design and maintain SQL- and Python-based data pipelines, transformations, analytical datasets, automation, and operational controls.
- Support solution delivery through impact assessment, design reviews, testing, deployment, hypercare, root-cause analysis, and continuous improvement.
Requirements
- Bachelor’s degree in supply chain, engineering, information systems, computer science, analytics, or a related discipline, or equivalent practical experience.
- Experience supporting enterprise supply-planning solutions, preferably in high-tech manufacturing, semiconductors, or complex supply-chain environments.
- Strong knowledge of supply-planning processes, master data, and manufacturing operations data.
- Hands-on experience with o9 mPower or similar advanced planning platforms, including configuration, enhancement, troubleshooting, and implementation.
- Experience with enterprise data warehouse transformation, data integration, data quality management, APIs, ETL/ELT, batch orchestration, monitoring, and incident management.
- Intermediate to advanced SQL, practical Python or R programming, requirements analysis, solution design, quality assurance, and stakeholder communication skills.
Nice to have
- Experience with Power BI or Tableau.
- Familiarity with Confluence, SharePoint, and JIRA.
Culture & Benefits
- Full-time employment.
- Collaboration across operations, IT, and business teams.
- Work in a company focused on embedded connectivity, industrial IoT, smart homes, and smart cities.
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