1 день назад
Logistics BI Analyst (Power BI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Logistics BI Analyst (Power BI): Designing and delivering BI and AI solutions, analytical models, dashboards, and insights for logistics teams with an accent on Power BI, Python, and process optimization. Focus on translating complex business problems into actionable analytics, managing end-to-end solution delivery, and providing technical leadership and training within the Logistics COE.
Location: Batu Kawan, Malaysia; onsite at the Penang SDSM Office
Company
develops flash memory and advanced memory technology solutions supported by global manufacturing and supply chain capabilities.
What you will do
- Partner independently with logistics stakeholders to identify requirements and propose BI, data, and AI solutions.
- Design, develop, maintain, and support BI and AI solutions using Power BI and approved analytics platforms.
- Translate business problems into analytical models, dashboards, and actionable insights for operational and strategic decisions.
- Own end-to-end delivery, including requirements clarification, development, testing, deployment, and post-deployment support.
- Communicate project progress, provide status updates, and manage stakeholder expectations.
- Provide technical leadership, knowledge sharing, and hands-on training within the Logistics COE.
Requirements
- Bachelor’s or Master’s degree in Engineering and at least 5 years of professional industry experience.
- Strong understanding of business intelligence concepts and hands-on Power BI proficiency.
- Solid Python programming skills applied to data analysis, automation, and AI use cases.
- Ability to analyze complex datasets and transform them into clear, actionable insights.
- Strong communication, documentation, collaboration, and independent-working skills.
- Ability to work onsite at the Penang SDSM Office in Batu Kawan, Malaysia.
Nice to have
- Experience with additional BI tools such as Tableau.
- Experience supporting logistics, supply chain, or operations analytics.
- Exposure to enterprise data platforms, data lakes, or AI enablement tools.
- Experience mentoring or upskilling peers in BI or analytics technologies.
Culture & Benefits
- Inclusive environment focused on diversity, belonging, respect, and contribution.
- Support available for applicants with disabilities during the application and hiring process.
- Full-time employment in a global manufacturing and technology organization.
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