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阿斯麦
Manufacturing - Industrial Engineer (Business Engineer) - Tainan

Manufacturing - Industrial Engineer (Business Engineer) - Tainan

发布于 2 天前

普通员工/个人贡献者

Tainan, Taiwan
高级经验
全职员工
仅现场办公
本科
生产管理
Data Analytics
Lean
Power Bi
Process Improvement
Sap
Stakeholder Management

AI 估算 · 20k–35k

资深岗位结合数据分析与流程优化,技能门槛高,半导体行业薪酬有竞争力。

职位详情

关于这个职位

这是一个位于台南的资深工业/业务工程师岗位,加入全球领先的半导体设备制造商阿斯麦

您将负责产能规划、绩效指标与数据看板,并通过精益项目和流程改进提升工厂运营效率,需要与各层级部门协作
适合有7-8年运营或业务工程经验、擅长数据分析与变革推动的专业人士

最低要求

技术工商管理、工业工程、运营、经济学、供应链管理或工商管理专业的学士/硕士学位

年(或以上)在运营导向型组织中从事业务工程或顾问的相关经验
具备业务分析、流程挖掘、建模、优化以及利益相关者/变更管理经验
熟练使用生产控制IT工具(Excel、SAP、PowerPoint、Visio)
掌握Spotfire和/或Power BI者优先
具备结合数据洞察与流程改进(服务、制造、计划)职能的经验

工作职责

资源管理

主导产能规划、资源审查和成本管理
设计、实施和维护绩效指标与仪表盘
分析数据以支持管理决策并推动运营改进
绩效管理
开发并可视化报告、仪表盘和分析解决方案
识别趋势、瓶颈和流程改进机会
标准化并记录业务流程,确保数据完整性
改进项目与持续改进
主导或支持业务改进项目和精益项目
组织工作坊并实施流程驱动变革
跟踪并评估项目收益和成果
利益相关者沟通与协作
与所有层级和部门的利益相关者协作
准备并交付演示文稿,主持会议并支持变更管理
培训并指导同事,分享最佳实践并确保一致性

优先资格

掌握Spotfire和/或Power BI者优先

AI 洞察

优缺点分析

优点

  • Work at a world-leading semiconductor equipment manufacturer, gaining exposure to advanced manufacturing environments.
  • High level of responsibility with involvement in management decisions, giving strong visibility.
  • Develop versatile skills in data analytics, process improvement, and stakeholder management.
  • Collaborate with a diverse, international team and improve communication and cross-cultural competencies.
  • Requires balancing multiple stakeholders and managing ambiguity across different functions.
  • Factory environment may involve standard working hours with occasional peak project pressure.
  • Must continuously update analytical and presentation skills to stay effective.
  • This role suits motivated professionals with 7+ years in operations or business engineering who enjoy data-backed problem solving and driving change across an organization.

缺点 / 挑战

暂无明显挑战项

角色解读

  • Opportunity to move into higher-level operations leadership, such as operations manager or factory performance lead.
  • Path towards expert roles in business analytics, process excellence, or lean deployment across ASML.
  • Potential to broaden experience into supply chain, industrial engineering, or transformation roles within the semiconductor industry.
  • Support management in resource reviews and capacity planning, ensuring efficient use of manufacturing capabilities.
  • Develop and maintain performance dashboards and analytics to identify bottlenecks and drive operational improvements.
  • Lead lean improvement projects and facilitate workshops to implement process changes.
  • Collaborate with stakeholders across all levels, communicating insights and supporting change management.
  • Strong analytical and data-driven mindset, with experience turning complex data into actionable insights.
  • Proficiency in business tools such as Excel, SAP, PowerPoint, and ideally BI tools like Power BI or Spotfire.
  • Solid understanding of manufacturing operations, process improvement methodologies (lean), and resource management.
  • Excellent stakeholder management and English communication skills to work in a multicultural environment.

申请策略

  • Tailor your CV to emphasize operational KPIs and process improvement outcomes rather than just job duties.
  • Research ASML’s manufacturing operations and its Taiwan site to show genuine interest.
  • Highlight 7+ years of experience in business engineering, operations, or continuous improvement with concrete examples of cost reduction or efficiency gains.
  • Showcase analytical projects using SAP, Power BI, or Spotfire, with visuals and dashboards.
  • Demonstrate leadership abilities, such as leading cross-functional projects, workshops, or change initiatives.
  • Emphasize English communication skills and experience working in multicultural teams.
  • If not already proficient, learn the basics of Power BI or Spotfire and practice building dashboards.
  • Strengthen knowledge of lean methodologies and process mapping to confidently discuss improvement frameworks.

面试指南

  • Use the STAR method: Situation, Task, Action, Result, focusing on quantified outcomes and your personal contribution.
  • For data-driven questions, explain your logical approach: define objectives, gather data, analyze patterns, propose actions, and measure impact.
  • For stakeholder/change questions, demonstrate empathy and communication: acknowledge concerns, involve the team early, and build buy-in.
  • Can you describe a time you used data to influence a management decision?
  • How would you approach a capacity bottleneck in a manufacturing line?
  • Tell us about a lean improvement project you led and the results achieved.
  • How do you communicate complex data insights to non-technical stakeholders?
  • Describe how you handle resistance to change during a process improvement initiative.

职位点评

71
综合评分

Senior industrial engineering role at ASML's Tainan factory, strong development potential and competitive compensation, on-site with undefined work-life balance.

从薪资福利、成长空间、工作节奏和岗位方向综合评估,方便横向比较。

更适合这类人
This role suits professionals who prioritize skill growth, analytical development, and cross-functional influence, and who are prepared for an on-site factory role.
表现最好
成长发展
相对薄弱
工作生活
薪资福利75
成长发展80
工作生活55
使命价值70

薪资福利

75中等

The role offers a senior-level position at a leading semiconductor equipment company, likely with competitive compensation and benefits, though not disclosed in the JD.

薪资信号未披露(AI估算:20K-35K/月)

成长发展

80较高

This role provides broad exposure to operations, data analytics, and lean process improvement, enhancing both technical and managerial skills.

技术前沿主流现代技术
技术栈SAP、Power BI、Spotfire、Data Analytics、Process Mining
业务类型cost_center

工作生活

55较低

The position is onsite at a factory, with no explicit work-life balance signals; manufacturing-related hours may be demanding but Tainan offers a lower-paced environment.

工作模式仅现场办公
办公地点工厂/生产基地
加班情况未提及(无法判断)

使命价值

70中等

Working at ASML in cutting-edge semiconductor manufacturing provides a sense of purpose in enabling advanced technology, though the role itself is internally focused.

行业发展高速增长赛道
社会影响中性/一般
创新程度积极采用新技术
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