2 дня назад
Analytics Lead (Global Manufacturing Analytics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytics Lead (Global Manufacturing Analytics) (Analytics, AI/ML): Evolving the Manufacturing Control Tower into a global platform for operational visibility, decision intelligence, and execution with an accent on executive dashboards, KPI frameworks, and scalable analytics products. Focus on applying statistics, forecasting, scenario modeling, and predictive insights while driving enterprise adoption across the global manufacturing network.
Location: Singapore-Yishun
Company
develops technologies and solutions for scientific, analytical, and manufacturing environments.
What you will do
- Own the Manufacturing Control Tower insight portfolio, product roadmap, and capability prioritization.
- Design and deliver executive-ready dashboards, KPI frameworks, and analytics solutions.
- Translate manufacturing and engineering priorities into scalable global analytics products.
- Apply statistics, business analytics, and AI/ML to forecasting, scenario modeling, and predictive insights.
- Drive stakeholder engagement, training, change management, adoption, and value realization.
- Monitor product adoption, user feedback, business outcomes, and emerging technologies to improve the portfolio.
Requirements
- Bachelor’s or master’s degree in data analytics, data science, statistics, engineering, computer science, business analytics, or a related discipline, plus 8+ years of relevant experience.
- Hands-on experience with executive dashboards, KPI frameworks, statistics, business analytics, and modern AI/ML capabilities.
- Familiarity with Power BI, Spotfire, Tableau, or similar enterprise analytics platforms.
- Experience translating business priorities into scalable analytics solutions and managing product roadmaps or digital solutions.
- Strong communication, stakeholder management, leadership, and change management skills.
- Experience in manufacturing, supply chain, quality, or industrial engineering; familiarity with Industry 4.0, cloud platforms, MES, or digital transformation is expected.
Nice to have
- PMP or Scrum Master certification.
- Experience managing large-scale, enterprise-level projects.
Culture & Benefits
- Full-time employment with a day shift and no fixed end date.
- Approximately 25% travel required.
- Pay and benefits vary by country, work location, role level, skills, experience, and education.
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