Position Details
About this role
This role involves developing and maintaining digital twin models, managing data lakes, and performing advanced data analysis to optimize manufacturing processes in the paper industry.
Key Responsibilities
- Collaborate with departments to understand needs
- Research and develop statistical models
- Manage databases and data lakes
- Build and sustain digital twin models
- Communicate findings to stakeholders
Technical Overview
The technical environment includes Power BI, Tableau, Matlab, Minitab, PI Data Archive, PI AF, GE Proficy, with a focus on data management, digital twin development, and statistical modeling.
Ideal Candidate
The ideal candidate is a data analyst with at least 3 years of experience in manufacturing or paper industry, skilled in data mining, statistical analysis, and digital twin development. They should be proficient with Power BI, Tableau, and PI data tools, capable of managing complex data systems and driving insights.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 3 years of experience in relevant industry, No experience with digital twin or PI data tools, Lack of proficiency in Power BI or Tableau, No background in data mining or statistical analysis
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