Python programming with pandas/numpy/scikit-learn/matplotlib
The role involves analyzing key equipment utilization rates, identifying inefficiencies and bottlenecks, and providing data support to reduce downtime and improve capacity
Job Summary
The role involves analyzing key equipment utilization rates, identifying inefficiencies and bottlenecks, and providing data support to reduce downtime and improve capacity.
Responsibilities include monitoring consumable usage standards, optimizing replacement cycles, and balancing cost with equipment stability to reduce inventory capital occupation.
The position supports production digitalization projects, IIoT data platform construction, and CMMS/EAM system optimization while ensuring compliance with data security and industrial network safety.
Matching Summary
The role involves analyzing key equipment utilization rates, identifying inefficiencies and bottlenecks, and providing data support to reduce downtime and improve capacity.
Skills & Requirements
Must-have
Industrial data analysis
SQL data extraction and processing
Python programming with Pandas/Numpy/Scikit-learn/Matplotlib
Power BI or Tableau visualization
Production equipment utilization analysis
Consumable usage efficiency monitoring
Cross-department collaboration
Nice-to-have
Logical thinking and problem solving
Data sensitivity
Written and verbal communication skills
Translate technical analysis into business actions
English proficiency
Key Requirements
Master's degree in statistics, applied statistics, data science or related
1-2 years industrial or intelligent manufacturing data analysis experience or excellent fresh graduate
Proficient English listening, speaking, reading, and writing