Data Analyst Collaborator

• Support the data analysis team in collecting, processing, checking, and visualizing data from ADAS/ADS vehicle testing activities.
  
• The candidate will receive on-the-job guidance on vehicle operational data and basic log analysis, while gaining practical exposure to ADAS/ADS and autonomous driving technologies.
  

Key Responsibilities

• Collect, consolidate, and check data from vehicle testing activities based on provided guidelines.
  
• Clean, organize, and standardize data for analysis.
  
• Use Excel/Python to perform basic data processing and analysis.
  
• Check data quality and identify missing, inconsistent, or abnormal data.
  
• Analyze selected testing KPIs/metrics based on predefined criteria.
  
• Create tables, charts, and reports to summarize analysis results.
  
• Support the maintenance and update of data dashboards/reports.
  
• Cross-check log data with test information when required.
  
• Support other data analysis tasks assigned by the team leader.
  
• No in-depth knowledge of CAN/DBC or ADAS/ADS is required. Relevant technical knowledge will be provided through on-the-job training.
  

Requirements

• 3rd–4th year university student majoring in Automotive, Engineering, IT, Data Science, Mathematics & Informatics, or related fields.
  
• Basic knowledge of data analysis and data processing; experience with relevant academic or personal projects is a plus.
  
• Good command of Excel; knowledge of Python/Pandas and SQL is a plus.
  
• Basic knowledge of Data Visualization (Excel, Power BI, Tableau, etc.) and the ability to present analysis results using tables and charts.
  
• Good English skills, logical thinking, attention to detail, and basic knowledge of automotive/ADAS/ADS are advantages.
  

Benefits

• Attractive salary and competitive benefits package.
  
• Receive training and hands-on guidance in Data Analysis and ADAS/ADS testing data.
  
• Gain exposure to real-world data from vehicle testing activities.
  
• Develop practical skills in Python, data processing, and data visualization.
  
• Gain knowledge and practical exposure to ADAS/ADS and autonomous driving technologies.
  
• Work in a practical environment suitable for students pursuing careers in Data, AI, or Automotive.
  
• Career development opportunities, including potential promotion to an Engineer position after the training period, subject to individual performance and recruitment needs.