Data Analyst Collaborator

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Position Purpose

• 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.