Data Analyst Collaborator

With respect to all your personal data shared to VinFast in the application and the entire recruitment process of VinFast, by clicking “Apply”, submitting your resumé/CV and/or participating in VinFast's recruitment process, you agree that you have read VinFast's Personal Data Protection Policy ("Policy") posted at https://vinfastauto.com/vn_vi/dieu-khoan-phap-ly or https://vinfast.vn/privacy-policy/, you agree to the Policy and consent for VinFast to process your personal data in accordance with the Policy and the applicable regulations on personal data protection. To all recruitment agencies: VinFast does not accept agency resumes. Please do not forward resumes to our careers alias or other VinFast employees. VinFast is not responsible for any fees related to unsolicited resumes. 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.