[6 months, 4-5 days/week] Name of Project: Product liability and product safety data analysis, budget data analysis, and public data research and analysis Objectives: - The intern will participate in various projects within the Product Liability and Product Safety team & Field Measure implementation team. Projects include but are not limited to field measure data analysis, budget data analysis, and public data research and analysis, along with other after-sales field topics. These projects aim to enhance product safety for Mercedes customer, improve teamwork efficiency, and facilitate the successful execution of various initiatives. Main Tasks: - Field measure data analysis: Engage in different campaign projects, utilize Python for data processing, and generate reports to establish goals and monitor progress. - Budget data analysis: Handle departmental and team budget data and produce reports. - Public data research & analysis: Collect and analyze public data from different channels to derive insights. - Collaboration: Work with other groups to support a variety of tasks. Learning Opportunities: - Gain skills in data analytics and presentation. - Develop project management skills. - Acquire knowledge of the automotive after-sales product safety business. Key Qualifications: - Experience in data analysis with Python, with proficiency in data processing and analysis. - Proficiency in MS Excel, PowerPoint, etc. - Experience in data visualization using Power BI or Minitab is a plus. - Good communication & presentation skill. - Patience for problem-solving and a pioneering spirit for driving data accuracy. - With basic knowledge of automotives Language: Chinese: Proficient English: Conversational Education: Degree: Bachelor or above Major: Engineering, Scientific, Automotive relevant preferred