Your mission
We are seeking a motivated and skilled Student Assistant to support our eMobility team with coding, data analysis, and insights related to our EV charging infrastructure. This is an excellent opportunity for students with a background in Computer Science, Electrical Engineering, or Data Engineering to apply their skills in coding, data processing, and energy markets while making a real-world impact on sustainable energy.
- Perform data analysis and processing related to our eMobility charging infrastructure using Python and other relevant tools
- Develop and optimize code to streamline internal processes and support data-driven decision-making
- Analyze energy consumption patterns, charging behavior, and technical performance data to provide insights
- Contribute to analyses related to the electricity market, particularly in the context of the costs related to supply and transmission of electricity
- Assist in handling basic electrical engineering tasks related to EV charging systems and power distribution
- Generate data visualizations and reports using Power BI to enhance decision-making and operational efficiency
- Provide ad-hoc data analysis support to optimize service and customer experience.
- Ad-hoc practical office tasks