Requirements:
- 3-5 years of professional experience
- Strong understanding of data pipelines, data processing and automation
- Hands-on experience with DataBricks, ElasticSearch or Power BI
- Experience with scripting or programming for data analysis and automation
- Experience working with different formats such as hdf5, mf4, tdms, pcap, pcapng, or similar
- Strong analytical thinking and problem-solving skills
- Ability to explain complex findings and translate them into a simple and structured manner
- Experience working with cross-functional teams
Responsibilities:
- Develop, maintain, and automate KPIs for vehicle and fleet function performance
- Analyze, debug and map vehicle-related data using third-party tools
- Support end-to-end data pipeline activities, from data extraction and transformation to visualization
- Create and maintain dashboards and reporting tools
- Build and monitor fleet data campaigns and generate metric reports
- Support live monitoring and visualization of incidents through geolocation and road segment
- Apply engineering best practices for code reviews, testing, documentation and workflows
- Collaborate with both development and non-technical teams to communicate analytical findings clearly