Magenta EV Solutions - Data Analyst - Logistics Operations

About:

- Design and develop AI-driven solutions for EV fleet cross-utilization challenges, including optimizing vehicle sharing across routes, clients, and time slots to maximize yield per asset.
- Handle and analyze data related to cross-utilization of vehicles, identifying patterns in usage, downtime, and efficiency to inform asset deployment strategies.
- Advise and lead prioritization of research areas supporting data management, governance, and optimization of EV fleet performance, with a focus on reducing breakdowns through predictive analytics.
- Collaborate with business and corporate functions to identify and co-develop solutions focused on logistics challenges, such as demand forecasting, route optimization, and strategies to ensure smooth operations across the fleet.
- Analyze large datasets to uncover trends, patterns, and insights that improve EV fleet efficiency, increase yield per deployed asset, track vehicle breakdowns, and propose actionable strategies for preventive maintenance and operational improvements.

- Build and maintain critical data pipelines and architectures across technical areas to support Magenta Mobilitys business objectives in EV logistics and asset management.
- Communicate complex findings and recommendations such as cross-utilization metrics and breakdown risk assessments to technical and non-technical stakeholders through compelling data visualizations and reports.
- Mentor junior data scientists and contribute to fostering a data-driven culture focused on sustainable transportation and fleet optimization.