Range & Performance Data Analyst

We are currently looking for a Range & Performance Data Analyst to join our Concepts & Simulation team, which is part of the Attributes & Validation team in Engineering. As a Range & Performance Data Analyst, you will support the development, validation, and optimization of vehicle range and performance through data-driven analysis and simulation.

The Concepts & Simulation team is responsible for supporting vehicle development with simulation and data analysis, ensuring our products deliver competitive range, energy efficiency, and performance. You will work cross-functionally with engineering, quality, and homologation teams to contribute to both current model year improvements and future vehicle programs.

Responsibilities:

• Own and develop data analysis activities related to Polestar's in-house Vehicle System Simulation tool, Pandora, including tool validation and simulation result assessments.
• Analyze, interpret, and present simulation results to support vehicle range, performance, model year upgrades, and future vehicle programs.
• Collaborate cross-functionally with CAE engineers, quality teams, and other R&D stakeholders to drive alignment and support development activities.
• Support homologation and pre-homologation testing through simulation, analysis, and technical recommendations.
• Coordinate activities with internal stakeholders and external engineering partners, including leading investigations and task force activities related to vehicle range and performance.

Requirements:

• BSc or MSc in Mechanical Engineering, preferably within Product Development, Automotive Engineering, or equivalent experience.
• Minimum 5 years of experience within vehicle performance, simulation, CAE, data analysis, or a related automotive engineering field.
• Strong technical knowledge of vehicle systems together with proven analytical and problem-solving capabilities.
• Proficiency in MATLAB and Simulink, with coding and scripting experience used for simulation, analysis, and workflow automation.
• Strong communication and stakeholder management skills, with experience working effectively across cross-functional engineering teams.