Residual Value & Data Analyst (Automotive)

TL;DR

Residual Value & Data Analyst (Automotive): Analyzing historic and current residual value trends and creating forecasts for major European markets with an accent on statistical modeling and data-driven insights. Focus on building Tableau dashboards, presenting complex analysis to clients, and automating processes to support vehicle launch activities.

Location: Remote (Europe)

Company

A global leader in data, analytics, and industry expertise, powering auto-related decisions through proprietary insights and seamless workflows.

What you will do

• Analyze historic and current residual value trends across major European markets.
• Build and maintain statistical models using R or Python.
• Create and manage Tableau dashboards and client-ready visualizations.
• Present analytical results to customers and support vehicle launch activities.
• Improve internal processes through automation and data-driven solutions.
• Align forecasts with market observations from local industry experts.

Requirements

• Degree in data science, statistics, economics, business, or a related field.
• Strong understanding of European automotive and residual value dynamics.
• Proficiency in R or Python for data management and modeling.
• Experience with Tableau for data visualization.
• Ability to explain complex analysis in a clear and effective manner.
• Proactive and well-organized approach to project management.

Culture & Benefits

• Work within a global corporation with deep industry expertise.
• Commitment to a diverse and inclusive workforce.
• Opportunity to influence commercial decisions for major OEMs.
• Focus on innovation, collaboration, and data-driven results.