Data Analyst for Residual Value

Job Summary

A company is looking for a Residual Value & Data Analyst.

Key Responsibilities

• Analyze historic and current residual value trends and create forecasts for European markets
• Build insights and statistical models using R, Python, or similar tools, and maintain Tableau dashboards
• Present results to customers and support vehicle launch activities while improving processes through automation

Required Qualifications

• Degree in data science, statistics, economics, business, or a related field
• Strong understanding of European automotive and residual value dynamics
• Experience with R/Python and Tableau
• Proactive and well-organized
• Comfortable explaining complex analysis clearly