Data Analyst for Residual Value

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