Residual Value & Data Analyst

TL;DR

Residual Value & Data Analyst (Automotive): Analysing historic and current RV trends and creating RV forecasts for major European markets with an accent on aligning forecasts with market observations from local experts. Focus on building insights and statistical models using R, Python or similar tools, creating Tableau dashboards and client-ready visualisations, and presenting results to customers.

Location: Remote Europe

Company

Market-leading data and analytics provider powering auto-related decisions through proprietary data, advanced analytics, and industry expertise.

What you will do

• Analyse historic and current residual value (RV) trends and create RV forecasts for major European markets.
• Align forecasts with market observations from local experts.
• Build insights and statistical models using R, Python or similar tools.
• Create and maintain Tableau dashboards and client-ready visualisations.
• Present results to customers and support vehicle launch activities.
• Improve processes through automation and data-driven solutions.

Requirements

• Degree in data science, statistics, economics, business or similar field.
• Strong understanding of European automotive and residual value dynamics.
• Experience with R/Python, Tableau and data management.
• Proactive, well-organised, and able to explain complex analysis clearly.

Culture & Benefits

• POWER customer's success through innovation, collaboration, and data-driven decisions.
• Make things easy, get it done, start with trust.
• Committed to diverse workforce with equal consideration regardless of background.