• Analyse residual value (RV) trends and create RV forecasts for European markets • Support Consulting and Expert teams with analysis on used car trends • Create insights and statistical models using R, Python, or comparable languages • Maintain and redesign Tableau dashboards and support team in optimising processes • Present and explain project results in front of customers and third parties • Research the market to keep knowledge and databases up to date

• Own and enhance existing subscription dashboards. Identify and fill gaps in our understanding for subscriber growth. • Work with business leaders to define key metrics and build reporting to monitor and understand performance along those metrics. • Generate insights that steer our Product testing roadmap. • Design, measure, and scale Product AB tests. • Identify and solve issues with data availability, consistency, and quality. • Identify and find solutions for operational use cases e.g. system monitoring and alerting, outlier detection, etc. • Create and deliver impactful presentations that tell a story focused on insights, not just data. • Remain detail-oriented while working across a wide variety of projects. • Work with Data Engineering to design data pipelines that help organize relevant data towards a single source of truth. • Forecast growth KPIs, identify opportunities, influence business partners, and drive effective decision-making. • Partner with Product, Marketing, Engineering, and Finance teams to help resolve broader business problems, create growth plans, establish financial and operating targets and determine optimal resource requirements. • Be part of a great team, but capable of operating independently - managing relationships, deliverables and expectations with your business partners.

• Utilize your deep product expertise and advanced analytics skills to drive decision-making across the organization • Conduct in-depth analyses, owning experimentation from end to end, developing event tracking plans, and delivering impactful reports to measure effectiveness of features • Work closely with business stakeholders, translating complex business questions into structured analyses • Support experimentation through data collection and test design, providing strategic recommendations • Partner with cross-functional teams across Product, Engineering, Revenue, Design, and Lifecycle to define analytics and experimentation roadmaps

• Drive the vision and execution of customer-facing SaaS products, data-driven features, and AI/ML solutions. • Work directly with key clients to co-develop innovative solutions. • Own the product vision and strategic roadmap for AI/ML models, data products, and analytics features. • Partner with UX, Data Science, and Sales Engineering to create impactful data visualizations. • Define clear, testable requirements based on customer feedback and market analysis. • Write precise specifications for complex data processes and transformation logic.