• Support the validation and maintenance of the source of truth for digital and marketing analytics reporting using tools such as Google Analytics 4 and Adobe Analytics. • Build, maintain, and analyze standard and custom reports, explorations, funnels, and pathing to support ongoing performance reviews and optimization efforts. • Monitor performance trends and identify anomalies or unexpected changes in data, flagging issues and insights to senior analytics team members or account leads. • Work with cross-functional teams to support measurement needs tied to campaigns, site updates, and digital initiatives. • Assist in identifying opportunities for optimization by analyzing user journeys, conversion funnels, and channel performance. • Support testing and experimentation efforts by helping define success metrics, pulling results, and contributing to post-test analysis and insights. • Help identify tracking gaps or data inconsistencies and collaborate with tagging or engineering partners to support resolution using tools like Google Tag Manager or Adobe Target. • Contribute to client-ready analytics deliverables, ensuring outputs are accurate, clearly documented, and aligned with defined KPIs. • Communicate clearly and consistently in internal discussions and client meetings, supporting shared understanding of performance and insights.

• 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