Senior Product Analyst

Requirements

• A Challenger Mindset: You are allergic to "how it's always been done around here" and prefer to ask "Why?"
• Technical Foundations: Proficient SQL skills and experience with visualization tools (Looker, Power BI), web analytics (GA, Amplitude)
• Analytical Grit: You have the resilience to handle honest data and the curiosity to dig deeper when a plan isn't working
• Commercial Awareness: Confident operating autonomously in a scaling environment, balancing detail with commercial context
• Dynamic Spark: You bring a restless energy and a genuine desire to help us become the undisputed challenger in the UK used car Classifieds marketplace

What the job involves

• As a Senior Product Analyst, you’ll own how we measure success, shape the frameworks that guide product decisions, and lead others to embed data-driven thinking across our product teams.
• You’ll move seamlessly from strategic thinking to hands‑on delivery; defining scalable frameworks to drive experimentation maturity and product measurement, partnering with a range of stakeholders to turn insight into meaningful business impact, and coaching others to raise the bar on how we use data to learn fast and scale what works.
• You’ll be a trusted partner to not only Product, Engineering and Marketing, but also our Commercial & Account Management teams - influencing decisions through clarity, storytelling, and commercial insight - living our ‘Better Together’ value.
• Fuel the Momentum: Analyse product performance; moving beyond typical funnel metrics, into advanced segmentation, propensity modelling & cohort analysis. You’ll identify pain points and opportunities - making valuable recommendations. You don’t wait for a ticket; you pro‑actively find opportunities to deliver insight.
• You’ll leverage funnel forensics to pinpoint friction and leakage in the user journey, and develop our behavioural analytics capabilities to understand how users interact with features and what actions drive conversion.
• Progress over Perfection: Run A/B tests and experimentation outcomes, to get real‑world data and iterate fast - You’ll partner closely with Product & Technology to ensure the optimal balance of rigorous experimentation practice, whilst maintaining release velocity. You’ll develop robust hypotheses, conduct pre/post analysis, and bring statistical rigor to the experimentation process.
• Fearless Storytelling: Use SQL (Databricks via DBT), Power BI, and Google Analytics to translate complex data into clear, persuasive stories & recommendations. You’ll be expected to speak up in the room, even if the data tells a tough story. The tools are how you’ll get the data, but your story‑telling abilities will provide the crucial “so what?”
• Build the Baseline: Help maintain our data taxonomy and event tracking standards. You’ll ensure our data is clean so our decisions can be "bold." Beyond governance, you’ll act as a domain expert across our digital tooling suite: advising on tagging requirements, event tracking implementation, and attribution; partnering with Engineering to ensure our instrumentation keeps pace with product development.
• Smash Silos: Partner with Product Managers to validate hypotheses and size opportunities. We win when the whole team succeeds. You’ll become a trusted member of the team(s) that you support - becoming a consultative subject matter expert where your voice is as valuable as your insights.
• Make it self‑serve: Build, either yourself or with specific BI & Analytics colleagues, data products that empower stakeholders to investigate and answer their own questions. You’ll provide guidance, governance and training to raise & maintain the standards for data fluency. The goal is a data‑literate product organisation, not an Analytics Team bottleneck - freeing your time for deeper insights.