Job Description hackajob is collaborating with Virgin Media to connect them with exceptional professionals for this role. \n We are looking for a Senior Product Analyst to sit within our AI Product Management function and partner directly with Product Managers to drive experimentation, product discovery, and performance insight across our AI portfolio. This position is embedded in product strategy and plays a critical role in shaping hypotheses, designing experiments, validating impact, influencing roadmap decisions, interpreting results, and translating insights into strategic product decisions. \n You will work at the intersection of data science, product strategy, and commercial value helping us answer not just what happened? but what should we build next and why? \n Why This Role Sits in Product \n \n Our AI PMs carry full accountability for strategy, experimentation, and value realisation. To do that well, they need deep analytical partnership embedded in the product lifecycle. \n This role exists to: \n \n \nElevate the rigour of how we experiment \n \n\n \n \nStrengthen the quality of product discovery \n \n\n \n \nQuantify value in ways that hold up to scrutiny \n \n\n \n \nImprove the decisions we make and how fast we make them \n \n\n What You ll Do \n \n EXPERIMENTATION CAUSAL ANALYSIS \n You ll work on end-to-end experimentation: from design through to recommendation. That means partnering with PMs on A/B tests, quasi-experiments, pilots, and rollout analysis; defining success metrics that connect to real business outcomes; and building measurement frameworks for AI/ML features. Crucially, you won t just report what happened you ll articulate causal impact and make a clear call on whether to scale, iterate, or sunset. \n PRODUCT DISCOVERY INSIGHT GENERATION \n You ll dig into customer patterns, surface friction points, and identify opportunity spaces that aren t yet visible on the roadmap. Working across operational, performance, and customer data, you ll build dashboards and monitoring frameworks that keep the team oriented on what matters and partner with Data Science to make sense of model outputs and performance trade-offs. \n STRATEGIC VALUE QUANTIFICATION \n You ll put numbers behind the things that matter most: revenue impact, cost reduction, churn prevention, and customer experience. More than that, you ll translate complex analysis into narratives that are credible, clear, and built to withstand challenge; giving PMs the evidence they need to make the case. \n \n ANALYTICAL STORYTELLING WRITTEN COMMUNICATION \n You ll set the standard for written analytical output within the product team; writing structured experiment readouts, producing insight memos with strong executive summaries, and creating documentation that codifies assumptions, methods, and decisions for the long term. \n What We re Looking For \n \n Core Capabilities \n EXPERIMENTATION ANALYTICAL MINDSET \n \n \nStrong statistical reasoning and comfort with causal thinking (not just descriptive) \n \n\n \n \nProven experience designing and analysing A/B tests or controlled experiments \n \n\n \n \nAbility to move from data to recommendation with confidence and clarity \n \n\n PRODUCT DISCOVERY ORIENTATION \n \n \nComfortable operating in ambiguity and forming a point of view without being told where to look \n \n\n \n \nCan translate messy business problems into sharp analytical questions \n \n\n \n \nUnderstands product trade-offs: growth vs. efficiency, precision vs. recall, speed vs. rigour \n \n\n EXCEPTIONAL WRITTEN COMMUNICATION \n \n \nWrites structured, concise insight documents that get to the point \n \n\n \n \nThinks clearly and communicates complexity simply \n \n\n \n \nComfortable presenting findings and recommendations to cross-functional and senior audiences \n \n\n Technical Toolkit \n CORE ANALYTICS EXPERIMENTATION \n \n \nAdvanced SQL \n \n\n \n \nPython for analysis and modelling \n \n\n \n \nFamiliarity with experimentation platforms or statistical packages \n \n\n CLOUD DATA ECOSYSTEM \n \n \nExperience in modern cloud data environments (Google Cloud strongly preferred) \n \n\n \n \nFamiliarity with BigQuery, Analytics Hub, dbt or ELT workflows \n \n\n \n \nUnderstanding of data lineage, quality frameworks, and schema design \n \n\n \n \nComfort navigating multi-source datasets spanning operational, behavioural, and customer domains \n \n\n \n \nExposure to APIs, model outputs, and data products surfaced via dashboards or AI interfaces \n \n\n PRODUCT INSIGHT DELIVERY TOOLING \n \n \nBI and dashboarding tools: Looker, Tableau, PowerBI, or equivalent \n \n\n \n \nJira, Confluence, and collaborative documentation practices \n \n\n \n \nGit-based or version-controlled analytical environments (preferred) \n \n\n \n \nStrong grounding in data privacy, governance, and responsible PII handling \n \n\n AI/ML CONTEXT \n \n \nExperience embedded in AI/ML product teams \n \n\n \n \nAbility to interpret model behaviour, performance trade-offs, and data constraints \n \n\n Ideal Background \n \n \n5+ years in Product Analytics, Growth Analytics, or a data-intensive role in Telco, Tech, a Startup, or Consulting \n \n\n \n \nDirect experience partnering with Product Managers and/or Strategy Managers \n \n\n \n \nExposure to AI/ML product environments \n \n\n \n \nBackground in high-growth or experimentation-driven organisations preferred \n \n\n Culture Fit \n \n This role sits at the heart of a team that moves fast, thinks carefully, and holds itself to a high standard. We re looking for someone who thrives in that environment; not just technically, but in how they show up every day. \n You ll fit right in if you: \n \n \nLead yourself well in ambiguity. You don t wait to be told what matters. You form a point of view, pressure-test it, and bring others along with you. \n \n\n \n \nCombine rigour with curiosity. You care about getting things right, but you re just as energised by the questions you haven t answered yet. You ask why? as naturally as you ask what? \n \n\n \n \nCommunicate like it matters. You write clearly, structure your thinking, and know that an insight no one understands is an insight wasted. \n \n\n \n \nMake the team better. You share what you learn, raise the standard of work around you, and treat continuous improvement as a daily habit. \n \n\n \n \nCollaborate without ego. You partner closely with PMs, data scientists, and commercial stakeholders. You re confident in your perspective but genuinely open to being wrong. \n \n\n Who We Are \n \n At Virgin Media O2, we re going All In: working hard to remove bias and barriers for our people and our candidates, as we pursue bold ambitions to better represent the diverse communities we serve across the UK. As an equal opportunities employer, we want you to bring your authentic self to every step of your application journey. We believe the best ideas come from teams that reflect the world around them. \n What s in it for You? \n \n We know that benefits are about much more than the stuff we can offer. That s why we focus on support, flexibility, and tools that help you prioritise what genuinely matters (at work and beyond it). We re committed to evolving how we work so that great work and a great life aren t in competition.
Read Less
