AI Product Analyst in London

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. 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?’

Why This Role Sits in Product

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.

This Role Exists To

• Elevate the rigour of how we experiment
• Strengthen the quality of product discovery
• Quantify value in ways that hold up to scrutiny
• Improve the decisions we make — and how fast we make them

What You’ll Do

EXPERIMENTATION & CAUSAL ANALYSIS

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.

PRODUCT DISCOVERY & INSIGHT GENERATION

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.

STRATEGIC VALUE QUANTIFICATION

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.

ANALYTICAL STORYTELLING & WRITTEN COMMUNICATION

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.

What We’re Looking For

Core Capabilities

• EXPERIMENTATION & ANALYTICAL MINDSET: Strong statistical reasoning and comfort with causal thinking (not just descriptive); Proven experience designing and analysing A/B tests or controlled experiments; Ability to move from data to recommendation with confidence and clarity.
• PRODUCT DISCOVERY ORIENTATION: Comfortable operating in ambiguity and forming a point of view without being told where to look; Can translate messy business problems into sharp analytical questions; Understands product trade‑offs: growth vs. efficiency, precision vs. recall, speed vs. rigour.
• EXCEPTIONAL WRITTEN COMMUNICATION: Writes structured, concise insight documents that get to the point; Thinks clearly and communicates complexity simply; Comfortable presenting findings and recommendations to cross‑functional and senior audiences.

Technical Toolkit

• CORE ANALYTICS & EXPERIMENTATION: Advanced SQL; Python for analysis and modelling; Familiarity with experimentation platforms or statistical packages.
• CLOUD & DATA ECOSYSTEM: Experience in modern cloud data environments (Google Cloud strongly preferred); Familiarity with BigQuery, Analytics Hub, dbt or ELT workflows; Understanding of data lineage, quality frameworks, and schema design; Comfort navigating multi‑source datasets spanning operational, behavioural, and customer domains; Exposure to APIs, model outputs, and data products surfaced via dashboards or AI interfaces.
• PRODUCT & INSIGHT DELIVERY TOOLING: BI and dashboarding tools: Looker, Tableau, PowerBI, or equivalent; Jira, Confluence, and collaborative documentation practices; Git‑based or version‑controlled analytical environments (preferred); Strong grounding in data privacy, governance, and responsible PII handling.
• AI/ML CONTEXT: Experience embedded in AI/ML product teams; Ability to interpret model behaviour, performance trade‑offs, and data constraints.

Ideal Background

• 5+ years in Product Analytics, Growth Analytics, or a data‑intensive role in Telco, Tech, a Startup, or Consulting.
• Direct experience partnering with Product Managers and/or Strategy Managers.
• Exposure to AI/ML product environments.
• Background in high‑growth or experimentation‑driven organisations preferred.

Culture Fit

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.

You’ll Fit Right In If You

• Lead 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.
• Combine 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?”
• Communicate like it matters. You write clearly, structure your thinking, and know that an insight no one understands is an insight wasted.
• Make the team better. You share what you learn, raise the standard of work around you, and treat continuous improvement as a daily habit.
• Collaborate without ego. You partner closely with PMs, data scientists, and commercial stakeholders. You’re confident in your perspective but genuinely open to being wrong.

Who We Are

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.

What’s in it for You?

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.