AI Product Analyst in London

AI Product Analyst in London

London Full-Time 60000 - 75000 ÂŁ / year (est.) Home office (partial)
hackajob

At a Glance

  • Tasks: Drive product experimentation and insights in a dynamic AI environment.
  • Company: Join Virgin Media O2, a leader in tech innovation and inclusivity.
  • Benefits: Flexible work options, competitive salary, and a focus on personal growth.
  • Other info: Collaborative culture that values curiosity and continuous improvement.
  • Why this job: Shape the future of AI products while making a real impact.
  • Qualifications: 5+ years in product analytics with strong statistical skills.

The predicted salary is between 60000 - 75000 ÂŁ per year.

hackajob is collaborating with Virgin Media to connect them with exceptional professionals for this role. 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.

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.

AI Product Analyst in London employer: hackajob

At Virgin Media O2, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As an AI Product Analyst, you'll benefit from a collaborative environment that values innovation and continuous improvement, alongside opportunities for professional growth in the fast-evolving tech landscape of the UK. With a strong commitment to diversity and employee well-being, we ensure that your contributions are recognised and that you have the tools to balance work and life effectively.
hackajob

Contact Detail:

hackajob Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Product Analyst in London

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those at Virgin Media. A friendly chat can open doors that applications alone can't.

✨Tip Number 2

Prepare for interviews by diving deep into AI product analytics. Brush up on your A/B testing knowledge and be ready to discuss how you’ve used data to drive decisions.

✨Tip Number 3

Showcase your analytical storytelling skills. Practice explaining complex data insights in simple terms, as this will impress interviewers and demonstrate your communication prowess.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step.

We think you need these skills to ace AI Product Analyst in London

Experimentation & Analytical Mindset
Statistical Reasoning
A/B Testing Design and Analysis
Data to Recommendation Translation
Product Discovery Orientation
Analytical Question Formulation
Written Communication
Structured Insight Documentation
Advanced SQL
Python for Analysis and Modelling
Cloud Data Environment Experience
Familiarity with BigQuery and Analytics Hub
BI and Dashboarding Tools (Looker, Tableau, PowerBI)
Understanding of Data Privacy and Governance
Experience in AI/ML Product Teams

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the AI Product Analyst role. Highlight your experience with experimentation, product discovery, and analytical storytelling, as these are key aspects of the job.

Show Off Your Analytical Skills: When writing your application, don’t just list your skills—demonstrate them! Use specific examples of how you've designed A/B tests or analysed data to drive product decisions. We want to see your analytical mindset in action!

Keep It Clear and Concise: Your written communication should be structured and to the point. Avoid jargon and make sure your insights are easy to understand. Remember, clarity is key when presenting complex ideas!

Apply Through Our Website: We encourage you to apply directly through our website. This way, you can ensure your application reaches us quickly and efficiently. Plus, it’s the best way to stay updated on your application status!

How to prepare for a job interview at hackajob

✨Know Your Numbers

As an AI Product Analyst, you'll need to demonstrate your analytical prowess. Brush up on key metrics related to product performance and be ready to discuss how you've used data to drive decisions in the past. Prepare examples of A/B tests or experiments you've designed and the impact they had.

✨Master the Art of Storytelling

Your ability to communicate complex insights clearly is crucial. Practice structuring your thoughts and findings into concise narratives. Think about how you can present your analysis in a way that resonates with both technical and non-technical audiences, making sure to highlight the 'so what?' of your insights.

✨Embrace Ambiguity

This role requires comfort in navigating uncertainty. Be prepared to discuss how you've tackled ambiguous problems in the past. Share specific instances where you formed hypotheses without clear direction and how you approached finding solutions. Show them you're proactive and can lead discussions even when the path isn't clear.

✨Collaborate Like a Pro

Highlight your experience working with cross-functional teams, especially Product Managers and Data Scientists. Prepare to discuss how you've partnered with others to enhance product discovery and experimentation. Emphasise your collaborative mindset and willingness to share knowledge, as this will resonate well with their team culture.

AI Product Analyst in London
hackajob
Location: London

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