At a Glance
- Tasks: Drive product experimentation and insights in a dynamic AI environment.
- Company: Join Virgin Media, a leader in tech innovation and inclusivity.
- Benefits: Remote work, competitive salary, and a focus on personal growth.
- Other info: Collaborative culture prioritising diversity and flexibility.
- Why this job: Make a real impact in AI product development and strategy.
- Qualifications: 5+ years in product analytics with strong SQL and Python skills.
The predicted salary is between 60000 - 75000 £ 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. You will work at the intersection of data science, product strategy, and commercial value — helping us answer not just “what happened?” Our AI PMs carry full accountability for strategy, experimentation, and value realisation.
EXPERIMENTATION & CAUSAL ANALYSIS
That means partnering with PMs on A/B tests, quasi-experiments, pilots, and rollout analysis; and building measurement frameworks for AI/ML features. 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. More than that, you'll translate complex analysis into narratives that are credible, clear, and built to withstand challenge; writing structured experiment readouts, producing insight memos with strong executive summaries, and creating documentation that codifies assumptions, methods, and decisions for the long term.
Key Skills:
- Ability to move from data to recommendation with confidence and clarity
- Advanced SQL
- Python for analysis and modelling
- 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
- Exposure to APIs, model outputs, and data products surfaced via dashboards or AI interfaces
- Looker, Tableau, PowerBI, or equivalent
- 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
- 5+ years in Product Analytics, Growth Analytics, or a data-intensive role in Telco, Tech, a Startup, or Consulting
- Exposure to AI/ML product environments
You write clearly, structure your thinking, and know that an insight no one understands is an insight wasted. You partner closely with PMs, data scientists, and commercial stakeholders. 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. That's why we focus on support, flexibility, and tools that help you prioritise what genuinely matters (at work and beyond it).
StudySmarter Expert Advice🤫
We think this is how you could land Product Analyst - Remote Working in London
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We think you need these skills to ace Product Analyst - Remote Working in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Virgin Media, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Virgin Media. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Virgin Media
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Virgin Media!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.