At a Glance
- Tasks: Join a dynamic team to optimise digital experiences through data-driven experimentation.
- Company: Collaborate with Virgin Media, a leader in digital innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Fast-paced environment with a focus on continuous improvement and collaboration.
- Why this job: Make a real impact by enhancing customer journeys with cutting-edge analytics.
- Qualifications: 3+ years in data-driven marketing, strong analytical skills, and experience with web analytics tools.
The predicted salary is between 50000 - 60000 £ per year.
hackajob is collaborating with Virgin Media to connect them with exceptional professionals for this role.
We are looking for a Digital Experimentation (CRO) Analyst to join the VMO2 Experimentation (CRO) teams within the Digital division. You will be working in a fast-paced, ever evolving, fun and friendly cross-functional squad environment. Teams are responsible for optimising and improving the VMO2 digital experience by solving customer problems while achieving business goals, through quick cycles of data-led experiments and innovation, maintaining excellent customer experience. This role is hands-on, data-driven and impact-focused. You will be responsible for providing evaluations based on experiments while turning web analytics, funnel analysis and customer insights into clear recommendations that shape business priorities and improve outcomes across the Digital journeys.
Key responsibilities & accountabilities
- Experimentation and optimisation
- Support a wide-ranging implementation of Experimentation activities across websites using both client-side and server-side techniques.
- Build forecasting and optimisation models for strategic decisions.
- Support A/B testing and experimentation initiatives, including test design, measurement and analysis.
- Evaluate test results and provide clear recommendations on next steps.
- Contribute to a culture of continuous improvement through data-led learning and iteration.
- Drive the type of experimentation method used for the right case from AB, MAB, Multi-var, Personalisation, Stats Accelerator and others.
- Journey and funnel analysis
- Analyse end-to-end customer journeys.
- Identify drop-offs, friction points and behavioural patterns across web and mobile journeys.
- Perform funnel, cohort and path analysis to understand how customers interact with products and features.
- Translate insights into clearly articulated problems and opportunities for the squad to address.
- Web analytics and measurement
- Own and maintain product and journey dashboards, ensuring consistent and reliable reporting.
- Work with tools such as GA4, Tableau Optimizely and ContentSquare.
- Define and track KPIs such as conversion rate, drop-off, take-up, funnel completion and revenue impact.
- Ensure events, tracking and tagging are correctly implemented and fit for purpose.
- Stakeholder collaboration
- Act as the product analytics partner within the squad, translating complex data into clear, actionable insights.
- Communicate findings clearly to Product Owners, designers and engineers.
- Collaborate with central analytics and data teams to align standards, definitions and tooling.
Minimum Criteria – Candidates must demonstrate they meet all of the following criteria:
- 3+ years’ experience working in a Martech/Adtech or data-driven marketing environment.
- Knowledge or experience of Google Cloud Platform products such as BigQuery, database SQL or experience with similar cloud solutions would be desirable.
- Have a practical knowledge and passion for stats and data models and visualisation Tableu and data warehouse.
- Practical experience of using digital data - ideally Optimizely or a similar enterprise optimisation platform.
- Data processing for customer segmentation: SQL is highly desirable, Javascript including Node.js or Python would be an advantage.
- Practical experience of using data visualisation tools such as Looker and Tableau.
- Enjoys task-focused delivery, a fast pace of work, overcoming challenges by careful and swift prioritisation calls.
StudySmarter Expert Advice🤫
We think this is how you could land CRO or Experimentation Analyst (London)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Virgin Media!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like CRO or Experimentation Analyst (London) at Virgin Media.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Virgin Media.
✨Apply Directly through Our Website
When you find a suitable opening like CRO or Experimentation Analyst (London) at Virgin Media, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace CRO or Experimentation Analyst (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.
