At a Glance
- Tasks: Own data analysis for ecommerce, A/B testing, and customer insights.
- Company: Join a fast-growing premium lifestyle brand with a hands-on culture.
- Benefits: Competitive salary, 23 days holiday, healthcare, and flexible working.
- Other info: Great mentorship from the Chief Growth Officer and excellent career growth.
- Why this job: Make a real impact with your data skills in a dynamic environment.
- Qualifications: Experience in digital analytics and A/B testing, ideally in ecommerce.
The predicted salary is between 38000 - 55000 £ per year.
Our client is one of the UK's fastest-growing premium lifestyle brand and its Digital Marketing team is looking for a Digital & Customer Analyst to take ownership of the data that drives it.
This is a standalone analyst role reporting directly into the Chief Growth Officer, who is genuinely hands-on with data and will give you excellent exposure and mentorship from day one.
You’ll be the go-to person for ecommerce tracking, A/B testing and customer database health, working cross-functionally with e Commerce, CRM, Performance Marketing and Development.
It’s a role with real autonomy: you won’t just be a data source people come to, you’ll be spotting opportunities, running the tests, and seeing your recommendations through to results.
What you'll be doing
- Creating, monitoring and reporting on ecommerce tracking events, keeping data accuracy and integrity front and centre across all tools and platforms.
- Building dashboards and reports on website performance, customer behaviour and sales trends, including monthly reporting to the board.
- Owning A/B testing end-to-end: devising and setting up tests with the e Commerce Manager, managing CRO agency relationships, and turning results into clear recommendations.
- Feeding data-backed insights into the website frontend development roadmap alongside the Development team.
- Building and monitoring customer cohorts to understand behaviour, lifecycle stages and churn, and analysing overall database health.
- Providing journey and channel insights to Performance Marketing to support profitable customer acquisition.
- Partnering with CRM on test plans to improve retention, engagement and lifetime value.
What we're looking for
- A mid-weight analyst with solid, hands-on experience in digital analytics, customer lifecycle analysis and A/B testing, ideally from ecommerce or another fast-paced digital environment.
- Confidence owning testing and measurement tools, and managing relationships with external CRO agencies.
- A strong analytical mindset that turns complex data into clear, commercial recommendations, not just accurate reporting.
- Experience building dashboards and reports that land with both board-level and team-level audiences.
- Proficiency with analytics and testing platforms such as Google Analytics, Content Square, Tableau or Power BI — category competence matters more than specific tool experience.
- A collaborative, cross-functional operator who’s just as comfortable with ecommerce and development as with CRM and performance marketing.
- Curiosity, drive and attention to detail, with the confidence to have a point of view and back it.
- Comfortable prioritising independently in a fast-paced, sometimes ambiguous environment.
- Location & Workplace Policy
- West London
- 3 days office, 2 days WFH
- Salary & Benefits
- £38,000 - £55,000 per annum depending on level and experience
- 23 days holiday (rising with service), pension, healthcare cash plan, enhanced parental leave, cycle to work and tech schemes
We offer equal opportunities to all candidates regardless of race, religion, gender, sexuality, disability, age, and other protected status as required by applicable law.
For further information about our DE&I commitments, please visit: www. majorplayers. co. uk/diversity-equity-inclusion/
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Digital & Customer Analyst employer: Major Players | B Corp™
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We think this is how you could land Digital & Customer Analyst
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We think you need these skills to ace Digital & Customer Analyst
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 Major Players | B Corp™, 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 Major Players | B Corp™. 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 Major Players | B Corp™
✨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 Major Players | B Corp™!
✨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.
