At a Glance
- Tasks: Lead analytics strategies and audits, shaping client measurement approaches.
- Company: Fast-growing analytics agency with a family-feel culture.
- Benefits: Competitive salary up to £70K, fully remote work, and mentorship opportunities.
- Other info: Work in a close-knit team with real impact on clients' data strategies.
- Why this job: Join as an early team member and influence the agency's growth.
- Qualifications: 3+ years GA4 experience, strong GTM knowledge, and a self-starter mindset.
Want to learn from two of the UK's leading Google Marketing Platform experts, while genuinely shaping the direction of a fast-growing analytics agency? This is a newly created senior role with a scale-up that helps clients embed data at the heart of their business strategy — specialising in measurement, privacy and activation across the Google Marketing Platform. You'll join as an early team member with real influence over how the agency grows, not just another hire filling a seat.
What you'll be doing:
- Partnering with clients to define and develop measurement strategy
- Leading analytics audits for new business, and delivering full GA4 configurations
- Working directly with client developers to design dataLayer schemas
- Implementing GA4 across GTM, Tealium and other tag management platforms
- Owning client relationships as a true partner — not a supplier
- Line managing and mentoring a small delivery team
- Staying ahead of trends and innovation across web analytics and data
What you'll bring:
- 3+ years' hands-on experience, working at expert level with GA4 — essential
- Strong GTM knowledge — essential
- Broader GMP experience: BigQuery, Looker Studio, DV360, SA360
- A track record delivering technically complex projects across varied industries
- Comfort with JavaScript, jQuery, CSS, Python or HTML
- Experience managing or mentoring others
- A self-starter mindset — curious, driven, client-obsessed
The details:
- Up to £70,000 depending on experience
- Fully remote — must be based in the UK with the right to work in the UK
- Close-knit, family-feel culture with real say in the agency's future
If you're technically sharp, love solving complex analytics problems, and want a role where your voice actually matters — we'd love to hear from you.
GA4 Analytics Manager employer: Vermillion Analytics
Vermillion Analytics is an exceptional employer that prioritises employee growth and development within a collaborative work culture. Located in Ewell, our office-based environment fosters a strong sense of community, allowing you to become a true expert in our software platform while enjoying competitive benefits and a salary of up to £45,000, depending on experience.
StudySmarter Expert Advice🤫
We think this is how you could land GA4 Analytics Manager
✨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 Vermillion Analytics!
✨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 GA4 Analytics Manager at Vermillion Analytics.
✨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 Vermillion Analytics.
✨Apply Directly through Our Website
When you find a suitable opening like GA4 Analytics Manager at Vermillion Analytics, 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 GA4 Analytics Manager
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 Vermillion Analytics, 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 Vermillion Analytics. 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 Vermillion Analytics
✨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 Vermillion Analytics!
✨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.
