At a Glance
- Tasks: Lead analytics strategies and deliver impactful projects for diverse clients.
- Company: Fast-growing analytics agency with a client-first culture.
- Benefits: Up to £70,000 salary, hybrid working, and a supportive team environment.
- Other info: Be part of a dynamic team that values your voice and ideas.
- Why this job: Join a scale-up and shape the future of analytics while learning from industry experts.
- Qualifications: 3+ years in Google Analytics 4 and strong knowledge of Google Tag Manager.
We're recruiting on behalf of a fast-growing, dedicated analytics agency that helps clients weave data into the heart of their business strategies. Specialising in data collection, measurement, privacy and activation — primarily through the Google Marketing Platform — they work with a diverse portfolio of clients to deliver real, measurable impact.
This is a newly created senior role, joining as an early team member in an exciting scale-up environment. You'll work directly alongside two of the most experienced Google Marketing Platform practitioners in the UK, helping to shape the agency's future while delivering excellence across a broad client base. If you're a technically strong analytics professional ready to step into a role with genuine influence, this is a rare opportunity.
KEY RESPONSIBILITIES- Partner with clients to define and develop their approach to measurement strategy
- Complete analytics audits for new business meetings and deliver full GA4 configurations for clients
- Work directly with client developers to design and implement dataLayer schemas
- Implement and configure GA4 across a variety of tag management systems, including Google Tag Manager and Tealium
- Own and manage client relationships, operating as a true partner rather than a supplier
- Stay ahead of the latest industry trends, developments and innovations in the web analytics and data space
- Take on line management responsibilities, leading and supporting a small delivery team
- A minimum of 3 years' hands-on experience with Google Analytics 4, operating at expert level — this is essential
- Strong working knowledge of Google Tag Manager — also essential
- Broader experience across the Google Marketing Platform, including tools such as BigQuery, Looker Studio, DV360 and SA360
- Proven track record delivering technically complex analytics projects across a range of industries
- Comfortable working with relevant coding languages including JavaScript, jQuery, CSS, Python or HTML
- Experience managing or mentoring a team
- A self-starter mindset — passionate, curious and driven to deliver excellence for clients
- Strong client relationship and communication skills
This is a team that puts clients first and moves fast. They're passionate, transparent and genuinely hungry to drive performance. As an early hire in a scale-up environment, your voice will be heard and your ideas embraced — this is a business that listens to its people and evolves quickly.
PACKAGE & BENEFITS- Up to £70,000 basic salary depending on experience
- Hybrid working — 3 days in the Manchester office, 2 days from home
- A close-knit, family-feel team culture
- The chance to work with and learn from two of the UK's leading Google Marketing Platform experts
- Real influence over the agency's direction and growth
If you're a technically strong analytics professional with expert-level GA4 and Google Tag Manager experience and you're ready for a senior role with real impact, we'd love to hear from you. Please apply with your CV and we'll be in touch.
Analytics Manager in Manchester employer: Vermillion Analytics
Join a fast-growing analytics agency in Manchester that prioritises client success and fosters a collaborative, family-like culture. With a hybrid working model and the opportunity to learn from industry leaders, you'll have a genuine influence on the agency's direction while enjoying a supportive environment that values your ideas and professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Manager in Manchester
✨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 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 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 Analytics Manager in Manchester
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.
