At a Glance
- Tasks: Lead client measurement strategies and deliver GA4 implementations with hands-on work.
- Company: Xcede, a dynamic analytics and CRO agency based in the UK.
- Benefits: Competitive salary and the chance to work on exciting projects.
- Other info: Work three days a week on client sites in London.
- Why this job: Make a real impact by delivering high-quality analytics solutions for clients.
- Qualifications: Experience with GA4, GTM, BigQuery, and strong analytical skills.
The predicted salary is between 63000 - 77000 £ per year.
Xcede, a growing analytics and CRO agency, is seeking a Senior Analyst to join their team.
Based in the UK, you will lead client measurement strategies, deliver GA4 implementations, and apply hands-on work across GTM, Big Query and Looker Studio.
Three days a week on client sites in London, with sponsorship not available.
You will partner closely with clients, owning projects end to end and delivering high-quality analytics solutions.
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Senior Analytics Lead — GA4, GTM & Looker Studio employer: Xcede
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StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Lead — GA4, GTM & Looker Studio
✨Get Involved in Data Science Meetups
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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 Xcede.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Analytics Lead — GA4, GTM & Looker Studio at Xcede, 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 Senior Analytics Lead — GA4, GTM & Looker Studio
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 Xcede, 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 Xcede. 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 Xcede
✨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 Xcede!
✨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.
