GA4 & GTM Tracking Specialist β€” Hybrid in Liverpool

GA4 & GTM Tracking Specialist β€” Hybrid in Liverpool

Liverpool Full-Time 33075 - 40425 Β£ / year (est.) Home office (partial)
Velstar

At a Glance

  • Tasks: Own GA4/GTM setups and create live dashboards for clients.
  • Company: Join Velstar, a dynamic eCommerce agency with a focus on innovation.
  • Benefits: Enjoy hybrid work, competitive pay, and opportunities for growth.
  • Other info: Fast-paced environment with live projects and real client interactions.
  • Why this job: Make a real impact by helping clients optimise their data strategies.
  • Qualifications: Experience with GA4, GTM, and data analytics is essential.

The predicted salary is between 33075 - 40425 Β£ per year.

Velstar is a full-service e Commerce agency working across DTC and B2B.

Our Data & Analytics team is growing, and we're hiring a Tracking & Reporting Analyst to build out the tracking, reporting and data work our clients rely on to trade properly.

Live client accounts, live budgets, live deadlines, not a training sandbox.

You'll own GA4/GTM setups, cross-channel attribution, server-side tracking with Stape, live dashboards in Looker Studio, and client-facing reports.

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GA4 & GTM Tracking Specialist β€” Hybrid in Liverpool employer: Velstar

At Velstar, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to excel. As a PPC Lead, you will enjoy the benefits of hybrid working, a senior leadership role with significant influence, and ample opportunities for professional growth while working with ambitious eCommerce brands. Our commitment to delivery excellence and commercial clarity ensures that you can make a meaningful impact in your role, all within a supportive environment located in vibrant cities like Liverpool and Leeds.

Velstar

Contact Details:

Velstar Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land GA4 & GTM Tracking Specialist β€” Hybrid in Liverpool

✨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 Velstar!

✨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 & GTM Tracking Specialist β€” Hybrid at Velstar.

✨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 Velstar.

✨Apply Directly through Our Website

When you find a suitable opening like GA4 & GTM Tracking Specialist β€” Hybrid at Velstar, 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 & GTM Tracking Specialist β€” Hybrid in Liverpool

GA4
Google Tag Manager (GTM)
Cross-Channel Attribution
Server-Side Tracking
Stape
Looker Studio
Data Reporting

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 Velstar, 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 Velstar. 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 Velstar

✨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 Velstar!

✨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.