Global GTM & Analytics Lead for Digital Tracking in London

Global GTM & Analytics Lead for Digital Tracking in London

London Full-Time 50000 - 55000 £ / year (est.) Home office (partial)
Michael Page

At a Glance

  • Tasks: Implement digital marketing tracking and manage Google Tag Manager for online operations.
  • Company: Michael Page, a leading recruitment agency with a focus on innovation.
  • Benefits: Competitive salary, bonuses, private healthcare, and pension scheme.
  • Other info: Enjoy a hybrid work model and opportunities for professional growth.
  • Why this job: Join a dynamic team and ensure compliance while enhancing digital marketing strategies.
  • Qualifications: Experience with Google Tag Manager and knowledge of privacy standards.

The predicted salary is between 50000 - 55000 £ per year.

Michael Page is seeking a Website Tracking Manager to implement digital marketing tracking across their online operations in the UK. The role focuses on managing Google Tag Manager, ensuring tracking compliance with privacy standards, and debugging issues.

This position offers a hybrid work model, a competitive salary between £50,000 to £55,000 plus bonuses, and additional benefits such as private healthcare and a pension scheme.

Global GTM & Analytics Lead for Digital Tracking in London employer: Michael Page

Michael Page is an excellent employer, offering a dynamic work environment that fosters innovation and collaboration. With a hybrid work model, competitive salary, and comprehensive benefits including private healthcare and a pension scheme, employees are supported in both their professional and personal lives. The company prioritises employee growth through continuous learning opportunities, making it an ideal place for those seeking meaningful and rewarding careers in digital marketing.

Michael Page

Contact Details:

Michael Page Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Global GTM & Analytics Lead for Digital Tracking in London

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 Michael Page!

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 Global GTM & Analytics Lead for Digital Tracking at Michael Page.

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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 Michael Page.

Apply Directly through Our Website

When you find a suitable opening like Global GTM & Analytics Lead for Digital Tracking at Michael Page, 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 Global GTM & Analytics Lead for Digital Tracking in London

Google Tag Manager
Digital Marketing Tracking
Privacy Compliance
Debugging Skills
Analytical Skills
Attention to Detail
Project Management

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 Michael Page, 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 Michael Page. 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 Michael Page

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 Michael Page!

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.