At a Glance
- Tasks: Implement and maintain digital tracking using Google Tag Manager for web and app.
- Company: Join a forward-thinking company in Bristol with a hybrid work model.
- Benefits: Competitive salary, up to 15% bonus, and comprehensive benefits package.
- Other info: Collaborative environment with opportunities for growth and improvement.
- Why this job: Be at the forefront of data accuracy and make a real impact on digital analytics.
- Qualifications: Experience with Google Tag Manager and a keen eye for detail.
Location: Bristol (Hybrid)
Salary: £85,000–£95,000 + benefits + up to 15% bonus
About the role
We're looking for a Digital Analytics Tagging Manager to make sure the data we collect from our website and app is accurate, complete and trustworthy from the moment it's captured. You'll specify, build, test and maintain tracking using Google Tag Manager, working closely with analytics, data activation and engineering teams to turn tracking requirements into robust, reliable implementations. This is a hands-on, detail-driven role for someone who's genuinely curious about how digital tracking works under the hood, and who takes pride in getting the data right.
What you'll be doing
- Implementing and maintaining tracking across web and app using Google Tag Manager
- Translating tracking requirements into tags, triggers and variables aligned to agreed data layer standards
- Validating data collection through rigorous testing, debugging and QA
- Supporting the flow of tracking data to downstream analytics, activation and media platforms
- Working closely with the wider analytics and data activation teams to improve tracking coverage and consistency
- Collaborating with engineering and product teams to embed tagging into everyday delivery
- Spotting and escalating tracking gaps, issues or risks, with clear evidence
- Following data privacy, consent and regulatory best practice in everything you implement
What we're looking for
- Hands-on experience implementing digital tracking with Google Tag Manager
- Solid understanding of event-based data collection for analytics and/or advertising
- Experience with an enterprise digital analytics platform, ideally Amplitude
- Comfortable working with data layers, events and front-end implementations
- Working knowledge of JavaScript to collect and manipulate front-end data
- A meticulous, QA-minded approach and real attention to detail
- Awareness of privacy, consent and regulatory considerations in data collection
- A curious, proactive mindset – always looking for ways to improve tracking and data quality
- Experience in financial services or another regulated industry is a plus, but not essential
What's on offer
- £85,000–£95,000 base salary
- Up to 15% annual bonus
- Comprehensive benefits package
- Hybrid working from our Bristol office
Key skills: Google Tag Manager (GTM), JavaScript, Event-based Tracking, Data Layer Implementation, QA & Validation, Amplitude, Web & App Analytics, Privacy & Consent, Debugging
Data Activation Lead in Bristol employer: SJIT
Join a forward-thinking company in Bristol as a Data Activation Lead, where you will thrive in a collaborative and innovative work culture. With a competitive salary, up to 15% bonus, and a comprehensive benefits package, we prioritise employee growth and development while embracing hybrid working arrangements. Our commitment to data accuracy and quality ensures that you will play a vital role in shaping our digital analytics landscape, making this an exciting opportunity for those passionate about data-driven insights.
StudySmarter Expert Advice🤫
We think this is how you could land Data Activation Lead in Bristol
✨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 SJIT.
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We think you need these skills to ace Data Activation Lead in Bristol
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 SJIT, 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 SJIT. 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 SJIT
✨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 SJIT!
✨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.
