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- Tasks: Architect tracking strategies and analyse web data for enhanced user experiences.
- Company: Leading ticketing solutions provider in London with a focus on innovation.
- Benefits: Dynamic work environment, competitive salary, and opportunities for collaboration.
- Why this job: Drive data-informed decisions and improve user experiences in a fast-paced setting.
- Qualifications: Extensive experience with Adobe Analytics and strong understanding of e-commerce KPIs.
- Other info: Join a team that values innovation and offers excellent career growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading ticketing solutions provider in London is seeking a Senior Web Analytics Developer responsible for web data collection, ensuring data quality, and driving data-informed decisions. The role involves architecting tracking strategies and analyzing analytics for better user experiences.
Ideal candidates will have extensive experience with Adobe Analytics and a strong understanding of e-commerce KPIs. This position offers a dynamic work environment with a focus on innovation and collaboration.
Senior Web Analytics & Tagging Architect in London employer: AXS
Contact Detail:
AXS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Web Analytics & Tagging Architect in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your web analytics projects, especially those involving Adobe Analytics. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on e-commerce KPIs and data quality strategies. We want you to be ready to discuss how you can drive data-informed decisions in their dynamic environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Web Analytics & Tagging Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Adobe Analytics and e-commerce KPIs. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about web analytics and how you can contribute to our innovative team. Keep it engaging and personal – we love a good story!
Showcase Your Analytical Skills: In your application, include examples of how you've driven data-informed decisions in previous roles. We’re looking for candidates who can architect tracking strategies and improve user experiences, so let us know how you’ve done this before!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at AXS
✨Know Your Analytics Inside Out
Make sure you brush up on your knowledge of Adobe Analytics and e-commerce KPIs. Be ready to discuss how you've used these tools in past projects, and think of specific examples where your insights led to improved user experiences.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in web data collection and how you overcame them. Companies love candidates who can demonstrate their ability to drive data-informed decisions, so have a few success stories up your sleeve.
✨Understand Their Business
Research the ticketing solutions provider and understand their market position. Familiarise yourself with their products and services, and think about how your skills can help them innovate and improve their analytics strategies.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Ask about their current analytics challenges or how they envision the future of data-driven decision-making within their team. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
