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For Companies At a Glance
- Tasks: Design data flow architecture and manage analytics platforms for impactful projects.
- Company: Dynamic digital agency in Manchester with a collaborative culture.
- Benefits: 28 days annual leave, hybrid work, and a supportive environment.
- Why this job: Join a team where your skills in data can shine and make a difference.
- Qualifications: Expertise in Google Tag Manager, Google Analytics 4, and strong SQL skills.
- Other info: Great opportunity for growth in a fast-paced digital landscape.
The predicted salary is between 36000 - 60000 £ per year.
A dynamic digital agency in Manchester is looking for an Analytics Engineer to focus on data flow architecture and manage analytics platforms. Candidates should have expertise in Google Tag Manager and Google Analytics 4, along with strong SQL skills.
The role includes:
- Implementing data setups
- Building ETL pipelines
- Ensuring compliance with data privacy regulations
This position offers 28 days of annual leave and allows for hybrid work, fostering a supportive and collaborative work environment.
Analytics Engineer: GA4, Data Pipelines & Hybrid Work in Manchester employer: Cobre del Mayo SA de CV
Contact Detail:
Cobre del Mayo SA de CV Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer: GA4, Data Pipelines & Hybrid Work in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Google Tag Manager, Google Analytics 4, and any SQL projects. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics scenarios and data privacy regulations. We recommend practising your responses to technical questions and having examples ready that demonstrate your experience with data flow architecture and ETL pipelines.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Analytics Engineer: GA4, Data Pipelines & Hybrid Work in Manchester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Google Tag Manager, Google Analytics 4, and SQL. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Analytics Engineer position. Mention your experience with data flow architecture and ETL pipelines to catch our eye.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and experiences shine through without unnecessary fluff.
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’re considered for this exciting opportunity!
How to prepare for a job interview at Cobre del Mayo SA de CV
✨Know Your Tools Inside Out
Make sure you’re well-versed in Google Tag Manager and Google Analytics 4. Brush up on the latest features and best practices, as you might be asked to demonstrate your knowledge or provide examples of how you've used these tools in past projects.
✨Showcase Your SQL Skills
Prepare to discuss your SQL experience in detail. Think of specific instances where you’ve built queries or managed data flow. Being able to explain your thought process and the impact of your work will impress the interviewers.
✨Understand Data Privacy Regulations
Familiarise yourself with data privacy laws relevant to analytics, such as GDPR. Be ready to discuss how you ensure compliance in your data setups, as this is crucial for the role and shows that you take data ethics seriously.
✨Emphasise Collaboration and Adaptability
Since the role involves hybrid work, highlight your experience working in collaborative environments. Share examples of how you’ve adapted to different work settings and maintained effective communication with team members, whether in-person or remote.
