Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data architecture strategies and implement analytical solutions for a leading retail company.
- Company: Join a top retail company in Manchester with a focus on innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and various perks.
- Why this job: Promote a data-driven culture and make a real impact on data teams.
- Qualifications: Extensive experience in analytics, SQL, Python, and stakeholder management.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading retail company in Manchester is seeking an Analytics Engineer to lead data architecture strategies and implement analytical solutions. The role requires extensive experience in analytics and data engineering, with strong proficiency in SQL and Python, and the ability to manage stakeholders effectively.
This position offers a collaborative environment where you will promote a data-driven culture and enhance the effectiveness of the data teams. A hybrid work model and various benefits are included.
Analytics Engineer & Data Architect — Drive Data Strategy in Manchester employer: N Brown
Contact Detail:
N Brown Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer & Data Architect — Drive Data Strategy in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your SQL and Python projects. This will help you stand out and demonstrate your expertise in analytics.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions related to data architecture and stakeholder management. We can help you with mock interviews if you need it!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive roles listed that you won’t find anywhere else.
We think you need these skills to ace Analytics Engineer & Data Architect — Drive Data Strategy in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in analytics and data engineering. We want to see your SQL and Python skills shine, so don’t hold back on showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for data strategy and how you’ve successfully managed stakeholders in the past. Let your personality come through!
Showcase Your Collaborative Spirit: Since we value a collaborative environment, mention any experiences where you’ve worked with teams to promote a data-driven culture. We love seeing how you can enhance team effectiveness!
Apply Through Our Website: To make sure your application gets to us smoothly, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at N Brown
✨Know Your SQL and Python Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be prepared to discuss specific projects where you've used these languages, and think about how you can demonstrate your problem-solving abilities with real-world examples.
✨Understand Data Architecture Fundamentals
Familiarise yourself with data architecture concepts relevant to the retail industry. Be ready to talk about how you would approach designing a data strategy for a retail company, and consider any challenges you might face in this context.
✨Stakeholder Management is Key
Since the role involves managing stakeholders, think about your past experiences in this area. Prepare examples of how you've successfully communicated complex data insights to non-technical stakeholders, and be ready to discuss your approach to building relationships.
✨Embrace the Collaborative Environment
This position offers a collaborative atmosphere, so show your enthusiasm for teamwork. Think of examples where you've worked effectively in a team setting, and be prepared to discuss how you can contribute to promoting a data-driven culture within the organisation.
