At a Glance
- Tasks: Develop and maintain dbt models while optimising data processes.
- Company: Join Currys Ltd, a leader in technology retail with a diverse team.
- Benefits: Hybrid work model, competitive salary, and support for all candidates.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Shape the future of tech retail with your data expertise.
- Qualifications: Strong SQL skills and experience with BI tools like Looker or Power BI.
The predicted salary is between 45000 - 55000 £ per year.
Currys Ltd is seeking an Analytics Engineer for a hybrid role in Waterloo. You will develop and maintain dbt models, optimize data processes, and collaborate with cross-functional teams to enhance data analytics capabilities.
The ideal candidate has strong SQL skills, experience in data warehousing, and proficiency in BI tools like Looker or Power BI.
Join a committed team at Currys, where your expertise will contribute to shaping the future of technology retail in the UK. We value diversity and inclusion, offering support for all candidates during the application process.
Analytics Engineer: Data & BI Architect employer: Currys Ltd
At Currys Ltd, we pride ourselves on being an excellent employer by fostering a collaborative and inclusive work culture that values diversity. As an Analytics Engineer in our hybrid role based in Waterloo, you will have the opportunity to grow your skills in a dynamic environment while contributing to innovative data solutions that shape the future of technology retail in the UK. We offer competitive benefits and support for professional development, ensuring that every team member can thrive and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer: Data & BI Architect
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Currys on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a mini portfolio showcasing your dbt models, SQL queries, or any BI dashboards you've created. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for analytics roles. We can even do mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CVs and cover letters to match what Currys is looking for.
We think you need these skills to ace Analytics Engineer: Data & BI Architect
Some tips for your application 🫡
Show Off Your SQL Skills:Make sure to highlight your SQL expertise in your application. We want to see how you've used SQL in past projects, so don’t hold back on the details!
Talk About Your Data Warehousing Experience:If you've got experience in data warehousing, let us know! Share specific examples of how you've optimised data processes and what tools you’ve used.
BI Tools Are Key:Mention any experience you have with BI tools like Looker or Power BI. We’re keen to see how you’ve leveraged these tools to enhance data analytics capabilities.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Currys Ltd
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with complex queries and data manipulation, as this will likely come up. Practising some common SQL problems can really help you feel more confident.
✨Familiarise Yourself with dbt and BI Tools
Since the role involves developing dbt models and using BI tools like Looker or Power BI, it’s crucial to have a solid understanding of these technologies. Try to showcase any relevant projects you've worked on that involved these tools during the interview.
✨Understand Data Warehousing Concepts
Get a good grasp of data warehousing principles, as this is key for the position. Be ready to explain how you’ve optimised data processes in the past and how you approach data architecture. This will demonstrate your expertise and problem-solving skills.
✨Show Your Collaborative Spirit
Collaboration is essential in this role, so be prepared to discuss how you’ve worked with cross-functional teams in the past. Share examples of how you’ve communicated complex data insights to non-technical stakeholders, as this will highlight your ability to bridge the gap between tech and business.
