At a Glance
- Tasks: Develop and maintain dbt models while optimising data performance.
- Company: Join Currys Ltd, a leader in tech retail with a collaborative culture.
- Benefits: Enjoy a permanent role with competitive salary and career growth opportunities.
- Other info: Work in a dynamic environment with a focus on teamwork and innovation.
- Why this job: Make a real impact in analytics and work with cutting-edge tools.
- Qualifications: Degree in a relevant field and 4+ years of analytics experience required.
The predicted salary is between 55000 - 65000 € per year.
Currys Ltd is seeking a Senior Analytics Engineer to develop and maintain dbt models in their London Campus. The ideal candidate will have strong SQL skills and expertise in analytics tools like dbt, Snowflake, and Looker.
Responsibilities include:
- Optimizing data performance
- Conducting analysis
- Collaborating with teams to deliver high-quality data solutions
Applicants should have a degree in a relevant field and 4+ years of experience in analytics or data analysis. This permanent, full-time role offers a chance to make significant impacts in a collaborative environment.
Senior Analytics Engineer: Build Trusted Data & BI in London employer: Currys Ltd
At Currys Ltd, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation. Our London Campus provides a vibrant environment where employees can thrive, with ample opportunities for professional growth and development in the field of analytics. Join us to be part of a team that values your contributions and empowers you to make a meaningful impact in the world of data.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer: Build Trusted Data & BI in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Currys Ltd on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best dbt models or analytics projects. This will help us demonstrate our expertise and 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 our application gets noticed. Plus, we can tailor our application to highlight how we fit the Senior Analytics Engineer role perfectly.
We think you need these skills to ace Senior Analytics Engineer: Build Trusted Data & BI in London
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!
Tailor Your Experience:When writing your application, connect your experience with the tools we use, like dbt, Snowflake, and Looker. We love seeing how your background aligns with our needs!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your skills and experiences shine without unnecessary fluff.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your info and get you into our system quickly.
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 complex queries and how you've used SQL in past projects. Practising common SQL problems can really help you stand out.
✨Familiarise Yourself with dbt and Snowflake
Since the role involves dbt models and Snowflake, it’s crucial to understand these tools thoroughly. We recommend going through some tutorials or documentation to refresh your knowledge and be ready to discuss your experience with them.
✨Showcase Your Analytical Mindset
Prepare examples of how you've optimised data performance or conducted impactful analyses in previous roles. Being able to articulate your thought process and the results of your work will demonstrate your analytical capabilities.
✨Collaboration is Key
This role requires working closely with teams, so be ready to talk about your experience in collaborative environments. Share specific instances where teamwork led to successful data solutions, highlighting your communication skills.
