At a Glance
- Tasks: Develop and maintain dbt models while optimising data performance.
- Company: Join Currys Ltd, a leader in tech innovation and collaboration.
- Benefits: Enjoy a permanent role with competitive salary and growth opportunities.
- Other info: Work in a vibrant London campus with a supportive culture.
- Why this job: Make a real impact in a dynamic team focused on high-quality data solutions.
- 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 employer: Currys Ltd
Currys Ltd is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. Employees benefit from continuous growth opportunities, competitive remuneration, and the chance to work with cutting-edge analytics tools, making it a rewarding environment for those passionate about data-driven solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer: Build Trusted Data & BI
✨Tip Number 1
Network like a pro! Reach out to current employees at Currys Ltd on LinkedIn or attend industry meetups. A friendly chat can give us insights into the company culture and might just land us a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best dbt models, SQL queries, and any analytics projects you've worked on. This will help us stand out during interviews and demonstrate our expertise.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data performance optimisation and collaboration. 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 our experience aligns with the role at Currys Ltd.
We think you need these skills to ace Senior Analytics Engineer: Build Trusted Data & BI
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 you’re writing your application, connect your experience directly to the role. Mention any work with dbt, Snowflake, or Looker, and how it relates to what we do at Currys Ltd.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant to the role. Let us see your thought process!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get the ball rolling on your journey with us.
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, take some time to review your knowledge of these tools. Be ready to share specific examples of how you've used them to optimise data performance or solve analytics challenges.
✨Showcase Your Analytical Mindset
Prepare to discuss your approach to conducting analysis. Think of a few scenarios where you turned data into actionable insights. This will demonstrate your ability to deliver high-quality data solutions, which is key for this role.
✨Emphasise Collaboration Skills
As this position requires working closely with teams, be ready to talk about your experience collaborating with others. Share examples of how you’ve worked in a team to achieve a common goal, especially in a data-driven environment.
