At a Glance
- Tasks: Develop and maintain dbt models while optimising performance for trusted analytics.
- Company: Join Currys, a leading tech retailer with a hybrid working culture.
- Benefits: Enjoy flexible working, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team in a fast-paced environment.
- Why this job: Make an impact by enabling self-service analytics and collaborating with diverse teams.
- Qualifications: Experience in analytics engineering and a passion for data-driven solutions.
The predicted salary is between 63000 - 77000 £ per year.
Currys is seeking an Analytics Engineer to join our Waterloo-based team with hybrid working.
You will develop and maintain dbt models, ensure data quality, and optimise performance to deliver trusted datasets for analytics and BI.
You will collaborate with data engineers and business teams to translate requirements into scalable solutions, build dashboards, and enable self-service analytics across the organisation.
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Analytics Engineer | Hybrid, dbt + BI Dashboards in London employer: Dixons Carphone
At Currys, we pride ourselves on being an excellent employer, offering a vibrant work culture at our London Campus in Waterloo that fosters collaboration and innovation. Our commitment to employee growth is evident through ongoing training and skills development opportunities, ensuring you can thrive in your role as a UX Analyst while contributing to meaningful improvements in our digital experiences. Join us to be part of a diverse team where every voice matters, and enjoy the unique advantage of working in a dynamic eCommerce environment that values insight-driven decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer | Hybrid, dbt + BI Dashboards in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Analytics Engineer | Hybrid, dbt + BI Dashboards in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Dixons Carphone, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Dixons Carphone. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Dixons Carphone
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Dixons Carphone!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
