At a Glance
- Tasks: Bridge engineering and business data solutions while managing data models and pipelines.
- Company: Join RedCat Digital, a high-impact data team in London.
- Benefits: Enjoy competitive compensation, hybrid work model, and great benefits.
- Other info: Autonomous role with opportunities to optimise systems and support stakeholders.
- Why this job: Make a real impact with your analytics skills in a dynamic environment.
- Qualifications: Strong SQL and dbt experience; retail or e-commerce background preferred.
The predicted salary is between 50000 - 65000 € per year.
RedCat Digital is seeking an Analytics Engineer to join a high-impact data team in London. The role involves bridging engineering rigor with business-focused data solutions while managing data models and pipelines. You'll work autonomously, optimizing systems and supporting stakeholders through insightful dashboards.
We're looking for someone with strong SQL and dbt experience, and a background in retail or e-commerce is preferred. This position offers a hybrid work model with competitive compensation and benefits.
Analytics Engineer — Hybrid London, BigQuery & Data Products employer: RedCat Digital
RedCat Digital is an excellent employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. With a strong focus on employee growth, we provide opportunities for professional development and a hybrid work model that promotes work-life balance. Our culture encourages autonomy and creativity, making it a rewarding place for those passionate about data and its impact on retail and e-commerce.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer — Hybrid London, BigQuery & Data Products
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at RedCat Digital. A friendly chat can sometimes lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and dbt projects. This will give you an edge and demonstrate your ability to deliver business-focused data solutions.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of data models and pipelines. Be ready to discuss how you've optimised systems in the past and how you can support stakeholders with insightful dashboards.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Analytics Engineer — Hybrid London, BigQuery & Data Products
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your SQL and dbt experience, as well as any relevant retail or e-commerce background. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Analytics Engineer position and how you can contribute to our high-impact data team. Keep it engaging and personal – we love a bit of personality!
Showcase Your Projects:If you've worked on any cool data projects, make sure to mention them in your application. We’re keen to see how you’ve bridged engineering with business-focused solutions, so share those insights and dashboards you’ve created!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to join our awesome team at StudySmarter!
How to prepare for a job interview at RedCat Digital
✨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 with real-world scenarios can help you articulate your experience effectively.
✨Showcase Your Data Modelling Skills
Since the role involves managing data models, be ready to explain your approach to data modelling. Bring examples of previous work where you've optimised data pipelines or created insightful dashboards that supported business decisions.
✨Understand the Business Context
Familiarise yourself with the retail or e-commerce sector if you haven't already. Understanding the specific challenges and opportunities in these industries will allow you to tailor your answers and demonstrate how your skills can add value.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about their data team, the tools they use, and how they measure success. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
