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- Tasks: Design and maintain data transformations while collaborating with analysts.
- Company: Leading financial technology company with a collaborative work culture.
- Benefits: Hybrid working model, competitive benefits, and professional growth opportunities.
- Why this job: Join a dynamic team and make an impact in the fintech industry.
- Qualifications: 2-3 years of experience in analytics engineering, SQL, and data automation.
The predicted salary is between 28800 - 43200 £ per year.
A leading financial technology company is seeking an experienced analytics engineer to join its Data and Insights team in London. The ideal candidate will have 2-3 years of experience in analytics engineering, particularly with SQL and automation of data processes. You will be responsible for designing and maintaining data transformations while collaborating with analysts. The company offers a hybrid working model, competitive benefits, and a collaborative work environment.
Analytics Engineer: Build Scalable Data & Insights in City of London employer: Moneybox
Contact Detail:
Moneybox Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer: Build Scalable Data & Insights in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL projects or any automation processes you've worked on. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on common analytics engineering questions. Think about how you can discuss your experience with data transformations and collaboration with analysts in a way that highlights your strengths.
✨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: Build Scalable Data & Insights in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in analytics engineering, especially with SQL and data automation. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a perfect fit for our Data and Insights team. Keep it engaging and personal!
Showcase Your Collaboration Skills: Since this role involves working closely with analysts, make sure to mention any past experiences where you’ve successfully collaborated on projects. We love teamwork, so let us know how you contribute to a collaborative environment!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Moneybox
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with data transformations and maybe even solve a few SQL problems on the spot. Practising common queries and understanding how to optimise them will definitely give you an edge.
✨Showcase Your Automation Skills
Since automation of data processes is key for this role, come ready to talk about any projects where you've implemented automation. Share specific examples of tools or frameworks you've used, and be prepared to explain the impact your work had on efficiency and accuracy.
✨Collaborate Like a Pro
This role involves working closely with analysts, so highlight your teamwork skills. Think of examples where you've successfully collaborated on projects, and be ready to discuss how you handle feedback and differing opinions in a team setting.
✨Understand the Company Culture
Research the company’s values and work environment. Since they offer a hybrid model, be prepared to discuss how you manage your time and productivity in both remote and in-office settings. Showing that you align with their culture can really set you apart.
