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- Tasks: Design and optimise data models, code in SQL and Python, support analytics across teams.
- Company: Global insurance provider based in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team to enhance decision-making through robust data solutions.
- Qualifications: Experience in financial services, strong data modelling skills, and cloud environment expertise.
- Other info: Collaborative environment with a focus on impactful analytics.
The predicted salary is between 36000 - 60000 £ per year.
A global insurance provider in Greater London seeks an Analytics Engineer to design and optimize data models, code in SQL and Python, and support analytics across teams. The ideal candidate will have extensive experience in financial services, strong data modeling skills, and a proven track record in cloud environments. This role emphasizes collaboration with various stakeholders to enhance decision-making through robust data solutions.
Analytics Engineer: Cloud Data Models & Pipelines employer: Liberty Specialty Markets
Contact Detail:
Liberty Specialty Markets Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer: Cloud Data Models & Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in analytics or financial services. A friendly chat can open doors and give you insights that might just land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and pipelines. Use real-world examples, especially if you've worked with cloud environments. This will help us see your expertise in action!
✨Tip Number 3
Prepare for interviews by brushing up on SQL and Python. We want to see how you think through problems, so practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Analytics Engineer: Cloud Data Models & Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in financial services and your skills in SQL and Python. We want to see how your background aligns with the role of an Analytics Engineer, so don’t hold back on showcasing relevant projects!
Showcase Your Data Modelling Skills: Since this role focuses on designing and optimising data models, include specific examples of your work in this area. We love seeing how you've tackled challenges and improved data solutions in previous roles.
Highlight Collaboration Experience: This position involves working with various stakeholders, so be sure to mention any collaborative projects you've been part of. We appreciate candidates who can demonstrate their ability to enhance decision-making through teamwork.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Liberty Specialty Markets
✨Know Your Data Models
Make sure you brush up on your data modelling skills before the interview. Be ready to discuss your experience with designing and optimising data models, especially in cloud environments. Prepare examples of how you've tackled challenges in previous roles.
✨Show Off Your Coding Skills
Since coding in SQL and Python is a big part of this role, practice some common coding problems beforehand. You might be asked to solve a problem on the spot, so being comfortable with these languages will help you shine.
✨Collaboration is Key
This role involves working with various stakeholders, so be prepared to talk about your experience collaborating with different teams. Think of specific examples where your contributions led to better decision-making or improved data solutions.
✨Understand the Financial Services Landscape
Having extensive experience in financial services is crucial for this position. Familiarise yourself with current trends and challenges in the industry, and be ready to discuss how your background can bring value to the company.
