Analytics Engineer: Data Modeling & Insights (London Hybrid)
Analytics Engineer: Data Modeling & Insights (London Hybrid)

Analytics Engineer: Data Modeling & Insights (London Hybrid)

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Build impactful data models and solve technical challenges in a hybrid role.
  • Company: Leading fintech company in London with a focus on innovation.
  • Benefits: Competitive salary, flexible work, health perks, and personal development opportunities.
  • Why this job: Join a dynamic team and make a real difference in the fintech space.
  • Qualifications: Strong SQL skills and experience with DBT, AWS, and data warehouses.
  • Other info: Collaborative environment with great potential for career growth.

The predicted salary is between 36000 - 60000 £ per year.

A leading fintech company in London seeks a candidate for a hybrid Analytics Engineering role. You will build high-impact data models, tackle technical challenges, and collaborate with stakeholders.

Strong SQL skills and experience with DBT, AWS services, and data warehouses are essential.

The role offers competitive salary and a variety of benefits emphasizing flexibility, health, wealth, and personal development.

Analytics Engineer: Data Modeling & Insights (London Hybrid) employer: Funding Circle

Join a leading fintech company in London that prioritises employee well-being and professional growth. With a strong emphasis on flexibility, health, and personal development, you will thrive in a collaborative work culture that encourages innovation and technical excellence. This hybrid role not only offers competitive salaries but also a range of benefits designed to support your career journey and work-life balance.
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Contact Detail:

Funding Circle Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Analytics Engineer: Data Modeling & Insights (London Hybrid)

✨Tip Number 1

Network like a pro! Reach out to folks in the fintech space, especially those who work 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 data models and insights. Use real-world examples to demonstrate your SQL prowess and experience with DBT and AWS services.

✨Tip Number 3

Prepare for the interview by brushing up on common technical questions related to data engineering. We recommend practising SQL queries and discussing your approach to tackling data challenges.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Analytics Engineer: Data Modeling & Insights (London Hybrid)

SQL
DBT
AWS Services
Data Warehousing
Data Modelling
Technical Problem-Solving
Stakeholder Collaboration
Analytical Skills

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 it to solve real-world problems, so share specific examples that showcase your skills.

Talk About Your Experience with DBT and AWS: If you've worked with DBT or AWS services, let us know! We’re keen to hear about your hands-on experience and how you’ve leveraged these tools to build data models or tackle challenges.

Collaborate Like a Pro: This role involves working closely with stakeholders, so don’t forget to mention any collaborative projects you've been part of. We love seeing how you communicate and work with others to achieve common goals.

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 don’t miss out on any important updates from us!

How to prepare for a job interview at Funding Circle

✨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 AWS

Since experience with DBT and AWS services is essential, take some time to review your knowledge of these tools. Be ready to share specific examples of how you've used them in data modelling or analytics projects.

✨Showcase Your Problem-Solving Skills

Prepare to tackle technical challenges during the interview. Think of a few examples where you've solved complex data issues and be ready to explain your thought process. This will demonstrate your analytical mindset and ability to handle real-world problems.

✨Engage with Stakeholders

Collaboration is key in this role, so think about how you've worked with different stakeholders in the past. Be ready to discuss how you communicate technical concepts to non-technical team members and how you ensure everyone is on the same page.

Analytics Engineer: Data Modeling & Insights (London Hybrid)
Funding Circle

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