Analytics Engineer — Remote, Equity & Growth in Fintech
Analytics Engineer — Remote, Equity & Growth in Fintech

Analytics Engineer — Remote, Equity & Growth in Fintech

Full-Time 36000 - 60000 £ / year (est.) Home office possible
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At a Glance

  • Tasks: Enhance data foundations and build DBT models for user acquisition.
  • Company: Leading fintech company in Greater London with a focus on innovation.
  • Benefits: Remote work, competitive salary, and opportunities for professional growth.
  • Why this job: Join a fast-paced environment and make an impact with data-driven decisions.
  • Qualifications: Strong SQL skills and a problem-solving mindset are essential.
  • Other info: Collaborative atmosphere with hands-on experience using top data tools.

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

A leading fintech company in Greater London is seeking an Analytics Engineer to enhance data foundations for user acquisition and partnerships. The role involves building DBT models, collaborating with cross-functional teams, and owning reports for external partners.

Ideal candidates should have strong SQL skills, a problem-solving mindset, and a desire to grow in a fast-paced environment. This position offers hands-on experience with best-in-class data tools and a collaborative work atmosphere.

Analytics Engineer — Remote, Equity & Growth in Fintech employer: Lendable

Join a leading fintech company in Greater London, where innovation meets collaboration. As an Analytics Engineer, you'll thrive in a dynamic work culture that prioritises employee growth and offers hands-on experience with cutting-edge data tools. With a focus on user acquisition and partnerships, this role not only provides meaningful challenges but also the opportunity to make a significant impact in a fast-paced environment.
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Contact Detail:

Lendable Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Analytics Engineer — Remote, Equity & Growth in Fintech

Tip Number 1

Network like a pro! Reach out to people in the fintech space, especially those working at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.

Tip Number 2

Show off your skills! Create a portfolio showcasing your DBT models and SQL projects. This not only demonstrates your technical abilities but also your problem-solving mindset, which is key for an Analytics Engineer.

Tip Number 3

Prepare for the interview by brushing up on common analytics scenarios. Think about how you would approach user acquisition challenges or partnerships. We want to see your thought process and how you tackle real-world problems!

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 and eager to join our collaborative work atmosphere.

We think you need these skills to ace Analytics Engineer — Remote, Equity & Growth in Fintech

SQL
DBT Models
Data Analysis
Problem-Solving Skills
Collaboration
User Acquisition Strategies
Partnership Management
Adaptability
Experience with Data Tools

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 SQL to solve problems or improve processes in your previous roles. Don't just list your skills; give us examples!

Tailor Your Application: Take a moment to customise your application for this role. Mention how your experience aligns with building DBT models and collaborating with cross-functional teams. We love seeing candidates who take the time to connect their background to what we do!

Problem-Solving Mindset: We’re on the lookout for candidates who can think critically and tackle challenges head-on. In your application, share a specific example of a problem you solved in a fast-paced environment. This will show us you have the right mindset for our team!

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. Plus, it shows us you’re keen to join our team!

How to prepare for a job interview at Lendable

Know Your SQL Inside Out

Since strong SQL skills are a must for this role, make sure you brush up on your SQL knowledge. Be prepared to answer technical questions or even solve problems on the spot. Practising common SQL queries and understanding how to manipulate data will give you a solid edge.

Showcase Your Problem-Solving Skills

This company values a problem-solving mindset, so think of examples from your past experiences where you've tackled challenges. Prepare to discuss specific situations where you identified a problem, analysed data, and implemented a solution. This will demonstrate your analytical thinking and adaptability.

Familiarise Yourself with DBT Models

As the role involves building DBT models, it’s crucial to have a good grasp of what DBT is and how it works. If you have experience with it, be ready to share your insights. If not, do some research and be prepared to discuss how you would approach building models in DBT.

Emphasise Collaboration

Collaboration is key in this role, so be ready to talk about your experience working with cross-functional teams. Highlight any projects where you worked closely with others, especially in a fast-paced environment. This will show that you can thrive in a collaborative atmosphere and contribute positively to team dynamics.

Analytics Engineer — Remote, Equity & Growth in Fintech
Lendable

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