About the role
As an Analytics Engineer on our Growth team, you’ll play a key part in building the data foundations that drive our user acquisition and business partnerships across our credit card and personal loan products. Working closely with analysts, commercial managers, product managers and engineers you’ll help shape how we collect, transform, and use data to make better decisions every day.
You’ll focus on creating and maintaining both data models in our warehouse that power our customer user acquisition and monitor commercial funnel performance as well taking ownership of the data reporting suite with external partners. Your work will directly support our strategy and ability to acquire customers for our two biggest UK products.
This role is ideal for someone who’s comfortable in SQL, enjoys solving problems with data, and wants to grow further in their career.
What You’ll Be Doing
Owning our suite of external partner data reports, critical to the functioning of our relationships with origination partners.
Building and maintaining DBT models to transform raw data into reliable datasets for analysis.
Collaborating closely with analysts to design data models that make reporting and insights easier.
Working with product and marketing teams to ensure new features, products and campaigns are properly instrumented.
Investigating and fixing issues in our analytics pipelines to keep data accurate and up to date.
Helping document data sources, models, and best practices so the team can move faster.
Learning from and collaborating with senior engineers and analysts to improve your technical skills.
What We Offer
Real impact: See your work directly influence how we grow our customer base and improve retention.
Best-in-class tools: Work with Snowflake, DBT, and Fivetran to deliver reliable data at scale.
Collaborative environment: Join a cross-functional team of analysts, engineers, and product managers.
Room to grow: Learn from experienced colleagues with opportunities to expand your technical and business expertise.
Varied projects: Get hands-on experience across marketing, business development and product analytics.
What We’re Looking For
Good SQL skills and some experience with data modelling.
Familiarity with DBT (or willingness to learn).
Exposure to modern data warehouses like Snowflake, BigQuery, or Redshift.
An analytical mindset, with the ability to translate business questions into data solutions.
Willingness to learn and grow in a fast-paced environment.
Strong communication and collaboration skills, especially when working with non-technical stakeholders.
Experience communicating and collaborating with external stakeholders a nice to have.
Interview Process
Stage 1: Quick phone call with Talent team (30 minutes)
Stage 2: Take-home SQL test (approx. 2 hours, return within a week)
Stage 3: Peer interviews to assess technical skills and problem-solving (90 minutes)
Stage 4: Final interview with CTO/CMO and Growth team members
