ABOUT LENDABLE

Lendable is on a mission to make consumer finance amazing: faster, cheaper, and friendlier. We’re building one of the world’s leading fintech companies and are off to a strong start:

• One of the UK’s newest unicorns with a team of just over 600 people
• Among the fastest-growing tech companies in the UK
• Profitable since 2017
• Backed by top investors including Balderton Capital and Goldman Sachs
• Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)

So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days.
We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.

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.