Click "Apply with JobAssist" – we tailor your resume and application to this role and submit it for your approval.
Yes. This role at Lendable was screened before publishing – we confirmed the employer before listing it.
The employer didn't disclose a salary range for this listing. JobAssist shows pay whenever it's available.
This position can be done from anywhere, with no in-office requirement.
Yes – every application is tailored from your profile and this job's requirements, and you can review and edit before it's sent.
An Analytics Engineer at Lendable works at the intersection of analytics engineering and Python-based data engineering, transforming and modelling data while also leveraging Python to build data workflows, automate processes, and build tools to optimise day-to-day work. This role suits someone with strong technical fundamentals, excellent communication skills, and a genuine interest in building high-quality data products.
Nice to have:
Lendable is on a mission to build the world's best technology to help people get credit and save money. It is one of the UK's most exciting unicorns with a team of over 800 people and is among the fastest-growing tech companies in the UK, profitable since 2017 and backed by top investors including Balderton Capital and Goldman Sachs. Lendable has rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance, and is growing fast, 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.
