Analytics Engineer

About Lendable

Lendable is on a mission to build the world's best technology to help people get credit and save money. 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 700 people
• Among 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.

Join us if you want to:

• Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1.
• Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo.
• Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting.

About the role

As an Analytics Engineer 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)
• Stage 3: Peer interviews to assess technical skills and problem‑solving (90 minutes)
• Stage 4: Final interview with CTO/CMO and Growth team members

Life at Lendable:

The opportunity to scale up one of the world’s most successful fintech companies. Best‑in‑class compensation, including equity. You can work from home every Monday and Friday if you wish - on the other days, those based in the UK come together IRL at our Shoreditch office in London to be together, build and exchange ideas. Enjoy a fully stocked kitchen with everything you need to whip up breakfast, lunch, snacks, and drinks in the office every Tuesday-Thursday. We care for our Lendies’ well‑being both physically and mentally, so we offer coverage when it comes to private health insurance. We're an equal‑opportunity employer and are looking to make Lendable the most inclusive and open workspace in London.