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About the Role

We're looking for a Staff Analytics Engineer to own the analytical foundation for our US Loans team, the fastest-growing area of the business. In this role, you’ll work closely with analysts, product teams, backend engineers, and business stakeholders to improve how data is structured, transformed, and consumed across the company. The role is fundamentally about building a strong analytical foundation: making it easier for teams to move from question to insight quickly, while maintaining high standards around data quality, scalability, and maintainability. You’ll operate with a high degree of ownership, helping shape the modelling layer, improving how analysts work with data, and ensuring our warehouse remains a strategic asset for the business.

Responsibilities

Owning and improving the data models that support lending decisions, pricing, portfolio analysis, and investor reporting.
Driving the development of our dbt models and transformation layer, working with analysts and stakeholders to improve the speed and quality of insight generation.
Helping define good modelling patterns, architecture, and implementation standards across the analytics engineering layer.
Supporting and mentoring analysts at different technical levels, helping them build stronger engineering habits and become more effective with data.
Mentoring an analytics engineer, setting the direction and priorities for the team.
Acting as a bridge between analysts, backend engineers, product teams, and the data platform team to make sure data is generated, modelled, and used effectively.
Identifying opportunities to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time.
Scaling our data infrastructure to proactively support the requirements of a rapidly growing business.

Requirements

Strong SQL skills
Strong experience with ELT pipelines and transformation at scale, using dbt.
Excellent stakeholder management skills, with a proven ability to influence and negotiate with both technical and non-technical stakeholders.
Strong data modelling skills and a good understanding of how analytical datasets should be structured for reliability and usability.
Good judgement in balancing longer-term platform improvements with day-to-day business needs.
The ability to spot inefficiencies in existing data workflows and improve them independently.
Comfort using AI tools effectively to move faster, improve quality, and strengthen day-to-day analytical and engineering workflows.
Experience with Snowflake or another modern cloud data warehouse.
An interest in helping analysts raise their technical bar through support, mentoring, and better shared patterns.
Fintech or scale-up experience

Skills

SQL
ELT pipelines
dbt
Stakeholder management
Data modelling
AI tools
Snowflake
Cloud data warehouse

Location

Work Type

Hybrid
Remote

Experience Level

Staff

Benefits

Flexible working
Health coverage
Retirement & savings plans
Employee referral programme
Office meals & snacks
Sustainable commuting

About the Company

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 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 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.