Lead Product Analyst

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 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.

We are looking for an experienced Lead Product Analyst to drive product analytics across our rapidly evolving multi-product app. In this role, you will play a pivotal part in uncovering insights that shape and accelerate our insurance product offering. This is a high-impact role where your insights will directly shape product strategy and accelerate our insurance offering.

You will serve as the primary analytical voice for our insurance product, driving the entire experimentation lifecycle, influencing the product roadmap, and shaping critical business decisions. Beyond individual contribution, you will be instrumental in establishing analytical best practices, and acting as a key strategic thought partner to Product, Growth, and Engineering leadership.

• Be the dedicated analytical leader for the insurance product, deeply understanding user behavior, engagement funnels, and conversion drivers to identify high-impact opportunities

• Develop and maintain key product metrics, dashboards, and reporting frameworks that provide visibility into user behavior, product health, and business performance

• Conduct deep-dive analyses into user behaviour, segmentation, and lifecycle patterns to identify growth opportunities and friction points

• Apply data science techniques to build predictive models for user behavior, churn risk, and uplift modeling to inform proactive product decisions

• Own the end-to-end A/B testing process, including experimental design, execution, analysis and recommendations

• Establish experimentation standards and best practices, including test design, statistical rigour, and result interpretation

• Challenge assumptions and provide data-driven perspectives that shape strategic discussions and roadmap planning

• Proactively partner with product managers, analysts and engineers to embed data into the daily decision-making flow and translate complex findings into clear business recommendations

• Define and champion analytics best practices, standards, and methodologies within the growth analytics team

• 5+ years of experience in data analytics, ideally within a product-led or high-growth tech environment

• Hands-on experience with dbt and familiarity with data modelling best practices

• High proficiency in SQL and strong command of one or more analytics tools or statistical packages (e.g., Python, R).

• Skilled in experimentation frameworks (A/B testing, hypothesis testing, causal inference)

• Experience building metrics, dashboards and reporting infrastructure

• Demonstrated ability to turn ambiguous problems into structured and data-drive insights

• Excellent communication skills with experience influencing…