Be the dedicated analytical leader for our new consumer banking 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
Partner with risk and fraud teams by surfacing behavioural signals that may indicate unusual activity
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
Requirements
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 cross-functional stakeholders and product leaders.
Tech Stack
Python
SQL
Benefits
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