Senior Data Analyst, Lendable

• 3+ years of experience in data analytics, ideally within a product-led or high-growth tech environment
• Deep expertise in analytical methods including funnel optimisation, segmentation, cohort analysis, LTV modelling, and regression techniques
• High proficiency in SQL and strong command of one or more analytics tools or statistical packages (e.g., Python, R)
• Hands-on experience with DBT and familiarity with data modelling best practices
• Skilled in experimentation frameworks (A/B testing, hypothesis testing, causal inference)
• Demonstrated ability to turn ambiguous problems into structured, hypothesis-driven, data-supported insights
• Excellent communication skills with experience influencing cross-functional stakeholders and product leaders

Desirable

• 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 Senior Data Analyst to run marketing and growth analytics in our rapidly evolving multi-product app
• As Lendable scales its products across lending, engagement features and other financial services, the complexity and volume of data-driven decisions have grown exponentially
• This role is central to unlocking insights that will shape our drive acquisition efficiency and fuel product innovation, overseeing the full breadth of digital and non-digital channels across multiple products
• You will be the senior analytical voice across our Zable direct marketing initiatives - owning end-to-end marketing funnel data, capture requirements, insight generation, experimentation strategy, and advanced analytics projects
• Beyond individual contribution, you will instill best practices and be a key thought partner to product, growth, and engineering leaders
• Analyse marketing campaign performance across multiple channels and conduct analyses to identify trends and opportunities for optimisation
• Structure and execute high-impact analyses in acquisition funnels to inform marketing spend and product evolution
• Drive experimentation rigor: design, implement, and analyze A/B tests, multivariate experiments, and cohort studies
• Co-operate with product and credit teams to ensure mid to deep funnel performance is improved
• Influence data architecture by contributing to schema design that enable more insights
• Build high quality, scalable pipelines and transformations that increase interpretability of data and increase the teams’ agility
• Serve as a thought partner to Product Managers and Credit Managers - ensuring analytical insight drives roadmap prioritisation and credit assessments
• Collaborate with the creative and design team to deepen insights at the creative and campaign level to enhance prioritisation of their ideas

• Screening call
• Take home task and cognitive tests
• Case study
• Final Interview