Growth Analyst

Lendable·Londonmid

In short

→Analista de crecimiento que impulsa decisiones con datos en una fintech en crecimiento.
→Día a día: modela LTV, analiza campañas, diseña experimentos y colabora con producto e ingeniería.
→Destacado: Trabajas desde el inicio en una de las fintech más rápidas del Reino Unido con impacto directo.

Proficiency in English required

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What they ask for

✓3+ años en análisis de datos en empresas tech de alto crecimiento.
✓Experto en modelos de LTV, cohortes y regresiones.
✓Dominio de SQL y una herramienta analítica como Python o R.
✓Experiencia con DBT y buenas prácticas de modelado de datos.
✓Habilidades en A/B testing, inferencia causal y diseño de experimentos.
✓Capacidad para convertir datos en recomendaciones accionables.

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SQLPythonRDBTA/B testingCausal inferenceRegression techniquesCohort analysisData modellingExperimentation frameworks

Who should you write to at Lendable?

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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 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. 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 We are looking for a Growth 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'll be the analytical voice across our Zable direct marketing initiatives. Day to day you'll be maintaining and improving our customer lifetime value (LTV) models, running experimentation, owning growth reporting, and maintaining our attribution models. You'll work closely with product, growth, and engineering to make sure decisions are grounded in reliable data. What You'll Do Impact & Analytical Leadership Maintain, monitor, and refine our customer lifetime value models across products and channels Analyze 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 Turn experiment results into clear, actionable recommendations 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 Cross-Functional Partnership Drive recommendations on channel optimisation and marketing spend 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. Qualifications 3+ years of experience in data analytics, ideally within a product-led or high-growth tech environment Deep expertise in analytical methods including LTV modelling, cohort analysis and regression techniques. , 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).

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