# Data Analyst at Lendable Data Analyst at Lendable in London. Hybrid, full-time. Posted October 16, 2026. - Company: Lendable - Location: London - Workplace: Hybrid - Job type: Full-time - Experience: 2+ years - Posted: 2026-10-16 - Apply: https://jobs.ashbyhq.com/lendable/77e2a14b-f8c2-4b7c-b889-f98c20334e92/application - Source: https://jobmagic.ai/jobs/data-analyst-lendable-hhc805 ## Requirements - 2-3 years of hands-on experience using Python in a professional setting. - Highly numerate with strong analytical reasoning - Ability to independently structure analysis, build prototypes, and deliver insights. - Experience communicating data-driven recommendations to non-technical business stakeholders. ## Description ### 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 most exciting unicorns with a team of over 800 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: **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:** Lendies are relentlessly resourceful. We challenge the status quo to solve problems and find smarter solutions - **Build the best technology in-house**: we use new data sources, machine learning and AI to make machines do the heavy lifting ### **About the Role** We’re building the most advanced, data-driven operating model in fintech. As part of Lendable’s Operations Science & Strategy team, you’ll sit at the intersection of analytics, data science, and AI engineering - using **data, LLMs, and automation **to transform how our Operations teams work at scale. You’ll work directly with senior operations leadership working on **special projects** to diagnose demand drivers, uncover commercial opportunities, build KPI frameworks, and deploy automation that materially reduces our cost-to-serve while improving customer outcomes. If you’re technical, curious, and love owning problems end-to-end, this is the role for you. ### **What You’ll Do** ### **1. Automation & AI Engineering** - Use Python and LLM APIs (e.g. OpenAI) to design and deploy automation that replaces manual CS/FS processes. - Build prototypes, test with real operations data, and scale the successful ones into production workflows. - Partner with PMs and engineers to operationalise AI-driven solutions across Operations. ### **2. Demand Analytics & Strategy** - Analyse key operations demand drivers (contact per customer, reason drivers, seasonality, servicing behaviour). - Identify levers to reduce avoidable demand and improve customer outcomes. - Build analytical models that drive decision-making around cost optimisation and resourcing. ### **3. KPI & Funnel Intelligence** - Build clear, robust KPI frameworks and funnel views across customer journeys. - Translate data into commercial insight, operational efficiency recommendations, and productivity tracking. - Create metrics that scale across new geographies, products, and teams. ### **4. Work With Senior Leadership** - Work directly with Ops Directors, Heads of CS/FS/Fraud/Complaints, and the COO on strategic initiatives. - Turn raw data into narrative-driven recommendations that are simple, actionable, and commercially grounded. - Own analytics for high-impact projects end-to-end. ### **What We’re Looking For** ### **Must-Have Skills** - **2-3 years of hands-on experience** using **Python** in a professional setting. - Highly numerate with strong analytical reasoning - Ability to independently structure analysis, build prototypes, and deliver insights. - Experience communicating data-driven recommendations to **non-technical business stakeholders**. ### **Nice-to-Haves** - STEM Degree - Experience with **dbt** or modern data stacks. - Familiarity with LLMs, APIs, or interest in building AI automation. - Exposure to product, strategy, or operations environments. - Thrives in fast-paced, ambiguous environments. - Comfortable wearing multiple hats **Analyst**, **Data Scientist**, **AI Engineer**, **PM**. - Highly motivated, entrepreneurial mindset, and excited by building the strongest operating model in fintech. ### **Why Join** - Work on high-visibility,** high-impact projects** that directly shape the future of Lendable’s operations. - Build automation and analytics used daily by hundreds of agents and thousands of customers. - Collaborate with a small, sharp, and ambitious team that moves fast. - Real ownership: if you build it, you’ll see it shipped and scaled. ### Interview process Cognitive test Screening Call + Python Questions Live Technical Python Interview Final interviews with 2 senior leaders ### Life at Lendable - **Winning team: **the opportunity to scale up one of the world’s most successful fintech companies - **Flexible working: **flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites - **Socials & connection: **opportunities and events to come together, socialise, and get to know each other beyond the office walls - **Health coverage:** support for your physical and mental wellbeing, including private health cover - **Retirement & savings:** long-term financial wellbeing through retirement savings plans - **Employee referral programme:** earn a competitive bonus when you refer successful new team members - **Office meals & snacks:** enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations - **Sustainable commuting:** cycle-to-work and electric vehicle salary sacrifice schemes available in select locations ***Please note:** The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.* Check out our blog!