Data Analyst (Strategic Projects)

Overview

In this role you will shape the data-driven operating model for Lendable’s fastest-growing fintech operations. You’ll work at the intersection of analytics, data science, and AI engineering to apply data, LLMs, and automation at scale. You’ll diagnose demand drivers, identify commercial opportunities, and build KPI frameworks to reduce cost-to-serve while improving customer outcomes. You’ll collaborate with senior leadership to turn raw data into concise, actionable recommendations. This is an opportunity to own high-impact analytics end-to-end and ship solutions that scale across geographies and products.

Pay / Benefits

• equity
• hybrid work
• private health insurance
• London Shoreditch office
• well-being support
• high-visibility projects

Responsibilities

• Design and deploy automation using Python and LLM APIs to replace manual processes and scale production workflows
• Analyze demand drivers and model cost optimization and resourcing implications
• Build KPI frameworks and funnel views across customer journeys to enable data-driven decisions
• Collaborate with senior Ops leadership to own analytics for high-impact initiatives

Key requirements

• 1–3 years of experience with SQL and Python in a professional setting
• Strong numerical ability and analytical reasoning
• Ability to structure analysis, prototype solutions, and deliver insights independently
• Experience communicating data-driven recommendations to non-technical stakeholders

• analytical mindset
• clear communication with cross-functional teams
• comfort with ambiguity and fast-paced environments
• SQL
• Python
• LLMs/APIs (e.g., OpenAI)

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