Operations Data Analyst (Special Projects)
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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. • 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.
Responsibilities
• 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.
Benefits
• 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.
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