Strategy Analytics Manager

Lendable·Londonsenior

En corto

→Gestiona métricas operativas y KPIs clave para mejorar eficiencia y experiencia del cliente.
→Dirige optimizaciones de procesos con enfoque en datos, usando SQL y Python para generar decisiones basadas en evidencia.
→Actúa como socio analítico directo del COO, combinando liderazgo de equipo y entrega técnica de alto impacto.

Experiencia trabajando en entornos internacionales o con equipos multiculturales es valora

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¿Qué piden?

✓Experiencia comprobada en análisis operativo con enfoque en métricas de negocio y KPIs.
✓Capacidad para liderar un equipo pequeño y gestionar múltiples stakeholders en entornos ágiles.
✓Habilidades avanzadas en SQL y Python para análisis de datos y automatización.
✓Experiencia en transformación operativa, optimización de flujos de trabajo y resolución de cuellos de botella.
✓Capacidad para traducir análisis en acciones concretas y medir impacto real.
✓Compromiso con la calidad, precisión y confiabilidad de la información para la toma de decisiones.

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¿A quién escribirle en 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 The role We are hiring a Strategy Analytics Manager or Senior Manager – Operations, with the final level determined by the successful candidate’s experience. You will act as the COO’s go-to analytical partner, reporting to the CRO: combining strategic judgement, strong stakeholder management and hands-on technical delivery. This is both a management and coding role - you will lead a small team while personally delivering high-priority analysis using SQL and Python. Key themes of the role 1. Operations MI, KPI and customer outcome metrics ownership You will have full accountability for Operations management information and performance reporting. You will: Own MI across front-office and back-office Operations departments Define and govern KPIs covering demand, SLAs, throughput, productivity, quality and customer outcomes Ensure operational efficiency is balanced with fair, timely and effective outcomes for customers Identify where operational processes or service performance are creating customer friction, repeat contact or poor outcomes Ensure reporting is accurate, consistent and trusted by senior leadership Develop strategic north-star metrics that show whether Operations is becoming more effective and scalable Move the function beyond retrospective reporting towards forward-looking insight and decision support 2. Workflow optimisation and operational strategy You will work closely with Operations Directors, Heads of Department, the Operations Transformation Office and Product teams to identify, prioritise and deliver the highest-value operational opportunities. You will: Diagnose bottlenecks, failure demand, customer friction and inefficient workflows Work with Transformation and Product to define which problems and opportunities to pursue Identify the lowest-hanging fruit and quantify the potential operational and customer value Recommend improvements to processes, routing, tooling, products and ways of working Define clear hypotheses, baselines and success measures before changes are implemented Measure realised impact precisely and determine whether initiatives should be scaled, adjusted or stopped Translate analysis into clear decisions, actions and ownership 3. Demand, SLAs and resourcing You will own the analytical cycle supporting operational planning and performance decisions.

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