Strategy Analytics Manager

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

companies in the UK

• Profitable since

• Backed by top investors including

You will have full accountability for Operations management information and performance reporting. You will:

• Own data 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

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

You will own the analytical cycle supporting operational planning and performance decisions. This includes:

• Understanding changes in demand and customer contact behaviour

• Supporting forecasting, capacity and headcount decisions

• Evaluating SLA and service-level trade-offs

• Measuring throughput and productivity consistently

• Identifying emerging risks or operational pressure points

• Helping leaders make evidence-based prioritisation and resourcing decisions

You will be expected to explain not only what happened, but why it happened, what should change and how success should be measured.

You will partner closely with Data Science and Operations teams to assess the impact of automation, AI and LLM-led initiatives. You will:

• Define hypotheses, baselines, control groups and success metrics

• Measure time saved, quality improvements, risk reduction and customer impact

• Identify unintended consequences or displacement of work

• Prioritise automation opportunities based on value and feasibility

• Ensure claimed benefits are supported by credible measurement

You will also develop an understanding of the regulatory environment surrounding fintech Operations, including complaints, vulnerability, fraud, PEP and sanctions screening, customer due diligence and conduct risk.

You must be highly hands-on and comfortable working directly with data.

• Advanced Python skills and strong SQL

• Experience working with APIs

• Advanced Excel and strong 80/20 analytical judgement

• Understanding of semantic data models and good analytics engineering practices

• Basic statistics, experimentation and causal measurement knowledge

• Understanding of Data Science, automation and LLM principles

• dbt experience is helpful but not essential

• Strong commercial and operational judgement,

• Able to translate complex analysis into simple business decisions

• Excellent stakeholder management skills, comfortable influencing and constructively challenging senior leaders

• Capable of working at pace across several competing priorities