Operations Analytics & Strategy Lead

Lendable Ltd; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Health coverage

Hybrid working

Retirement & savings

Office meals & snacks

Employee referral programme

Job summary

Lendable Ltd in London is seeking a Strategy Analytics Manager or Senior Manager – Operations to join the COO’s analytics team. You will lead a small team and personally deliver high-priority analysis using SQL and Python, partnering with senior leaders to drive operational decisions.

The role combines management and hands-on analytics, reporting to the CRO, and requires strong stakeholder skills and commercial judgement.

Qualifications

• Very strong SQL and Python
• 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

Responsibilities

• Own MI across front-office and back-office Operations departments.
• Define and govern KPIs covering demand, SLAs, throughput, productivity, quality and customer outcomes.
• Ensure reporting is accurate, consistent and trusted by senior leadership.
• Move the function beyond retrospective reporting towards forward-looking insight and decision support.
• Diagnose bottlenecks, failure demand, customer friction and inefficient workflows.
• Define 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.

Skills

SQL

Python

APIs

Excel

Analytics modelling

Stats & experiments

Data Science

Automation & LLMs

LLM concepts

Tools

dbt

Job description

Lendable Ltd in London is seeking a Strategy Analytics Manager or Senior Manager – Operations to join the COO’s analytics team. You will lead a small team and personally deliver high-priority analysis using SQL and Python, partnering with senior leaders to drive operational decisions.

The role combines management and hands-on analytics, reporting to the CRO, and requires strong stakeholder skills and commercial judgement.