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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst (Operations Analytics) - **Company:** Lendable Ltd - **Location:** London, UK (Remote available) - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Big Data, Database Queries, Python (Programming Language), Machine Learning, Operational Data Store, SQL Databases, Systems Integration, Large Language Models, Prompt Engineering, Model Validation, Drilldown, Restful APIs, Data Pipelines - **Published:** June 14, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=7fbcdd0d113cd6c2 ## About the Role Do you have experience in Statistics?, * Minimum 1 year of experience in an analytics, data, operations, or technical role. * Strong Python skills are essential, including experience with data analysis, automation, and working with structured datasets. * Strong SQL skills, with the ability to query, join, transform, and analyse large datasets. * Good understanding of basic statistics, including distributions, averages, variance, conversion rates, confidence, and trend analysis. * Basic understanding of data science principles, such as classification, prediction, model evaluation, and feature thinking. * Strong analytical problem-solving skills and the ability to move from problem definition to insight and recommendation. * Comfortable working in ambiguous, fast-paced environments where priorities can change. * Able to operate as both a hands-on analyst and a pseudo-PM when required. * Strong communication skills, with the ability to explain analysis clearly to senior stakeholders. * Comfortable context-switching across reporting, analysis, automation, stakeholder questions, and product support. Nice to Have * Experience with dbt or modern analytics engineering workflows. * Experience building or maintaining data pipelines. * Experience integrating with REST APIs. * Exposure to LLMs, prompt engineering, AI automation, or AI engineering workflows. * Experience building end-to-end Python automations or internal tools. * Understanding of operational workflows such as QA, fraud, disputes, AML, IVR, workforce planning, or customer support. * Experience working with product teams or supporting new product launches. ## Description * 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 We are looking for an Operations Analytics Analyst to join the Operations Analytics team. This is a hands-on role for someone who is strong in Python and SQL, comfortable working with operational data, and excited by the opportunity to build practical analytics and automation solutions. You will work on a mix of reporting, deep-dive analysis, automation, and product expansion projects. The role is particularly focused on supporting growing products, including US expansion, by setting up reporting baselines, identifying operational inefficiencies, and building proof-of-concept automations that reduce cost-to-serve and improve scalability. This is a great opportunity for someone who enjoys context-switching between analytical problem-solving, stakeholder management, and hands-on technical delivery. What You'll Do * Build reporting baselines and performance dashboards for new and growing products, including US expansion. * Analyse operational workflows to identify bottlenecks, inefficiencies, and low-hanging opportunities for improvement. * Use Python and SQL to investigate operational performance, cost-to-serve, customer outcomes, and commercial impact. * Create proof-of-concept automations using Python, APIs, and LLMs to reduce manual work and improve decision-making. * Support analysis across areas such as QA, disputes, AML, fraud, customer support, vulnerability, workforce planning, and service operations. * Translate ambiguous operational problems into clear analytical questions, outputs, and recommendations. * Work closely with Operations, Product, Data, and senior stakeholders to prioritise and deliver high-impact work. * Support data quality, metric definition, and reporting consistency as new products and processes scale. * Present findings clearly to both technical and non-technical stakeholders., * Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites * Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls * Health coverage: support for your physical and mental wellbeing, including private health cover * Retirement & savings: long-term financial wellbeing through retirement savings plans * Employee referral programme: earn a competitive bonus when you refer successful new team members * Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations * Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [REST In Peace: Why LLMs Can't CRUD](https://www.wearedevelopers.com/videos/100272-rest-in-peace-why-llms-can-t-crud) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Best Companies to work for in London: Top 25 Companies in 2023](https://www.wearedevelopers.com/magazine/187-best-companies-to-work-for-in-london-top-25-companies-in-2023)