Data Analyst - London

We are looking for an experienced Data Analyst to join an exciting transformation programme focused on evolving how the organisation uses data to drive better business decisions.

This role will play a key part in enabling self-service analytics by leveraging Looker to create semantic layers across core datasets. These semantic models will support Looker AI Agents (Looker Conversation), Large Language Models (LLMs) and automated push notifications, giving business users greater flexibility to explore data, receive proactive insights and accelerate decision-making.

A significant focus of this role will be working with LLM-powered AI solutions, reviewing large and complex datasets, validating AI-generated outputs and ensuring that insights delivered to the business are accurate, reliable and fit for purpose. You’ll be responsible for maintaining rigorous quality assurance standards and will have the confidence to sign off AI-generated outputs before they are released to the business.

Working closely with business stakeholders, data engineering teams and analytics specialists, you’ll help shape how AI, semantic modelling and trusted data are used across the organisation.

• Looker expertise - Proven hands-on experience developing and working within the Looker platform, including semantic layer creation and optimisation.
• Looker AI Agents - Experience working with or supporting AI Agents within Looker (Looker Conversation), helping to optimise semantic models and improve AI-generated responses.
• Automated Push Notifications - Experience building or supporting automated push notifications and proactive insight delivery using data-driven workflows.
• LLM & AI experience - Strong experience working with Large Language Models (LLMs), AI-powered analytics or conversational AI solutions, ensuring outputs are accurate, relevant and trusted.
• Large Dataset Analysis - Extensive experience analysing, interrogating and validating large, complex datasets, identifying anomalies and ensuring data integrity across AI-driven solutions.
• Semantic Layer Development - Collaborate with business domain experts to design, build and optimise semantic layers, working closely with Data Engineering to improve performance and scalability.
• Quality Assurance - Significant experience testing, validating and quality assuring data products and AI-generated outputs, with exceptional attention to detail and a critical eye for accuracy.
• Results Ownership - Confident taking accountability for data quality and formally signing off whether AI-generated insights meet business and delivery standards.
• AI & Machine Learning Lifecycle - Previous experience supporting AI/ML initiatives and AI agents from development through to deployment, with an understanding of model validation and continuous improvement.
• SQL Proficiency - Strong working knowledge of SQL for analysing, interrogating and validating large datasets.
• Stakeholder Engagement - Partner with business stakeholders to understand key business questions and translate requirements into trusted analytical models.
• Adaptability - Comfortable working in an agile environment where priorities evolve, AI capabilities mature and continuous learning is encouraged.

This is an exciting opportunity to work at the forefront of AI-enabled analytics, helping shape how the organisation leverages LLMs, Looker AI Agents, semantic modelling and automated push notifications to transform how data is consumed and trusted across the business.