AI Data Analyst

We are seeking an experienced AI Data Analyst to support a major enterprise AI transformation programme.

This role will focus on measuring, analysing, and reporting on AI adoption across the organisation, helping drive data-led decision-making and maximise the value of AI technologies.Working closely with stakeholders across Data, IT, Finance, and business functions, you will be responsible for managing AI-related datasets, producing insightful reporting, and developing dashboards that provide visibility into AI usage, productivity gains, ROI, and business impact., * Produce monthly, quarterly, and ad hoc reporting on AI adoption, engagement, productivity, ROI, and business value.

• Analyse and combine data from multiple systems to generate meaningful insights and actionable recommendations.
• Manage recurring data processes including collection, validation, reconciliation, refreshes, and issue resolution.
• Develop and maintain dashboards, reports, and visualisations for operational and executive stakeholders.
• Support data governance activities including data quality, ownership, metadata, lineage, and access controls.
• Investigate data issues and perform root cause analysis to improve data integrity and reporting accuracy.
• Collaborate with technical and non-technical stakeholders to define reporting requirements and improve data accessibility.
• Operate effectively within a fast-paced environment with evolving priorities and requirements.

• Strong experience with Databricks for data analysis, transformation, automation, and analytics workflows.
• Advanced SQL skills with experience working across multiple structured and unstructured data sources.
• Experience using Python, notebooks, or similar Scripting tools for data preparation, analysis, and automation.
• Hands-on experience with Power BI, Tableau, or similar BI and visualisation platforms.
• Proven ability to build dashboards, reports, and data models that support business decision-making.
• Understanding of data governance principles including metadata, lineage, access management, and data quality.
• Experience communicating analytical findings to both technical and business stakeholders.
• Strong problem-solving skills with the ability to investigate and resolve complex data issues.
• Excellent attention to detail, documentation, and process management.

Desirable Skills

• Experience measuring and reporting on AI adoption, usage, productivity, and ROI.
• Familiarity with AI tools such as Microsoft Copilot, ChatGPT Enterprise, GitHub Copilot, Power Automate, or similar technologies.
• Understanding of AI token consumption, usage patterns, and associated cost drivers.
• Experience with Azure Data Lake, Delta Lake, Unity Catalog, or related modern data platforms.
• Knowledge of machine learning workflows, AI agents, and large-scale data processing concepts.
• Exposure to CI/CD practices, Git, and version control within data and analytics environments.