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Data Analyst- AI Adoption
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Experienced Data Analyst for AI Transformation Programme
We are seeking an experienced 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.
Cambridge (2 days onsite per week) | 6-Month Contract | Inside IR35
Key Responsibilities
- 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.
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Essential Skills & Experience
- 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.
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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.
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