Power BI & AI Solutions Specialist

Power BI & AI Solutions Specialist Hybrid (London) | O/ir35 | 6 Months initial We are seeking an experienced Power BI & AI Solutions Specialist with a strong background in FinOps to drive business intelligence and cloud cost optimisation across our organisation. This role will play a key part in designing, developing, and delivering data-driven solutions that enable smarter financial and operational decision-making. Working closely with stakeholders across Operations, Finance, Delivery and Leadership teams, you will translate business requirements into powerful insights through the use of advanced dashboards, automation, and AI-driven analytics. Key Responsibilities: Gather and document business requirements from stakeholders across multiple departments. Design, build, and deploy tailored Power BI dashboards and automated reports, covering areas such as cloud expenditure, budgeting, forecasting, and operational performance. Build and maintain robust data models, DAX measures, and transformations to support reliable and efficient reporting. Provide regular insights and recommendations to support data-driven decision-making across the organisation. Collaborate with data engineering teams to ensure seamless data integration and high-quality data pipelines. Apply AI and machine learning models to surface predictive insights, detect anomalies, and identify optimisation opportunities within financial and operational datasets. Required Skills and Experience: Minimum of 3 years’ in BI or FinOps (MI) roles. Advanced expertise in Power BI, including DAX, Power Query (M), and Modelling. Experience using AI/ML tools such as Python, Azure Machine Learning, or AutoML platforms. Strong ability to engage with stakeholders, gathering requirements and translating them into effective technical solutions. Excellent communication skills, with the ability to present technical findings clearly and effectively to both technical and non-technical audiences. Experience with automation tools such as Power Automate or Logic Apps. Preferred Qualifications: Experience integrating financial, cloud, and operational data from multiple systems. Familiarity with Azure Data Factory, SQL Server, or similar ETL platforms. FinOps Certified Practitioner certification