4 of 4 Remote/Hybrid Business Intelligence Jobs in Middlesex

role in the delivery of a large-scale Microsoft Fabric migration and Dynamics 365 implementation . This is an excellent opportunity to join a business that views data as a strategic asset and is committed to building a modern, scalable data platform that will support advanced analytics, business … stakeholder management experience Desirable Experience PySpark and/or Python development Azure Data Factory (ADF) Azure Synapse Analytics Azure Data Lake Storage Power BI development and data modelling Exposure to AI, Machine Learning, or advanced analytics projects Microsoft certifications such as DP-600 or DP-203 Experience working within large ...

data delivery/data project management roles Strong stakeholder management, especially with HR and People teams Proven experience delivering data platforms, pipelines, or BI solutions Experience managing multiple workstreams and dependencies Desirable Desirable of AWS Snowflake Exposure to cloud platforms (Azure, AWS, or GCP) Understanding of ETL tools Experience with … data governance frameworks Knowledge of BI tools (Power BI, Tableau, Looker) Experience working in Agile environments (Scrum/Kanban) Key Behaviours Strong ownership and accountability for delivery outcomes Structured and organised approach to planning and execution Ability to influence without direct authority Comfortable working in fast-paced, changing environments Problem ...

shape how exposure is measured and communicated across the organisation, leveraging automation, advanced analytics and machine learning to move from static reporting to proactive, intelligence-led decision support. What you’ll do Design, develop and maintain reporting across Vulnerability Management, Secure Configuration, Attack Surface Management (ASM) and Exposure Validation. … view. Develop dashboards covering exposure posture, remediation performance, SLA adherence and coverage. Automate reporting using scripting, SQL and data pipelines. Apply machine learning, artificial intelligence and other analytics to improve prioritisation and identify trends. Use data and reporting to identify high impact remediation activities Define reporting standards, KPIs ...

across the Group, moving to a unified, conversational, proactive AI insight layer built on the Central Data Layer (CDL).This role goes beyond traditional BI or analytics leadership. It requires redefining the paradigm of insight consumption from "pull-based reporting" to "AI-driven push, nudging and decision support", enabled through … modelling AI/LLM-enabled analytics and conversational interfaces Track record of delivering user-facing products with high adoption. Experience driving transformation from traditional BI/reporting to advanced analytics or AI-driven models. Exceptional stakeholder management, with credibility at senior leadership levels. Ability to operate at both strategic ...