An enterprise analytics transformation team in Dubai is seeking an analytically skilled AI Data Transformation Analyst to support the implementation of enterprise analytics transformation initiatives. This role develops data models, builds Power BI dashboards and reports, automates reporting processes using Power Automate, and assists in AI-powered analytics projects — working across semantic modelling, data engineering, BI reporting, workflow automation, AI agent configuration, and data governance.
About This Enterprise Analytics Transformation Role
Focus: Supporting enterprise analytics transformation — data models, BI reports, automation, and AI-powered analytics
Architecture: Bronze, Silver, and Gold data layer implementation and maintenance
BI Platform: Power BI dashboards, operational reports, and automated scheduling
AI Integration: AI-powered reporting solutions, prompt development, and reusable AI skill maintenance
Why This AI Data Transformation Role Stands Out
Full-Stack Analytics: Covers semantic modelling, data engineering, BI, automation, AI agents, and governance in one role
Semantic Model Building: Implement standardised business dimensions, shared keys, and KPI documentation
Power Automate Workflows: Build and maintain automated report scheduling and simple workflows
AI Agent Support: Configure AI-powered reporting, develop prompts, and maintain reusable AI skills
Position Overview
This AI Data Transformation Analyst role assists in building Bronze, Silver, and Gold data layers, develops and maintains data pipelines, supports data quality validation and reconciliation, implements standardised business dimensions and shared keys, maintains KPI documentation, builds Power BI dashboards and reports, develops recurring operational reports, supports report automation, builds workflows using Power Automate, assists in configuring AI-powered reporting solutions, supports prompt development and testing, performs data quality checks, supports audit documentation, and follows security and Row Level Security (RLS) standards.
Why This Role Matters: As AI Data Transformation Analyst in Dubai, you work across every layer of a modern enterprise analytics stack — from Bronze/Silver/Gold data architecture and semantic modelling through Power BI dashboards, Power Automate workflows, AI agent configuration, and governance — building the analytical infrastructure that powers data-driven decisions for an enterprise-scale organisation while developing a broad, in-demand skill set in one of Dubai’s fastest-growing data roles.
Key Responsibilities
Semantic Model & Data Engineering
- Assist in building Bronze, Silver, and Gold data layers for enterprise data architecture
- Develop and maintain data pipelines supporting analytics and reporting
- Support data quality validation and reconciliation across datasets
- Implement standardised business dimensions and shared keys across the data model
- Maintain KPI documentation for business stakeholders
Business Intelligence & Reporting
- Build Power BI dashboards and reports for enterprise analytics
- Develop recurring operational reports aligned with business requirements
- Support month-over-month analysis and comparative reporting
- Assist with report automation and templating
Automation & AI Agents
- Support automated report scheduling and maintenance
- Build simple workflows using Power Automate for reporting efficiency
- Maintain standardised reporting templates
- Assist in configuring AI-powered reporting solutions
- Support prompt development and testing for AI analytics
- Help maintain reusable AI skills across the analytics platform
Governance & Security
- Perform data quality checks across reporting and analytics assets
- Support audit documentation and compliance activities
- Follow security and Row Level Security (RLS) standards throughout
Who Should Apply?
- Power BI Analysts: Experienced building dashboards and reports for enterprise analytics teams
- Data Engineers: Comfortable working with Bronze/Silver/Gold data layers and maintaining data pipelines
- Power Automate Practitioners: With experience building automated workflows and report scheduling
- AI Analytics Supporters: Interested in AI-powered reporting, prompt development, and analytics agent configuration
- Data Governance Professionals: Familiar with RLS, audit documentation, and data quality standards
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