Power BI, Data Fabric & Project Management Analyst

Experience Required: Minimum 3+ years of experience across Power BI reporting, data visualisation, Microsoft Fabric/Data Fabric, AI-enabled analytics, data analysis, project coordination, PMO, operations, business analysis, or related roles.

Role Summary

Seeking a highly organised and analytical professional to support Power BI reporting, dashboard development, data visualisation, Microsoft Fabric/Data Fabric capabilities, AI-enabled analytics, project management, governance, reporting, and process automation activities. The role will be responsible for building and maintaining reports, supporting data models and reporting layers, enabling AI-assisted insights, coordinating projects, tracking action items, managing documentation, and providing data-driven analysis to stakeholders.

Key Responsibilities

- Develop, maintain, and enhance Power BI reports, dashboards, scorecards, and management reporting packs.
- Create transparent and effective data visualisations that help stakeholders understand trends, performance, risks, opportunities, and key business drivers.
- Support Power BI report development from requirements gathering through design, data validation, testing, publishing, refresh monitoring, and user adoption.
- Work with Microsoft Fabric/Data Fabric capabilities, including Lakehouse, Warehouse, SQL endpoint, dataflows, semantic models, curated reporting layers, and reusable datasets where applicable.
- Support AI-enabled analytics in Microsoft Fabric and Power BI, including Copilot-assisted report creation, natural language querying, automated insight generation, narrative summaries, anomaly identification, and AI-assisted data exploration.




- Validate AI-generated insights and reporting outputs against trusted data sources before sharing results with stakeholders or leadership.
- Conduct data analysis using Excel, Power BI, and available data platforms to support decision-making, performance tracking, and business reviews.
- Prepare project updates, dashboards, presentations, and management reports for stakeholder and leadership consumption.
- Schedule and coordinate meetings, workshops, and stakeholder reviews.
- Prepare agendas, capture meeting minutes, track follow-up actions, and maintain action logs.
- Maintain project plans, milestones, risks, issues, dependencies, and status trackers.
- Manage SharePoint sites, Teams folders, and document repositories to support governance and collaboration.
- Run, monitor, troubleshoot, and maintain Power Automate flows and support Power Apps administration, testing, and enhancements.
- Drive process improvements, automation opportunities, self-service reporting adoption, and data quality improvements.

Required Skills

- Minimum 3 years of relevant experience across reporting, analytics, project coordination, PMO, operations, or business analysis.
- Strong proficiency in Power BI, including report development, dashboard design, data visualisation, Power Query, basic DAX, semantic models, publishing, and refresh monitoring.




- Working knowledge of Microsoft Fabric/Data Fabric concepts such as Lakehouse, Warehouse, SQL endpoint, dataflows, semantic models, curated datasets, and reporting layers.
- Familiarity with AI-enabled analytics capabilities, including Copilot-assisted reporting, natural language queries, automated insights, narrative summaries, anomaly detection, and AI-assisted data exploration.
- Strong data analysis skills, including data validation, reconciliation, trend analysis, variance analysis, and interpretation of business performance indicators.
- Strong proficiency in Microsoft Excel, PowerPoint, Teams, Outlook, and SharePoint.
- Hands-on experience with Power Automate, Power Apps, and Power BI.
- Strong project coordination skills, including action tracking, stakeholder follow-up, status reporting, risk and issue tracking, and documentation management.
- Strong organisational, analytical, communication, and stakeholder management skills.
- Ability to manage multiple priorities and work independently.

Preferred Qualifications

- Bachelor's degree in Technology, Data Analytics, Information Systems, Computer Science, or related field.
- Knowledge of Agile and Waterfall project management methodologies.
- Microsoft Power BI, Power Platform, or Microsoft Fabric certifications are an advantage.
- Experience supporting self-service BI, reporting governance, data quality checks, metadata documentation, or dashboard adoption.
- Exposure to data engineering concepts such as ingestion, transformation, Lakehouse architecture, Medallion architecture, curated reporting datasets, and reusable semantic models.
- Experience working with AI-enabled productivity, reporting, or analytics tools is an advantage.

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