BI Solutions Analyst

Are you ready to play a key role in a modern data transformation? We are seeking a BI Solutions Analyst to join our Data Centre of Excellence. In this role, you will help us transition from legacy systems to a cutting-edge Microsoft Fabric platform, ensuring our reporting assets are accurate, reliable, and high-performing. This is an intermediate-level position focused on day-to-day operational delivery, reporting development, and semantic model support within an established architectural framework.

Key Responsibilities Reporting Development & Maintenance:
Build and modify Power BI dashboards; manage version control and workspace governance; and translate business needs into actionable visuals and measures. Semantic Model Support:
Maintain enterprise-level semantic models (including Sales and Finance models) and develop efficient DAX measures aligned with governance standards. Data Triage & Operational Support:
Monitor data ingestion pipelines across Bronze, Silver, and Gold layers. You'll diagnose load failures and inconsistencies within our metadata-driven Fabric framework. Stakeholder Engagement:
Act as the bridge between technical teams and departments like Finance and Sales to gather requirements and translate them into structured user stories. Data Quality & Governance:
Validate data across multiple source systems (CRM, ERP, and HRIS) and maintain rigorous documentation for business logic and dependencies. UAT & Production Support:
Lead first-line analysis of data discrepancies and support the rollout and adoption of reports across the business. Skills & Experience While we are looking for a practitioner with a solid foundation in BI, we view the following technical skills as desirable and are open to candidates who demonstrate the right aptitude and a proactive approach to problem-solving. Desirable Technical Skills Power BI Expertise:

Experience with DAX, Power Query, and report UX/UI design, including row-level security. Microsoft Fabric Knowledge: A working understanding of Lakehouse concepts (Bronze/Silver/Gold), data pipelines, and One Lake storage. Querying & Modelling:
Exposure to SQL or Spark SQL for querying data models, alongside a familiarity with Star Schema principles. Platform Concepts:
An understanding of ETL/ELT concepts with the ability to troubleshoot (rather than design) complex architectures. Soft Skills & Professional Attributes Communication:
Ability to explain complex data concepts to non-technical stakeholders. Attention to Detail: A high degree of accuracy, particularly concerning financial and operational reporting. Proactive Problem Solving: A structured approach to issue triage and the ability to work within established Dev Ops frameworks. Bonus Points For:

Experience with integrated systems like Salesforce, Dynamics 365, or Bullhorn. Exposure to Microsoft Fabric Copilot or AI-assisted BI capabilities. Experience in replatforming legacy reports into modern BI environments.