BI Analytics Engineer
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Role details
Tech stack
Job description
Do you take pride in razor sharp metric accuracy and high performance reporting estates? We are working with a long term partner to find an Analytics Engineer to act as the central authority for their Power BI ecosystem. Operating in a hub-and-spoke analytics model, you will bridge domain analysts and data engineering, elevating raw insights into enterprise grade, productionised reporting.
What You’ll Do
Own the Gold Layer: Build and optimize high-performance Power BI semantic models and star-schema architectures within a Unified, AI-powered analytics platform Productionize Reports: Review, refine, and promote reports from domain workspaces (Finance, Financial Crime, Marketing) into central production. Drive Metric Governance: Establish and enforce a company-wide KPI glossary, ensuring total consistency in business metrics. Maximize Performance & Security: Master DAX optimization, implement deployment pipelines, and configure row-level security (RLS).
Requirements
Significant hands on experience productionising Power BI reports and managing live estates. Deep expertise in DAX, dimensional modelling (star schema), and layered data architectures. Demonstrable excellence with SQL Exposure to Microsoft Fabric, Azure Synapse, or Azure Data Factory High technical rigor and diplomatic communication You catch the discrepancies others miss and naturally elevate the team’s standards.
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