Azure Data Analyst

Candidate Description

With over three years immersed in data analytics and business intelligence, this professional excels at turning complex, multi-source datasets into actionable insights for executive decision-makers. They bring proven expertise across Azure’s modern data stack—including Azure Synapse, Data Factory, Databricks and Data Lake—alongside deep capability in Power BI and Tableau visualisation. Their experience spans education, consulting and utilities sectors, underpinned by strong communication and stakeholder-engagement skills.

Demonstrating technical depth, they routinely craft enterprise-grade semantic models, author advanced DAX measures and automate ELT pipelines using Azure services. Projects at an Educational Institution highlight their ability to design self-service dashboards adopted by school leadership, while engagements with a Consulting Firm showcase data-model optimisation for energy-consumption analytics. Versed in Agile and Scrum practices, they drive iterative delivery, collaborate through Jira and Confluence, and enforce performance testing to safeguard data quality.

Beyond technical delivery, they cultivate cross-functional relationships, mentor peers on BI best practice and document robust governance standards to ensure long-term platform sustainability. Adaptable across diverse domains—from education to professional services—they add value by aligning analytical solutions with strategic objectives, ultimately empowering organisations to make data-driven decisions with confidence.