Business Intelligence Analyst developing and delivering Power BI reports and collaborating with data teams at Alberta Blue Cross. Enabling users through training and supporting analytics initiatives.
Responsibilities
Design and Deliver Power BI Solutions - Build end-to-end reporting and dashboard solutions using Power BI.
Collaborate with Data Engineering - Partner with data engineers to understand data pipelines, Lakehouse architectures, and semantic layers.
Enable Business Users - Work directly with business units to understand reporting requirements and provide training and support.
Champion Data Literacy - Develop and deliver training materials that help users understand data concepts and Power BI capabilities.
Implement DevOps Practices - Apply CI/CD principles to reporting solutions including version control and deployment automation.
Optimize Report Performance - Monitor and improve report performance and user experience.
Support AI-Ready Analytics - Collaborate with data and AI teams for reporting layers to support emerging AI applications.
Maintain Quality and Governance - Ensure all reporting solutions adhere to data governance policies.
Drive User Adoption - Track and improve reporting solution adoption through user feedback.
Innovate with Modern Tools - Stay current with Power Platform capabilities and analytics technologies.
Requirements
A related technical degree or diploma in Computer Science, Information Technology, Engineering, or equivalent combination of education and experience.
4+ years of experience in data analytics, business intelligence, Power BI development, or enterprise reporting solutions.
Deep hands-on experience with Microsoft Power BI, including semantic modeling, DAX, Power Query, and enterprise deployment patterns.
Proficiency in programming and scripting languages including Python, SQL, Power Query (M), DAX, and PowerShell.
Experience with Microsoft Fabric components including Lakehouse, Notebooks, Semantic Models, and data pipelines.
Demonstrated experience working with cloud data platforms, particularly Azure and Microsoft Fabric technologies.
Strong understanding of data modeling concepts, star schema design, and dimensional modeling principles.
Experience with DevOps practices including Git version control, Azure DevOps, and CI/CD pipelines for analytics solutions.
Proven ability to translate business requirements into effective reporting solutions and visualizations.
Excellent communication and training skills with ability to explain technical concepts to non-technical business stakeholders.
Experience developing training materials, user documentation, and enablement programs for analytics tools.
Demonstrated ability to work collaboratively with data engineering teams and business units in fast-paced environments.
Experience with AI and automation technologies including Azure OpenAI, Copilot, and Power Platform automation considered an asset.
Microsoft certifications in Power BI, Azure, or Power Platform considered an asset.
Knowledge of data governance, metadata management, and data quality frameworks.
Experience in insurance or healthcare industry is preferred.
Knowledge of Agile methodologies and Lean practices.
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