Design, develop, and deploy BI solutions, including data pipelines, models, and reports.
Manage the full report lifecycle, from data ingestion to publication, documentation, and training.
Implement robust data models using Power BI, focusing on scalability, accuracy, and performance.
Reverse engineer processes and logic to document and improve existing reporting workflows.
Create and maintain a comprehensive data dictionary and catalog for the organization’s data estate.
Partner with stakeholders across all business areas to understand requirements and identify Minimum Viable Products (MVPs) for rapid development.
Translate business needs into actionable KPIs, metrics, and visualizations that drive decision-making.
Provide training and support to business users to promote self-service analytics.
Leverage Microsoft Fabric features to optimize data pipelines and reporting infrastructure.
Utilize the Microsoft Technology Stack (365, SharePoint, Teams, etc.) to streamline collaboration and workflows.
Work within Agile development practices, including sprint planning, task tracking, and collaboration using tools like Jira.
Lead efforts to track, standardize, and improve organizational metrics/KPI reporting.
Implement best practices for BI development, including version control, governance, and documentation.
Proactively identify and address gaps in data quality, reporting processes, or infrastructure scalability.
Stay abreast of the latest trends, technologies, and best practices in data and BI.
Requirements
Bachelor’s degree in Computer Science, Software Development, or related field.
Minimum of 5-7 years of experience in data modeling and report development.
Relevant certifications and/or advanced degrees a plus
Extensive experience with Power BI, including data modeling, DAX, report creation, and publishing.
Expertise in designing and implementing data and BI solutions, including data pipelines, data warehouses, and dashboards.
Experience with Microsoft Fabric and other tools in the Microsoft Stack (e.g., SharePoint, Teams, Power Automate, Azure Data Factory, Power Query, etc).
Strong understanding of data ethics, governance, and quality standards.