Data Analyst (Microsoft Fabric)

TL;DR

Data Analyst (Microsoft Fabric): Managing and transforming complex datasets to provide actionable insights for the hirify.global Sauder School of Business with an accent on data preparation, pipeline development, and visualization. Focus on building robust semantic models, enabling self-service analytics, and leveraging AI-enabled tools within the Microsoft Fabric ecosystem.

Location: Must be based in Vancouver, BC, Canada

Compensation: $5,964.75 - $8,573.08 CAD Monthly

Компания

hirify.global Sauder School of Business is a world-leading business faculty recognized for excellence in research, innovation, and global partnerships.

Что делать

• Partner with stakeholders to translate business needs into analytical datasets and dashboards.
• Source, clean, and transform data from multiple systems using SQL and Microsoft Fabric.
• Build and maintain curated, analytics-ready datasets within Lakehouse and Warehouse environments.
• Design and develop interactive Power BI dashboards to communicate key metrics and trends.
• Enable self-service analytics by creating reusable semantic models and providing user training.
• Ensure data quality, consistency, and adherence to institutional governance standards.

Требования

• Undergraduate degree in a relevant discipline required.
• Minimum of two years of related experience in data management or analytics.
• Strong proficiency in Python and SQL for data querying and transformation.
• Advanced skills in Power BI, DAX, and semantic modeling.
• Experience with Microsoft Fabric or similar cloud-based analytics platforms.
• Commitment to equity, diversity, and inclusion in the workplace.

Хорошо, если есть

• Experience with enterprise systems like Workday or Salesforce.
• Familiarity with Medallion architecture and Delta tables.
• Knowledge of AI-enabled analytics tools such as Microsoft Fabric Copilot.
• Experience working in a Higher Education environment.

Культура и преимущества

• Opportunity to work at a world-class academic institution.
• Collaborative and respectful team culture focused on innovation.
• Commitment to professional development and evidence-based decision-making.
• Supportive environment that values diversity and inclusion.