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Steel ReefPosted 1 month ago

Data Solutions Analyst, Business Enablement

HybridCalgary, Alberta, Canada

Full TimeSmall

Job Summary

Design, build, and maintain scalable data pipelines, transformations, and reusable data assets using Microsoft Fabric and Python notebooks to support analytics and reporting needs. Implement medallion architecture to improve data quality and structure while developing solution components, integrations, and automation scripts. Partner with business stakeholders and the Business Enablement team to translate requirements into practical data designs, ensuring solutions align with operational efficiency and decision-making goals. Contribute to standards, templates, and development practices, including version control, peer review, and testing, while staying current with evolving Microsoft Fabric capabilities and AI roadmaps.

Required Qualifications

  • Post-secondary education in computer science, information systems, engineering, data analytics, or a related discipline
  • Experience in data development, analytics engineering, or a similar technical role
  • Hands-on experience with Microsoft Fabric (or similar platforms)
  • Development using Python notebooks
  • SQL
  • Data transformation techniques
  • Experience with PySpark / Spark
  • Power BI (semantic models/reporting)
  • Git-based development practices
  • Experience integrating enterprise systems (APIs, file-based ingestion) into analytics platforms
  • Experience building and supporting data pipelines, integrations, and curated datasets
  • Working knowledge of medallion architecture, data modeling, and analytics structures
  • Understanding of data quality, validation, governance, security, and best practices across cloud data platforms
  • Exposure to CI/CD, APIs, and DevOps workflows
  • Strong analytical, problem-solving, and communication skills
  • Ability to collaborate with stakeholders and translate business requirements into practical data solutions
  • Background screening

Desired Qualifications

  • Stay current with evolving Microsoft Fabric capabilities, AI roadmaps, and data engineering best practices

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