Sr Business Intelligence Consultant

AI overview

Contribute to the design and maintenance of Power BI data models and lead migrations from SQL Server to Snowflake, ensuring high-quality analytics solutions for clients.

Dura Digital is looking for a Business Intelligence consultant who knows that great analytics starts with strong data models. You care deeply about semantic consistency, performance, and usability;  and you’re passionate about helping organizations deliver effective BI platforms.


As a Senior Business Intelligence Developer and consultant, you’ll play a key role in working with our clients designing and maintaining Power BI data models , supporting the migration of Power BI reports from SQL Server to Snowflake. You’ll work closely with data engineers, analytics partners, and project stakeholders to ensure trusted, scalable, and high-performing analytics solutions.

 

WHAT MOVES YOU

  • You enjoy translating complex project requirements into intuitive, performant BI solutions.
  • You’re analytical, curious, and thoughtful about how data models impact downstream reporting and decision-making.
  • You’re a strong communicator who can explain technical concepts to non-technical audiences.
  • You take pride in clean, well-documented models and reports that others can easily understand and reuse.
  • You enjoy mentoring others and raising the overall maturity of BI practices.
  • You stay calm and focused when navigating ambiguity, change, or platform migrations.


WHAT YOU'LL DO

  • Design, develop, and maintain Power BI data models using best practices for performance, scalability, and usability.
  • Lead and support the migration of Power BI reports and data models from SQL Server to Snowflake.
  • Partner with data engineering teams to align Power BI models with Snowflake data structures and transformation logic.
  • Work with project stakeholders to understand requirements and translate them into clear, actionable reporting solutions.
  • Optimize DAX measures, calculated columns, and model relationships for performance and clarity.
  • Ensure consistency in metrics, dimensions, and definitions across reports and subject areas.
  • Identify opportunities to simplify, standardize, and reduce technical debt in existing Power BI content.
  • Support data validation and reconciliation efforts during platform migrations.
  • Promote BI best practices including version control, documentation, and deployment workflows.
  • Assist in establishing standards for Power BI development, governance, and lifecycle management.
  • Provide production support for critical BI assets, ensuring reliability and trust in reporting.


WHAT YOU'VE DONE

  • You have a university degree in Computer Science, Information Systems, or a related field. or equivalent experience.
  • You bring 5+ years of experience in Business Intelligence, Analytics Engineering, or Data Analytics roles.
  • You have deep hands-on experience with Power BI, including:
    • Data modeling
    • DAX
    • Performance optimization
    • Data design for self-service analytics
  • You have strong SQL skills and experience working with SQL Server.
  • You have experience supporting or leading BI migrations (on-prem to cloud and/or platform-to-platform).
  • You’ve worked with cloud data warehouses, with Snowflake experience strongly preferred.
  • You understand dimensional modeling concepts (e.g., Kimball) and how they apply to BI semantic layers.
  • You’re comfortable collaborating with data engineers and analysts.
  • You have experience working in Agile or iterative delivery environments


SKILLS

  • Business Intelligence & Analytics
    • Power BI (data models, reports, dashboards)
    • DAX optimization and modeling best practices
    • Semantic layer design
  • Data Platforms
    • SQL Server
    • Snowflake / cloud data warehouses
  • Data Modeling
    • Dimensional modeling (Kimball)
    • Metrics standardization
  • Languages & Tools
    • SQL
    • DAX
    • Version control (Git)
  • Practices
    • BI governance and lifecycle management
    • Data quality validation
    • Performance tuning
    • Documentation and knowledge sharing

 

Location: Edmonton, Alberta 

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