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Business Intelligence Engineer Jobs in Alberta (NOW HIRING)

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position ... Experience working with Business Intelligence and Data Warehousing * Experience working with data ...

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position ... Experience working with Business Intelligence and Data Warehousing * Experience working with data ...

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position ... Experience working with Business Intelligence and Data Warehousing * Experience working with data ...

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position ... Experience working with Business Intelligence and Data Warehousing * Experience working with data ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... Experience working with Business Intelligence and Data Warehousing * Experience working with data ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... Experience working with Business Intelligence and Data Warehousing * Experience working with data ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... Experience working with Business Intelligence and Data Warehousing * Experience working with data ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... Experience working with Business Intelligence and Data Warehousing * Experience working with data ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... Experience working with Business Intelligence and Data Warehousing * Experience working with data ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... Experience working with Business Intelligence and Data Warehousing * Experience working with data ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... Experience working with Business Intelligence and Data Warehousing * Experience working with data ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... Experience working with Business Intelligence and Data Warehousing * Experience working with data ...

We provide business intelligence, data assets, data products, business metrics and data Engineering that drive and enable BI and analytics to support over 15,000 employees across diverse internal ...

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Business Intelligence Engineer information

See Alberta salary details

$68K

$115.4K

$156K

How much do business intelligence engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for business intelligence engineer in Alberta is $115,359.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $130,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a business intelligence engineer, and why are they important?

To thrive as a Business Intelligence Engineer, you need strong analytical skills, expertise in data modeling, and a background in computer science or a related field. Proficiency with BI tools like Tableau, Power BI, SQL, and data warehousing systems, as well as certifications in these platforms, are highly valuable. Excellent problem-solving abilities, effective communication, and attention to detail help you translate complex data into actionable business insights. These skills ensure accurate data analysis and reporting, empowering organizations to make data-driven decisions.

What is a business intelligence engineer?

Business Intelligence Engineers are professionals who design, develop, and maintain systems and processes that help organizations collect, analyze, and interpret data. They create dashboards, reports, and data models that enable business leaders to make informed decisions. Their work typically involves data warehousing, ETL (extract, transform, load) processes, and the use of tools such as SQL, Power BI, or Tableau. BI Engineers bridge the gap between raw data and actionable business insights, playing a crucial role in data-driven organizations.

What is the difference between Business Intelligence Engineer vs Data Analyst?

AspectBusiness Intelligence EngineerData Analyst
CredentialsBachelor's in CS, IT, or related field; SQL, BI toolsBachelor's in Statistics, Math, or related field; SQL, Excel
Work EnvironmentDevelops data pipelines, dashboards, reports; collaborates with IT and business teamsAnalyzes data, creates reports, visualizations; works closely with business units
Industry UsageUsed across tech, finance, healthcare for data infrastructureCommon in marketing, finance, retail for insights and reporting

Business Intelligence Engineers focus on building data infrastructure, pipelines, and dashboards to enable data-driven decisions. Data Analysts interpret data, generate reports, and provide insights. Both roles require SQL and data visualization skills but differ in scope and responsibilities.

How does a business intelligence engineer typically collaborate with data analysts and business stakeholders?

Business Intelligence Engineers work closely with data analysts to design and optimize data models, build robust data pipelines, and ensure accurate reporting. They also engage with business stakeholders to understand their data needs, translate requirements into technical solutions, and provide actionable insights that support decision-making. Regular collaboration involves meetings to review project progress, clarify business objectives, and adjust deliverables based on feedback, fostering a dynamic and cross-functional team environment.
What are popular job titles related to Business Intelligence Engineer jobs in Alberta? For Business Intelligence Engineer jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Business Intelligence Engineer jobs in Alberta look for? The top searched job categories for Business Intelligence Engineer jobs in Alberta are:
Infographic showing various Business Intelligence Engineer job openings in Alberta as of August 2026, with employment types broken down into 100% Full Time. Highlights an 57% In-person, 7% Hybrid, and 36% Remote job distribution, with an average salary of $115,359 per year, or $55.5 per hour.

Sr Business Intelligence Consultant

Dura Digital

Edmonton, AB

Contractor

Re-posted 12 days ago


Job description

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