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Business Intelligence Developer Jobs in Alberta (NOW HIRING)

Stream Systems Ltd.

Systems Developer

Calgary, AB · Hybrid

Systems Developer Company Overview Stream Systems (www.streamsystems.ca) is a leading-edge ... Our SimOpti intelligence platform brings AI, machine learning and simulation to power business ...

HollisWealth

Senior BI Developer

Edmonton, AB · On-site

We are seeking a mid-senior to senior-level BI Developer who will play a pivotal role in scaling up our business intelligence operations. This role is meant as a bridge between business and IT, with ...

HollisWealth

Senior BI Developer

Calgary, AB · On-site

We are seeking a mid-senior to senior-level BI Developer who will play a pivotal role in scaling up our business intelligence operations. This role is meant as a bridge between business and IT, with ...

Targeted Talent

Junior Data Engineer

Edmonton, AB

  • Medical

  • Dental

  • PTO

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 ...

Targeted Talent

Junior Data Engineer

Calgary, AB

  • Medical

  • Dental

  • PTO

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 ...

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Business Intelligence Developer information

What is a business intelligence developer?

Business Intelligence Developers are IT professionals who design, develop, and maintain BI solutions that help organizations make data-driven decisions. They create and manage data models, dashboards, and reports using BI tools, and often work with databases to extract, transform, and load data. Their work enables businesses to analyze trends, monitor performance, and gain actionable insights from large volumes of data. BI Developers collaborate closely with business stakeholders and data analysts to ensure the solutions meet organizational needs.

What are the key skills and qualifications needed to thrive as a business intelligence developer?

To thrive as a Business Intelligence Developer, you need strong analytical skills, proficiency in data modeling, and experience with databases, often supported by a degree in computer science, information systems, or a related field. Expertise in BI tools such as Power BI, Tableau, or SQL Server Reporting Services (SSRS), along with knowledge of SQL and ETL processes, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are crucial for transforming complex data into actionable insights that drive strategic business decisions.

What are some common challenges faced by business intelligence developers when working with large datasets, and how can they be addressed?

Business Intelligence Developers often encounter difficulties when handling large and complex datasets, such as slow query performance, data integration issues, and ensuring data accuracy. To address these challenges, developers typically optimize SQL queries, leverage indexing, and use efficient data modeling techniques. Collaborating closely with data engineers and database administrators can help streamline data pipelines and maintain data quality. Staying updated with the latest BI tools and technologies is also essential for improving overall performance and scalability.

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

AspectBusiness Intelligence DeveloperData Analyst
CredentialsBachelor's in CS, IT, or related field; certifications like Microsoft Certified: Data Analyst AssociateBachelor's in Statistics, Math, or related field; certifications like Microsoft Certified: Data Analyst Associate
Work EnvironmentDevelops BI tools, dashboards, and reports; collaborates with IT and business teamsAnalyzes data sets, creates reports, and provides insights; works closely with business units
Industry UsageUsed across industries for data visualization and reportingUsed across industries for data analysis and decision support

While both roles focus on data, Business Intelligence Developers primarily build and maintain BI tools and dashboards, whereas Data Analysts focus on analyzing data sets to generate insights. Both roles often collaborate and require similar skills and certifications, making them closely related in the data industry.

More about Business Intelligence Developer jobs

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Business Intelligence Developer jobs near you
Infographic showing various Business Intelligence Developer job openings in Alberta as of August 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Sr Business Intelligence Consultant

Dura Digital

Edmonton, AB • On-site

Contractor

Re-posted 23 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

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