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Business Intelligence Engineer Jobs in Ontario (NOW HIRING)

CIRA

Senior Business Intelligence Developer

Ottawa, ON · On-site

Collaborate with developers, quality assurance (QA), product owners and infrastructure teams to deliver reliable business intelligence solutions. What you bring: 7+ years of experience designing and ...

Autodesk

Business Intelligence Analyst

Toronto, ON · On-site

Partner with data engineering or analytics engineering teams on data modeling needs, including dbt ... business intelligence, GTM analytics, operations analytics, revenue operations, sales operations ...

Block

Business Intelligence Analyst

Toronto, ON · On-site +1

Work independently or partner with data engineering to design, build, validate, troubleshoot, and ... Define business requirements and test plans for system changes, validate new processes and ...

CIBC US

Consultant Business Intelligence

Toronto, ON · Hybrid

Business Intelligence - Identifyinsights and make recommendations based on data analysis to enhance ... Skilled in programming languages such as SQL,PySpark, and Python, with hands-on experience using ...

CIBC

Consultant Business Intelligence

Toronto, ON · Hybrid

Business Intelligence - Identifyinsights and make recommendations based on data analysis to enhance ... Skilled in programming languages such as SQL,PySpark, and Python, with hands-on experience using ...

BIG TEX TRAILER MANUFACTURING LLC

Business Intelligence Architect Job Overview The Business Intelligence Architect owns the data ... Education - Experience Required * 3+ years of experience in data engineering, data architecture, or ...

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$68K

$115.4K

$156K

How much do business intelligence engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for business intelligence engineer in Ontario 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 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 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.

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 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 much does a business intelligence engineer make?

The average salary for a business intelligence engineer in the United States ranges from $80,000 to $130,000 per year, depending on experience, location, and industry. Professionals with skills in data analysis, SQL, and tools like Tableau or Power BI tend to earn higher salaries, especially with advanced certifications or experience in large organizations.

What do business intelligence engineers do?

Business intelligence engineers analyze data to help organizations make informed decisions by designing and maintaining data pipelines, dashboards, and reports. They often use tools like SQL, data visualization software, and programming languages such as Python or R to extract, process, and interpret large datasets.
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Business Intelligence Engineer jobs near you
Infographic showing various Business Intelligence Engineer job openings in Ontario as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $115,359 per year, or $55.5 per hour.

Senior Business Intelligence Engineer

Alquemy

Toronto, ON • Hybrid

Full-time

Re-posted yesterday

Job description

Job Description Business Intelligence Engineer GTA hybrid contract opportunity for a hands-on Power BI professional to design, optimize and support enterprise BI solutions. You'll be responsible for: Building Power BI reports, datasets and semantic models Developing advanced DAX and complex business calculations Troubleshooting and improving report, model and refresh performance Creating reusable BI solutions and supporting production issues Partnering with business stakeholders from requirements through delivery Helping advance modern, AI-enabled analytics capabilities Key experience: Advanced Power BI, DAX and semantic modeling Strong debugging and performance optimization Git/CI/CD experience Microsoft Fabric or AI-enabled BI exposure is an asset Apply today!

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