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Entry Level Bi Analyst Jobs in Toronto, ON (NOW HIRING)

Entry Level Bi Analyst information

See Toronto, ON salary details

$20.5K

$69K

$136K

How much do entry level bi analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for entry level bi analyst in Toronto, ON is $69,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,127.00 and $95,434.00 per year, depending on experience, location, and employer.

What does an entry level BI analyst do?

An Entry Level BI (Business Intelligence) Analyst is responsible for collecting, analyzing, and interpreting data to help businesses make informed decisions. They typically work with data visualization tools, databases, and spreadsheets to generate reports and identify trends or patterns. Their role often includes supporting senior analysts, maintaining data quality, and learning to use BI software. Entry-level BI Analysts play a crucial role in transforming raw data into actionable insights for the organization.

What are the key skills and qualifications needed to thrive as an entry level BI analyst?

To thrive as an Entry Level BI Analyst, you need a solid understanding of data analysis, statistics, and business concepts, typically supported by a bachelor’s degree in a relevant field such as computer science, information systems, or business. Familiarity with BI tools like Power BI, Tableau, or SQL databases is commonly required, and knowledge of Excel and data visualization is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills will help you interpret and present data insights clearly to stakeholders. These skills ensure accurate data-driven decision-making and support organizational goals through actionable business intelligence.

What are some common challenges faced by entry level BI analysts when transitioning from academic projects to real-world business intelligence tasks?

Entry level BI Analysts often find that real-world business intelligence tasks involve working with larger, messier data sets and more complex business requirements than academic projects. They may encounter challenges such as integrating data from multiple sources, ensuring data quality, and translating business needs into actionable insights for non-technical stakeholders. Collaboration with cross-functional teams, adapting to company-specific BI tools, and managing tight deadlines are also common hurdles. However, these challenges offer valuable learning opportunities and help analysts quickly build practical, in-demand skills.

What is the difference between Entry Level Bi Analyst vs Data Analyst?

AspectEntry Level Bi AnalystData Analyst
Required CredentialsBachelor's in Business, IT, or related field; basic knowledge of BI toolsBachelor's in Statistics, Math, or related; proficiency in data analysis tools
Work EnvironmentBusiness intelligence teams, corporate settingsData teams, research departments, corporate or tech environments
Employer & Industry UsageFinance, retail, healthcare, tech companiesFinance, marketing, healthcare, tech sectors
Common Search & ComparisonYesYes

The Entry Level BI Analyst focuses on analyzing business data using BI tools to support decision-making, often working closely with business teams. Data Analysts have a broader scope, analyzing data sets to identify trends and insights across various industries. While both roles require similar educational backgrounds, BI Analysts typically emphasize business intelligence tools, whereas Data Analysts focus more on statistical analysis and data visualization.

What are the most commonly searched types of Bi Analyst jobs in Toronto, ON?

The most popular types of Bi Analyst jobs in Toronto, ON are:

What are popular job titles related to Entry Level Bi Analyst jobs in Toronto, ON?

For Entry Level Bi Analyst jobs in Toronto, ON, the most frequently searched job titles are:

Infographic showing various Entry Level Bi Analyst job openings in Toronto, ON as of August 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $69,018 per year, or $33.2 per hour.

Data Documentation & Quality, Fall 2026 - Toronto (Co-op/Internship) - 4 Months

Quadreal

Toronto, ON

Full-time

Posted 3 days ago

New


Job description

About QuadReal Property Group

QuadReal Property Group is a global real estate investment, development and operating company headquartered in Vancouver, British Columbia. Its assets under management are $98.5 billion. From its foundation in Canada as a full-service real estate operating company, QuadReal has expanded its capabilities globally for investments in equity and debt in both the public and private markets. QuadReal invests directly through operating platforms in which it holds an ownership interest and via programmatic partnerships.

QuadReal seeks to deliver strong investment returns while creating sustainable environments that bring value to the people and communities it serves. Now and for generations to come.

QuadReal: Excellence lives here.

www.quadreal.com

We are committed to providing our Co-ops/Interns with a student experience that provides a supportive and engaging learning environment while developing skills and business acumen. Students will have the opportunity to participate in a variety of experiences including our Corporate Speaker Series, Fireside Chats, Volunteer opportunities and Networking events.

Eligibility Note: To qualify for a student (Co-op/Internship) opportunity, students must be enrolled in their academic studies at a post-secondary institution (university/college) and must be returning to school after completion of their work term with QuadReal. If you are a student registered in an official co-op program at your post-secondary institution and completion of a final work term is a mandatory component for you to graduate, you are eligible to apply with the understanding that you will leave QuadReal at the end of your work term or have the possibility to be considered for full-time opportunities.

Based in Toronto, the Co-op/Intern, Data Documentation & Quality will report to the Senior Analytical Engineer and support our growing Enterprise Data & Analytics (ED&A) team at QuadReal. This is an entry-level, supervised role: the successful candidate will work from defined specifications and assigned tickets to build automated data quality tests, complete model documentation, and develop straightforward transformation models, using Microsoft Fabric, SQL, dbt, Apache Airflow, and Azure DevOps. All work is reviewed by a senior engineer before it reaches production.

What We Offer:

  • An organization and leaders that support your development through meaningful work experience

  • A Student Mentorship Program designed to provide support throughout your experience

  • Opportunities to build your industry knowledge through weekly Speaker Series & Fireside Chats

  • Opportunities to participate in case competitions within QuadReal during your work term, fostering cross-functional collaboration with intern peers and enhancing exposure to real-world problem-solving.

  • Giving back to the community with your peers and team members through volunteering events

  • Opportunities to build long-lasting industry and professional relationships

What You Will Experience:

  • Work alongside the Data Solutions team, taking direction from a dedicated senior engineer on a defined set of assigned tasks.

  • Build automated data quality tests in dbt, uniqueness, referential integrity, accepted values, and source freshness, against specifications provided by the engineering team.

  • Investigate test and pipeline failures, document your findings, and escalate root-cause analysis to your supervising engineer.

  • Author model and column documentation for our data models, and help keep our auto-generated documentation site and data catalogue current as models change.

  • Develop straightforward transformation models from written specifications, and make scoped modifications to existing models under senior direction.

  • Contribute to our internal engineering handbook, improving the standards and onboarding material the team relies on.

  • Learn modern data stack tooling hands-on; dbt, SQL, Microsoft Fabric, Apache Airflow, and Azure DevOps, inside a real production environment with code review and CI/CD.

What You Will Bring:

  • Currently enrolled in an academic program preferably in Data Analytics, Engineering, Business, Science, Technology, or Mathematics.

  • You write SQL confidently and independently; joins, aggregations, and window functions are familiar ground rather than something you would need to look up.

  • Comfortable using Python for data work, and able to navigate and interpret a Power BI report.

  • Strong quantitative and analytical skills; detail-oriented and at ease building and handling complex data sets.

  • Familiar with Git fundamentals; branching, commits, and pull requests, and ready to work in a code-review culture.

  • Clear and precise written communication; documentation is a meaningful part of this role.

  • Exposure to dbt or a similar templated SQL transformation framework, and familiarity with cloud platforms (Azure/AWS/GCP) and CI/CD, are considered assets.

  • The ability to problem-solve and ask good questions while working in a fast-paced environment.

This job posting is for a newly created role within our organization.

The expected hourly range for this role is $23-25.

#LI-DNP

The actual salary offered will take into consideration a wide array of factors including, but not limited to, the individual's skill, experience, education and training, the market compensation of the role, and the consideration to internal equity.


We value diverse experiences and perspectives. Even if your skills don't align 100% with the listed qualifications or salary range, we encourage you to apply - you may be a great fit for this role or others in our community. Applicants may also be considered for alternative positions within the organization where their qualifications and experience align more closely with available opportunities.


We use artificial intelligence (AI) technology - alongside human review - to assist in screening and assessing applicants for this position. Our recruitment team remains involved in all decisions.


Candidates must be legally authorized to work in Canada as the company does not provide work permit sponsorship for this role.


Note to Recruiters: QuadReal does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to QuadReal, directly or indirectly, will be considered QuadReal property. QuadReal will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for engaged services to submit resumes.


QuadReal Property Group will provide reasonable accommodation at any time throughout the hiring process for applicants with disabilities or for those needing job postings in an alternate format. If you require accommodation, please advise the Talent Acquisition team member you are working with and include the following: Job posting #, your name and your preferred method of contact.