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Analytics Engineer Jobs in Ontario (NOW HIRING)

Alquemy

Analytics Engineer

Toronto, ON · Hybrid

Analytics Engineer Contract and Fulltime Opportunity Toronto | Hybrid We are looking for an Analytics Engineer to join a growing data team in Toronto. This is a hands-on role focused on building and ...

Canadiantirecorporation

Analytics Engineer

Toronto, ON · On-site

CA$53K - CA$88K/yr

Analytics Engineer: We are seeking a motivated Analytics Engineer to join the CTC Triangle Program - Loyalty Data Product Engineering team, reporting to the Engineering Manager. This team leverages a ...

Generac

Staff Analytics Engineer

Toronto, ON · On-site +1

Analytics engineering is a core and growing investment, and this role sits at the center of that work. The Staff Analytics Engineer is a deeply technical individual contributor who owns the ...

Arcadis

Senior Analytics Engineer

Toronto, ON · On-site

We are looking for a Senior Analytics Engineer to join our digital transportation portfolio, supporting two flagship products: * TravelIQ provides real-time traveller information and traffic event ...

Arcadis

Senior Analytics Engineer

Toronto, ON · On-site

We are looking for a Senior Analytics Engineer to join our digital transportation portfolio, supporting two flagship products: TravelIQ provides real-time traveller information and traffic event ...

Passage

Staff Analytics Engineer

Toronto, ON · On-site

The role We are looking for a Staff Analytics Engineer to lead the development of Passage's analytics foundation and decision infrastructure. This role sits at the intersection of engineering ...

Avison Young Canada

Senior Analytics Engineer

Toronto, ON · On-site

CA$100K - CA$105K/yr

This role focuses on analytics engineering and data modeling , not traditional pipeline-heavy data engineering. We are looking for someone who understands the why behind the data, not just the how

Avison Young Canada

Senior Analytics Engineer

Toronto, ON · On-site

CA$100K - CA$105K/yr

This role focuses on analytics engineering and data modeling , not traditional pipeline-heavy data engineering. We are looking for someone who understands the why behind the data, not just the how

Prophix

Data & Analytics Engineer

Etobicoke, ON · On-site

You work directly with the Director of Revenue Operations & Analytics and alongside Analytics Engineers, and senior business stakeholders, and you can make sense to all of them. If you know Snowflake ...

Passage

Senior Analytics Engineer

Toronto, ON · On-site

CA$100K - CA$150K/yr

Executive KPIs, conversion funnels, cohort analytics, and marketing attribution across Google Ads ... Enjoy ambiguous business-logic modeling: reverse-engineering a production schema, interviewing ...

Sangoma

Analytics Engineer, Enterprise Data

Toronto, ON · Remote

Analytics Engineer, Enterprise Data See It. Build It. Own it. Sangoma is a global leader in business communications, delivering cloud-based solutions that help organizations connect, collaborate, and ...

Avison Young Canada

Lead, Analytics Engineering

Toronto, ON · On-site

CA$130K - CA$160K/yr

As Lead, Analytics Engineering at Avison Young Technologies, you will lead the strategy and execution of our proprietary data products and models that empower commercial real estate decision makers ...

Avison Young Canada

Lead, Analytics Engineering

Toronto, ON · On-site

CA$130K - CA$160K/yr

Overview As Lead, Analytics Engineering at Avison Young Technologies, you will lead the strategy and execution of our proprietary data products and models that empower commercial real estate decision ...

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All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in Ontario

Analytics Engineer information

See Ontario salary details

$62.5K

$109.1K

$178K

How much do analytics engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for analytics engineer in Ontario is $109,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $122,500.00 per year, depending on experience, location, and employer.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What are the key skills and qualifications needed to thrive as an analytics engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

Do analytics engineers make good money?

Analytics engineers typically earn competitive salaries that vary by experience, location, and industry. They often have skills in SQL, data modeling, and tools like Python or Spark, which can contribute to higher compensation. Overall, the role is considered well-paying within the data and analytics field.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for business insights.

What are the most commonly searched types of Analytics Engineer jobs in Ontario?

The most popular types of Analytics Engineer jobs in Ontario are:

What are popular job titles related to Analytics Engineer jobs in Ontario?

For Analytics Engineer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Analytics Engineer jobs in Ontario look for?

The top searched job categories for Analytics Engineer jobs in Ontario are:

Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $109,135 per year, or $52.5 per hour.

Analytics Engineer

Alquemy

Toronto, ON • Hybrid

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

Job Description Analytics Engineer Contract and Fulltime Opportunity Toronto | Hybrid We are looking for an Analytics Engineer to join a growing data team in Toronto. This is a hands-on role focused on building and maintaining reliable data transformation pipelines, scalable data models, and trusted data assets that support analytics, reporting, and data science. What you'll be doing: Develop and optimize data transformation pipelines using dbt Build and maintain scalable data models Write advanced SQL for analytics and transformation use cases Implement data quality checks, testing, and validation Troubleshoot pipeline failures, performance issues, and data discrepancies Partner with analytics, engineering, product, and business teams Maintain documentation around data models, lineage, schemas, and transformation logic Follow engineering best practices including version control, testing, and code review What we're looking for: 3+ years of experience in Analytics Engineering, Data Engineering, BI Engineering, or a related data role Strong SQL skills Hands-on experience with data modelling Experience with dbt or a similar transformation framework Strong understanding of data warehousing and modern analytics workflows Experience with Git / version control Strong troubleshooting and data quality skills Excellent attention to detail and communication skills Nice to have: Snowflake or another cloud data warehouse Airflow AI-assisted development tools such as Cursor or AI agents This role is best suited to someone who is technically strong, detail-oriented, and comfortable asking questions, challenging assumptions, and working closely with both technical and business stakeholders.

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