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Data Analytics Engineer Jobs in Ontario (NOW HIRING)

Data Engineer III

Toronto, ON ยท On-site

CA$96K - CA$136K/yr

We are hiring a Senior FinOps Data & Automation Engineer to build the data, automation, and analytics foundation for an enterprise FinOps capability. This role will support cost transparency ...

The Director, Data Solutions is a senior leadership role accountable for the data modelling, analytics engineering, and business intelligence capabilities within QuadReal's Enterprise Data ...

Programming skills using analytical tools such as SQL, R, Python, Base SAS, SAS EG, is required. * Proficient in data visualization tools, such as Tableau preferred. Other Prerequisites * Ability to ...

A key part of the role is supporting the reporting and analytics needs of the Canadian business by ... You will stay current on emerging data engineering technologies and best practices, identifying ...

... Analytics team within the IT Solutions line of business has an ambitious mandate, where we are ... Partner closely with data engineers and data scientists to ensure data pipelines and models align ...

Collaborate with Technology, Data Governance, and Engineering teams to enhance data accessibility and analytics capabilities. Drive innovation through advanced analytics, automation, predictive ...

Showing results 41-60

Data Analytics Engineer information

See Ontario salary details

$65.5K

$117.1K

$197.5K

How much do data analytics engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data analytics engineer in Ontario is $117,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $132,000.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

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

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

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

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

Infographic showing various Data Analytics Engineer job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 92% In-person, and 8% Hybrid job distribution, with an average salary of $117,079 per year, or $56.3 per hour.

Director, Digital Data Analytics & Performance

Rogers Communications

Toronto, ON โ€ข On-site

Full-time

Medical, Dental, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Our Technology team wakes up every day with one goal in mind - connecting Canadians to the people and things that matter most. Together, we are proud to support 30 million Canadians each month through managing a robust portfolio that champions leading-edge technology. We drive large-scale, complex, and high-visibility technology projects and programs that shape the future of technology in Canada and expand connectivity from coast to coast. If you are interested in being a part of this, consider applying for the following opportunity:

Who we're looking for:
Reporting to the VP, eCommerce, Digital Experience & Analytics, the Director, Digital Data Analytics & Performance will lead analytics strategy, data products, and performance optimisation for Rogersโ€™ Wireless and Wireline digital commerce business. This leader will drive data-driven decision-making across customer journeys, self-serve experiences, and eCommerce buyflows to improve customer experience, conversion, retention, and revenue growth.

Leading a team of analytics, data science, engineering, and performance professionals, the Director will leverage advanced analytics, AI, machine learning, and customer insights to deliver scalable data products, optimise digital and assisted channels, and enhance business performance. The role is accountable for end-to-end digital buyflow performance and the integration of digital and call analytics to create a unified view of customer interactions and drive measurable business value across the digital commerce ecosystem.

What you'll do:

  • Strategic Leadership:
    • Develop and execute digital analytics, call analytics, and data product strategies aligned with eCommerce and customer growth objectives.
    • Define KPIs, measurement frameworks, and performance benchmarks, driving data-driven decision-making across the organization.
    • Establish a unified measurement approach across digital and assisted channels to optimize acquisition, conversion, retention, and operational efficiency.
  • Team Leadership:
    • Lead and develop a high-performing team of analytics, data science, data engineering, and performance professionals.
    • Foster innovation, accountability, continuous learning, and advancement of AI, machine learning, and analytics capabilities.
  • Data, Analytics & Data Products:
    • Oversee data governance, integration, and analytics across digital, CRM, billing, commerce, customer care, and call centre platforms.
    • Deliver enterprise data products, dashboards, KPI frameworks, and self-service analytics solutions.
    • Leverage advanced analytics, AI, and machine learning to generate actionable insights and optimize digital performance.
  • Digital Commerce & Performance Optimization:
    • Measure and optimize Wireless and Wireline digital buyflows, customer journeys, conversion performance, and channel effectiveness.
    • Identify opportunities to improve digital adoption, reduce abandonment, increase product attachment, and lower cost-to-serve.
    • Partner with Product, Marketing, UX, Technology, Customer Care, and Sales teams to drive data-led improvements.
  • Reporting & Insights:
    • Deliver executive reporting, dashboards, and actionable insights on business performance, customer behaviour, revenue, and channel effectiveness.
    • Translate complex data into strategic recommendations for senior leadership.
  • Stakeholder Management:
    • Collaborate with cross-functional leaders to align analytics priorities and business objectives.
    • Serve as the subject matter expert for digital analytics, customer journey measurement, call analytics, and data products.
  • Innovation & Transformation:
    • Drive innovation through AI, automation, advanced analytics, and scalable data products.
    • Champion the modernization of analytics capabilities to support Rogers' digital commerce and customer experience strategy.

What you bring:

  • Bachelorโ€™s degree in a related field; Masterโ€™s preferred.
  • 10+ years of experience in Digital Analytics, eCommerce Analytics, Data Science, BI, or Customer Journey Analytics.
  • 7+ years of leadership experience managing high-performing analytics, data science, or BI teams.
  • Expertise in digital commerce, customer journeys, conversion optimisation, acquisition, retention, and self-service adoption.
  • Strong experience building data products, KPI frameworks, dashboards, and self-service analytics solutions.
  • Proven success leveraging AI, Machine Learning, Predictive Analytics, and advanced analytics to drive business outcomes.
  • Proficiency with Adobe Analytics, Google Analytics, Tableau, Power BI, SQL, Python, and cloud platforms (AWS, Azure, GCP, Databricks, Snowflake).
  • Experience with data governance, measurement frameworks, and integrating digital, CRM, customer care, and call centre data.
  • Strong communication, stakeholder management, and executive influencing skills.
  • Proven ability to build high-performing teams and translate complex data into actionable insights.
  • Telecommunications, Digital Commerce, or Customer Experience industry experience preferred.


Whatโ€™s in it for you?
We believe in investing in our people and helping them reach their potential as valuable members of our team. As part of our team, youโ€™ll have access to a wide range of incredible resources, growth opportunities, discounts, and perks, including:

  • Competitive salary & annual bonus
  • Competitive & flexible health and dental benefits, pension plan, RRSP, TFSA, and Stock matching programs.
  • Discounts: Enjoy up to 50% off Rogers Services and Blue Jays Tickets, 25% off TSC items, and a 20% discount on all wireless accessories sold in Rogers stores.
  • Paid time off for volunteering
  • Company matching contributions to charities you support
  • Growth & Development Opportunities:
    • My Path: self-driven career development program
    • Rogers First: priority in applying to internal roles of interest
  • Wellness Programs:
    • Homewood employee & family assistance program
    • Cognitive Behavioural Therapy (CBT) & Virtual therapy sessions
    • Low or no-cost fitness membership.
  • Our commitment to the environment and diversity:
    • Work for an organization committed to environmental protection
    • Strong commitment to diversity and inclusion with employee resource groups supporting equity-deserving groups including groups representing People of Colour, 2SLGBTQIA+, Indigenous Peoples, Persons with Disabilities and Women. We all bring something different, and we know what makes us different makes us great.

To protect our people, brand and assets, a pre-employment background check will be conducted. As part of our selection process, all candidates must clear a criminal background check. Additionally, a credit check and drivers abstract may be required depending on the role.

Schedule: Full time
Shift: Day
Length of Contract: Not Applicable (Regular Position)
Work Location: 1 Mount Pleasant (083), Toronto, ON 
Travel Requirements: Up to 10%
Background Check(s) Required: Criminal Record and Credit Check 
Posting Category/Function: Technology & Information Technology
Requisition ID: 333678

To support career growth, collaboration, and high-performing teams, all Corporate Employees are expected to work onsite. We believe that in-person connection strengthens our culture and drives industry-leading performance.

At Rogers, we believe the key to a strong business, is a diverse workforce where equity and inclusion are core to making everyone feel like they belong. We do this by embracing our diversity, celebrating our different perspectives, and working towards creating environments that empower our people to bring their whole selves to work. Everyone who applies for a job will be considered. We recognize the business value in creating a workplace where each team member has the tools to reach their full potential by removing any barriers for equal participation. We work with our candidates who are experiencing a disability throughout the recruitment process to ensure that they have what they need to be at their best. Please reach out to our recruiters and hiring managers to begin a conversation about how we can ensure that you deliver your best work. You matter to us! For any questions, please visit the Recruitment Process FAQ.


Posting Notes:  Technology