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Data Analytics Manager Jobs in Toronto, ON (NOW HIRING)

Linde

IT Manager - Data & Analytics

Mississauga, ON

You will work closely with business stakeholders, analysts, data scientists, and cross-functional ... A strong focus on data security and privacy is essential, ensuring sensitive information is managed ...

Scotiabank

Manager, Analytics

Toronto, ON · On-site

Through strong leadership, analytical expertise, and strategic thinking, the Manager, Analytics transforms data into meaningful business outcomes while fostering a culture of collaboration ...

NorthEastern

Senior Data Analyst

Toronto, ON · On-site

About the Opportunity Job Summary Under the supervision of the Data Quality & Research Administration Analytics Manager and with support of senior level team members, the Senior Data Analyst will ...

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All JobsData Analytics JobsData Analytics Manager JobsData Analytics Manager Jobs in Toronto, ON

Data Analytics Manager information

See Toronto, ON salary details

$43.9K

$110.7K

$169.9K

How much do data analytics manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analytics manager in Toronto, ON is $110,672.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,322.00 and $128,835.00 per year, depending on experience, location, and employer.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What are the key skills and qualifications needed to thrive as a data analytics manager?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What is the difference between Data Analytics Manager vs Data Analyst?

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Toronto, ON?

The most popular types of Data Analytics jobs in Toronto, ON are:

What are popular job titles related to Data Analytics Manager jobs in Toronto, ON?

For Data Analytics Manager jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Data Analytics Manager jobs in Toronto, ON look for?

The top searched job categories for Data Analytics Manager jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Data Analytics Manager jobs?

Cities near Toronto, ON with the most Data Analytics Manager job openings:

Data Analytics Manager jobs near you
Infographic showing various Data Analytics Manager job openings in Toronto, ON as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $110,672 per year, or $53.2 per hour.

IT Manager - Data & Analytics

Linde

Mississauga, ON

Full-time

Re-posted 12 days ago

Linde rating

8.1

Company rating: 8.1 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

34th of 104 rated chemical manufacturers

Job description

  • In this role, you will design, build, and maintain scalable data pipelines using technologies such as Apache Spark and Microsoft Fabric, supporting the processing of large volumes of structured and unstructured data
  • You will integrate data from a variety of internal and external sources, ensuring accuracy, consistency, and reliability throughout the entire data lifecycle
  • A key part of the role is supporting the reporting and analytics needs of the Canadian business by delivering reliable, accessible, and high-quality data solutions
  • You will monitor and optimize ETL/ELT processes, continuously improving performance, scalability, and cost efficiency while identifying and resolving bottlenecks
  • The role includes promoting strong data quality and governance practices, including data cataloging, lineage, compliance, and adherence to organizational standards
  • You will work closely with business stakeholders, analysts, data scientists, and cross-functional IT teams to gather requirements and deliver solutions that support business objectives
  • Maintaining clear and accurate documentation for data pipelines, workflows, architectures, and processes is an important part of ensuring long-term success and sustainability
  • You will stay current on emerging data engineering technologies and best practices, identifying opportunities to enhance the organization's data platform and capabilities
  • Troubleshooting and resolving data pipeline, system, and infrastructure issues will be an ongoing responsibility to ensure a reliable and resilient data environment
  • A strong focus on data security and privacy is essential, ensuring sensitive information is managed in accordance with corporate policies and regulatory requirements

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