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

Molson Coors

Advanced Analytics Manager

Toronto, ON · Hybrid

This role also plays a key part in analytics by extracting and translating data into meaningful ... This position reports to the Manager Sales Analytics and works closely with Brand teams, Sales ...

Leinenkugel's

Advanced Analytics Manager

Toronto, ON · Hybrid

This role also plays a key part in analytics by extracting and translating data into meaningful ... This position reports to the Manager Sales Analytics and works closely with Brand teams, Sales ...

Subway

Manager, Marketing Data Analytics

Toronto, ON

CA$90K - CA$113K/yr

The Manager of Marketing Analytics role will leverage data and analytics to drive the transformation of one of the largest QSR brands in the world. Reporting into the Canadian Analytics team, our ...

Meridian Credit Union

Digital Analytics Manager

Toronto, ON · Hybrid

CA$68K - CA$103K/yr

Analyze tracking data to evaluate the performance of marketing campaigns, website/app changes, and ... Management * Apply an understanding of strategic business levers, P&L drivers, and value creation ...

Prophix

Data & Analytics Engineer

Etobicoke, ON · On-site

... managing spreadsheets and start driving strategy. Prophix One™ brings planning, reporting ... Data Engineer) or AWS certifications (Solutions Architect, Data Analytics Specialty)Experience in a ...

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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 Jul 28, 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.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain expertise. Therefore, while AI may augment certain responsibilities, it is unlikely to fully replace data analysts in the near future, and skills in data storytelling and critical thinking remain essential.

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 does a data analyst manager do?

A data analyst manager oversees a team of data analysts, guiding data collection, analysis, and reporting to support business decision-making. They develop strategies, ensure data accuracy, and often use tools like SQL, Excel, or data visualization software to interpret complex data sets. Strong leadership, communication skills, and knowledge of analytics tools are essential for this role.

How much do data analytics managers make?

Data analytics managers in the US typically earn a median salary of around $100,000 to $130,000 annually, with experienced professionals and those in high-demand industries earning higher. Salaries can vary based on location, education, certifications, and company size, and many roles require proficiency in tools like SQL, Python, or Tableau.

What are the key skills and qualifications needed to thrive as a Data Analytics Manager, and why are they important?

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.

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 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.

Is a data analyst a high salary?

Data analysts typically earn moderate to high salaries depending on experience, industry, and location. While entry-level positions may have lower pay, experienced data analysts with skills in SQL, Excel, and data visualization tools can command higher salaries, especially in competitive markets.
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 July 2026, with employment types broken down into 100% Full Time. Highlights an 64% In-person, 11% Hybrid, and 25% Remote job distribution, with an average salary of $110,672 per year, or $53.2 per hour.

Manager, Risk Data Analytics

BMO Capital Markets

Toronto, ON

CA$82K - CA$154K/yr

Full-time

Medical, Life, Retirement

Posted 10 days ago

Job description

Application Deadline:

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

The Manager, Data Analytics is responsible for leading the development and delivery of advanced analytics, data quality, and reporting solutions to support risk management and regulatory requirements. The role leverages large-scale data, advanced analytics, and emerging technologies to generate actionable insights, improve data quality, and enable consistent, data-driven decision-making across the organization.

The incumbent will manage a team of analytics professionals, deliver scalable analytics solutions, and ensure alignment with enterprise data governance standards and regulatory expectations.

Translate business requirements into technical analytics solutions and scalable data processes.

  • Deliver insights and recommendations to support risk monitoring, portfolio analysis, and business strategy.
Data Quality & Governance Lead data quality initiatives including rule definition, monitoring, issue identification, and remediation.
  • Ensure adherence to enterprise data governance frameworks and support regulatory requirements (e.g., model monitoring, reporting accuracy).
  • Work closely with data providers and stakeholders to resolve data issues and improve data integrity.
Business & Stakeholder Engagement
  • Partner with business, product, and risk teams to support data-driven decision-making and planning.
  • Communicate complex analytical findings clearly to senior stakeholders through reporting and visualization.
  • Provide consulting support on analytics, reporting, and data quality challenges.
Team Leadership & Development
  • Lead and coach a team of data analysts and data scientists to deliver high-quality outcomes.
  • Set clear objectives, monitor performance, and support career development.
  • Foster a collaborative, high-performance culture aligned with BMO values and inclusion principles.
Innovation & Continuous Improvement
  • Identify opportunities to enhance analytics capabilities, automation, and efficiency.
  • Evaluate and adopt new tools, technologies, and methodologies to improve analytics and data processing.
  • Drive the transition from ad hoc analysis to scalable, production-ready analytics solutions.
QualificationsEducation & Experience
  • Typically 5-7+ years of experience in data analytics, data science, or risk analytics.
  • Experience in financial services, risk analytics, or regulatory reporting is highly preferred.
  • Post-secondary degree in a quantitative discipline (e.g., Statistics, Mathematics, Computer Science).
Technical SkillsCore Skills
  • Strong analytical and problem-solving capabilities
  • Data-driven decision making and business insight generation
  • Data visualization (e.g., Power BI)
  • Programming (e.g., Python, SQL)
  • SAS only nice to have for legacy purposes not mandatory
  • Data wrangling, preprocessing, and ETL processes
Advanced / Preferred
  • Big data technologies and scalable data platforms
  • AI driven skills and predictive analytics (nice to have)
  • Data quality methodology and governance frameworks
  • Experience with risk data and model monitoring platforms
Leadership & Competencies
  • Strong communication and stakeholder management skills
  • Ability to influence decisions using data and insights
  • Proven experience managing and developing teams
  • Ability to operate independently and manage complex, non-routine work
Scope & Impact
  • Primary focus on business/group-level analytics delivery, with potential enterprise-wide impact.
  • Provides specialized technical and analytical support to drive business and regulatory outcomes.

Salary:

$82,800.00 - $154,800.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other's differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO 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 service to submit resumes.

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