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Analytics Manager Jobs in Toronto, ON (NOW HIRING)

Act as a dedicated analytical partner to marketing managers (e.g., Brand, Product Marketing, Growth). Provide the data and insights needed to refine strategies, set realistic goals, and execute ...

Deliver clear, persuasive, and executive-ready analytics insights to senior management, shaping strategic decisions across products, operations, and customer experience. * Synthesize complex analyses ...

As the Senior Manager, Analytics , you will lead the delivery of business intelligence and analytics that help shape strategic decisions across Sephora Canada. Leveraging data, market intelligence ...

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Analytics Manager information

See Toronto, ON salary details

$47.2K

$102.9K

$152.2K

How much do analytics manager jobs pay per year?

As of Aug 18, 2026, the average yearly pay for analytics manager in Toronto, ON is $102,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,981.00 and $119,292.00 per year, depending on experience, location, and employer.

What is an analytics manager?

An analytics manager translates raw data into insights that a business can use. Usually leading a team of analysts, your job duties include developing data analysis strategies, tracking and reporting on performance, implementing tools and solutions, and overseeing all analytics operations. You must stay up-to-date on current industry trends. Strong communication and analytical skills are required. Other qualifications include a bachelor’s degree in statistics, data management, or information technology and proven career experience in market research, statistical modelings, or project management.

How does an analytics manager typically collaborate with cross-functional teams to drive business insights?

Analytics Managers frequently work alongside teams such as marketing, product development, finance, and operations to translate data into actionable business strategies. They facilitate meetings to understand stakeholder goals, guide data collection efforts, and present findings in a way that's accessible to non-technical audiences. This cross-functional collaboration ensures that insights are aligned with business objectives and that projects are implemented effectively. Strong communication and project management skills are essential for success in this collaborative environment.

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

To thrive as an Analytics Manager, you need strong analytical skills, data interpretation expertise, leadership experience, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with analytics platforms (such as Tableau, Power BI), programming languages (like SQL, Python, or R), and data management systems is essential, along with relevant certifications such as Google Analytics or Certified Analytics Professional (CAP). Excellent communication, problem-solving, and stakeholder management skills help you translate complex data insights into actionable business strategies. These competencies ensure data-driven decision-making, effective team leadership, and impactful business outcomes.

What is the difference between Analytics Manager vs Data Analyst?

AspectAnalytics ManagerData Analyst
Required CredentialsBachelor's or Master’s in Business, Analytics, or related fields; often certifications in analytics toolsBachelor's degree in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data cleaning, analysis, and reporting; works under supervision
Employer & Industry UsageUsed in corporate, finance, marketing, and tech sectors for strategic decision-makingCommon in research, finance, healthcare, and marketing for data insights

While both roles involve working with data, the Analytics Manager oversees teams and strategic projects, whereas Data Analysts focus on data collection, analysis, and reporting. The Analytics Manager typically has more leadership responsibilities and a broader scope.

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

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

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

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

Infographic showing various Analytics Manager job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, 17% Hybrid, and 8% Remote job distribution, with an average salary of $102,859 per year, or $49.5 per hour.

Senior Manager, Marketing Science & Analytics

Scotiabank

Toronto, ON

Full-time

Posted 28 days ago


Job description

Requisition ID: 268479 
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Purpose 

The Senior Manager, Marketing Analytics provides leadership in the development, delivery, and continuous improvement of marketing analytics capabilities that support data-driven marketing decisions across global marketing functions. Reporting to the Director, Global Advanced Analytics & Insights in Marketing, this role leads a portfolio of analytics work spanning marketing measurement, campaign performance, audience strategy, personalization, forecasting, and business insights. The role sits at the intersection of marketing strategy, banking economics, data, and analytics, translating complex client, product, channel, and campaign data into clear recommendations that improve marketing effectiveness, customer value, and business outcomes.


Is this role right for you? In this role, you will be involved in: 

  • Marketing Analytics Strategy & Delivery: Lead the planning and delivery of marketing analytics initiatives across campaigns, channels, products, and customer segments. Translate business priorities into analytical roadmaps, manage intake and prioritization, and ensure timely delivery of high-quality insights and recommendations.
  • Marketing Measurement & Advanced Analytics: Oversee measurement frameworks including Marketing Mix Modelling (MMM), Multi-Touch Attribution (MTA), incrementality, experimentation, campaign effectiveness, and ROI analysis. Apply statistical and machine learning techniques where appropriate to improve measurement quality, scalability, and business relevance.
  • Marketing Optimization & Decision Science: Develop analytical frameworks and recommendations to improve allocation of marketing investment across channels and audiences. Leverage experimentation, uplift modelling, forecasting, and performance measurement to continuously improve campaign effectiveness and ROI.
  • Data Product & Reporting Enablement: Partner with data, technology, BI, and engineering teams to develop repeatable analytics products, dashboards, data assets, and standardized reporting frameworks. Drive reuse, documentation, automation, and governance of analytical approaches.
  • Client & Economic Insights: Champion a practical understanding of banking economics, customer value, profitability, and lifetime value. Convert client, portfolio, loyalty, and campaign data into actionable insights that inform marketing strategy and investment decisions.
  • Audience Strategy & Personalization: Lead audience analytics capabilities including segmentation, targeting, lookalike modelling, next-best-action support, and personalization insights for digital, paid media, and direct marketing activation.
  • Stakeholder Collaboration & Influence: Partner closely with Marketing, Product, Digital, Channel, Finance, and Analytics stakeholders to frame business questions, align on success measures, and communicate findings in a clear, executive-ready manner to senior leadership and non-technical audiences.
  • People Leadership, Innovation & Continuous Improvement: Lead, coach, and develop marketing analytics talent while identifying opportunities to improve analytics processes through automation, AI-enabled workflows, experimentation, and best-practice methods. Promote a culture of measurement, learning, and continuous improvement.

Do you have the skills that will enable you to succeed? We'd love to work with you if you have the following: 

   Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or Engineering.

   8+ years of progressive experience in marketing analytics, advanced analytics, data science, business insights, or a related quantitative field.
   Experience in financial services or banking preferred, with strong understanding of customer economics, product performance, and marketing effectiveness.
   Proven track record leading marketing analytics initiatives such as MMM, MTA, incrementality testing, campaign measurement, segmentation, forecasting, personalization, or ROI analysis.
   Experience leading teams, managing priorities, and delivering executive-ready recommendations to senior stakeholders in a complex business environment.
   Experience partnering with cross-functional teams including Marketing, Product, Digital, Finance, Data Engineering, BI, Technology, and Data Science.

Technical & Analytical Skills:

   Expert knowledge of experimentation and marketing measurement techniques.
   Strong familiarity with BI and data visualization tools (e.g., Power BI preferred).
   Experience working with large-scale data environments and cloud platforms (e.g., AWS, Azure, GCP).
   Ability to translate complex analytical findings into clear, concise, and actionable business recommendations for both technical and non-technical audiences.

Leadership & Communication:

   Exceptional leadership, team-building, and mentorship skills.
   Excellent written and verbal communication skills, with a proven ability to influence and persuade at all levels of an organization.
   Strong collaborative skills, with experience guiding technical roadmaps and partnering effectively with engineering and business teams.

                                        
Working Conditions


   Work in a standard office-based environment; role based in Toronto office.

Location(s):  Canada : Ontario : Toronto 
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.  
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our  Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.