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Senior Manager Data Analytics Jobs in Toronto, ON

The Manager, Data and Analytics, Retail Credit Risk, GRM will be responsible for monitoring and ... The incumbent will deliver ongoing portfolio reporting and monitoring to senior management, as well ...

Manager, Data Analytics Data Analyst plays a critical role in enabling enterprise-wide data-driven decision-making by managing and advancing McKesson's data assets. This position is responsible for ...

Manager, Data Analytics Data Analyst plays a critical role in enabling enterprise-wide data-driven decision-making by managing and advancing McKesson's data assets. This position is responsible for ...

Senior Business Data Analyst Position Summary Reporting to the Director or Senior Manager, Data Governance, the Senior Business Data Analyst ensures business applications provide complete, accurate ...

The Manager, Data Analyst supports the Canadian Technology Data Engineering team by delivering hands on analytics, reporting, and insights for priority initiatives. This role focuses on translating ...

Reporting to the Senior Manager, Data Lead, this role is responsible for executing against the data ... Experienced in data product management, data analysis, data governance and / or data engineering ...

The Senior Manager - Data Platforms will play a critical role within the Enterprise Data & AI ... Analyze, triage, and resolve platform issues promptly to achieve SLOs and platform reliability ...

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 ...

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Showing results 1-20

Senior Manager Data Analytics information

See Toronto, ON salary details

$30.5K

$121.1K

$188K

How much do senior manager data analytics jobs pay per year?

As of Aug 24, 2026, the average yearly pay for senior manager data analytics in Toronto, ON is $121,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,048.00 and $149,831.00 per year, depending on experience, location, and employer.

What does a senior manager data analytics do?

A Senior Manager Data Analytics leads teams that analyze large sets of data to help organizations make informed business decisions. They develop analytics strategies, oversee data projects, and ensure the quality and integrity of data-driven insights. This role often involves collaborating with other departments, mentoring analysts, and presenting key findings to senior leadership. Senior Managers in this field need strong technical skills, leadership abilities, and business acumen to drive impactful results.

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

To thrive as a Senior Manager Data Analytics, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a degree in a quantitative field and several years of analytics experience. Proficiency with analytics tools such as SQL, Python, R, and platforms like Tableau or Power BI, as well as experience with data warehousing systems, is essential. Strong leadership, strategic thinking, and communication skills enable you to guide teams and translate complex findings into actionable business insights. These competencies are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

How does a senior manager data analytics typically collaborate with cross-functional teams within an organization?

Senior Managers of Data Analytics frequently work alongside cross-functional teams such as IT, product development, marketing, and finance to ensure that data-driven insights align with business objectives. They are responsible for translating complex analytical findings into actionable recommendations and communicating these insights clearly to both technical and non-technical stakeholders. Regular collaboration often involves leading meetings, setting project priorities, and ensuring data initiatives are integrated smoothly with ongoing business strategies. This collaborative environment fosters innovation and helps drive organizational growth.

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

AspectSenior Manager Data AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership roles, strategic planning, team managementData collection, analysis, reporting
Employer & Industry UsageCorporate, finance, healthcare, tech companiesVarious industries, including marketing, finance, tech
Common Search & ComparisonOften compared for leadership and strategic rolesCompared for technical and analytical skills

The main difference between Senior Manager Data Analytics and Data Analyst lies in their responsibilities and experience level. Senior Managers focus on strategic oversight, team leadership, and decision-making, while Data Analysts handle data collection, analysis, and reporting at a more technical level. Senior Managers typically have more experience and credentials, working in leadership roles within organizations across various industries.

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

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

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

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

Infographic showing various Senior Manager Data Analytics job openings in Toronto, ON as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $121,124 per year, or $58.2 per hour.

Manager Data & Analytics

Scotiabank

Toronto, ON

Full-time

Medical, Retirement

Posted 11 days ago


Job description

Requisition ID: 270267 
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

We are committed to investing in our employees and helping you continue your career at Scotiabank. The Manager, Data and Analytics, Retail Credit Risk, GRM will be responsible for monitoring and reporting on retail lending portfolios. The role also provides actionable insights to Risk Management teams, including Acquisition, Account Management, and Collections as well as business line partners. The role is highly technical and requires expert SAS/Python, data analytics, and Business Intelligence tools skills. The incumbent will deliver ongoing portfolio reporting and monitoring to senior management, as well as address ad-hoc data requests.

Is this role right for you? In this role, you will:

  • Use a variety of Business Intelligence analytical and reporting tools, such as SAS, Python, and Tableau, to provide dynamic reporting on key performance metrics to various stakeholders in GRM and business lines
  • Respond to ad-hoc requests from executives and key stakeholders with a sense of urgency. Perform required data pulls and reconciliations to answer questions. Prioritization and working on more than one request at a time is often required
  • Provide actionable insights and meaningful messages from the reporting to drive credit risk decisions
  • Collaborate with Acquisition, Account Management, and Collections teams to provide measurement and reporting on strategic initiatives such as acquisition dynamics and quality, line optimization, and collections effectiveness
  • Understand how the Bank's risk appetite and risk culture should be considered in day-to-day activities and decisions.
  • Using our data, continually develop and refine a more holistic customer view.
  • Annual limits definition and monitoring: strong experience in data modelling, data modelling concepts, and techniques for creating and maintaining data models and defining database structures while ensuring data integrity and quality
  • Leverage consumer data, performance, and behavioral trends to perform correlation analyses and build statistical models for annual limit setting
  • Ensure all business line strategic priorities, including life-cycle strategies, early warning triggers, and provisioning, are consistent with the Risk Appetite Framework
  • Actively pursue effective and efficient operations of the respective areas, while ensuring the adequacy, adherence to, and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk, and conduct risk, including responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook, and the Guidelines for Business Conduct

Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:

  • University degree in Business, Engineering, Commerce, Mathematics, or related quantitative discipline
  • 4+ years of experience in business intelligence, analytics, and/or data engineering
  • Proficiency utilizing a variety of analytical tools including SAS, SQL, Power BI, Tableau, dBeaver, Excel and a solid knowledge and understanding of advanced analytical concepts and methodologies
  • Proactive and able to work independently as well as collaboratively in a team
  • Must be creative, self-starting, results-oriented, and highly motivated with excellent analytical skills
  • The incumbent must have a good knowledge of the bank's lending products, including Credit Cards, Line of Credits, Mortgages, and Auto Loans, and should have familiarity with the Bank's Risk Management activities
  • A proven ability to extract and interpret data; transform it into meaningful and actionable business insights effectively and accurately
  • Strong analytical, project management, people management and relationship building skills
  • A strong sense of urgency and a proven ability to understand, and effectively assess multiple, ongoing requests

What's in it for you?

  • An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success!
  • We offer a competitive rewards package: Performance bonus, Employee Share Ownership Program, and Pension Plan Matching, Health Benefits from day one!
  • Your career matters! You will have access to career development and progression opportunities.

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.