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

We're building a relationship-oriented bank for the modern world. We need talented, passionate ... As the Consultant, Data and AI Analytics, you will not only analyze data but also build intelligent ...

We're building a relationship-oriented bank for the modern world. We need talented, passionate ... As the Consultant, Data and AI Analytics, you will not only analyze data but also build intelligent ...

We're building a relationship-oriented bank for the modern world. We need talented, passionate ... The role is responsible for supporting the delivery of advanced consulting advice in data analytics ...

We're building a relationship-oriented bank for the modern world. We need talented, passionate ... The role is responsible for supporting the delivery of advanced consulting advice in data analytics ...

The Data Analyst analyzes current business processes and oversees the integration and ... Toronto Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we ...

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Bank Data Analytics information

How does a bank data analytics professional typically collaborate with other departments within a financial institution?

Bank Data Analytics professionals work closely with various departments such as risk management, marketing, compliance, and IT. They translate complex data sets into actionable insights, guiding strategic decisions and helping teams understand customer behavior, detect fraud, and ensure regulatory compliance. Regular cross-functional meetings and project-based collaborations are common, allowing analytics professionals to align data-driven recommendations with business goals and operational needs. This collaborative structure enhances communication, streamlines workflow, and maximizes the value of data across the organization.

What is bank data analytics?

Bank data analytics is the process of collecting, processing, and analyzing large volumes of data generated by banking transactions and operations. It helps banks gain insights into customer behavior, detect fraud, manage risks, and improve decision-making. By leveraging advanced analytical tools and techniques, banks can enhance customer experiences, increase efficiency, and develop data-driven strategies for growth. Bank data analytics professionals work with big data, machine learning, and statistical models to extract meaningful patterns and support business objectives.

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

AspectBank Data AnalyticsBank Data Analyst
Required SkillsData analysis, statistical modeling, programming (SQL, Python)Data analysis, reporting, basic statistical skills
Work EnvironmentData teams, analytics departments within banksBank branches, finance departments, risk management teams
CertificationsData analytics certifications, SQL, Python coursesFinance or banking certifications, possibly data skills
Industry UsageFocus on developing analytics models and insightsFocus on interpreting data for decision-making

Bank Data Analytics involves advanced data modeling and technical skills to develop insights, while a Bank Data Analyst primarily interprets data to support banking operations. Both roles require analytical skills, but Bank Data Analytics is more technical and model-driven, whereas Bank Data Analyst focuses on reporting and data interpretation within banking environments.

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

To thrive as a Bank Data Analytics professional, you need strong analytical skills, proficiency in statistics, and a solid background in finance or economics, often supported by a relevant degree. Expertise in data analysis tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI, as well as knowledge of data governance frameworks, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication help translate complex data insights into actionable recommendations for stakeholders. These skills are crucial for driving data-informed decisions that enhance financial performance and risk management in the banking sector.
What job categories do people searching Bank Data Analytics jobs in Toronto, ON look for? The top searched job categories for Bank Data Analytics jobs in Toronto, ON are:
Infographic showing various Bank Data Analytics job openings in Toronto, ON as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Director & Global Head of HR Analytics and Data Office

Scotiabank

Toronto, ON

Full-time

Re-posted 24 days ago


Job description

Requisition ID: 258596
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Director & Global Head of HR Analytics and Data Office leads and oversees a team comprised of the global data office; analytics and insights; advanced analytics capabilities; reporting and visualization; and AI. This role is the primary contact for all matters related to Global Human Resources data and is the champion for advancing analytics capabilities, technologies, human capital insights and a culture of data literacy.

As the Global Human Resources Data leader, this position oversees the data office and manages the design, development and implementation of data strategies; data standards; data products; data procedures; data governance; and data security all in alignment with the Bank's data governance framework. This role is also accountable for developing and driving our advanced people analytics capabilities and to create data and analytics assets while advancing our behavioral science reach.

A key aspect of this role is to provide the experience and thought leadership to evolve our data strategy roadmap to achieve a consolidated and consistent global view of data across multiple systems and geographies. They will provide oversight and support for applied employee research, data mining, advanced analytics, and the development of predictive models to further our understanding of the workforce and improve employee experience.

This position is responsible for the production of all monthly, quarterly, annual, and ad-hoc human capital reporting requests and ensures the accuracy, comprehensiveness and timeliness of the data provided. Driving continuous improvement of self-serve and visualization capabilities is paramount in order to optimize user experience and adoption.  They will also provide subject matter expertise and point of view on how to advance our technology capabilities such as AI, machine learning, large language models, and cloud-based tools.

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

  • Lead the transformation of Global HR's data, analytics, reporting and visualization capabilities to improve data-driven decision making and accelerate insights at scale to help each line of business optimize human capital.
  • Drive applied employee research, data mining, analytical/statistical methodology, behavioral science and the development of predictive models to further our understanding of the workforce and enhance employee experience.
  • Lead advanced analytics to drive actionable insights to propel human capital decision making and build behavioral science capabilities to enhance employee understanding and awareness.
  • Partner closely with IT to develop data engineering pipelines, advance technology capabilities (i.e., software, infrastructure and data pipelines) to better leverage AI, machine learning and cloud-based tools.
  • Develop a programmatic approach to increase data literacy and adoption across Global Human Resources in order to enhance advice capabilities and to deliver impactful human capital insights for each line of business.
  • Manage the design, development and implementation of data strategies, data standards, data procedures, data governance and data security to support Global Human Resources and ensure alignment with the Bank's Data Governance Framework.
  • Establish data quality rules, standards and thresholds and ensure appropriate data quality monitoring practices are in place; lead the identification and root-cause analysis of data quality issues and support remediation efforts in a timely manner based on priority.
  • Develop teams and create a high performing culture that nurtures talent and helps bring to life our values of collaboration, growth, and respect.
  • Manage direct reports and the broader department to achieve organizational goals in accordance with company policies and practices.
  • Create an effective work environment by developing a common vision, setting clear objectives, expecting teamwork, recognizing outstanding performance, maintaining open communications and encourage high level of engagement across the team.
  • Build a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviors; communicating vison/values/business strategy; and, managing succession and development planning for the team.
  • Create an environment in which the team pursues effective and efficient operations of the respective areas in accordance with Scotiabank's Values and Code of Conduct, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations.

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

  • Post-Secondary degree in a quantitative /computer science /data & analytics field.  Relevant Master's Degree is desirable. A minimum of seven or more years of progressive, relevant and practical experience in people analytics and data management; a proven track record of success in analytical reporting and the implementation/management of supporting technology systems.
  • Expert understanding of data management structure, big data, business requirements, analytics, reporting delivery - incl Enterprise Data Lake, database management & technology reporting tools (PowerBI) and coding languages.
  • Experienced in leading applied employee research and knowledge of behavioral science and industrial/organizational psychology.
  • Excellent knowledge of Statistics (SAS, SPSS), Data Mining (MS SQL), Business Intelligence and Office Automation software packages including good knowledge of computer languages.
  • Strong project management skills with a proven ability to work independently and proactively to drive data management and analytics efforts.
  • Leadership and communication skills required to manage, prioritize and execute diverse activities and projects concurrently.  Also, collaborative leadership skills to drive people development and strong team growth.
  • Integrity, high attention to detail, thoroughness, and accuracy are critical to ensure quality outputs. Solid organizational interpersonal and communication skills and be able to direct varied activities within tight time frames.
  • Excellent interpersonal and communication skills are essential in dealing with many senior internal and external parties, as well as preparing reports for Executive Management.

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.