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Added 3 mins ago
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Scotiabank

Manager, Data Insights (20 Month Contract)

Toronto, ON, M5C 2W1, Canada

Apply by: Oct 3, 2026
Experience: 5+ years of data analytics experience, with at least 2 years of big data analytics experience
Posting language: English
Posted: Sep 25, 2026

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Applications open in a new tab.

Original job description

Requisition ID: 274105

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

This is a 20 month contract role.

The Manager, Data Insights, is responsible for supporting analysis that will help the Bank to balance business growth and a continued focus on the customer. The incumbent will support efforts to identify, analyze & test for conduct and sales conduct vulnerabilities and opportunities using data, and create action plans to resolve. This involves working with large datasets and distributed computing tools to create structures and analysis environments.

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

Support the analysis of employee & customer data and information to identify insights that support the Retail Sales Practices mandate by:
- Analyzing employee sales results, customer transaction and channel activity data to support insights related to employee behavior and customer experience in channels using advanced statistical and analytical techniques
- Documenting ideas and findings with recommendations and insights in an easily consumable manner
- Transforming and cleaning large data sets, including structured and unstructured data
- Performing data mining & modelling

Support the development and maintenance of testing criteria and methodologies to ensure that the right level of monitoring is taking place for Retail Distribution supporting positive customer outcomes.
- Support the development of appropriate and consistent testing protocols, methodologies and standards for detection of improper sales conduct.
- Support the Senior Manager in establishing acceptable thresholds for each reported data stream to delineate outlier behaviours

Support the development and maintenance of consistent sales practices oversight and monitoring by:
- Participating in setting direction for analysis and associated data visualization
- Assisting in the improvement of operational activities by identifying and implementing process improvements, identifying methods to monitor and maintain oversight and potential enhancements

Support the dissemination of outputs, insights & results by:
- Enabling self-service reporting and analysis by end users
- Maintaining and iterating communication frameworks
- Building executive dashboards
- Following through on feedback for sales practices outlier reporting coordinated through the Regional and District teams.
- Using feedback outcomes to refine analysis, insights and understanding of the data

Support an environment in which their team pursues effective and efficient operations of their 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 but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

Dimensions

Sales Practices for all Channels of Canadian Banking

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

Experience cleaning, transforming and visualizing large data sets working with various data
Ability to communicate effectively with executives, business partners, and technical resources in analytics and data management
Experience using and implementing data visualization tools like Tableau or Power BI to deliver reports
Strong SQL skills for querying relational databases (e.g.DB2) and extensive experience with statistical analysis tools like SAS
Excellent business acumen and strategic thinking skills
Expert ability to manage and organize information, including interpretation of results for management presentation purposes
Ability to work in cross-functional teams and build networks and relationships
Prior work experience within Financial Services Industry
Excellent problem-solving and analytical skills.
University degree in Statistics, Mathematics, Computer Science or related field
Branch experience is an asset
5+ years of data analytics experience, with at least 2 years of big data analytics experience

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.

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More about this job

Responsibilities

The Manager, Data Insights will support the analysis of employee and customer data to identify sales conduct vulnerabilities and opportunities. They are responsible for developing testing protocols, maintaining oversight frameworks, and creating executive dashboards to support positive customer outcomes.

Requirements

Candidates must have at least 5 years of data analytics experience, including 2 years of big data experience, and a university degree in a quantitative field. Proficiency in SQL, SAS, and data visualization tools like Tableau or Power BI is required, along with strong business acumen.

Skills

Data Analysis
SQL
SAS
Tableau
Power BI
Data Mining
Data Modeling
Statistical Analysis
Big Data Analytics
Strategic Thinking
Business Acumen
Data Visualization
Risk Management
Regulatory Compliance
Communication
Cross-functional Collaboration

Visa sponsorship

Not detected in the job text

Keywords

Data Insights
Retail Sales Practices
Conduct Risk
Operational Risk
AML/ATF
SQL
SAS
Tableau
Power BI
Data Mining
Data Modeling
Big Data
Financial Services
Statistical Techniques
Executive Dashboards
Regulatory Compliance
Business Intelligence
Data Cleaning
Data Transformation
Reporting
Outlier Detection
Strategic Planning
Cross-functional Teams
DB2
Risk Management Framework

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