Senior Manager, Analytics & Insights

Scotiabank

Toronto

On-site

CAD 140,000 - 180,000

Full time

41 hours ago
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Job summary

Scotiabank is seeking a Senior Manager, Analytics & Insights in Toronto to lead a high-performing analytics team and deliver enterprise-grade reporting solutions. You will bridge data engineering with strategic decision-making and own a broad portfolio of dashboards, models, and assets.

You will mentor Analytics Managers and Senior Analysts, drive accountability, and partner with senior stakeholders across Compliance, Finance, and Distribution.

Qualifications

  • Bachelor’s or Master’s degree in a quantitative discipline such as analytics, CS, statistics, finance, or engineering.
  • 8+ years in Analytics, BI, or Data Science; strong leadership experience.
  • Banking/Financial Services experience desirable, esp. regulatory environments.

Responsibilities

  • Provide strategic direction and day-to-day leadership to Analytics Managers and Senior Analysts.
  • Mentor managers, strengthen capabilities in people leadership, delivery management, and technical storytelling.
  • Own and govern dashboards and reporting assets aligned to business KPIs.
  • Partner with Engineering to design reusable, well-modeled datasets and migrate to modern cloud architectures.
  • Lead move from descriptive to predictive analytics and automated self-service reporting.
  • Ensure analytics meet regulatory, privacy, and audit requirements.

Skills

Power BI
SQL
Python
Azure
Data Modeling
Leadership

Education

Bachelor’s or Master’s degree in a quantitative discipline

Tools

Snowflake
GCP
Azure

Job description

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Please be advised that our Careers site will be unavailable from November 28 at 12am ET to November 29 12am ET for scheduled system maintenance.
Title: Senior Manager, Analytics & Insights

Requisition ID: 258932
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Purpose:

The Senior Manager, Analytics & Insights leads a high-performing analytics team to deliver actionable insights and enterprise-grade reporting solutions. This role bridges complex data engineering with strategic business decision-making. You will own a broad portfolio of analytics products, mentor managers, and senior practitioners, and help shape the organization’s data culture as we transition to modern cloud-based architectures.


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

  • Provide strategic direction and day-to-day leadership to a team of Analytics Managers, and Senior Analysts
  • Act as a mentor to Analytics Managers, strengthening capabilities in people leadership, delivery management, and technical storytelling
  • Build a culture of accountability, continuous improvement, and technical excellence through clear expectations and ongoing feedback
  • Serve as a trusted analytics partner to senior leaders across Compliance & Supervision, SGAM Finance and Retail Mutual Funds Distribution
  • Own and govern a diverse ecosystem of dashboards and reporting assets, ensuring accuracy, performance, scalability, and alignment to business KPIs
  • Balance competing priorities across business units with transparent communication on delivery timelines, trade-offs, and capacity constraints
  • Partner closely with Engineering to design reusable, well-modeled datasets that reduce manual effort and downstream reporting complexity
  • Lead the shift from legacy, ad hoc reporting toward automated, self-service analytics solutions
  • Support the evolution of the analytics stack (e.g., Hadoop to Azure / Microsoft Fabric), ensuring reporting stability and continuity throughout migration efforts
  • Champion the move from descriptive analytics to predictive and prescriptive insights
  • Define and enforce standards for data visualization, query optimization, documentation, and code quality (DAX / SQL / Python)
  • Partner with GWM Data Governance to ensure all analytics and reporting meet regulatory, privacy, and audit requirements


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

  • Bachelor’s or master’s degree in a quantitative discipline (e.g., Business Analytics, Computer Science, Statistics, Finance, or Engineering)
  • 8+ years’ experience in Analytics, Business Intelligence, or Data Science
  • People leadership experience is required
  • Prior experience in Banking, Wealth Management, or Financial Services is highly desirable—particularly within distribution, compliance, or regulatory environments
  • Expert-level proficiency in Power BI (DAX, Power Query) or comparable BI platforms
  • Advanced SQL / Python skills for complex data extraction, transformation, and optimization.
  • Experience working in cloud environments (Azure ecosystem, Snowflake, or GCP) with strong data modeling foundations
  • Knowledge of Canadian Retail Banking and Wealth Management distribution channels
  • Exceptional communication, stakeholder management, and team leadership skills

Interested?


At Scotiabank, every employee is empowered to reach their fullest potential, respected for who they are and, embraced for their differences. That is why we work to grow and diversify talent and engage employees in a performance-oriented culture.


What's in it for you?

Scotiabank wants you to be able to bring your best self to work – and life, every day. With a focus on holistic well-being, our many flexible benefit programs are designed to help support your unique family, financial, physical, mental, and social health needs.

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.


Job Segment: Compliance, Computer Science, Law, Data Modeler, Data Analyst, Legal, Technology, Data

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