Manager, CWM Analytics, GWM - Toronto/Ottawa

Scotiabank; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

Scotiabank in Canada is seeking a Manager, Analytics to lead a high-performing team of analysts and deliver data-driven insights that shape business strategy and performance. You will partner with senior stakeholders to solve complex challenges and identify opportunities for innovation, growth, and operational excellence.

The role requires advanced SQL, Power BI and Tableau skills, plus Python or R, with a focus on data governance, quality assurance, and compelling executive storytelling.

Qualifications

• Bachelor's degree in data analytics, statistics, or related field.
• MBA/ MSc is an asset.
• 5+ years in analytics or BI.
• 2+ years in people leadership.
• Banking/financial services experience preferred.

Responsibilities

• Lead analytics team to deliver actionable insights.
• Partner with senior stakeholders and align with business goals.
• Develop KPIs and executive-ready narratives.
• Deliver dashboards and reports.

Skills

Advanced SQL

Data visualization

Data storytelling

Executive communication

Leadership

Education

Bachelor's degree in data analytics or related field

MBA/MSc is an asset

Tools

Power BI

Tableau

Python

SQL

Job description

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Requisition ID: 277882

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

Purpose

The Manager, Analytics is responsible for leading a high-performing team of analytics professionals to deliver actionable insights that drive business strategy and performance across Scotiabank. This role partners with senior stakeholders to solve complex business challenges, advance data-driven decision-making, and identify opportunities for innovation, growth, and operational excellence. Through strong leadership, analytical expertise, and strategic thinking, the Manager, Analytics transforms data into meaningful business outcomes while fostering a culture of collaboration, continuous improvement, and innovation.

Key Responsibilities

Leadership & Team Development

• Lead, mentor, and develop a team of analysts, fostering a culture of collaboration, accountability, and continuous learning.
• Set clear objectives, priorities, and performance expectations aligned with business goals.
• Promote strong quality assurance and data governance practices across the team's analytical work and deliverables.

Strategic Analytics & Insights

• Deliver high-impact analytics, reporting, dashboards, and data-driven recommendations that support strategic decision-making.
• Translate complex business challenges into analytical solutions that drive measurable results.
• Identify trends, risks, and opportunities to improve business performance and customer outcomes.
• Develop and deliver executive-ready PowerPoint presentations that clearly communicate complex analytics, business insights, and strategic recommendations.

Stakeholder Partnership

• Act as a trusted advisor to business leaders across Retail, Wealth, Risk, Finance, and other key functions.
• Partner with stakeholders to define KPIs, success measures, and actionable strategies.
• Communicate insights through compelling data storytelling and executive-level presentations.

Data, Governance & Analytics Excellence

• Champion data governance, data quality, quality assurance, and compliance with enterprise standards and regulatory requirements.
• Establish and maintain quality assurance practices to ensure the accuracy, consistency, and reliability of analytics, dashboards, reporting, and business insights.
• Collaborate with Technology, Data Governance, and Engineering teams to enhance data accessibility and analytics capabilities.
• Drive innovation through advanced analytics, automation, predictive modeling, and emerging technologies.

Operational Excellence

• Improve and scale analytics processes, tools, and reporting solutions.
• Ensure timely, accurate, and high-quality delivery of analytical insights and business intelligence.

Technical Skills

• Advanced SQL and data querying expertise.
• Proficiency with Power BI, Tableau, or similar visualization tools.
• Advanced Microsoft PowerPoint skills, including the ability to develop polished, executive-level presentations and translate complex data into clear business narratives.
• Strong knowledge of data governance, data quality, and quality assurance principles and practices.
• Experience with Python, R, or other analytical programming languages.
• Knowledge of modern data platforms and cloud-based analytics environments.
• Strong understanding of statistical analysis, forecasting, and predictive modeling.

Education & Experience

• Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Finance, or a related field.
• Master's degree (MBA, MSc, or equivalent) is an asset.
• 5+ years of experience in analytics, business intelligence, or a related field.
• 2+ years of people leadership or demonstrated experience leading analytical initiatives.
• Financial services or banking experience is preferred.

This role may be based in either Toronto or Ottawa, Ontario.

Location(s): Canada : Ontario : Ottawa || 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. 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.