Data Analyst

Scotia Wealth Management; Toronto; On-site; CAD 85,000 - 110,000; Full time

Job summary

Scotiabank is seeking a Data Analyst to drive data-informed decision making by transforming complex data into actionable insights. You will collaborate with business partners, data engineers, and analytics teams to deliver dashboards, reports, and recommendations that support strategy and outcomes.

Key responsibilities include analyzing large datasets, developing Power BI/Tableau dashboards, and ensuring data quality while partnering with Retail Banking, Wealth Management, Risk and Finance

Qualifications

• Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Finance, or a related field.
• 2+ years of experience in data analytics, business intelligence, or a related field.
• Experience working with large datasets and relational databases.
• Financial services, banking, customer analytics, or risk analytics experience is considered an asset.

Responsibilities

• Analyze large and complex datasets to identify trends, opportunities, and actionable business insights.
• Develop and maintain dashboards, reports, and visualizations using Power BI, Tableau, Excel, or similar tools.
• Translate data into clear recommendations that support strategic and operational decision‑making.
• Partner with business leaders across areas (Retail Banking, Wealth Management, Risk, Finance) to understand needs and objectives.
• Translate business questions into analytical solutions and data-driven recommendations.
• Present findings effectively to both technical and non-technical audiences.

Skills

SQL

Education

Bachelor's degree in data analytics/related field

Tools

Power BI

Tableau

Excel

Python

R

Snowflake

Hadoop

GCP

Job description

Requisition ID: 268731

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

Purpose

The Data Analyst plays a key role in driving data-informed decision-making across Scotiabank by transforming complex data into meaningful insights that support business strategy, operational excellence, and customer outcomes. Working closely with business partners, data engineers, and analytics teams, you will leverage data to uncover opportunities, solve business challenges, and deliver actionable recommendations that create measurable impact.

Key Responsibilities

Data Analysis & Insights

• Analyze large and complex datasets to identify trends, opportunities, and actionable business insights.
• Develop and maintain dashboards, reports, and visualizations using Power BI, Tableau, Excel, or similar tools.
• Translate data into clear recommendations that support strategic and operational decision‑making.

Stakeholder Collaboration

• Partner with business leaders across areas such as Retail Banking, Wealth Management, Risk, and Finance to understand business needs and objectives.
• Translate business questions into analytical solutions and data-driven recommendations.
• Present findings effectively to both technical and non-technical audiences.

Data Quality & Governance

• Ensure the accuracy, integrity, and reliability of data used for reporting and analysis.
• Support data governance initiatives and adherence to enterprise standards and best practices.
• Perform data validation, reconciliation, and quality assurance activities.

Advanced Analytics & Innovation

• Support predictive analytics, customer segmentation, performance measurement, and business improvement initiatives.
• Collaborate with data scientists and engineers on advanced analytics and innovation projects.
• Identify opportunities to automate reporting and enhance data processes.

What You'll Bring

Technical Skills

• Strong SQL and data querying skills.
• Experience with data visualization tools such as Power BI, Tableau, or similar platforms.
• Advanced Excel proficiency.
• Experience with Python or R is an asset.
• Familiarity with cloud and data warehousing platforms such as Snowflake, Hadoop, GCP, or similar technologies.

Core Competencies

• Strong analytical and problem-solving abilities.
• Excellent communication and data storytelling skills.
• High attention to detail and commitment to data accuracy.
• Ability to manage competing priorities in a fast-paced environment.
• Collaborative mindset with strong stakeholder relationship skills.

Education & Experience

• Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Finance, or a related field.
• 2+ years of experience in data analytics, business intelligence, or a related field.
• Experience working with large datasets and relational databases.
• Financial services, banking, customer analytics, or risk analytics experience is considered an asset.

Why Join Scotiabank?

• Work on high-impact projects that influence strategic business decisions.
• Partner with diverse teams across one of Canada's leading financial institutions.
• Gain exposure to modern analytics tools, cloud technologies, and enterprise-scale data environments.
• Be part of a team that values innovation, collaboration, and continuous learning.

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.