Data Analyst, CWM Analytics, GWM

Scotiabank; Ottawa; On-site; CAD 70,000 - 110,000; Full time

Job summary

Scotiabank is seeking a Data Analyst to transform complex data into actionable insights that support business strategy, operations, and customer outcomes. You will work closely with business partners, data engineers, and analytics teams to uncover opportunities and deliver recommendations that drive measurable impact.

Responsibilities include analyzing large datasets, building dashboards with Power BI/Tableau, and presenting findings to technical and non-technical audiences while upholding data

Qualifications

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

Responsibilities

• Analyze large and complex datasets to identify trends, opportunities, and actionable insights.
• Develop and maintain dashboards and reports using Power BI, Tableau, Excel, or similar tools.
• Translate data into clear recommendations for stakeholders and leadership.
• Prepare professional presentations to communicate findings and recommendations.

Skills

SQL

Data storytelling

Communication

Problem-solving

Prioritization

Education

Bachelor's degree in Data Analytics or related field

Tools

Power BI

Tableau

Excel

Python/R

Job description

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Requisition ID: 277891 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.
• Develop clear and professional PowerPoint presentations to communicate analytical findings, trends, and recommendations to business stakeholders.

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 & Quality Assurance

• Ensure the accuracy, integrity, and reliability of data used for reporting and analysis.
• Perform quality assurance reviews to validate the accuracy and completeness of reports, dashboards, and analytical outputs.
• Apply strong data governance practices to support appropriate data usage, documentation, controls, and adherence to enterprise standards.
• Perform data validation, reconciliation, and quality assurance activities.
• Support data governance initiatives and adherence to enterprise standards and best practices.

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.
• Strong proficiency in Microsoft PowerPoint, with the ability to translate data and insights into clear, professional presentations.
• Knowledge of data quality, quality assurance, and data governance principles and practices.
• 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.

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

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.

#SWM

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.