Full-Time Data Analyst

VersaBank is an inclusive, entrepreneurial, Schedule 1 Chartered Bank with over $5.8 billion in assets and growing. As Canada’s most innovative bank, VersaBank operates as a branchless financial institution that obtains its deposits and provides most of its loans and leases electronically, with innovative deposit and lending solutions for financial intermediaries that allow them to excel in their core businesses.
VersaBank’s Common Shares trade on the Toronto Stock Exchange (“TSX”) and Nasdaq under the symbol VBNK. Our head office is in London, Ontario, with various offices located across Canada. For more information on VersaBank, please visit our website at

We are looking for a Data Analyst to join our IT team. This is a full-time, in office role based in London, Ontario.

As a Data Analyst, you will play a key role in designing, developing, and maintaining reporting solutions. You will derive valuable insights and be instrumental in enabling effective performance monitoring and decision making for VersaBank and the leadership team. You will also focus on improving efficiency, accelerating existing processes through automation, and fostering a data-driven culture across the Bank.

Leveraging your analytical experience, you will build and maintain data models, reports, and dashboards that bridge the gap between business requirements and technical implementations.

Design, develop, and maintain data visualizations, interactive dashboards, and paginated reports.
Support business users with self-serve reporting needs, providing training when necessary.
Ensure data accuracy, integrity, and security by playing an active role in data governance through mapping, cataloging, and classifying data assets.
Participate in data warehouse design by suggesting schema changes and additions to support business requirements.
Work closely with stakeholders across the business to understand reporting and analysis requirements.
Bachelor's degree in business administration, statistics, computer science, or related field.

• 1-2 years experience with relational databases and developing reporting solutions using Power BI (preferred), Tableau, Looker, or similar analytics platform required.
• Knowledge and experience using data warehouse concepts and principles including star schema design and semantic modeling.
• Strong SQL skills and a solid understanding of query optimization and profiling tools and techniques.
• Solid experience with both Excel and Power Query.
• Experience with Power Automate an asset.
• Experience with cloud-hosted data platforms such as Microsoft Fabric (preferred), Amazon Redshift, Google BigQuery, or Snowflake an asset.
• Python skills a definite asset.
• Experience with GenAI and agentic AI tools an asset.
• Understanding of data governance tools (e.g., Microsoft Purview) an asset.
• Strong communication and interpersonal skills, with an ability to clearly present findings and recommendations to both technical and non-technical audiences.
• Prior experience working in the banking or financial industry would be an asset.

Competitive compensation package, including incentive opportunities and pension supplement program.
We encourage applications from individuals of all backgrounds, including persons with disabilities, Indigenous persons, members of visible minorities, women, LGBTQ+ individuals, and other underrepresented groups.