Data Analyst

**General Bank of Canada is a Schedule 1 Chartered bank headquartered in Edmonton, Alberta, and part of the Wheaton Group.** Our journey began in the 1950s with an entrepreneurial spark that has grown into one of Canada’s fastest-growing small banks, delivering innovative financing solutions across automotive, aviation, and commercial sectors.

At GBC, our core values of **Trust**, **Discipline**, **People**-**Centric** **Approaches**, and **Innovation** drive every decision we make. We leverage our nimble structure to pioneer forward-thinking banking solutions in the digital era. Proudly certified as a **Great** **Place** **to** **Work** for six consecutive years, we’re dedicated not only to transforming banking but also to making real impact in the communities we serve. Since 1969, our ongoing partnership with **United** **Way** has fueled volunteer initiatives, fundraising, and community programs that truly change lives. When you join our team, you’re contributing to a future where innovation and community go hand in hand. We love it here and know you will too

The Opportunity

General Bank of Canada is looking for a permanent, fulltime **Data Analyst** to join as a key contributor with the Bank’s Data, Technology & Innovation team. Consistent with the growth trajectory of the Bank, this is an excellent opportunity for the right individual to contribute to building the Bank of the future with considerable potential for learning, growth, and advancement.

Reporting to the Director, Data Engineering & Advanced Analytics, Data Analyst is responsible for analyzing and transforming data into meaningful insights that drive informed decision-making. This role will develop and maintain analytical models, dashboards, build data extraction and transformation logic, and reports to ensure accuracy and relevance in business processes. The Data Analyst will take a hands-on approach to data extraction, validation, and visualization, leveraging SQL, Power BI, Excel, and Python to support analytical needs across the organization. Additionally, the role will contribute to data quality and governance efforts, collaborating with data engineers, architects, and business colleagues to ensure consistency and accuracy in reporting and analytics.

Position Responsibilities
- _Data Analysis & Modeling:_ Analyze complex datasets to identify trends, patterns, and insights that support data-driven decision-making. This can include, but is not limited to, the development of analytical models for exception reporting, regulatory analysis, corporate performance evaluation, and forecasting to assess business impacts and opportunities.
- _Dashboard & Reporting Development:_ Design, build, and maintain interactive Power BI dashboards and reports, ensuring accuracy and usability. Automate reporting processes where possible and work with business teams to refine visualizations that support business objectives.
- _Data Extraction & Transformation:_ Utilize SQL, Excel, and Python to extract, clean, and transform data from multiple sources, ensuring data quality and consistency. Build reusable queries and datasets to support self-service reporting and advanced analysis.
- _Data Governance & Performance Monitoring_: Support data governance by ensuring accuracy, reconciliation, and compliance with quality standards. Monitor key business metrics, flag anomalies, and assist in identifying root causes and corrective actions.
- _Collaboration: _Work closely with cross-functional teams to understand analytical needs, translate them into data solutions, and present findings in a clear and actionable manner.
- _Business Partnering & Strategic Support:_ Serve as a key business partner providing data-driven insights that enhance decision-making and operational efficiency. Work collaboratively, primarily with our Risk, Security & Compliance team, to understand business challenges, identify opportunities for improvement, and develop analytics solutions that align with regulatory requirements and department goals.
- _Continuous Improvement & Innovation_: Stay current with industry trends and emerging technologies in analytics, data visualization, and modeling to improve analytical capabilities and reporting efficiency.

What You Bring to the Table

**Qualifications**
- Education: A bachelor’s degree in business, statistics, economics, finance, or technology is required. Demonstrated experience will also be considered.
- Experience: 3+ years of experience in data analysis, business intelligence, or a related field.
- Technical Skills: Proficiency in SQL, Power BI, Excel, and Python for data extraction, analysis, modeling, and reporting.
- Analytical Expertise: Experience in developing dashboards, conducting advanced modeling, and performing complex data analysis.
- Data Quality & Governance: Strong understanding of data validation, reconciliation, and governance best practices.

Position Details
- **Status**:Permanent, fulltime
- **Workplace Model**: In-Offi