Senior 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 are dedicated not only to transforming banking but also to making a 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 Senior Data Analyst to join as a key contributor with the Bank’s Data, Technology and Innovation (DTI) 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.

The Senior Data Analyst is responsible for analyzing and transforming data into meaningful insights that drive informed and strategic decision‑making. This role will develop and maintain advanced analytical models, including statistical and machine learning models, as well as build dashboards, data extraction and transformation logic, as well as reports and dashboards to ensure accuracy and relevance in business processes.

The Senior Data Analyst will take a hands‑on approach to advanced model development, data extraction, validation, and visualization, leveraging SQL, Power BI, Excel, and Python to support analytical needs across the organization. Advanced model development includes all components of the data science lifecycle, including exploratory data analysis (EDA), feature engineering, model evaluation and selection using appropriate statistical and machine learning techniques, as well as visualization of model and data output.

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, while strengthening modeling rigor and supporting the growth of the organization’s data and analytics capabilities.

Position Responsibilities

Data Analysis & Modeling:
Analyze complex datasets to identify trends, patterns, and insights that support data‑driven decision‑making. This includes the development of advanced analytical models for exception reporting, regulatory analysis, corporate performance evaluation, and forecasting to assess business impacts and opportunities. Apply statistical and machine learning techniques where appropriate to enhance accuracy and predictive capability.

Dashboard & Reporting Development:
Design, build, and maintain interactive Power BI dashboards and reports, ensuring accuracy, performance, and usability. Automate reporting processes where possible and work with business teams to refine visualizations that support business objectives and enable self‑service analytics.

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, datasets, and feature sets to support self‑service reporting, advanced analysis, and model development.

Advanced Analytics & Model Development:
Conduct exploratory data analysis (EDA), feature engineering, and the development, comparison, and evaluation of statistical and machine learning models. Ensure models are validated, monitored, and refined to maintain accuracy and business relevance.

Data Governance & Performance Monitoring:
Support data governance by…