Our mission is to help people and businesses prosper. Guided by our values “Simple, Personal, and Fair”, we strive to be the best open financial services platform, acting responsibly to earn the lasting loyalty of our people, customers, shareholders, and communities. We live this mission through our TEAMS behaviors: we Think Customer, Embrace Change, Act Now, Move Together, and Speak Up to create a culture of trust, innovation, and collaboration. We adopt a strong risk culture, and we expect all our professionals, regardless of their position, to have a proactive and responsible attitude towards risk management.

Reporting to the Vice President, Account Acquisitions, the Business Intelligence Analyst supports the Credit, Income, Funding, and Fraud functions by transforming operational data into reliable reporting, meaningful insights, and actionable recommendations. The role develops and maintains dashboards, recurring reports, analytical tools, and data models used to monitor operational performance, risk outcomes, service levels, process effectiveness, and emerging trends.

Working closely with business leaders and cross-functional partners, the Business Intelligence Analyst translates business questions into analytical requirements, validates information from multiple sources, identifies performance drivers and anomalies, and communicates findings in a clear and decision-oriented manner. The role supports reporting automation, data governance, forecasting, and the continued development of performance indicators across Account Acquisitions.

Job Duties and Responsibilities

Dashboard Development, Automation & BI Product Ownership

- Design, develop, maintain, and enhance interactive dashboards and self-service reporting solutions using Microsoft Power BI or comparable enterprise BI tools.
- Translate business requirements into clear metrics, dashboard designs, drill-down capabilities, and documented reporting specifications.
- Develop views that allow users to move from high-level key performance indicators to detailed operational drivers and process stages.
- Automate recurring data preparation, validation, and reporting processes using SQL, DAX, Power Query, Python, SAS, or comparable tools.
- Monitor dashboard refreshes, reporting failures, data availability, performance, and user feedback; troubleshoot issues and recommend improvements.
- Train business users on dashboard functionality, metric interpretation, and the appropriate use of analytical outputs.

Data Quality, Governance & Documentation

- Reconcile key reporting outputs to source systems and investigate discrepancies before information is distributed.
- Establish and maintain clear definitions for key performance indicators, measures, calculation methodologies, and reporting logic.
- Identify data gaps, duplicate information, inconsistent system usage, and other quality concerns that may affect reporting reliability.




- Partner with operational and technology teams to resolve data-quality issues and improve the capture of information at its source.
- Clearly communicate analytical assumptions, exclusions, methodology, data limitations, and known reporting dependencies.

Advanced Analysis & Decision Support

- Develop forecasts, scenarios, and sensitivity analyses to support operational planning and business decisions.
- Distinguish temporary fluctuations, data-quality issues, process-related effects, and sustained business trends.
- Evaluate new policies, systems, products, rules, controls, and workflows through pre- and post-implementation analysis.
- Present findings and recommendations using transparent methodology, documented assumptions, and clear limitations.
- Track implemented recommendations and process changes to determine whether expected benefits were achieved.

Collaboration & Communication

- Facilitate requirements-gathering discussions and convert stakeholder needs into documented reporting and data specifications.
- Manage competing reporting requests by assessing urgency, business impact, risk, effort, and recurring value.
- Stay current with industry trends, analytical methods, tools, and best practices in business intelligence and financial-services reporting.

Qualifications

- Bachelor’s degree in Engineering, Programming, Actuarial Science, Mathematics, or a related field.

Experience, Skills & Competencies

Experience:

- Minimum of 2–3 years of experience in a data analysis, business intelligence, or related role.
- Experience with data modeling techniques, including regression models.
- Familiarity with programming languages and tools such as SQL, DAX, Python, and/or SAS.
- Experience in creating dashboards and reports using Excel and other BI tools.
- Exposure to business development or pricing strategy analysis is an asset.
- Proficiency in Microsoft Office, particularly Excel.

Skills:

- Strong analytical skills with the ability to draw meaningful insights from data.
- Ability to clearly communicate complex information to diverse audiences.
- Skill in identifying issues, developing productive solutions, and applying structured problem-solving to moderately complex analytical challenges.

Competencies:

- Analytical thinking and problem-solving to interpret data, identify trends, and support routine and defined analytical tasks.
- Attention to detail and numerical accuracy when preparing reports, validating data, and maintaining reliable information sources.
- Effective planning, organization, and time management to balance recurring reporting cycles, ad hoc requests,



and shifting priorities.
- Initiative and innovation in improving processes, proposing ideas, and enhancing the efficiency of analytical workflows.
- Adaptability and flexibility in a dynamic environment with frequent task switching and evolving business needs.
- Collaboration and communication across departments to ensure analytical outputs are clear, reliable, and aligned with operational requirements.
- Commitment to continuous learning in business intelligence tools, analytical methods, and industry best practices.
- Ability to work independently on routine tasks while exercising judgment within established procedures and guidelines.

Working Conditions / Physical Requirements

- Work is performed in a professional office environment using standard office equipment.
- Involves extended periods of sitting, screen time, and sustained mental concentration for numerical and analytical tasks.
- Requires frequent task switching and handling routine interruptions.
- May involve repetitive data entry and typical office tasks.
- Occasional increases in workload during reporting cycles.
- No travel required.

Conditions of Employment

- Must be legally entitled to work in Canada.
- Successful completion of a background check, including criminal record prior to employment.
- Compliance with Santander Consumer Canada’s Code of Conduct, Information Security policies, and applicable regulatory requirements.

Why Join Us?

At Santander Consumer Bank, we are committed to fostering a culture of compliance and ethical behavior, ensuring that our operations align with laws, regulations, and internal policies. We value innovation and collaboration. As a part of the team, you will have the opportunity to contribute to the success of our business while furthering your career in a supportive and dynamic setting. Join us in our mission to create a safe and secure environment for our customers, stakeholders and our employees.

Application Process

Interested candidates should submit their resume and cover letters detailing their relevant experience and interest in the position. Please note that only shortlisted candidates will be contacted.

Santander Consumer Bank is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Benefits:

- Dental care
- Disability insurance
- Extended health care
- Paid time off
- Vision care

Ability to commute/relocate:

- Edmonton, AB T6E 5Y7: reliably commute or plan to relocate before starting work (preferred)

Application question(s):

- Are you familiar with languages and tools such as SQL, DAX, Python, and/or SAS?
- Do you have experience with data modeling techniques, including regression models?

Experience:

- data analysis, business intelligence, or related role: 3 years (preferred)

Location:

- Edmonton, AB T6E 5Y7 (preferred)

Work Location: In person

📌 Business Intelligence Analyst (Southeast Edmonton)
🏢 Santander Consumer Bank
📍 Southeast Edmonton