Banking Technology - Data & Functional Analyst

The opportunity

Join our dynamic Banking Technology team, where we help financial institutions transform through data-driven insights and digital innovation. As a Data Analyst, you will play a key role in delivering actionable intelligence to support strategic decision-making and operational efficiency across banking platforms.

Your key responsibilities

• Design and develop interactive dashboards and reports using Power BI and Tableau to visualize complex banking data.
• Collaborate with business stakeholders to gather requirements and translate them into analytical solutions.
• Perform data wrangling, cleansing, and transformation using SQL and other tools to ensure data quality and consistency.
• Analyze trends in customer behavior, risk, and operational performance to support business cases and regulatory reporting.
• Partner with cross-functional teams including technology, compliance, and product to deliver insights that drive innovation in banking services.
• Support data governance and metadata management initiatives in alignment with enterprise standards.
• Document data models, KPIs, and reporting logic to ensure transparency and reusability.

To qualify for the role you must have

• Bachelor’s degree in Data Science, Computer Science, Finance, or a related field.
• 3-5 years of experience in a similar role with a financial services focus.
• Proficiency in Power BI and Tableau, with a strong portfolio of dashboards and visualizations.
• Solid understanding of banking operations, including retail, commercial, or digital banking.
• Experience working with large datasets and relational databases (e.g., SQL Server, Azure Synapse, Oracle).
• Strong analytical mindset with the ability to communicate findings clearly to both technical and non-technical audiences.
• Familiarity with data governance tools (e.g., IBM Knowledge Catalog, Azure purview) is a plus.
• Agile and collaborative approach to problem-solving in a fast-paced environment.

Ideally, you’ll also have

• 3+ years of experience in data analytics or business intelligence, preferably within the financial services sector.
• Experience with cloud-based data platforms (e.g., Azure, AWS) is an asset.

This job posting relates to an existing vacancy within our organization.

What we offer

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a discretionary bonus program, a comprehensive medical, prescription drug and dental coverage plan, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

• Support and coaching from some of the most engaging colleagues in the industry
• Learning opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

EY reports salary ranges in accordance with applicable provincial pay transparency legislation. Individual salaries within the anticipated salary ranges noted below are determined through a wide variety of factors including but not limited to internal equity, education, relevant experience, knowledge, and applicable skill sets.

• Toronto: $80,000 to $120,000

Are you ready to shape your future with confidence? Apply today.

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Inclusiveness at EY

Inclusiveness is at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

Learn about our commitment to Inclusiveness at https://www.ey.com/en_ca/about-us/corporate-responsibility/equity

At EY, we use artificial intelligence (AI) tools as one element of our recruitment process to enhance efficiency and improve the candidate experience. While AI supports us in our process, human judgment and decision-making remain integral in our candidate experience. We are committed to the responsible use of AI, and our practices are continuously reviewed and refined to ensure they align with ethical principles and regulatory requirements.

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